Analysis of Short-term (Operating) Activity Ratios
Quarterly Data
Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Short-term Activity Ratios (Summary)
Microchip Technology Inc., short-term (operating) activity ratios (quarterly data)
Based on: 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-K (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-K (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-K (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-K (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-K (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-K (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-Q (reporting date: 2016-06-30).
- Inventory Turnover
- The inventory turnover ratio shows a declining trend over the analyzed period. Starting at 3.96 in March 2017, the ratio gradually decreases to 2.27 by December 2022. This decline suggests that the company is turning over its inventory less frequently, potentially indicating slower sales or increasing inventory levels relative to cost of goods sold.
- Receivables Turnover
- The receivables turnover ratio exhibits fluctuations, with a peak of 9.22 in December 2017 and lower values around 5.3 to 6.9 in later periods. Though it recovers somewhat after dropping, the overall trend suggests moderate variability in how efficiently the company collects its receivables over time.
- Payables Turnover
- The payables turnover ratio generally declines from 11.06 in March 2017 to a range around 6.7 to 7.5 in the most recent quarters. This declining trend implies the company is taking longer to pay its suppliers, which can affect supplier relationships but may also indicate improved cash management or liquidity preservation efforts.
- Working Capital Turnover
- Working capital turnover ratios show significant volatility, with notable spikes to very high values such as 52.68 and 55.51 in two distinct quarters. Excluding these outliers, the turnover remains mostly between approximately 2 and 7, indicating a generally stable but episodically erratic efficiency in utilizing working capital to generate sales. The sporadic extreme values may be due to short-term anomalies or data irregularities.
- Average Inventory Processing Period
- The average inventory processing period steadily increases from 92 days in March 2017 to 160 days by December 2022. This longer duration confirms the observation from inventory turnover that inventory is held longer before sale, reflecting potentially slower inventory movement or strategic stockpiling.
- Average Receivable Collection Period
- This metric remains relatively stable, fluctuating mildly between approximately 40 and 68 days throughout the period. The overall stability indicates consistent effectiveness in collecting receivables, with no significant deterioration or improvement over time.
- Operating Cycle
- The operating cycle extends from 143 days in March 2017 to 213 days by December 2022, indicating that the total time taken from inventory acquisition through receivable collection has increased substantially. This lengthening cycle reflects the combined effects of slower inventory processing and stable receivable collection.
- Average Payables Payment Period
- The average payables payment period shows an upward trend with notable fluctuations, increasing from 33 days at the start to around the 45-54 day range in recent quarters. This signifies a tendency to stretch payables over a longer period, which could be a cash management strategy or a result of changing supplier terms.
- Cash Conversion Cycle
- The cash conversion cycle displays a noticeable increase from 110 days in March 2017 to 164 days at the end of 2022. This pattern denotes a growing period between cash outflow and cash inflow, highlighting increasing working capital demands and potential strain on liquidity management.
Turnover Ratios
Average No. Days
Inventory Turnover
Microchip Technology Inc., inventory turnover calculation (quarterly data)
| Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||||||||
| Cost of sales | 698,400) | 675,300) | 653,700) | 623,800) | 604,200) | 581,500) | 561,800) | 540,300) | 506,300) | 501,600) | 511,400) | 512,500) | 501,900) | 510,300) | 507,400) | 509,400) | 595,100) | 743,200) | 570,500) | 387,207) | 387,146) | 398,045) | 387,702) | 369,840) | 369,107) | 460,743) | 450,921) | ||||||||
| Inventories | 1,165,400) | 1,030,300) | 911,800) | 854,400) | 768,200) | 713,600) | 683,800) | 665,000) | 666,100) | 661,400) | 657,200) | 685,700) | 708,800) | 734,200) | 733,100) | 711,700) | 702,500) | 836,700) | 1,104,800) | 476,200) | 487,065) | 456,939) | 426,843) | 417,202) | 419,618) | 424,690) | 518,431) | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
| Inventory turnover1 | 2.27 | 2.48 | 2.70 | 2.78 | 2.98 | 3.07 | 3.09 | 3.10 | 3.05 | 3.07 | 3.10 | 2.96 | 2.86 | 2.89 | 3.21 | 3.40 | 3.27 | 2.50 | 1.58 | 3.28 | 3.17 | 3.34 | 3.72 | 3.96 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 2.74 | 2.70 | 3.05 | 3.45 | 3.62 | 4.24 | 4.00 | 4.35 | 4.15 | 4.10 | 3.81 | 3.87 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Analog Devices Inc. | 2.61 | 2.68 | 2.84 | 3.20 | 3.82 | 3.78 | 3.66 | 2.33 | 3.16 | 3.16 | 3.18 | 3.14 | 3.12 | 3.23 | 3.28 | 3.24 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Applied Materials Inc. | 2.45 | 2.41 | 2.32 | 2.33 | 2.42 | 2.60 | 2.79 | 2.82 | 2.80 | 2.65 | 2.55 | 2.44 | 2.30 | 2.32 | 2.43 | 2.37 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Broadcom Inc. | 6.10 | 6.00 | 5.98 | 5.77 | 5.92 | 6.40 | 6.95 | 8.18 | 9.10 | 10.44 | 11.01 | 10.34 | 9.51 | 10.76 | 10.73 | 11.57 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intel Corp. | 2.85 | 2.78 | 2.68 | 2.74 | 2.90 | 3.02 | 2.97 | 3.27 | 3.50 | 3.91 | 4.15 | 4.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| KLA Corp. | 1.54 | 1.63 | 1.59 | 1.67 | 1.71 | 1.75 | 1.73 | 1.76 | 1.81 | 1.76 | 1.77 | 1.87 | 1.91 | 1.85 | 1.67 | 1.48 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lam Research Corp. | 2.14 | 2.16 | 2.24 | 2.36 | 2.60 | 2.89 | 2.95 | 2.91 | 2.78 | 2.71 | 2.77 | 2.86 | 3.11 | 3.42 | 3.51 | 3.44 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Micron Technology Inc. | 2.01 | 2.06 | 1.91 | 2.53 | 3.06 | 3.14 | 3.60 | 3.85 | 3.73 | 3.43 | 2.74 | 2.65 | 2.66 | 2.62 | 2.67 | 2.48 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| NVIDIA Corp. | 2.70 | 3.02 | 3.25 | 3.62 | 3.87 | 3.75 | 3.63 | 3.44 | 3.69 | 3.47 | 3.81 | 4.24 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Qualcomm Inc. | 2.54 | 2.61 | 2.65 | 2.94 | 3.27 | 3.58 | 3.90 | 4.42 | 4.18 | 4.41 | 4.17 | 3.56 | 3.67 | 5.08 | 6.00 | 6.14 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Texas Instruments Inc. | 1.65 | 1.70 | 1.92 | 2.27 | 2.56 | 2.74 | 2.88 | 3.12 | 3.18 | 3.12 | 2.88 | 2.66 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-K (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-K (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-K (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-K (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-K (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-K (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-Q (reporting date: 2016-06-30).
1 Q3 2023 Calculation
Inventory turnover
= (Cost of salesQ3 2023
+ Cost of salesQ2 2023
+ Cost of salesQ1 2023
+ Cost of salesQ4 2022)
÷ Inventories
= (698,400 + 675,300 + 653,700 + 623,800)
÷ 1,165,400 = 2.27
2 Click competitor name to see calculations.
- Cost of Sales
- Over the observed periods, the cost of sales exhibits a fluctuating but generally upward trend. Initially, the values range around 370,000 to 460,000 thousand US dollars in 2016 and early 2017. There is a noticeable increase starting in mid-2018, peaking above 740,000 thousand US dollars, followed by a slight decline and relative stabilization around 500,000 to 600,000 thousand US dollars into 2019 and early 2020. From mid-2020 onwards, the cost of sales gradually increases once again, reaching near 700,000 thousand US dollars by the end of 2022. This suggests a recovery and growth in the scale of operations or increased production costs over time, especially post-2020.
- Inventories
- Inventories show a marked variability with a clear upward trajectory overall. Starting in mid-2016, inventory levels hover between approximately 420,000 and 520,000 thousand US dollars. A major spike occurs around mid-2018, where inventories surge to over 1.1 million thousand US dollars, which is more than double previous levels. After this peak, there is a decrease and stabilization around 700,000 to 730,000 thousand US dollars through 2019. From 2020 onward, inventory levels steadily increase again, surpassing 1.1 million thousand US dollars near the end of 2022. This pattern indicates significant buildup in stock, possibly related to strategic stockpiling, supply chain adjustments, or anticipation of increased demand.
- Inventory Turnover
- Inventory turnover ratio data is incomplete but reveals important trends starting from late 2016. The ratio begins above 3.9, indicating efficient inventory management or faster sales relative to inventory levels. However, a downward trend ensues, dropping to approximately 1.58 by mid-2018, coinciding with the inventory spike noted earlier. Subsequently, turnover improves, climbing back above 3.0 and maintaining this level through 2019 and early 2020, suggesting a return to more effective inventory utilization. After early 2020, the turnover ratio gradually declines again to about 2.27 by the end of 2022, aligning with the increasing inventory levels and rising cost of sales. This decline suggests slower inventory movement relative to stocks, which could point to overstocking or slowing sales velocity during that time frame.
- Overall Insights
- The data reveals cyclical patterns and notable shifts in inventory management and cost dynamics. The significant increase in inventories around mid-2018, coupled with a sharp drop in inventory turnover, indicates a period of accumulating stock that was not immediately matched by sales velocity. Post-2020, the simultaneous rise in both cost of sales and inventories, alongside a decrease in turnover, implies expanding operations but potentially increasing inefficiencies or market challenges affecting inventory turnover. Continuous monitoring of these trends is essential to optimize inventory levels, manage costs effectively, and sustain operational efficiency.
Receivables Turnover
Microchip Technology Inc., receivables turnover calculation (quarterly data)
| Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||||||||
| Net sales | 2,169,200) | 2,073,200) | 1,963,600) | 1,844,200) | 1,757,500) | 1,649,800) | 1,569,400) | 1,467,100) | 1,352,100) | 1,309,500) | 1,309,700) | 1,326,400) | 1,287,400) | 1,337,800) | 1,322,600) | 1,329,800) | 1,374,700) | 1,432,500) | 1,212,500) | 1,002,315) | 994,205) | 1,012,139) | 972,141) | 902,666) | 834,366) | 871,364) | 799,411) | ||||||||
| Accounts receivable, net | 1,175,000) | 1,133,200) | 1,145,000) | 1,072,600) | 930,100) | 985,600) | 1,000,700) | 997,700) | 893,800) | 903,700) | 894,300) | 934,000) | 807,500) | 848,600) | 936,800) | 880,600) | 544,800) | 668,800) | 789,400) | 563,700) | 553,135) | 545,416) | 528,954) | 478,373) | 475,093) | 451,042) | 435,511) | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
| Receivables turnover1 | 6.85 | 6.74 | 6.30 | 6.36 | 6.93 | 6.13 | 5.69 | 5.45 | 5.93 | 5.79 | 5.88 | 5.65 | 6.54 | 6.32 | 5.83 | 6.07 | 9.22 | 6.94 | 5.35 | 7.06 | 7.02 | 6.82 | 6.77 | 7.12 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 4.37 | 5.07 | 5.71 | 5.72 | 5.26 | 5.33 | 5.13 | 6.07 | 6.68 | 6.60 | 5.24 | 4.73 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Analog Devices Inc. | 7.94 | 7.96 | 7.72 | 6.67 | 6.37 | 6.07 | 5.16 | 5.02 | 7.90 | 7.62 | 7.08 | 7.60 | 8.10 | 9.42 | 9.85 | 9.43 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Applied Materials Inc. | 5.08 | 4.83 | 4.88 | 4.25 | 5.08 | 5.09 | 5.49 | 4.66 | 5.66 | 5.87 | 5.98 | 5.81 | 5.80 | 5.88 | 5.61 | 5.77 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Broadcom Inc. | 12.17 | 11.56 | 10.64 | 11.22 | 11.70 | 9.73 | 11.23 | 13.25 | 11.87 | 10.54 | 9.78 | 10.40 | 8.64 | 7.13 | 6.21 | 6.93 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intel Corp. | 18.59 | 18.04 | 14.66 | 15.26 | 9.31 | 12.11 | 10.98 | 8.36 | 9.34 | 10.40 | 10.78 | 11.48 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| KLA Corp. | 5.48 | 4.59 | 5.30 | 5.08 | 5.34 | 4.72 | 5.10 | 5.30 | 5.37 | 4.98 | 5.77 | 5.24 | 5.01 | 4.43 | 4.59 | 4.61 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lam Research Corp. | 5.78 | 4.68 | 3.94 | 3.99 | 4.52 | 4.86 | 4.64 | 4.83 | 4.72 | 4.11 | 4.77 | 4.79 | 4.39 | 4.70 | 5.80 | 6.63 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Micron Technology Inc. | 7.48 | 10.12 | 8.18 | 6.00 | 5.20 | 5.79 | 5.64 | 5.22 | 6.02 | 7.01 | 5.98 | 5.48 | 5.62 | 6.43 | 6.04 | 7.33 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| NVIDIA Corp. | 5.82 | 5.59 | 5.43 | 5.79 | 6.14 | 6.11 | 6.37 | 6.86 | 5.80 | 6.27 | 6.18 | 6.59 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Texas Instruments Inc. | 9.17 | 9.62 | 10.39 | 10.57 | 9.90 | 8.95 | 10.56 | 10.78 | 10.64 | 10.54 | 9.74 | 10.23 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-K (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-K (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-K (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-K (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-K (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-K (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-Q (reporting date: 2016-06-30).
1 Q3 2023 Calculation
Receivables turnover
= (Net salesQ3 2023
+ Net salesQ2 2023
+ Net salesQ1 2023
+ Net salesQ4 2022)
÷ Accounts receivable, net
= (2,169,200 + 2,073,200 + 1,963,600 + 1,844,200)
÷ 1,175,000 = 6.85
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals several notable trends and patterns over the examined periods.
- Net Sales
- Net sales exhibit an overall upward trend from June 2016 through December 2022. Starting at approximately 799 million USD in mid-2016, sales generally increase with some fluctuations. There is a significant rise between mid-2017 and late 2018, with sales reaching over 1.4 billion USD by September 2018. After a slight decline in late 2018 and early 2019, sales stabilize and then continue growing steadily from 2020 onward. The peak value appears in December 2022 with net sales exceeding 2.1 billion USD, indicating considerable growth over the nearly six-year span.
- Accounts Receivable, Net
- Accounts receivable increase noticeably over the period, starting at about 435 million USD in mid-2016 and rising with some volatility through to 2022. A striking surge is observed between mid-2017 and mid-2019, particularly in March 2019 where receivables reach around 880 million USD, coinciding with sales growth but at a faster pace, suggesting a buildup in outstanding customer balances. The amount fluctuates but maintains an upward trajectory, culminating in more than 1.1 billion USD near the end of 2022. This increase may reflect extended credit policies or slower collections.
- Receivables Turnover
- Receivables turnover ratio, which measures how efficiently the company collects its receivables, shows variability over the periods for which it is available. Beginning at values just above 7.0 in mid-2017, the ratio dips noticeably to lows around 5.3 to 5.5 in several quarters from 2018 through 2020. This decline aligns with the increases in accounts receivable, indicating a slower collection cycle. Subsequently, the turnover ratio improves somewhat, reaching near 6.9 by December 2021 and maintaining values in the mid-6 range through 2022. Although there is improvement, the turnover does not return to the higher levels seen in earlier periods, suggesting a persistent elongation of the collection period compared to the initial years analyzed.
In summary, while net sales demonstrate strong growth suggesting expanding market demand or higher sales volume, the increasing accounts receivable and the declining then partially recovering turnover ratios signal potential challenges in receivables management. The company may be experiencing longer collection times or offering more lenient credit terms, which could impact cash flow despite growing revenues.
Payables Turnover
Microchip Technology Inc., payables turnover calculation (quarterly data)
| Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||||||||
| Cost of sales | 698,400) | 675,300) | 653,700) | 623,800) | 604,200) | 581,500) | 561,800) | 540,300) | 506,300) | 501,600) | 511,400) | 512,500) | 501,900) | 510,300) | 507,400) | 509,400) | 595,100) | 743,200) | 570,500) | 387,207) | 387,146) | 398,045) | 387,702) | 369,840) | 369,107) | 460,743) | 450,921) | ||||||||
| Accounts payable | 354,800) | 379,800) | 304,700) | 344,700) | 301,300) | 302,600) | 284,400) | 292,400) | 259,800) | 216,900) | 211,100) | 246,800) | 209,300) | 235,600) | 245,700) | 226,400) | 236,000) | 271,200) | 318,200) | 144,100) | 162,718) | 182,599) | 171,857) | 149,233) | 135,160) | 131,625) | 137,614) | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
| Payables turnover1 | 7.47 | 6.73 | 8.08 | 6.88 | 7.59 | 7.24 | 7.42 | 7.04 | 7.82 | 9.35 | 9.65 | 8.23 | 9.69 | 9.01 | 9.59 | 10.68 | 9.73 | 7.70 | 5.48 | 10.83 | 9.48 | 8.35 | 9.24 | 11.06 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 4.73 | 3.98 | 4.50 | 4.40 | 4.46 | 5.97 | 5.78 | 6.05 | 7.29 | 8.31 | 6.38 | 9.92 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Analog Devices Inc. | 7.62 | 7.76 | 8.09 | 7.70 | 8.43 | 9.01 | 8.17 | 6.30 | 7.82 | 7.25 | 8.66 | 8.42 | 8.85 | 9.83 | 9.12 | 8.78 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Broadcom Inc. | 11.34 | 13.62 | 12.31 | 11.13 | 15.27 | 9.98 | 9.80 | 9.77 | 10.91 | 12.63 | 11.67 | 12.41 | 9.41 | 8.33 | 10.28 | 11.83 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intel Corp. | 3.77 | 3.81 | 4.30 | 3.77 | 5.21 | 4.63 | 4.92 | 6.13 | 5.05 | 5.82 | 6.49 | 6.14 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| KLA Corp. | 10.30 | 7.77 | 7.96 | 8.10 | 7.98 | 8.43 | 7.79 | 8.10 | 8.88 | 9.53 | 9.69 | 9.27 | 9.95 | 9.03 | 9.45 | 9.24 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lam Research Corp. | 17.34 | 11.33 | 8.52 | 9.25 | 8.99 | 9.31 | 10.12 | 9.43 | 9.33 | 8.82 | 8.94 | 9.18 | 10.43 | 11.56 | 12.52 | 14.06 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| NVIDIA Corp. | 8.08 | 4.86 | 5.13 | 5.29 | 5.19 | 5.38 | 5.94 | 5.23 | 5.03 | 5.44 | 5.65 | 6.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Qualcomm Inc. | 9.67 | 12.50 | 7.17 | 4.91 | 4.72 | 4.37 | 4.28 | 5.19 | 4.83 | 4.62 | 4.38 | 4.12 | 4.21 | 4.19 | 4.96 | 6.29 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Texas Instruments Inc. | 9.03 | 6.87 | 6.63 | 7.35 | 7.89 | 8.46 | 9.27 | 9.14 | 9.93 | 9.86 | 9.60 | 12.51 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-K (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-K (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-K (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-K (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-K (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-K (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-Q (reporting date: 2016-06-30).
1 Q3 2023 Calculation
Payables turnover
= (Cost of salesQ3 2023
+ Cost of salesQ2 2023
+ Cost of salesQ1 2023
+ Cost of salesQ4 2022)
÷ Accounts payable
= (698,400 + 675,300 + 653,700 + 623,800)
÷ 354,800 = 7.47
2 Click competitor name to see calculations.
- Cost of Sales
- The cost of sales exhibited a fluctuating pattern over the observed quarters. Initial values from mid-2016 show a general stabilization around the range of approximately 370,000 to 400,000 thousand US dollars. Beginning in mid-2018, there was a pronounced increase, with costs peaking near 743,200 thousand US dollars in late 2018. Subsequently, costs gradually declined through 2019 and early 2020, stabilizing around the 500,000 to 510,000 thousand US dollars range. Starting mid-2020, another upward trend began, with consistent quarterly increases leading to costs surpassing 690,000 thousand US dollars by the end of 2022. This trend indicates rising expenses relative to production or sales activities in recent years, especially pronounced after mid-2020.
- Accounts Payable
- Accounts payable started at a modest level relative to cost of sales in 2016, generally fluctuating between 130,000 to 185,000 thousand US dollars through early 2018. From mid-2018 onward, accounts payable showed significant volatility with noticeable spikes, such as reaching 318,200 thousand US dollars in mid-2018. After some fluctuations around 230,000 to 250,000 thousand US dollars through 2019 and early 2020, a strong upward trend resumed from mid-2020, with accounts payable reaching peaks above 379,800 thousand US dollars by late 2022. This suggests an increasing outstanding obligation to suppliers, potentially reflecting changes in payment policies or purchasing volumes concurrent with the rising cost of sales.
- Payables Turnover Ratio
- The payables turnover ratio data is partially missing in early periods and appears from the end of 2016. Initially, the ratio was high, above 10, implying a rapid turnover of payables. However, this metric trended downward through 2017 and 2018, reaching lows around 5.48 in mid-2018, indicating slower payment to suppliers or longer credit terms during this period. From late 2018 onward, the ratio fluctuated between approximately 6.7 and 9.7 without a clear directional trend but generally remaining lower than the initial observed levels. The moderation in turnover ratio suggests a shift toward more extended payment practices or changes in supplier credit arrangements, possibly aligning with the rising accounts payable balances.
- Overall Analysis
- The financial data reveals that both cost of sales and accounts payable increased significantly especially from mid-2018 onwards, with a sharper increase beginning in mid-2020. The payables turnover ratio decreased concurrently, indicating that payables are being settled more slowly. This combination may reflect strategic adjustments in supplier payment terms or increased purchasing to support business growth or inventory accumulation. The rising cost of sales aligns with growing procurement needs, but the deceleration in payable turnover highlights potential impacts on cash flow management. Continuous monitoring of these metrics is advisable to assess risks related to supplier relations and liquidity.
Working Capital Turnover
Microchip Technology Inc., working capital turnover calculation (quarterly data)
| Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||||||||
| Current assets | 2,833,700) | 2,676,000) | 2,643,200) | 2,452,600) | 2,200,500) | 2,149,100) | 2,157,100) | 2,145,200) | 2,152,500) | 2,122,100) | 2,135,000) | 2,217,200) | 2,104,000) | 2,177,800) | 2,278,500) | 2,214,800) | 1,877,600) | 2,176,200) | 2,818,400) | 3,356,300) | 2,253,441) | 2,443,422) | 2,298,762) | 2,305,040) | 1,676,750) | 1,490,735) | 1,672,988) | ||||||||
| Less: Current liabilities | 1,611,100) | 2,538,400) | 1,485,400) | 1,399,000) | 1,218,700) | 1,121,800) | 1,089,100) | 2,409,600) | 2,522,200) | 1,975,200) | 2,585,800) | 1,637,400) | 2,336,600) | 2,423,400) | 2,450,800) | 2,374,500) | 643,700) | 2,088,100) | 2,139,300) | 2,017,400) | 756,832) | 734,186) | 736,443) | 704,450) | 651,553) | 578,803) | 573,285) | ||||||||
| Working capital | 1,222,600) | 137,600) | 1,157,800) | 1,053,600) | 981,800) | 1,027,300) | 1,068,000) | (264,400) | (369,700) | 146,900) | (450,800) | 579,800) | (232,600) | (245,600) | (172,300) | (159,700) | 1,233,900) | 88,100) | 679,100) | 1,338,900) | 1,496,609) | 1,709,236) | 1,562,319) | 1,600,590) | 1,025,197) | 911,932) | 1,099,703) | ||||||||
| Net sales | 2,169,200) | 2,073,200) | 1,963,600) | 1,844,200) | 1,757,500) | 1,649,800) | 1,569,400) | 1,467,100) | 1,352,100) | 1,309,500) | 1,309,700) | 1,326,400) | 1,287,400) | 1,337,800) | 1,322,600) | 1,329,800) | 1,374,700) | 1,432,500) | 1,212,500) | 1,002,315) | 994,205) | 1,012,139) | 972,141) | 902,666) | 834,366) | 871,364) | 799,411) | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
| Working capital turnover1 | 6.58 | 55.51 | 6.23 | 6.47 | 6.56 | 5.88 | 5.34 | — | — | 35.62 | — | 9.10 | — | — | — | — | 4.07 | 52.68 | 6.22 | 2.97 | 2.59 | 2.18 | 2.29 | 2.13 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 2.44 | 2.45 | 2.54 | 2.73 | 2.95 | 2.72 | 2.42 | 3.78 | 3.36 | 2.71 | 2.64 | 2.62 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Analog Devices Inc. | 6.41 | 6.13 | 4.61 | 4.81 | 4.94 | 4.23 | 3.50 | 2.81 | 21.89 | 49.24 | 6.18 | 4.86 | 6.92 | 11.81 | 40.91 | 12.57 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Applied Materials Inc. | 2.49 | 2.69 | 2.77 | 3.02 | 2.93 | 2.89 | 2.56 | 2.36 | 2.14 | 1.95 | 1.86 | 1.93 | 2.04 | 1.94 | 2.42 | 2.54 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Broadcom Inc. | 3.23 | 3.38 | 3.03 | 2.90 | 3.58 | 3.80 | 3.15 | 2.66 | 2.90 | 3.27 | 3.25 | 4.32 | 3.32 | 3.00 | 5.19 | 7.49 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intel Corp. | 3.48 | 3.34 | 2.70 | 3.45 | 3.24 | 3.14 | 2.34 | 2.61 | 2.47 | 3.16 | 3.59 | 3.46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| KLA Corp. | 2.31 | 2.25 | 2.19 | 2.14 | 2.30 | 2.08 | 2.06 | 1.93 | 1.91 | 1.90 | 1.97 | 1.92 | 2.10 | 1.99 | 2.03 | 1.79 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lam Research Corp. | 2.03 | 2.08 | 2.10 | 2.23 | 2.18 | 2.01 | 2.04 | 1.80 | 1.72 | 1.51 | 1.41 | 1.31 | 1.32 | 1.62 | 1.49 | 1.56 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Micron Technology Inc. | 1.09 | 1.39 | 1.66 | 2.16 | 2.06 | 2.14 | 2.17 | 2.05 | 1.95 | 1.98 | 2.04 | 1.89 | 1.73 | 1.93 | 2.10 | 2.31 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| NVIDIA Corp. | 1.75 | 1.50 | 1.23 | 1.10 | 1.09 | 1.03 | 1.36 | 1.37 | 1.38 | 1.06 | 0.67 | 0.92 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Qualcomm Inc. | 3.21 | 3.66 | 3.90 | 4.99 | 5.88 | 4.80 | 4.53 | 4.13 | 3.96 | 3.19 | 2.53 | 2.39 | 2.62 | 4.47 | 3.50 | 3.10 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Texas Instruments Inc. | 1.46 | 1.47 | 1.61 | 1.81 | 1.84 | 1.87 | 1.65 | 1.65 | 1.57 | 1.87 | 1.77 | 1.84 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-K (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-K (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-K (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-K (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-K (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-K (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-Q (reporting date: 2016-06-30).
1 Q3 2023 Calculation
Working capital turnover
= (Net salesQ3 2023
+ Net salesQ2 2023
+ Net salesQ1 2023
+ Net salesQ4 2022)
÷ Working capital
= (2,169,200 + 2,073,200 + 1,963,600 + 1,844,200)
÷ 1,222,600 = 6.58
2 Click competitor name to see calculations.
The financial data exhibits notable fluctuations across the periods analyzed, highlighting both volatility and growth patterns in key financial metrics.
- Working Capital
- The working capital levels demonstrate considerable variability over the quarters. Initially, from mid-2016 to early 2017, working capital increased from approximately 1.1 billion USD to 1.6 billion USD, indicating improved short-term financial strength. However, starting mid-2018, there is a marked decline, with working capital dropping into negative territory around early 2019, reflecting potential liquidity challenges during that period. Subsequently, working capital values oscillate between negative and positive figures, with some recovery observed in mid-2021 and early 2022, though the levels remain significantly more volatile compared to earlier years.
- Net Sales
- Net sales show a consistent upward trend throughout the entire timeframe. Beginning at roughly 799 million USD in mid-2016, sales steadily increase quarter-over-quarter, reaching over 2.1 billion USD by the end of 2022. This represents a near tripling of sales volume within six and a half years. The growth appears smooth with no sharp declines or downturns, suggesting sustained demand and successful revenue generation efforts.
- Working Capital Turnover Ratio
- The working capital turnover ratio, which measures sales relative to working capital, exhibits irregular and sometimes extreme values, partly due to fluctuations and occasional negative values in working capital. In early 2018, an unusually high ratio (52.68) appears, likely driven by low or negative working capital figures. Other spikes, such as one reaching 55.51 in late 2022, further demonstrate volatility in this ratio. Outside of these outliers, the ratio generally oscillates within a range from around 2.0 to 9.0, indicating varying efficiency in utilizing working capital to generate sales across different quarters. The variability suggests periods of both improved and constrained operational efficiency related to working capital management.
Overall, while net sales show a steady and robust upward trajectory, working capital and its turnover ratio reveal periods of financial stress and recovery, reflecting possible challenges in liquidity management and operational efficiency over the observed timeline. Monitoring and addressing working capital dynamics will be important to sustain growth and maintain financial stability.
Average Inventory Processing Period
Microchip Technology Inc., average inventory processing period calculation (quarterly data)
| Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||||||||
| Inventory turnover | 2.27 | 2.48 | 2.70 | 2.78 | 2.98 | 3.07 | 3.09 | 3.10 | 3.05 | 3.07 | 3.10 | 2.96 | 2.86 | 2.89 | 3.21 | 3.40 | 3.27 | 2.50 | 1.58 | 3.28 | 3.17 | 3.34 | 3.72 | 3.96 | — | — | — | ||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||||
| Average inventory processing period1 | 160 | 147 | 135 | 132 | 123 | 119 | 118 | 118 | 120 | 119 | 118 | 123 | 128 | 126 | 114 | 107 | 112 | 146 | 231 | 111 | 115 | 109 | 98 | 92 | — | — | — | ||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 133 | 135 | 120 | 106 | 101 | 86 | 91 | 84 | 88 | 89 | 96 | 94 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Analog Devices Inc. | 140 | 136 | 129 | 114 | 96 | 97 | 100 | 157 | 115 | 116 | 115 | 116 | 117 | 113 | 111 | 113 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Applied Materials Inc. | 149 | 152 | 157 | 157 | 151 | 140 | 131 | 129 | 130 | 138 | 143 | 150 | 159 | 157 | 150 | 154 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Broadcom Inc. | 60 | 61 | 61 | 63 | 62 | 57 | 53 | 45 | 40 | 35 | 33 | 35 | 38 | 34 | 34 | 32 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intel Corp. | 128 | 131 | 136 | 133 | 126 | 121 | 123 | 112 | 104 | 93 | 88 | 90 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| KLA Corp. | 237 | 225 | 230 | 218 | 214 | 208 | 211 | 207 | 202 | 207 | 206 | 195 | 191 | 197 | 219 | 247 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lam Research Corp. | 171 | 169 | 163 | 155 | 140 | 126 | 124 | 126 | 131 | 135 | 132 | 128 | 117 | 107 | 104 | 106 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Micron Technology Inc. | 182 | 177 | 192 | 144 | 119 | 116 | 101 | 95 | 98 | 106 | 133 | 138 | 137 | 139 | 137 | 147 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| NVIDIA Corp. | 135 | 121 | 112 | 101 | 94 | 97 | 100 | 106 | 99 | 105 | 96 | 86 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Qualcomm Inc. | 144 | 140 | 138 | 124 | 112 | 102 | 93 | 83 | 87 | 83 | 88 | 102 | 99 | 72 | 61 | 59 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Texas Instruments Inc. | 222 | 215 | 190 | 161 | 143 | 133 | 127 | 117 | 115 | 117 | 127 | 137 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-K (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-K (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-K (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-K (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-K (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-K (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-Q (reporting date: 2016-06-30).
1 Q3 2023 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.27 = 160
2 Click competitor name to see calculations.
The inventory turnover ratio exhibits notable fluctuations over the analyzed periods. Initially, the ratio shows a decline from 3.96 to 3.17 between March 31, 2017, and March 31, 2018, indicating slower inventory turnover. A sharp drop to 1.58 on June 30, 2018, is observed, suggesting a significant slowdown in inventory sales or an accumulation of inventory during that quarter. Subsequently, the ratio recovers to approximately 3.27 by December 31, 2018, and then experiences minor fluctuations, generally stabilizing around 3.0 through 2020 and 2021. From late 2021 onward, the inventory turnover ratio trends downward, falling from 2.98 on December 31, 2021, to 2.27 by December 31, 2022, reflecting a consistent deceleration in inventory turnover during this period.
The average inventory processing period, measured in number of days, mirrors the inverse relationship with the inventory turnover ratio. The period increases from 92 days on March 31, 2017, to a peak of 231 days on June 30, 2018, which coincides with the lowest inventory turnover ratio, indicating prolonged inventory holding times. After this peak, the processing period decreases steadily to 112 days by December 31, 2018, and then gradually increases again to a range of around 118 to 123 days across 2019 to early 2022. This suggests a relatively stable inventory management timeframe during these years but longer than the period observed in early 2017. In the later part of the dataset, specifically from mid-2022 forward, the processing period extends further, reaching 160 days by December 31, 2022, consistent with the observed decline in turnover ratios and implying an increasing delay in inventory clearance.
Overall, the data indicate a period of inventory management challenges around mid-2018, characterized by slower inventory turnover and longer processing periods. While some recovery and stabilization occurred through 2019 to early 2022, a resurgence of slower inventory movement is evident in the latter part of 2022. This trend could signal issues related to demand variability, supply chain inefficiencies, or inventory overstocking toward the end of the period under review, necessitating management attention to optimize inventory levels and turnover.
- Inventory Turnover Ratio
- Declined sharply mid-2018, moderately recovered by end 2018, stabilized around 3.0 through 2020-2021, then gradually declined through 2022.
- Average Inventory Processing Period
- Peaked at 231 days mid-2018, decreased by end 2018, remained relatively stable between 110-125 days from 2019 to early 2022, then increased significantly by end 2022.
- Key Insights
- Inventory management showed significant inefficiency during mid-2018, some recovery afterward, but recent trends suggest increasing inventory holding times and slower turnover, potentially impacting working capital and requiring corrective measures.
Average Receivable Collection Period
Microchip Technology Inc., average receivable collection period calculation (quarterly data)
| Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||||||||
| Receivables turnover | 6.85 | 6.74 | 6.30 | 6.36 | 6.93 | 6.13 | 5.69 | 5.45 | 5.93 | 5.79 | 5.88 | 5.65 | 6.54 | 6.32 | 5.83 | 6.07 | 9.22 | 6.94 | 5.35 | 7.06 | 7.02 | 6.82 | 6.77 | 7.12 | — | — | — | ||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||||
| Average receivable collection period1 | 53 | 54 | 58 | 57 | 53 | 60 | 64 | 67 | 62 | 63 | 62 | 65 | 56 | 58 | 63 | 60 | 40 | 53 | 68 | 52 | 52 | 53 | 54 | 51 | — | — | — | ||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 83 | 72 | 64 | 64 | 69 | 69 | 71 | 60 | 55 | 55 | 70 | 77 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Analog Devices Inc. | 46 | 46 | 47 | 55 | 57 | 60 | 71 | 73 | 46 | 48 | 52 | 48 | 45 | 39 | 37 | 39 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Applied Materials Inc. | 72 | 76 | 75 | 86 | 72 | 72 | 67 | 78 | 65 | 62 | 61 | 63 | 63 | 62 | 65 | 63 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Broadcom Inc. | 30 | 32 | 34 | 33 | 31 | 38 | 33 | 28 | 31 | 35 | 37 | 35 | 42 | 51 | 59 | 53 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intel Corp. | 20 | 20 | 25 | 24 | 39 | 30 | 33 | 44 | 39 | 35 | 34 | 32 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| KLA Corp. | 67 | 79 | 69 | 72 | 68 | 77 | 72 | 69 | 68 | 73 | 63 | 70 | 73 | 82 | 80 | 79 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lam Research Corp. | 63 | 78 | 93 | 91 | 81 | 75 | 79 | 76 | 77 | 89 | 77 | 76 | 83 | 78 | 63 | 55 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Micron Technology Inc. | 49 | 36 | 45 | 61 | 70 | 63 | 65 | 70 | 61 | 52 | 61 | 67 | 65 | 57 | 60 | 50 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| NVIDIA Corp. | 63 | 65 | 67 | 63 | 59 | 60 | 57 | 53 | 63 | 58 | 59 | 55 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Texas Instruments Inc. | 40 | 38 | 35 | 35 | 37 | 41 | 35 | 34 | 34 | 35 | 37 | 36 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-K (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-K (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-K (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-K (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-K (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-K (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-Q (reporting date: 2016-06-30).
1 Q3 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 6.85 = 53
2 Click competitor name to see calculations.
The analysis of the receivables turnover ratio over the given quarterly periods reveals a fluctuating trend with periodic variations, indicating changes in the efficiency of the company's credit and collections processes. Starting from a ratio of 7.12 in the earlier quarters, the turnover experiences a decline around mid-periods, particularly dropping to a low of 5.35 at one point. However, it later recovers and peaks at 9.22 before settling into a range between approximately 5.45 and 6.93 in the more recent quarters.
Correspondingly, the average receivable collection period, expressed in number of days, exhibits an inverse relationship with the turnover ratio, as expected. Initially, the period is about 51 days and remains relatively stable at around 52 to 54 days, but there is a notable increase to 68 days coinciding with a dip in turnover. A significant drop to 40 days is observed thereafter, aligned with a peak in turnover ratio. The period then fluctuates mostly between 53 and 67 days through the remaining quarters.
- Receivables Turnover
- Initially high with a turnover ratio around 7, the ratio decreases mid-period, indicating slower turnover, but recovers and stabilizes in the 6 to 7 range in recent quarters.
- Average Receivable Collection Period
- The collection period generally fluctuates inversely to the turnover ratio, with days increasing when turnover decreases and vice versa, ranging roughly from 40 to 68 days over the timeline.
- Operational Efficiency Insights
- The variability suggests cyclical or seasonal effects impacting collections, with occasional periods of reduced efficiency leading to longer collection times. Recent stabilization around a turnover of approximately 6.7 and collection periods close to 54 days may indicate improved consistency in credit management.
- Potential Concerns
- The sharp increases in collection days accompanied by turnover declines in certain quarters highlight transient challenges in cash flow management that should be monitored to avoid liquidity issues.
Operating Cycle
Microchip Technology Inc., operating cycle calculation (quarterly data)
No. days
| Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||||||||
| Average inventory processing period | 160 | 147 | 135 | 132 | 123 | 119 | 118 | 118 | 120 | 119 | 118 | 123 | 128 | 126 | 114 | 107 | 112 | 146 | 231 | 111 | 115 | 109 | 98 | 92 | — | — | — | ||||||||
| Average receivable collection period | 53 | 54 | 58 | 57 | 53 | 60 | 64 | 67 | 62 | 63 | 62 | 65 | 56 | 58 | 63 | 60 | 40 | 53 | 68 | 52 | 52 | 53 | 54 | 51 | — | — | — | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
| Operating cycle1 | 213 | 201 | 193 | 189 | 176 | 179 | 182 | 185 | 182 | 182 | 180 | 188 | 184 | 184 | 177 | 167 | 152 | 199 | 299 | 163 | 167 | 162 | 152 | 143 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 216 | 207 | 184 | 170 | 170 | 155 | 162 | 144 | 143 | 144 | 166 | 171 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Analog Devices Inc. | 186 | 182 | 176 | 169 | 153 | 157 | 171 | 230 | 161 | 164 | 167 | 164 | 162 | 152 | 148 | 152 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Applied Materials Inc. | 221 | 228 | 232 | 243 | 223 | 212 | 198 | 207 | 195 | 200 | 204 | 213 | 222 | 219 | 215 | 217 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Broadcom Inc. | 90 | 93 | 95 | 96 | 93 | 95 | 86 | 73 | 71 | 70 | 70 | 70 | 80 | 85 | 93 | 85 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intel Corp. | 148 | 151 | 161 | 157 | 165 | 151 | 156 | 156 | 143 | 128 | 122 | 122 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| KLA Corp. | 304 | 304 | 299 | 290 | 282 | 285 | 283 | 276 | 270 | 280 | 269 | 265 | 264 | 279 | 299 | 326 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lam Research Corp. | 234 | 247 | 256 | 246 | 221 | 201 | 203 | 202 | 208 | 224 | 209 | 204 | 200 | 185 | 167 | 161 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Micron Technology Inc. | 231 | 213 | 237 | 205 | 189 | 179 | 166 | 165 | 159 | 158 | 194 | 205 | 202 | 196 | 197 | 197 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| NVIDIA Corp. | 198 | 186 | 179 | 164 | 153 | 157 | 157 | 159 | 162 | 163 | 155 | 141 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Texas Instruments Inc. | 262 | 253 | 225 | 196 | 180 | 174 | 162 | 151 | 149 | 152 | 164 | 173 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-K (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-K (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-K (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-K (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-K (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-K (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-Q (reporting date: 2016-06-30).
1 Q3 2023 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 160 + 53 = 213
2 Click competitor name to see calculations.
- Average Inventory Processing Period
- The average inventory processing period experienced a general upward trend from mid-2016 to late 2018, increasing from the low 90s to a pronounced peak of 231 days in September 2018. After this peak, there was a notable decline that brought the period closer to early levels, fluctuating between 107 and 132 days from late 2018 through mid-2022. Starting in late 2022, the period lengthened again, reaching 160 days by December 31, 2022. This pattern suggests periods of inventory accumulation followed by improved turnover, before a resumption of lengthening processing times in the most recent quarters.
- Average Receivable Collection Period
- The average receivable collection period displayed relatively stable behavior throughout the analyzed timeframe, with values oscillating primarily between 50 and 67 days. Small fluctuations were evident, with a slight increase around mid-2018 reaching 68 days, followed by a decrease to 40 days by March 2019, then rising gradually again to around 65 days in later periods. In the most recent quarters ending in 2022, the collection period stabilized at approximately mid-50-day levels, indicating consistent receivables management with minor seasonal or operational variations.
- Operating Cycle
- The operating cycle mirrored the trends observed in inventory processing, showing a significant increase from mid-2016 into late 2018, peaking at 299 days in September 2018. Thereafter, it declined substantially to approximately 150-180 days range before slightly increasing again in the latter part of the sample period, reaching over 210 days by December 2022. This indicates that the overall time from inventory acquisition through receivable collection expanded sharply in 2018, subsequently improved, but has been lengthening again recently, possibly reflecting changes in working capital management or business conditions affecting both inventories and receivables.
Average Payables Payment Period
Microchip Technology Inc., average payables payment period calculation (quarterly data)
| Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||||||||
| Payables turnover | 7.47 | 6.73 | 8.08 | 6.88 | 7.59 | 7.24 | 7.42 | 7.04 | 7.82 | 9.35 | 9.65 | 8.23 | 9.69 | 9.01 | 9.59 | 10.68 | 9.73 | 7.70 | 5.48 | 10.83 | 9.48 | 8.35 | 9.24 | 11.06 | — | — | — | ||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||||
| Average payables payment period1 | 49 | 54 | 45 | 53 | 48 | 50 | 49 | 52 | 47 | 39 | 38 | 44 | 38 | 41 | 38 | 34 | 38 | 47 | 67 | 34 | 38 | 44 | 40 | 33 | — | — | — | ||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | |||||||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 77 | 92 | 81 | 83 | 82 | 61 | 63 | 60 | 50 | 44 | 57 | 37 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Analog Devices Inc. | 48 | 47 | 45 | 47 | 43 | 41 | 45 | 58 | 47 | 50 | 42 | 43 | 41 | 37 | 40 | 42 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Broadcom Inc. | 32 | 27 | 30 | 33 | 24 | 37 | 37 | 37 | 33 | 29 | 31 | 29 | 39 | 44 | 36 | 31 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intel Corp. | 97 | 96 | 85 | 97 | 70 | 79 | 74 | 60 | 72 | 63 | 56 | 59 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| KLA Corp. | 35 | 47 | 46 | 45 | 46 | 43 | 47 | 45 | 41 | 38 | 38 | 39 | 37 | 40 | 39 | 40 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lam Research Corp. | 21 | 32 | 43 | 39 | 41 | 39 | 36 | 39 | 39 | 41 | 41 | 40 | 35 | 32 | 29 | 26 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| NVIDIA Corp. | 45 | 75 | 71 | 69 | 70 | 68 | 61 | 70 | 72 | 67 | 65 | 60 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Qualcomm Inc. | 38 | 29 | 51 | 74 | 77 | 83 | 85 | 70 | 76 | 79 | 83 | 89 | 87 | 87 | 74 | 58 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Texas Instruments Inc. | 40 | 53 | 55 | 50 | 46 | 43 | 39 | 40 | 37 | 37 | 38 | 29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-K (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-K (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-K (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-K (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-K (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-K (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-Q (reporting date: 2016-06-30).
1 Q3 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 7.47 = 49
2 Click competitor name to see calculations.
- Payables Turnover Ratio
- The payables turnover ratio demonstrates notable fluctuations over the observed periods. Initially absent, data starting from March 31, 2017, indicates a ratio of 11.06, followed by a declining trend reaching a low of 5.48 by September 30, 2018. Subsequently, the ratio recovers, peaking at 10.68 on March 31, 2019, before showing a gradual downward movement with some variability, settling around the mid to high sevens range in the most recent periods ending December 31, 2022. This trend reflects varying efficiency in the company's payment practices, with periods of both faster and slower turnover of payables.
- Average Payables Payment Period (Days)
- The average payables payment period exhibits an inverse pattern relative to the payables turnover ratio, as expected. Beginning at 33 days on March 31, 2017, the period generally increases, reaching a peak of 67 days by September 30, 2018. After this peak, the payment period decreases toward the mid-thirties by March 31, 2019, and then fluctuates between 38 and 54 days through December 31, 2022. This variation indicates changes in the timing of payments to suppliers, with some intervals characterized by more extended payment terms and others by quicker settlements.
- Overall Observations
- There is an evident cyclical pattern where increases in the payables turnover ratio correspond with decreases in the average payables payment period and vice versa. The periods of higher turnover and shorter payment days suggest enhanced payment efficiency, whereas times with lower turnover and longer payment days may imply relaxed payment schedules or operational adjustments. The trends imply that the company periodically adjusts its payables management strategies, possibly in response to cash flow considerations or supplier negotiations.
Cash Conversion Cycle
Microchip Technology Inc., cash conversion cycle calculation (quarterly data)
No. days
| Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | Sep 30, 2017 | Jun 30, 2017 | Mar 31, 2017 | Dec 31, 2016 | Sep 30, 2016 | Jun 30, 2016 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||||||||
| Average inventory processing period | 160 | 147 | 135 | 132 | 123 | 119 | 118 | 118 | 120 | 119 | 118 | 123 | 128 | 126 | 114 | 107 | 112 | 146 | 231 | 111 | 115 | 109 | 98 | 92 | — | — | — | ||||||||
| Average receivable collection period | 53 | 54 | 58 | 57 | 53 | 60 | 64 | 67 | 62 | 63 | 62 | 65 | 56 | 58 | 63 | 60 | 40 | 53 | 68 | 52 | 52 | 53 | 54 | 51 | — | — | — | ||||||||
| Average payables payment period | 49 | 54 | 45 | 53 | 48 | 50 | 49 | 52 | 47 | 39 | 38 | 44 | 38 | 41 | 38 | 34 | 38 | 47 | 67 | 34 | 38 | 44 | 40 | 33 | — | — | — | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
| Cash conversion cycle1 | 164 | 147 | 148 | 136 | 128 | 129 | 133 | 133 | 135 | 143 | 142 | 144 | 146 | 143 | 139 | 133 | 114 | 152 | 232 | 129 | 129 | 118 | 112 | 110 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||||
| Cash Conversion Cycle, Competitors2 | |||||||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 139 | 115 | 103 | 87 | 88 | 94 | 99 | 84 | 93 | 100 | 109 | 134 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Analog Devices Inc. | 138 | 135 | 131 | 122 | 110 | 116 | 126 | 172 | 114 | 114 | 125 | 121 | 121 | 115 | 108 | 110 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Broadcom Inc. | 58 | 66 | 65 | 63 | 69 | 58 | 49 | 36 | 38 | 41 | 39 | 41 | 41 | 41 | 57 | 54 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Intel Corp. | 51 | 55 | 76 | 60 | 95 | 72 | 82 | 96 | 71 | 65 | 66 | 63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| KLA Corp. | 269 | 257 | 253 | 245 | 236 | 242 | 236 | 231 | 229 | 242 | 231 | 226 | 227 | 239 | 260 | 286 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lam Research Corp. | 213 | 215 | 213 | 207 | 180 | 162 | 167 | 163 | 169 | 183 | 168 | 164 | 165 | 153 | 138 | 135 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| NVIDIA Corp. | 153 | 111 | 108 | 95 | 83 | 89 | 96 | 89 | 90 | 96 | 90 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Texas Instruments Inc. | 222 | 200 | 170 | 146 | 134 | 131 | 123 | 111 | 112 | 115 | 126 | 144 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-K (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-K (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-K (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-K (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-K (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31), 10-Q (reporting date: 2017-09-30), 10-Q (reporting date: 2017-06-30), 10-K (reporting date: 2017-03-31), 10-Q (reporting date: 2016-12-31), 10-Q (reporting date: 2016-09-30), 10-Q (reporting date: 2016-06-30).
1 Q3 2023 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 160 + 53 – 49 = 164
2 Click competitor name to see calculations.
- Inventory Processing Period
- The average inventory processing period shows a generally increasing trend over the analyzed quarters. Starting from 92 days in June 2016, the period rises steadily, peaking at 231 days in September 2018. Following this peak, there is a notable decline to 107 days by March 2019, but the duration again ascends gradually towards the end of 2022, reaching 160 days in December 2022. This pattern suggests fluctuations in inventory turnover efficiency, with periods of slower processing notably around late 2018 and increases towards late 2022.
- Receivable Collection Period
- The average receivable collection period remains relatively stable but with some variability. Initially around 51 days in June 2016, it fluctuates slightly within the 50 to 68-day range. A significant spike is observed in September 2018 when it reached 68 days, followed by a decline to 40 days in March 2019. Subsequently, the collection period exhibits moderate oscillations mostly between 53 and 67 days, showing no consistent long-term increase or decrease, implying stable but somewhat variable credit collection efficiency.
- Payables Payment Period
- There is an increasing trend in the average payables payment period from about 33 days in June 2016 to higher values thereafter, peaking at 67 days in September 2018. After this peak, the payment period settles to a range generally between 34 and 54 days through to the end of 2022. This indicates that the company may have deferred payments more during the 2017-2018 period before stabilizing payment practices in subsequent years.
- Cash Conversion Cycle
- The cash conversion cycle closely follows the combined movements of the inventory processing, receivables, and payables periods. It starts at 110 days in June 2016, gradually climbs to a high point of 232 days in September 2018, correlating with the peak in inventory processing and payables periods. After this peak, the cycle time decreases significantly to around 114 days by March 2019, then displays moderate variability, ending at 164 days by December 2022. The extended cash conversion cycle during the 2017-2018 period indicates a slower recovery of cash invested in operations, potentially impacting liquidity. The partial improvement thereafter suggests some gains in operational efficiency, though the cycle remains longer than initial values.