Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
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Short-term Activity Ratios (Summary)
Based on: 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03), 10-K (reporting date: 2020-09-03), 10-Q (reporting date: 2020-05-28), 10-Q (reporting date: 2020-02-27), 10-Q (reporting date: 2019-11-28), 10-K (reporting date: 2019-08-29), 10-Q (reporting date: 2019-05-30), 10-Q (reporting date: 2019-02-28), 10-Q (reporting date: 2018-11-29).
- Inventory Turnover
- The inventory turnover ratio showed a gradual increase from 2.48 to a peak of 3.85 between November 2019 and June 2021. After this peak, a steady decline followed, reaching a low of 1.91 in September 2022. Post this trough, the ratio displayed a moderate recovery, stabilizing around the low 2.0s through early 2025.
- Receivables Turnover
- Receivables turnover decreased from 7.33 to values between 5 and 6 in the period between late 2019 and early 2022, indicating slower collection during this timeframe. A sharp improvement was observed reaching 10.12 in March 2023, after which a notable decline took place, falling steadily below 4.0 by mid-2024 before a mild rebound occurred near 4.5 later in the period.
- Working Capital Turnover
- This ratio showed a mostly decreasing trend from 2.31 in late 2019 to a trough of 0.94 in August 2023, signaling reduced efficiency in generating sales from working capital. From this low, there was a meaningful recovery to around 1.9 by mid-2025, reflecting some operational improvement.
- Average Inventory Processing Period
- The average number of days to process inventory declined notably from 147 days in late 2019 to 95 days by September 2021, indicating more efficient inventory management. However, after this date, the period increased significantly, peaking at 192 days in September 2022, suggesting slower inventory turnover. Subsequently, it gradually decreased again to approximately 150 days by mid-2025.
- Average Receivable Collection Period
- This metric initially increased from 50 days in November 2019 to a high of 70 days around September 2021, implying longer collection times. Afterward, there was an improvement with a sharp drop to 36 days by March 2023, followed by a reversal toward longer periods, reaching nearly 96 days by late 2024. Slight improvement was seen thereafter, remaining around 80 days by mid-2025.
- Operating Cycle
- The operating cycle lengthened from 197 days in late 2019 to a peak of 254 days by late 2024. This extension corresponds to the increases observed in both inventory processing and receivable collection periods. A minor decrease was noted toward mid-2025, but the overall trend indicates a longer operating cycle over the analyzed period, reflecting slower asset turnover and potential liquidity challenges.
Turnover Ratios
Average No. Days
Inventory Turnover
May 29, 2025 | Feb 27, 2025 | Nov 28, 2024 | Aug 29, 2024 | May 30, 2024 | Feb 29, 2024 | Nov 30, 2023 | Aug 31, 2023 | Jun 1, 2023 | Mar 2, 2023 | Dec 1, 2022 | Sep 1, 2022 | Jun 2, 2022 | Mar 3, 2022 | Dec 2, 2021 | Sep 2, 2021 | Jun 3, 2021 | Mar 4, 2021 | Dec 3, 2020 | Sep 3, 2020 | May 28, 2020 | Feb 27, 2020 | Nov 28, 2019 | Aug 29, 2019 | May 30, 2019 | Feb 28, 2019 | Nov 29, 2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||||||||
Cost of goods sold | |||||||||||||||||||||||||||||||||||
Inventories | |||||||||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
Inventory turnover1 | |||||||||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||||||||
Inventory Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||||||||
Analog Devices Inc. | |||||||||||||||||||||||||||||||||||
Applied Materials Inc. | |||||||||||||||||||||||||||||||||||
Broadcom Inc. | |||||||||||||||||||||||||||||||||||
Intel Corp. | |||||||||||||||||||||||||||||||||||
KLA Corp. | |||||||||||||||||||||||||||||||||||
Lam Research Corp. | |||||||||||||||||||||||||||||||||||
NVIDIA Corp. | |||||||||||||||||||||||||||||||||||
Qualcomm Inc. | |||||||||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03), 10-K (reporting date: 2020-09-03), 10-Q (reporting date: 2020-05-28), 10-Q (reporting date: 2020-02-27), 10-Q (reporting date: 2019-11-28), 10-K (reporting date: 2019-08-29), 10-Q (reporting date: 2019-05-30), 10-Q (reporting date: 2019-02-28), 10-Q (reporting date: 2018-11-29).
1 Q3 2025 Calculation
Inventory turnover
= (Cost of goods soldQ3 2025
+ Cost of goods soldQ2 2025
+ Cost of goods soldQ1 2025
+ Cost of goods soldQ4 2024)
÷ Inventories
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals several notable trends in cost of goods sold, inventories, and inventory turnover ratios over the periods presented.
- Cost of Goods Sold (COGS)
- COGS demonstrates a generally increasing trend with some fluctuations across the periods. Starting from 3,298 million USD in late 2018, there is a progressive increase reaching a peak around mid-2024 at 5,793 million USD. Some quarters, such as late 2019 and early 2020, show moderate decreases or stabilization, but the overall trajectory is upward. This suggests rising production or sales volume levels, or potentially increasing cost pressures over time.
- Inventories
- Inventories show a consistent upward trend throughout the period analyzed. Beginning at 3,876 million USD in late 2018, inventory levels increased steadily with minor fluctuations, peaking at 9,007 million USD around mid-2024. There is a marked increase from 2021 onward, which may indicate stockpiling, increased production capacity, or slower inventory turnover periods. The large inventory buildup corresponds with the rise in COGS but at a faster pace, pointing to potential challenges in inventory management or sales absorption.
- Inventory Turnover Ratio
- Inventory turnover ratios, available from mid-2019, initially range between approximately 2.48 and 2.74, indicating moderate inventory efficiency. There is a noticeable improvement in turnover through 2020 and early 2021, peaking near 3.85, which suggests more efficient inventory management or increased sales velocity relative to inventory held. However, starting from mid-2021, the ratio declines significantly, reaching lows around 1.91 in early 2023, followed by slight recovery but remaining below earlier highs through 2025. This decline in turnover efficiency may reflect excess inventory levels or slower sales growth relative to inventory accumulation.
In summary, the data reveals increasing cost structures alongside substantial inventory accumulation, with a peak and subsequent decline in inventory turnover ratio indicating fluctuating operational efficiency. The overall pattern highlights challenges in balancing inventory levels with cost and sales dynamics, suggesting potential areas for inventory and cost control improvements going forward.
Receivables Turnover
May 29, 2025 | Feb 27, 2025 | Nov 28, 2024 | Aug 29, 2024 | May 30, 2024 | Feb 29, 2024 | Nov 30, 2023 | Aug 31, 2023 | Jun 1, 2023 | Mar 2, 2023 | Dec 1, 2022 | Sep 1, 2022 | Jun 2, 2022 | Mar 3, 2022 | Dec 2, 2021 | Sep 2, 2021 | Jun 3, 2021 | Mar 4, 2021 | Dec 3, 2020 | Sep 3, 2020 | May 28, 2020 | Feb 27, 2020 | Nov 28, 2019 | Aug 29, 2019 | May 30, 2019 | Feb 28, 2019 | Nov 29, 2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||||||||
Revenue | |||||||||||||||||||||||||||||||||||
Receivables | |||||||||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
Receivables turnover1 | |||||||||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||||||||
Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||||||||
Analog Devices Inc. | |||||||||||||||||||||||||||||||||||
Applied Materials Inc. | |||||||||||||||||||||||||||||||||||
Broadcom Inc. | |||||||||||||||||||||||||||||||||||
Intel Corp. | |||||||||||||||||||||||||||||||||||
KLA Corp. | |||||||||||||||||||||||||||||||||||
Lam Research Corp. | |||||||||||||||||||||||||||||||||||
NVIDIA Corp. | |||||||||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03), 10-K (reporting date: 2020-09-03), 10-Q (reporting date: 2020-05-28), 10-Q (reporting date: 2020-02-27), 10-Q (reporting date: 2019-11-28), 10-K (reporting date: 2019-08-29), 10-Q (reporting date: 2019-05-30), 10-Q (reporting date: 2019-02-28), 10-Q (reporting date: 2018-11-29).
1 Q3 2025 Calculation
Receivables turnover
= (RevenueQ3 2025
+ RevenueQ2 2025
+ RevenueQ1 2025
+ RevenueQ4 2024)
÷ Receivables
= ( + + + )
÷ =
2 Click competitor name to see calculations.
- Revenue
- The revenue displays notable fluctuations over the examined period. Initially, revenue decreased from approximately 7,913 million US dollars in late 2018 to a low point around 4,085 million by late 2022. Following this trough, a gradual recovery trend is observable, with revenue rising again, reaching approximately 9,301 million in mid-2025. This pattern suggests cycles affected by external or internal factors influencing sales and operational conditions. Mid-2021 represents a pivot point from which revenue begins a sustained upward trajectory, though several intermediate downswings occur, especially visible in late 2022.
- Receivables
- Receivables values similarly show variability but with a less consistent trend relative to revenue. Initially, receivables declined from 5,418 million in late 2018 to a minimum of 2,278 million in mid-2023. Subsequently, the data reveals a strong upward rebound, with receivables reaching about 7,436 million by mid-2025. The initial decline in receivables may indicate tighter credit policies or improved collections, while the later increase could reflect expanding sales volumes or relaxed credit terms in tandem with revenue recovery.
- Receivables Turnover
- The receivables turnover ratio exhibits variability, starting at an approximate level of 7.33 and experiencing generally downward trends with fluctuations throughout the periods. The ratio peaks at 10.12 in mid-2023, corresponding with the lowest point in receivables balances, indicating highly efficient collection during this time. However, afterward, the ratio declines steadily to the mid-4 range by mid-2025, which correlates with the substantial increase in receivables balances. This suggests a gradual reduction in collection efficiency or lengthening of receivables days, possibly due to expansion in credit sales or changes in customer payment behaviors.
- Overall Analysis
- The interplay between revenue, receivables, and receivables turnover points to several operational dynamics. Revenue and receivables have both experienced cycles of decline and recovery, with receivables turnover inversely reflecting these changes. Periods of declining revenue generally coincide with improved receivables turnover, implying stricter collection or reduced credit sales, while recovery in revenue aligns with rising receivables and reduced turnover ratio, suggesting increasing sales and extended credit terms. The trends imply that financial management adapted to changing market or internal conditions by modulating credit policies and collection efforts, impacting the cash conversion cycle and working capital needs. The recent trend towards higher receivables and lower turnover ratios merits ongoing monitoring to manage credit risk and optimize liquidity.
Working Capital Turnover
May 29, 2025 | Feb 27, 2025 | Nov 28, 2024 | Aug 29, 2024 | May 30, 2024 | Feb 29, 2024 | Nov 30, 2023 | Aug 31, 2023 | Jun 1, 2023 | Mar 2, 2023 | Dec 1, 2022 | Sep 1, 2022 | Jun 2, 2022 | Mar 3, 2022 | Dec 2, 2021 | Sep 2, 2021 | Jun 3, 2021 | Mar 4, 2021 | Dec 3, 2020 | Sep 3, 2020 | May 28, 2020 | Feb 27, 2020 | Nov 28, 2019 | Aug 29, 2019 | May 30, 2019 | Feb 28, 2019 | Nov 29, 2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||||||||
Current assets | |||||||||||||||||||||||||||||||||||
Less: Current liabilities | |||||||||||||||||||||||||||||||||||
Working capital | |||||||||||||||||||||||||||||||||||
Revenue | |||||||||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
Working capital turnover1 | |||||||||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||||||||
Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||||||||
Analog Devices Inc. | |||||||||||||||||||||||||||||||||||
Applied Materials Inc. | |||||||||||||||||||||||||||||||||||
Broadcom Inc. | |||||||||||||||||||||||||||||||||||
Intel Corp. | |||||||||||||||||||||||||||||||||||
KLA Corp. | |||||||||||||||||||||||||||||||||||
Lam Research Corp. | |||||||||||||||||||||||||||||||||||
NVIDIA Corp. | |||||||||||||||||||||||||||||||||||
Qualcomm Inc. | |||||||||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03), 10-K (reporting date: 2020-09-03), 10-Q (reporting date: 2020-05-28), 10-Q (reporting date: 2020-02-27), 10-Q (reporting date: 2019-11-28), 10-K (reporting date: 2019-08-29), 10-Q (reporting date: 2019-05-30), 10-Q (reporting date: 2019-02-28), 10-Q (reporting date: 2018-11-29).
1 Q3 2025 Calculation
Working capital turnover
= (RevenueQ3 2025
+ RevenueQ2 2025
+ RevenueQ1 2025
+ RevenueQ4 2024)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data reveals several key trends and shifts in working capital, revenue, and working capital turnover over the periods analyzed.
- Working Capital
- The working capital exhibited a general upward trend from November 2018 through May 2025, beginning at $9,850 million and increasing to $17,784 million by May 2025. There are some fluctuations along the timeline, notably a dip around September 2022 to December 2022, followed by a recovery and new highs reached toward the end of the dataset. This increase suggests a strengthening liquidity position over the period analyzed.
- Revenue
- Revenue demonstrated considerable volatility throughout the periods. Initially, revenue declined from $7,913 million in November 2018 to a low near $3,693 million by September 2022. Following this decline, there was a notable rebound, with revenue increasing substantially to a peak of $9,301 million by August 2024 before a minor pullback to $8,053 million in the final reported period. The revenue pattern suggests cycles of contraction and expansion possibly linked to market dynamics or product demand.
- Working Capital Turnover
- The working capital turnover ratio, available only from May 2019 onwards, shows a declining trend from 2.31 to a trough of 0.94 around September 2022, coinciding with the lower revenue figures and increased working capital levels. This ratio recovered thereafter, climbing to 1.90 by May 2025. A lower turnover ratio during the period of declining revenue and increasing working capital indicates less efficient use of working capital to generate sales during that time, with some improvement in efficiency toward the end of the timeline.
Overall, the data shows a company that experienced a challenging environment around 2021 and 2022, reflected in decreasing revenue and a deterioration in working capital turnover. However, improvements in later periods suggest a recovery phase with increases in both revenue and efficiency in working capital utilization.
Average Inventory Processing Period
May 29, 2025 | Feb 27, 2025 | Nov 28, 2024 | Aug 29, 2024 | May 30, 2024 | Feb 29, 2024 | Nov 30, 2023 | Aug 31, 2023 | Jun 1, 2023 | Mar 2, 2023 | Dec 1, 2022 | Sep 1, 2022 | Jun 2, 2022 | Mar 3, 2022 | Dec 2, 2021 | Sep 2, 2021 | Jun 3, 2021 | Mar 4, 2021 | Dec 3, 2020 | Sep 3, 2020 | May 28, 2020 | Feb 27, 2020 | Nov 28, 2019 | Aug 29, 2019 | May 30, 2019 | Feb 28, 2019 | Nov 29, 2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||||||||
Inventory turnover | |||||||||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||||
Average inventory processing period1 | |||||||||||||||||||||||||||||||||||
Benchmarks (no. days) | |||||||||||||||||||||||||||||||||||
Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||||||||
Analog Devices Inc. | |||||||||||||||||||||||||||||||||||
Applied Materials Inc. | |||||||||||||||||||||||||||||||||||
Broadcom Inc. | |||||||||||||||||||||||||||||||||||
Intel Corp. | |||||||||||||||||||||||||||||||||||
KLA Corp. | |||||||||||||||||||||||||||||||||||
Lam Research Corp. | |||||||||||||||||||||||||||||||||||
NVIDIA Corp. | |||||||||||||||||||||||||||||||||||
Qualcomm Inc. | |||||||||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03), 10-K (reporting date: 2020-09-03), 10-Q (reporting date: 2020-05-28), 10-Q (reporting date: 2020-02-27), 10-Q (reporting date: 2019-11-28), 10-K (reporting date: 2019-08-29), 10-Q (reporting date: 2019-05-30), 10-Q (reporting date: 2019-02-28), 10-Q (reporting date: 2018-11-29).
1 Q3 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Inventory Turnover
- The inventory turnover ratio shows a clear upward trend from early 2019 through mid-2021, increasing from approximately 2.48 to a peak around 3.85. This suggests improved efficiency in managing and selling inventory during that period. After reaching the peak, the ratio begins to decline steadily from late 2021, dropping as low as approximately 1.91 by early 2023. Following this trough, the turnover ratio rises moderately but remains below previous highs, fluctuating in the 2.0 to 2.4 range through mid-2025. The overall pattern indicates a phase of strengthened inventory management efficiency followed by a period of reduced turnover rates, with some recovery towards the end of the observed period.
- Average Inventory Processing Period
- The average inventory processing period, measured in days, moves inversely to the inventory turnover ratio. It starts relatively high at 147 days in late 2019, then decreases consistently to reach its shortest duration of 95 days around mid-2021. This decline corresponds to the increase in inventory turnover, reflecting faster inventory movement. However, from mid-2021 onward, the processing period lengthens significantly, peaking near 192 days in early 2023. This increase indicates a slowdown in inventory processing, coinciding with the decline in turnover ratio. After this peak, the period shortens somewhat but remains elevated around 150 to 166 days through mid-2025, suggesting a partial but incomplete return to more efficient inventory management.
- Summary of Trends and Insights
- The data reflects a cycle in inventory efficiency over the analyzed timeframe. The initial improvement in inventory turnover and reduction in processing days points to enhanced operational effectiveness and possibly stronger demand or better supply chain management during 2019 to mid-2021. The subsequent reversal starting around mid-2021, characterized by decreased turnover and prolonged processing periods, implies challenges such as excess inventory, slower sales, or disruptions affecting inventory flows. The partial recovery in recent quarters suggests some stabilization, yet inventory management had not returned to the optimal levels observed earlier in the period. These trends warrant further investigation into the causes behind the declining efficiency post-2021 and assessment of strategies to sustain improvements.
Average Receivable Collection Period
May 29, 2025 | Feb 27, 2025 | Nov 28, 2024 | Aug 29, 2024 | May 30, 2024 | Feb 29, 2024 | Nov 30, 2023 | Aug 31, 2023 | Jun 1, 2023 | Mar 2, 2023 | Dec 1, 2022 | Sep 1, 2022 | Jun 2, 2022 | Mar 3, 2022 | Dec 2, 2021 | Sep 2, 2021 | Jun 3, 2021 | Mar 4, 2021 | Dec 3, 2020 | Sep 3, 2020 | May 28, 2020 | Feb 27, 2020 | Nov 28, 2019 | Aug 29, 2019 | May 30, 2019 | Feb 28, 2019 | Nov 29, 2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||||||||
Receivables turnover | |||||||||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||||
Average receivable collection period1 | |||||||||||||||||||||||||||||||||||
Benchmarks (no. days) | |||||||||||||||||||||||||||||||||||
Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||||||||
Analog Devices Inc. | |||||||||||||||||||||||||||||||||||
Applied Materials Inc. | |||||||||||||||||||||||||||||||||||
Broadcom Inc. | |||||||||||||||||||||||||||||||||||
Intel Corp. | |||||||||||||||||||||||||||||||||||
KLA Corp. | |||||||||||||||||||||||||||||||||||
Lam Research Corp. | |||||||||||||||||||||||||||||||||||
NVIDIA Corp. | |||||||||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03), 10-K (reporting date: 2020-09-03), 10-Q (reporting date: 2020-05-28), 10-Q (reporting date: 2020-02-27), 10-Q (reporting date: 2019-11-28), 10-K (reporting date: 2019-08-29), 10-Q (reporting date: 2019-05-30), 10-Q (reporting date: 2019-02-28), 10-Q (reporting date: 2018-11-29).
1 Q3 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Receivables turnover ratio
- The receivables turnover ratio demonstrates a fluctuating but generally declining trend over the analyzed periods. Starting from 7.33 in November 2018, the ratio declines to lower values around 5.2 to 6 between late 2019 and early 2022. There is an observed spike to 8.18 and then a significant peak of 10.12 in mid-2022, indicating a period of more efficient receivables collection during this time. However, after this peak, a downward trend resumes, with the turnover ratio decreasing steadily to around 3.8 by August 2024 before a slight recovery to 4.55 in May 2025. This pattern suggests variability in how quickly receivables are converted to cash, with recent periods indicating slower collections compared to earlier years.
- Average receivable collection period (days)
- The average receivable collection period exhibits an inverse pattern relative to the receivables turnover ratio, as expected. Initially, the days outstanding increase from around 50 days in late 2018 to a peak near 70 days between late 2019 through 2021. A notable improvement is evident around early to mid-2022, where collection days drop sharply from 70 to 36 days, corresponding with the peak in turnover ratio. Following this improvement, the collection period lengthens again, reaching a high of 96 days near mid-2024, indicating slower collections. By May 2025, there is a moderate improvement to 80 days, but this remains elevated compared to earlier years. The variability in collection periods suggests fluctuations in credit policies or customer payment behavior over time.
Operating Cycle
May 29, 2025 | Feb 27, 2025 | Nov 28, 2024 | Aug 29, 2024 | May 30, 2024 | Feb 29, 2024 | Nov 30, 2023 | Aug 31, 2023 | Jun 1, 2023 | Mar 2, 2023 | Dec 1, 2022 | Sep 1, 2022 | Jun 2, 2022 | Mar 3, 2022 | Dec 2, 2021 | Sep 2, 2021 | Jun 3, 2021 | Mar 4, 2021 | Dec 3, 2020 | Sep 3, 2020 | May 28, 2020 | Feb 27, 2020 | Nov 28, 2019 | Aug 29, 2019 | May 30, 2019 | Feb 28, 2019 | Nov 29, 2018 | |||||||||
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Operating cycle1 | |||||||||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||||||||
Operating Cycle, Competitors2 | |||||||||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||||||||
Analog Devices Inc. | |||||||||||||||||||||||||||||||||||
Applied Materials Inc. | |||||||||||||||||||||||||||||||||||
Broadcom Inc. | |||||||||||||||||||||||||||||||||||
Intel Corp. | |||||||||||||||||||||||||||||||||||
KLA Corp. | |||||||||||||||||||||||||||||||||||
Lam Research Corp. | |||||||||||||||||||||||||||||||||||
NVIDIA Corp. | |||||||||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03), 10-K (reporting date: 2020-09-03), 10-Q (reporting date: 2020-05-28), 10-Q (reporting date: 2020-02-27), 10-Q (reporting date: 2019-11-28), 10-K (reporting date: 2019-08-29), 10-Q (reporting date: 2019-05-30), 10-Q (reporting date: 2019-02-28), 10-Q (reporting date: 2018-11-29).
1 Q3 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals notable trends in the company's operational efficiency and working capital management over the examined periods.
- Average Inventory Processing Period
- The average inventory processing period exhibits a fluctuating trend with initial values around 147 days, slightly decreasing to a low of 95 days by September 2021. Subsequently, there is an observable upward movement reaching a peak near 192 days around March 2023. Towards the latest data points, the period moderately declines again to approximately 150 days by May 2025. This pattern suggests variable inventory turnover rates with phases of improving efficiency interspersed with periods of slower inventory processing.
- Average Receivable Collection Period
- This metric shows moderate fluctuations with periods ranging from 50 to 96 days. Early in the series, the collection period increased from about 50 days to 70 days, indicating a slowdown in the receivables turnover. Following this, there is a significant drop to a low near 36 days by June 2023, reflecting enhanced collections efficiency. However, the latter periods exhibit an uptrend again, rising above 90 days before slightly decreasing to around 80 days by the last data point. Overall, this indicates variability in the company's ability to manage its receivables and cash inflow timing.
- Operating Cycle
- The operating cycle, combining inventory and receivables periods, fluctuates between roughly 158 and 262 days. Initially stable around the 197-day mark, it drops to a minimum near 158 days by mid-2021, coinciding with improved inventory and receivables management. Thereafter, the operating cycle lengthens substantially, peaking in the range of 254 to 262 days between early 2024 and mid-2025. This extended cycle suggests increased capital tied up in operational processes during this timeframe, potentially impacting liquidity or operational flexibility.
In summary, the data indicates periods of both improvement and deterioration in inventory and receivable management, impacting the overall operating cycle. The long-term trend reflects volatility, with recent periods showing extended operating cycles mainly driven by increases in both inventory holding and receivables collection durations. Continuous monitoring and management focus on these areas would be essential to optimize working capital efficiency.