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)
Based on: 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).
The analysis of the financial ratios over multiple quarters reveals distinct trends in operational efficiency and working capital management.
- Inventory Turnover
- The inventory turnover ratio shows variability across the periods. It was generally high, peaking near 49.75 around mid-2020, indicating rapid inventory movement. However, starting from late 2021, there is a noticeable decline to values around 28.87 to 36.77 by late 2024 and early 2025, suggesting a slower rate of inventory turnover.
- Receivables Turnover
- This ratio experienced fluctuations with some marked increases, such as the peak of 21.47 in early 2023, indicating efficient collection from customers during certain quarters. Nonetheless, the ratio tends to move within a moderate range, with several quarters showing values below 15, which may reflect variability in credit collection periods.
- Payables Turnover
- The payables turnover ratio displays a pattern of cyclical variation, with peaks around 5.10 and troughs near 2.82. Higher payables turnover indicates faster payment to suppliers, while lower values suggest extended payment terms. The observed oscillation implies changes in supplier payment practices or cash management strategies.
- Working Capital Turnover
- Working capital turnover shows dramatic spikes in some quarters, reaching as high as 83.07 in early 2024 and an extreme 52.06 in late 2021, indicating very intense use of working capital during these periods. Some data gaps are present, but overall this suggests effective utilization of working capital assets during specific intervals, although the volatility might point to underlying operational shifts or seasonal impacts.
- Average Inventory Processing Period
- The average days inventory is held fluctuates moderately between 7 and 13 days. Periods of increased processing time, such as up to 13 days by mid-2025, correspond with lower inventory turnover, reinforcing the inference of slowing inventory movement at those times.
- Average Receivable Collection Period
- The collection period broadly ranges from about 17 to 34 days. Shorter durations occur in mid-2020 and early 2021, reflecting improved efficiency in collecting receivables. In contrast, longer periods nearing the low 30s signify slower customer payments in some quarters.
- Operating Cycle
- The operating cycle fluctuates roughly between 27 and 44 days, tracking changes in inventory and receivables periods. Quarters with shorter operating cycles coincide with better inventory turnover and quicker receivables collection, contributing to overall operational efficiency.
- Average Payables Payment Period
- The average days payable demonstrate considerable variability, fluctuating between 71 and 129 days. Longer payable periods imply a more elongated timeframe in paying suppliers, which can be a deliberate strategy for cash preservation but may also impact supplier relations. Notably, several quarters in 2020 and 2021 show extended payables periods.
- Cash Conversion Cycle
- The cash conversion cycle consistently remains negative throughout the periods analyzed, with values mostly between -43 and -87 days. A negative cash conversion cycle indicates that the company converts resources to cash faster than it needs to pay its suppliers, reflecting strong liquidity management and favorable working capital conditions. Despite some mild fluctuations, this negative trend is sustained.
Overall, the financial ratios reveal a company that generally manages its working capital effectively, with a consistently negative cash conversion cycle indicating operational efficiency and sound liquidity. However, the trends in inventory turnover and increasing inventory holding periods in later periods may warrant closer attention to inventory management practices. Fluctuations in receivables and payables turnover ratios suggest variable credit policies or changing market conditions affecting cash flow timing. The pronounced variations in working capital turnover ratios indicate periods of intense asset utilization, which may relate to seasonality or strategic operational changes.
Turnover Ratios
Average No. Days
Inventory Turnover
Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Sep 24, 2022 | Jun 25, 2022 | Mar 26, 2022 | Dec 25, 2021 | Sep 25, 2021 | Jun 26, 2021 | Mar 27, 2021 | Dec 26, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | Dec 28, 2019 | Sep 28, 2019 | Jun 29, 2019 | Mar 30, 2019 | Dec 29, 2018 | |||||||||
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Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||||||||
Cost of sales | 50,318) | 50,492) | 66,025) | 51,051) | 46,099) | 48,482) | 64,720) | 49,071) | 45,384) | 52,860) | 66,822) | 52,051) | 47,074) | 54,719) | 69,702) | 48,186) | 46,179) | 51,505) | 67,111) | 40,009) | 37,005) | 35,943) | 56,602) | 39,727) | 33,582) | 36,194) | 52,279) | ||||||||
Inventories | 5,925) | 6,269) | 6,911) | 7,286) | 6,165) | 6,232) | 6,511) | 6,331) | 7,351) | 7,482) | 6,820) | 4,946) | 5,433) | 5,460) | 5,876) | 6,580) | 5,178) | 5,219) | 4,973) | 4,061) | 3,978) | 3,334) | 4,097) | 4,106) | 3,355) | 4,884) | 4,988) | ||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
Inventory turnover1 | 36.77 | 34.08 | 30.63 | 28.87 | 33.80 | 33.32 | 32.57 | 33.82 | 29.54 | 29.24 | 32.36 | 45.20 | 40.43 | 40.07 | 36.69 | 32.37 | 39.55 | 37.48 | 36.21 | 41.75 | 42.55 | 49.75 | 40.54 | 39.40 | — | — | — | ||||||||
Benchmarks | |||||||||||||||||||||||||||||||||||
Inventory Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
Arista Networks Inc. | — | 1.38 | 1.36 | 1.37 | 1.33 | 1.23 | 1.11 | 1.15 | 1.16 | 1.12 | 1.15 | 1.32 | 1.36 | 1.53 | 1.65 | 1.64 | 1.74 | 1.75 | 1.85 | 1.74 | — | — | — | — | — | — | — | ||||||||
Cisco Systems Inc. | 6.83 | 6.45 | 5.91 | 5.63 | 6.28 | 6.38 | 6.30 | 5.83 | 6.01 | 6.45 | 7.41 | 7.52 | 8.52 | 9.19 | 10.06 | 11.50 | 11.15 | 11.98 | 13.25 | 13.74 | 14.85 | 13.73 | 14.14 | 13.91 | — | — | — | ||||||||
Dell Technologies Inc. | 11.01 | 11.97 | 14.45 | 18.65 | 20.66 | 20.02 | 18.72 | 16.67 | 13.40 | 14.38 | 13.11 | 13.45 | 13.76 | 16.63 | 17.53 | 19.05 | 18.62 | 17.40 | 17.47 | 19.27 | — | — | — | — | — | — | — | ||||||||
Super Micro Computer Inc. | 4.94 | 5.07 | 3.31 | 2.98 | 2.41 | 3.14 | 2.97 | 4.04 | 3.49 | 3.84 | 2.88 | 2.84 | 2.50 | 2.58 | 2.77 | 2.90 | 3.18 | 3.39 | 3.59 | 3.30 | — | — | — | — | — | — | — |
Based on: 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).
1 Q3 2025 Calculation
Inventory turnover
= (Cost of salesQ3 2025
+ Cost of salesQ2 2025
+ Cost of salesQ1 2025
+ Cost of salesQ4 2024)
÷ Inventories
= (50,318 + 50,492 + 66,025 + 51,051)
÷ 5,925 = 36.77
2 Click competitor name to see calculations.
The cost of sales displays notable fluctuations over the presented periods. Initially, it shows a decreasing trend from US$52,279 million in December 2018 to a low near US$33,582 million in June 2019. Subsequently, the cost rises significantly, reaching a peak of US$69,702 million by December 2021. Following this peak, there is a general downturn again towards the end of the timeline, with the cost of sales figures stabilizing around the US$50,000 to US$66,000 million level in recent quarters.
Inventory levels exhibit a somewhat variable pattern across the quarters. Starting at US$4,988 million in December 2018, inventories declined to approximately US$3,334 million by March 2020. Afterwards, inventory values generally increased, peaking at US$7,482 million in April 2023 before a modest decline in the latest quarters, with values settling near US$5,925 million by June 2025.
The inventory turnover ratio, which is an indicator of how efficiently inventory is managed and sold, shows varying ratios calculated starting mid-2019. The ratio peaked around 49.75 in June 2020, emphasizing a high efficiency in inventory management during that quarter. After this peak, a downward trend is observed, reaching a low of approximately 28.87 by December 2024. Towards the end of the dataset, turnover ratios moderate again, with an increase to 36.77 by June 2025, suggesting a recovery in turnover efficiency.
- Cost of Sales Analysis
- Initial decline followed by a sharp increase reaching a peak in late 2021, then a moderation and relative stabilization in recent years.
- Inventory Trends
- Decline up to early 2020, then a steady increase peaking in early 2023, with some reduction observed thereafter.
- Inventory Turnover Ratio
- High efficiency in inventory usage mid-2020, followed by a decline in turnover rate, reaching the lowest in late 2024, and a subsequent moderate recovery by mid-2025.
Overall, the data suggests that while the company experienced significant volatility in its cost of sales and inventory levels, inventory management efficiency as measured by turnover ratio also fluctuated considerably, reflecting changes in operational dynamics or market conditions over the analyzed periods.
Receivables Turnover
Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Sep 24, 2022 | Jun 25, 2022 | Mar 26, 2022 | Dec 25, 2021 | Sep 25, 2021 | Jun 26, 2021 | Mar 27, 2021 | Dec 26, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | Dec 28, 2019 | Sep 28, 2019 | Jun 29, 2019 | Mar 30, 2019 | Dec 29, 2018 | |||||||||
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Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||||||||
Net sales | 94,036) | 95,359) | 124,300) | 94,930) | 85,777) | 90,753) | 119,575) | 89,498) | 81,797) | 94,836) | 117,154) | 90,146) | 82,959) | 97,278) | 123,945) | 83,360) | 81,434) | 89,584) | 111,439) | 64,698) | 59,685) | 58,313) | 91,819) | 64,040) | 53,809) | 58,015) | 84,310) | ||||||||
Accounts receivable, net | 27,557) | 26,136) | 29,639) | 33,410) | 22,795) | 21,837) | 23,194) | 29,508) | 19,549) | 17,936) | 23,752) | 28,184) | 21,803) | 20,815) | 30,213) | 26,278) | 17,475) | 18,503) | 27,101) | 16,120) | 17,882) | 15,722) | 20,970) | 22,926) | 14,148) | 15,085) | 18,077) | ||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
Receivables turnover1 | 14.83 | 15.32 | 13.35 | 11.70 | 16.92 | 17.48 | 16.63 | 12.99 | 19.64 | 21.47 | 16.32 | 13.99 | 17.77 | 18.55 | 12.52 | 13.92 | 19.87 | 17.59 | 10.85 | 17.03 | 15.31 | 17.04 | 12.77 | 11.35 | — | — | — | ||||||||
Benchmarks | |||||||||||||||||||||||||||||||||||
Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
Arista Networks Inc. | — | 4.90 | 5.18 | 6.14 | 5.85 | 5.14 | 5.58 | 5.72 | 6.71 | 6.75 | 5.63 | 4.75 | 6.03 | 5.98 | 4.87 | 5.71 | 7.01 | 7.22 | 6.47 | 5.95 | — | — | — | — | — | — | — | ||||||||
Cisco Systems Inc. | 10.54 | 9.56 | 11.89 | 8.05 | 10.80 | 11.72 | 12.01 | 9.74 | 10.76 | 10.15 | 9.61 | 7.79 | 8.92 | 8.59 | 9.57 | 8.64 | 11.04 | 11.15 | 12.08 | 9.01 | 11.07 | 11.91 | 10.66 | 9.45 | — | — | — | ||||||||
Dell Technologies Inc. | 8.40 | 8.06 | 10.48 | 9.46 | 9.38 | 9.04 | 10.33 | 8.20 | 9.21 | 7.96 | 8.85 | 7.84 | 7.01 | 7.46 | 8.70 | 7.37 | 8.10 | 7.86 | 8.53 | 7.38 | — | — | — | — | — | — | — | ||||||||
Super Micro Computer Inc. | 8.16 | 6.80 | 6.88 | 5.48 | 7.16 | 6.16 | 8.74 | 6.20 | 9.78 | 8.65 | 8.17 | 6.23 | 6.81 | 8.38 | 8.36 | 7.67 | 8.31 | 10.10 | 10.23 | 8.27 | — | — | — | — | — | — | — |
Based on: 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).
1 Q3 2025 Calculation
Receivables turnover
= (Net salesQ3 2025
+ Net salesQ2 2025
+ Net salesQ1 2025
+ Net salesQ4 2024)
÷ Accounts receivable, net
= (94,036 + 95,359 + 124,300 + 94,930)
÷ 27,557 = 14.83
2 Click competitor name to see calculations.
The net sales exhibit a generally upward trajectory over the periods, with some fluctuations indicative of seasonal or market influences. Starting from a base of 84,310 million US dollars at the end of 2018, sales saw a decline in the first half of 2019 before rebounding significantly in the last quarter of 2019 and maintaining strong levels into 2020. The highest peaks occur at the end of calendar years, notably in December 2020 and December 2021, where net sales surpassed 120,000 million US dollars, suggesting a consistent year-end sales boost. The data from 2022 through the first half of 2025 reflects persistent strength with regular fluctuations but no drastic downward trends, indicating sustained demand over time.
Accounts receivable, net, demonstrate volatility aligned with the sales patterns, reflecting the credit extended to customers as sales vary. The highest accounts receivable balances correspond generally with quarters exhibiting elevated sales, particularly toward year-ends. For instance, notable increases occur in December quarters, such as December 2020, 2021, and 2024, reaching peaks over 33,000 million US dollars in late 2024. This highlights the company's exposure to receivables when sales volumes are high. Conversely, lower accounts receivable values tend to appear during quarters with subdued sales, such as during the first quarters of 2019 and 2020.
Receivables turnover ratios fluctuate but generally remain within a range consistent with efficient collection practices. The ratio data starts from mid-2019 and captures values mostly between 11 and 21. High turnover values around 17 to 21, occurring in multiple quarters including mid-2020, late 2020, mid-2021, and mid-2023, indicate periods when accounts receivable were converted to cash relatively quickly, suggesting strong cash flow management during those intervals. Lower turnover values, such as approximately 10.85 at the end of 2020, may point to slower collection during those specific periods. The variability in turnover implies some seasonality or changes in credit policies aligning with sales cycles.
Overall, the data reflects a company with fluctuating but generally increasing net sales and a corresponding variation in accounts receivable balances. Efficient management of receivables is apparent through the relatively stable receivables turnover ratios, despite some periods of stress likely linked to peak sales times. The trends imply the company's ability to maintain steady revenue growth while managing credit risk through consistent collections performance.
Payables Turnover
Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Sep 24, 2022 | Jun 25, 2022 | Mar 26, 2022 | Dec 25, 2021 | Sep 25, 2021 | Jun 26, 2021 | Mar 27, 2021 | Dec 26, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | Dec 28, 2019 | Sep 28, 2019 | Jun 29, 2019 | Mar 30, 2019 | Dec 29, 2018 | |||||||||
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Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||||||||
Cost of sales | 50,318) | 50,492) | 66,025) | 51,051) | 46,099) | 48,482) | 64,720) | 49,071) | 45,384) | 52,860) | 66,822) | 52,051) | 47,074) | 54,719) | 69,702) | 48,186) | 46,179) | 51,505) | 67,111) | 40,009) | 37,005) | 35,943) | 56,602) | 39,727) | 33,582) | 36,194) | 52,279) | ||||||||
Accounts payable | 50,374) | 54,126) | 61,910) | 68,960) | 47,574) | 45,753) | 58,146) | 62,611) | 46,699) | 42,945) | 57,918) | 64,115) | 48,343) | 52,682) | 74,362) | 54,763) | 40,409) | 40,127) | 63,846) | 42,296) | 35,325) | 32,421) | 45,111) | 46,236) | 29,115) | 30,443) | 44,293) | ||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
Payables turnover1 | 4.33 | 3.95 | 3.42 | 3.05 | 4.38 | 4.54 | 3.65 | 3.42 | 4.65 | 5.10 | 3.81 | 3.49 | 4.54 | 4.15 | 2.90 | 3.89 | 5.07 | 4.88 | 2.82 | 4.01 | 4.79 | 5.12 | 3.68 | 3.50 | — | — | — | ||||||||
Benchmarks | |||||||||||||||||||||||||||||||||||
Payables Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
Arista Networks Inc. | — | 5.23 | 6.86 | 6.59 | 8.14 | 7.63 | 10.09 | 5.13 | 8.16 | 5.95 | 5.84 | 7.33 | 5.39 | 4.74 | 5.61 | 5.27 | 7.39 | 6.54 | 6.52 | 6.23 | — | — | — | — | — | — | — | ||||||||
Cisco Systems Inc. | 8.55 | 9.93 | 9.31 | 8.24 | 9.53 | 11.08 | 10.11 | 9.19 | 8.55 | 8.69 | 8.53 | 8.47 | 8.31 | 9.00 | 8.15 | 7.59 | 7.22 | 9.22 | 7.53 | 7.94 | 7.52 | 9.60 | 9.43 | 9.34 | — | — | — | ||||||||
Dell Technologies Inc. | 3.13 | 2.96 | 3.36 | 3.48 | 3.59 | 3.59 | 4.22 | 4.28 | 3.67 | 3.34 | 3.22 | 2.92 | 2.80 | 3.05 | 3.11 | 2.99 | 3.19 | 3.21 | 3.43 | 3.15 | — | — | — | — | — | — | — | ||||||||
Super Micro Computer Inc. | 29.76 | 33.19 | 9.70 | 8.78 | 9.09 | 6.13 | 5.63 | 7.52 | 8.38 | 9.76 | 6.38 | 6.71 | 5.09 | 5.18 | 5.82 | 4.94 | 6.18 | 6.91 | 8.33 | 6.74 | — | — | — | — | — | — | — |
Based on: 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).
1 Q3 2025 Calculation
Payables turnover
= (Cost of salesQ3 2025
+ Cost of salesQ2 2025
+ Cost of salesQ1 2025
+ Cost of salesQ4 2024)
÷ Accounts payable
= (50,318 + 50,492 + 66,025 + 51,051)
÷ 50,374 = 4.33
2 Click competitor name to see calculations.
- Cost of Sales
- The cost of sales exhibits a notable degree of variability over the observed periods. Initial values fluctuate between approximately $33 billion and $57 billion in the early years, showing no consistent upward or downward trend. However, beginning around late 2020, there is a discernible pattern of increased cost levels, with peaks exceeding $67 billion toward the end of 2020 and again around the end of 2022. These elevated costs tend to be followed by moderate decreases rather than sustained reductions, indicating cyclical increases in operational expenditures. By the end of the period, the figures appear to stabilize somewhat within a range of approximately $50 billion to $66 billion.
- Accounts Payable
- Accounts payable values generally reflect an increasing trend, especially prominent from late 2019 onward. Early periods show a range mostly between $29 billion and $46 billion, followed by a marked escalation surpassing $63 billion during the end of 2020 and reaching the high $70 billion range in late 2021. Post-2021, the figures slightly recede but remain elevated relative to the earlier periods, often staying above $42 billion. The data suggest a growing reliance on supplier credit or extended payment terms during the latter half of the timeline. Peaks tend to coincide roughly with peaks in cost of sales but at a higher relative magnitude.
- Payables Turnover Ratio
- The payables turnover ratio demonstrates fluctuation within a range approximately spanning from 2.82 to 5.12. There is an absence of a clear directional trend over the periods. Several spikes above 5 are evident, most notably around mid-2019 and mid-2021-2022, indicating periods in which the company paid its suppliers more rapidly relative to purchases. Conversely, troughs near or below 3 occur around late 2019, mid-2020, and at various points thereafter, representing slower payment cycles. The variability in this ratio suggests that payment policies or cash management strategies have been adjusted intermittently, possibly in response to changing operational or market conditions.
- Overall Observations
- The cost of sales and accounts payable data together indicate that the company experienced increased operational costs and accounts payable balances in several periods, notably during and following late 2020 through 2022. This could reflect growth in business volume or changes in supply chain dynamics. Meanwhile, the payables turnover ratio's fluctuations imply adjustments in payment behavior, potentially aligning with cash flow management objectives. The combination of rising accounts payable alongside variable turnover ratios might point to strategic variations in liquidity management, balancing between leveraging supplier credit and maintaining favorable payment standings.
Working Capital Turnover
Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Sep 24, 2022 | Jun 25, 2022 | Mar 26, 2022 | Dec 25, 2021 | Sep 25, 2021 | Jun 26, 2021 | Mar 27, 2021 | Dec 26, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | Dec 28, 2019 | Sep 28, 2019 | Jun 29, 2019 | Mar 30, 2019 | Dec 29, 2018 | |||||||||
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Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||||||||
Current assets | 122,491) | 118,674) | 133,240) | 152,987) | 125,435) | 128,416) | 143,692) | 143,566) | 122,659) | 112,913) | 128,777) | 135,405) | 112,292) | 118,180) | 153,154) | 134,836) | 114,423) | 121,465) | 154,106) | 143,713) | 140,065) | 143,753) | 163,231) | 162,819) | 134,973) | 123,346) | 140,828) | ||||||||
Less: Current liabilities | 141,120) | 144,571) | 144,365) | 176,392) | 131,624) | 123,822) | 133,973) | 145,308) | 124,963) | 120,075) | 137,286) | 153,982) | 129,873) | 127,508) | 147,574) | 125,481) | 107,754) | 106,385) | 132,507) | 105,392) | 95,318) | 96,094) | 102,161) | 105,718) | 89,704) | 93,772) | 108,283) | ||||||||
Working capital | (18,629) | (25,897) | (11,125) | (23,405) | (6,189) | 4,594) | 9,719) | (1,742) | (2,304) | (7,162) | (8,509) | (18,577) | (17,581) | (9,328) | 5,580) | 9,355) | 6,669) | 15,080) | 21,599) | 38,321) | 44,747) | 47,659) | 61,070) | 57,101) | 45,269) | 29,574) | 32,545) | ||||||||
Net sales | 94,036) | 95,359) | 124,300) | 94,930) | 85,777) | 90,753) | 119,575) | 89,498) | 81,797) | 94,836) | 117,154) | 90,146) | 82,959) | 97,278) | 123,945) | 83,360) | 81,434) | 89,584) | 111,439) | 64,698) | 59,685) | 58,313) | 91,819) | 64,040) | 53,809) | 58,015) | 84,310) | ||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
Working capital turnover1 | — | — | — | — | — | 83.07 | 39.69 | — | — | — | — | — | — | — | 67.80 | 39.10 | 52.06 | 21.58 | 13.62 | 7.16 | 6.12 | 5.62 | 4.38 | 4.56 | — | — | — | ||||||||
Benchmarks | |||||||||||||||||||||||||||||||||||
Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||||||||
Arista Networks Inc. | — | 0.84 | 0.81 | 0.76 | 0.78 | 0.82 | 0.85 | 0.90 | 0.96 | 1.01 | 1.04 | 1.03 | 1.04 | 1.01 | 0.85 | 0.80 | 0.76 | 0.76 | 0.77 | 0.76 | — | — | — | — | — | — | — | ||||||||
Cisco Systems Inc. | — | — | — | — | — | 5.08 | 4.60 | 4.73 | 4.89 | 4.72 | 4.65 | 4.65 | 4.36 | 4.74 | 3.54 | 3.88 | 3.82 | 2.89 | 3.00 | 2.70 | 3.29 | 2.87 | 3.04 | 3.24 | — | — | — | ||||||||
Dell Technologies Inc. | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Super Micro Computer Inc. | 2.67 | 2.85 | 2.69 | 2.28 | 1.86 | 3.25 | 3.76 | 3.95 | 4.05 | 3.84 | 3.94 | 3.89 | 3.91 | 3.81 | 4.09 | 3.96 | 3.95 | 3.74 | 3.71 | 3.77 | — | — | — | — | — | — | — |
Based on: 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).
1 Q3 2025 Calculation
Working capital turnover
= (Net salesQ3 2025
+ Net salesQ2 2025
+ Net salesQ1 2025
+ Net salesQ4 2024)
÷ Working capital
= (94,036 + 95,359 + 124,300 + 94,930)
÷ -18,629 = —
2 Click competitor name to see calculations.
The data reveals distinct patterns in the financial performance over the observed quarterly periods. Working capital experienced fluctuations with an initial increase up to the fourth quarter of 2019, followed by a downward trend, reaching notably negative values in early 2022 and again towards the end of 2024. These negative values indicate periods where current liabilities may have exceeded current assets, potentially impacting liquidity.
Net sales display strong seasonality with significant peaks typically occurring in the fourth quarter of each year, reaching its highest points in the quarters ending December 2021, December 2023, and December 2025. Between these peaks, net sales tend to dip, particularly noticeable in the first and second quarters each year. Despite these cyclical changes, net sales show an overall increasing trend over the years, suggesting growth in revenue generation.
Working capital turnover ratios, reported sporadically, indicate increasing efficiency in using working capital to generate sales during the periods they are available. Notably, the ratio surged dramatically in late 2020 and early 2021, reaching as high as above 50 and even near 68 in one quarter, suggesting a substantial increase in sales relative to working capital held at those times. However, data for subsequent periods is largely missing, limiting a full trend analysis of this metric.
- Working Capital:
- Peaked around Q4 2019, followed by a decline with several quarters reflecting negative values indicating potential liquidity constraints.
- Net Sales:
- Exhibits pronounced seasonal peaks in Q4 annually with an overall upward trajectory over the five-year span.
- Working Capital Turnover:
- Shows a sharp increase in efficiency in late 2020 to early 2021; however, data gaps prevent comprehensive long-term trend analysis.
Average Inventory Processing Period
Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Sep 24, 2022 | Jun 25, 2022 | Mar 26, 2022 | Dec 25, 2021 | Sep 25, 2021 | Jun 26, 2021 | Mar 27, 2021 | Dec 26, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | Dec 28, 2019 | Sep 28, 2019 | Jun 29, 2019 | Mar 30, 2019 | Dec 29, 2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||||||||
Inventory turnover | 36.77 | 34.08 | 30.63 | 28.87 | 33.80 | 33.32 | 32.57 | 33.82 | 29.54 | 29.24 | 32.36 | 45.20 | 40.43 | 40.07 | 36.69 | 32.37 | 39.55 | 37.48 | 36.21 | 41.75 | 42.55 | 49.75 | 40.54 | 39.40 | — | — | — | ||||||||
Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||||
Average inventory processing period1 | 10 | 11 | 12 | 13 | 11 | 11 | 11 | 11 | 12 | 12 | 11 | 8 | 9 | 9 | 10 | 11 | 9 | 10 | 10 | 9 | 9 | 7 | 9 | 9 | — | — | — | ||||||||
Benchmarks (no. days) | |||||||||||||||||||||||||||||||||||
Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||||||||||||
Arista Networks Inc. | — | 264 | 268 | 267 | 274 | 298 | 328 | 318 | 315 | 325 | 318 | 276 | 268 | 239 | 221 | 222 | 210 | 209 | 197 | 210 | — | — | — | — | — | — | — | ||||||||
Cisco Systems Inc. | 53 | 57 | 62 | 65 | 58 | 57 | 58 | 63 | 61 | 57 | 49 | 49 | 43 | 40 | 36 | 32 | 33 | 30 | 28 | 27 | 25 | 27 | 26 | 26 | — | — | — | ||||||||
Dell Technologies Inc. | 33 | 30 | 25 | 20 | 18 | 18 | 19 | 22 | 27 | 25 | 28 | 27 | 27 | 22 | 21 | 19 | 20 | 21 | 21 | 19 | — | — | — | — | — | — | — | ||||||||
Super Micro Computer Inc. | 74 | 72 | 110 | 122 | 152 | 116 | 123 | 90 | 105 | 95 | 127 | 128 | 146 | 141 | 132 | 126 | 115 | 108 | 102 | 110 | — | — | — | — | — | — | — |
Based on: 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).
1 Q3 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 36.77 = 10
2 Click competitor name to see calculations.
The inventory turnover ratio exhibits notable fluctuations over the observed periods. Starting from a ratio of 39.4, it increased steadily to a peak of approximately 49.75 before declining to lower levels around 28.87 in later periods. This indicates variability in the efficiency with which inventory is sold and replaced. Periods of higher turnover suggest improved inventory management or increased sales velocity, while declines may point to slower movement of inventory or potential accumulation.
Correspondingly, the average inventory processing period, measured in days, shows an inverse pattern to the turnover ratio. Initially, the processing period is around 9 days, decreasing briefly to 7 days, which aligns with the peak in turnover ratio, indicating faster inventory cycles. Subsequently, it increases to a maximum of 13 days in some periods, signaling slower inventory processing. The upward movement in processing days during later intervals corresponds with the downturn in turnover ratios, reflecting less rapid inventory turnover.
- Inventory Turnover Ratio Trends
-
The ratio rose from the late 30s to a high near 50, suggesting periods of enhanced operational efficiency. Following the peak, a decline occurred, stabilizing in the 28-36 range in more recent quarters, indicating a moderate slowdown in inventory turnover.
- Average Inventory Processing Period Trends
-
The processing period consistently fluctuated between 7 and 13 days. Notably, periods of lower inventory processing days coincide with higher turnover ratios, while longer processing times accompany lower turnover, illustrating the typical inverse relationship between these metrics.
- Pattern Insights
-
The data suggests that inventory management effectiveness varies across quarters, potentially influenced by factors such as demand changes, supply chain constraints, or strategic adjustments. Recent slight improvements in processing speed may indicate efforts to optimize inventory handling despite overall moderate turnover ratios.
Average Receivable Collection Period
Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Sep 24, 2022 | Jun 25, 2022 | Mar 26, 2022 | Dec 25, 2021 | Sep 25, 2021 | Jun 26, 2021 | Mar 27, 2021 | Dec 26, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | Dec 28, 2019 | Sep 28, 2019 | Jun 29, 2019 | Mar 30, 2019 | Dec 29, 2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||||||||
Receivables turnover | 14.83 | 15.32 | 13.35 | 11.70 | 16.92 | 17.48 | 16.63 | 12.99 | 19.64 | 21.47 | 16.32 | 13.99 | 17.77 | 18.55 | 12.52 | 13.92 | 19.87 | 17.59 | 10.85 | 17.03 | 15.31 | 17.04 | 12.77 | 11.35 | — | — | — | ||||||||
Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||||
Average receivable collection period1 | 25 | 24 | 27 | 31 | 22 | 21 | 22 | 28 | 19 | 17 | 22 | 26 | 21 | 20 | 29 | 26 | 18 | 21 | 34 | 21 | 24 | 21 | 29 | 32 | — | — | — | ||||||||
Benchmarks (no. days) | |||||||||||||||||||||||||||||||||||
Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||||||||
Arista Networks Inc. | — | 75 | 70 | 59 | 62 | 71 | 65 | 64 | 54 | 54 | 65 | 77 | 61 | 61 | 75 | 64 | 52 | 51 | 56 | 61 | — | — | — | — | — | — | — | ||||||||
Cisco Systems Inc. | 35 | 38 | 31 | 45 | 34 | 31 | 30 | 37 | 34 | 36 | 38 | 47 | 41 | 43 | 38 | 42 | 33 | 33 | 30 | 41 | 33 | 31 | 34 | 39 | — | — | — | ||||||||
Dell Technologies Inc. | 43 | 45 | 35 | 39 | 39 | 40 | 35 | 45 | 40 | 46 | 41 | 47 | 52 | 49 | 42 | 50 | 45 | 46 | 43 | 49 | — | — | — | — | — | — | — | ||||||||
Super Micro Computer Inc. | 45 | 54 | 53 | 67 | 51 | 59 | 42 | 59 | 37 | 42 | 45 | 59 | 54 | 44 | 44 | 48 | 44 | 36 | 36 | 44 | — | — | — | — | — | — | — |
Based on: 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).
1 Q3 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 14.83 = 25
2 Click competitor name to see calculations.
The receivables turnover ratio and the average receivable collection period exhibit distinct trends over the observed quarterly periods.
- Receivables Turnover Ratio
-
The ratio demonstrates considerable fluctuation across the quarters. Starting at 11.35 in late 2018, it experienced an overall upward trend peaking at 21.47 around early 2023. However, the ratio does not maintain a constant upward trajectory; it declines intermittently, with notable decreases such as to 10.85 in early 2021 and a generally volatile pattern thereafter.
The high points in the turnover ratio, particularly those above 17, indicate periods where the company collected its receivables more efficiently and quickly converted credit sales into cash. Conversely, dips below 13 occur sporadically and may suggest slower collections during those quarters.
- Average Receivable Collection Period
-
The average receivable collection period, expressed in days, moves inversely to the turnover ratio as expected. It begins around 32 days and generally declines to lower values in later periods, with the shortest collection period near 17 days in early 2023, which corresponds to the peak in receivables turnover.
The collection period stretches back upwards to over 30 days in some quarters, such as late 2018 and early 2024, indicating slower collection cycles in those times. Overall, there appears to be an improvement in collection efficiency toward the mid and later parts of the timeline, given the lower average days to collect receivables during that period.
In summary, the data reveal intermittent but generally improving efficiency in receivables management; the company at times reduces the days it takes to collect its receivables, reflected in higher turnover ratios and shorter collection periods. However, the fluctuations suggest that this efficiency is not constant and there remain periods of slower receivable collections.
Operating Cycle
Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Sep 24, 2022 | Jun 25, 2022 | Mar 26, 2022 | Dec 25, 2021 | Sep 25, 2021 | Jun 26, 2021 | Mar 27, 2021 | Dec 26, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | Dec 28, 2019 | Sep 28, 2019 | Jun 29, 2019 | Mar 30, 2019 | Dec 29, 2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||||||||
Average inventory processing period | 10 | 11 | 12 | 13 | 11 | 11 | 11 | 11 | 12 | 12 | 11 | 8 | 9 | 9 | 10 | 11 | 9 | 10 | 10 | 9 | 9 | 7 | 9 | 9 | — | — | — | ||||||||
Average receivable collection period | 25 | 24 | 27 | 31 | 22 | 21 | 22 | 28 | 19 | 17 | 22 | 26 | 21 | 20 | 29 | 26 | 18 | 21 | 34 | 21 | 24 | 21 | 29 | 32 | — | — | — | ||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
Operating cycle1 | 35 | 35 | 39 | 44 | 33 | 32 | 33 | 39 | 31 | 29 | 33 | 34 | 30 | 29 | 39 | 37 | 27 | 31 | 44 | 30 | 33 | 28 | 38 | 41 | — | — | — | ||||||||
Benchmarks | |||||||||||||||||||||||||||||||||||
Operating Cycle, Competitors2 | |||||||||||||||||||||||||||||||||||
Arista Networks Inc. | — | 339 | 338 | 326 | 336 | 369 | 393 | 382 | 369 | 379 | 383 | 353 | 329 | 300 | 296 | 286 | 262 | 260 | 253 | 271 | — | — | — | — | — | — | — | ||||||||
Cisco Systems Inc. | 88 | 95 | 93 | 110 | 92 | 88 | 88 | 100 | 95 | 93 | 87 | 96 | 84 | 83 | 74 | 74 | 66 | 63 | 58 | 68 | 58 | 58 | 60 | 65 | — | — | — | ||||||||
Dell Technologies Inc. | 76 | 75 | 60 | 59 | 57 | 58 | 54 | 67 | 67 | 71 | 69 | 74 | 79 | 71 | 63 | 69 | 65 | 67 | 64 | 68 | — | — | — | — | — | — | — | ||||||||
Super Micro Computer Inc. | 119 | 126 | 163 | 189 | 203 | 175 | 165 | 149 | 142 | 137 | 172 | 187 | 200 | 185 | 176 | 174 | 159 | 144 | 138 | 154 | — | — | — | — | — | — | — |
Based on: 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).
1 Q3 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 10 + 25 = 35
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals notable fluctuations and trends in the inventory processing period, receivable collection period, and operating cycle over the observed timeframe.
- Average Inventory Processing Period
- The average inventory processing period demonstrated relative stability with minor fluctuations, mostly ranging between 7 and 13 days. Initially, the period was around 9 days, dipping to as low as 7 days mid-2019, and rising back towards 10 and 11 days in subsequent quarters. Notably, there was a slight increase to 13 days by mid-2025, indicating a potential lengthening in the time taken to process inventory in the most recent periods.
- Average Receivable Collection Period
- The average receivable collection period exhibited more pronounced variability. Starting at 32 days in late 2018, it decreased significantly to a low of 17 days in early 2023, suggesting improved efficiency in collecting receivables over that interval. However, from early 2023 onwards, the period showed an upward trend, reaching peaks of 31 days towards the end of 2024, followed by a modest decline to 24-25 days in mid-2025. This pattern indicates cyclical changes in receivable management or payment behaviors.
- Operating Cycle
- The operating cycle, which combines inventory processing and receivable collection periods, mirrored the fluctuations observed in its components. It started at 41 days in late 2018, declined to as low as 27 days in mid-2021, then increased again, peaking at 44 days in late 2024. The operating cycle remained somewhat elevated thereafter, indicating periods of both improved and extended cash conversion cycles across the years analyzed.
In summary, the company experienced periods of enhanced operational efficiency, particularly in the receivable collection process around early 2023, which contributed to a shortened operating cycle. However, the recent increases in both inventory processing time and receivable collection period may suggest emerging challenges in managing working capital efficiently. Continuous monitoring of these metrics is advisable to maintain optimal operational and financial performance.
Average Payables Payment Period
Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Sep 24, 2022 | Jun 25, 2022 | Mar 26, 2022 | Dec 25, 2021 | Sep 25, 2021 | Jun 26, 2021 | Mar 27, 2021 | Dec 26, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | Dec 28, 2019 | Sep 28, 2019 | Jun 29, 2019 | Mar 30, 2019 | Dec 29, 2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||||||||
Payables turnover | 4.33 | 3.95 | 3.42 | 3.05 | 4.38 | 4.54 | 3.65 | 3.42 | 4.65 | 5.10 | 3.81 | 3.49 | 4.54 | 4.15 | 2.90 | 3.89 | 5.07 | 4.88 | 2.82 | 4.01 | 4.79 | 5.12 | 3.68 | 3.50 | — | — | — | ||||||||
Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||||
Average payables payment period1 | 84 | 92 | 107 | 120 | 83 | 80 | 100 | 107 | 79 | 72 | 96 | 105 | 80 | 88 | 126 | 94 | 72 | 75 | 129 | 91 | 76 | 71 | 99 | 104 | — | — | — | ||||||||
Benchmarks (no. days) | |||||||||||||||||||||||||||||||||||
Average Payables Payment Period, Competitors2 | |||||||||||||||||||||||||||||||||||
Arista Networks Inc. | — | 70 | 53 | 55 | 45 | 48 | 36 | 71 | 45 | 61 | 62 | 50 | 68 | 77 | 65 | 69 | 49 | 56 | 56 | 59 | — | — | — | — | — | — | — | ||||||||
Cisco Systems Inc. | 43 | 37 | 39 | 44 | 38 | 33 | 36 | 40 | 43 | 42 | 43 | 43 | 44 | 41 | 45 | 48 | 51 | 40 | 48 | 46 | 49 | 38 | 39 | 39 | — | — | — | ||||||||
Dell Technologies Inc. | 117 | 123 | 109 | 105 | 102 | 102 | 86 | 85 | 99 | 109 | 113 | 125 | 130 | 120 | 117 | 122 | 114 | 114 | 107 | 116 | — | — | — | — | — | — | — | ||||||||
Super Micro Computer Inc. | 12 | 11 | 38 | 42 | 40 | 60 | 65 | 49 | 44 | 37 | 57 | 54 | 72 | 70 | 63 | 74 | 59 | 53 | 44 | 54 | — | — | — | — | — | — | — |
Based on: 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).
1 Q3 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 4.33 = 84
2 Click competitor name to see calculations.
The payables turnover ratio and the average payables payment period display an inverse relationship as expected, reflecting changes in how quickly the company settles its payables over time.
- Payables Turnover Ratio
- The payables turnover showed considerable fluctuation across the periods. Early data points reveal a moderate ratio around 3.5 to 3.68, followed by a notable increase reaching 5.12 at one point, indicating a period of quicker payments. This peak was followed by a decline to approximately 2.82, suggesting slower payables turnover during that timeframe. Subsequently, the ratio oscillated between moderate and higher levels, peaking again near 5.10 before gradually declining toward the most recent periods, where it settled around the 3 to 4.5 range. These fluctuations suggest variability in payment speed, potentially influenced by changes in purchasing strategy, supplier terms, or operational cash management.
- Average Payables Payment Period
- The average payment period in days shows an inverse pattern relative to the payables turnover. Periods corresponding to elevated turnover ratios illustrate lower days outstanding, with a trough around 71 days, indicating faster payment cycles. Conversely, periods with low turnover ratios saw an increase in payment days, reaching values as high as 129 days. Over the most recent periods, the payment days stabilize generally between approximately 80 to 120 days, signaling a return to a moderate payment duration following earlier volatility.
- Overall Trend and Insights
- The data reveals cyclical behavior in payment practices, alternating between accelerated payments and extended credit utilization. The substantial swings in both ratios highlight a flexible approach to managing payables, perhaps optimized for cash flow needs or supplier relations at different times. The recent trend toward a moderate turnover ratio coupled with a stabilized average payment period suggests a potential settling into a more consistent payables management strategy. This could indicate improved predictability and control in operational cash flow and supplier agreements.
Cash Conversion Cycle
Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Sep 24, 2022 | Jun 25, 2022 | Mar 26, 2022 | Dec 25, 2021 | Sep 25, 2021 | Jun 26, 2021 | Mar 27, 2021 | Dec 26, 2020 | Sep 26, 2020 | Jun 27, 2020 | Mar 28, 2020 | Dec 28, 2019 | Sep 28, 2019 | Jun 29, 2019 | Mar 30, 2019 | Dec 29, 2018 | |||||||||
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Selected Financial Data | |||||||||||||||||||||||||||||||||||
Average inventory processing period | 10 | 11 | 12 | 13 | 11 | 11 | 11 | 11 | 12 | 12 | 11 | 8 | 9 | 9 | 10 | 11 | 9 | 10 | 10 | 9 | 9 | 7 | 9 | 9 | — | — | — | ||||||||
Average receivable collection period | 25 | 24 | 27 | 31 | 22 | 21 | 22 | 28 | 19 | 17 | 22 | 26 | 21 | 20 | 29 | 26 | 18 | 21 | 34 | 21 | 24 | 21 | 29 | 32 | — | — | — | ||||||||
Average payables payment period | 84 | 92 | 107 | 120 | 83 | 80 | 100 | 107 | 79 | 72 | 96 | 105 | 80 | 88 | 126 | 94 | 72 | 75 | 129 | 91 | 76 | 71 | 99 | 104 | — | — | — | ||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||||||||
Cash conversion cycle1 | -49 | -57 | -68 | -76 | -50 | -48 | -67 | -68 | -48 | -43 | -63 | -71 | -50 | -59 | -87 | -57 | -45 | -44 | -85 | -61 | -43 | -43 | -61 | -63 | — | — | — | ||||||||
Benchmarks | |||||||||||||||||||||||||||||||||||
Cash Conversion Cycle, Competitors2 | |||||||||||||||||||||||||||||||||||
Arista Networks Inc. | — | 269 | 285 | 271 | 291 | 321 | 357 | 311 | 324 | 318 | 321 | 303 | 261 | 223 | 231 | 217 | 213 | 204 | 197 | 212 | — | — | — | — | — | — | — | ||||||||
Cisco Systems Inc. | 45 | 58 | 54 | 66 | 54 | 55 | 52 | 60 | 52 | 51 | 44 | 53 | 40 | 42 | 29 | 26 | 15 | 23 | 10 | 22 | 9 | 20 | 21 | 26 | — | — | — | ||||||||
Dell Technologies Inc. | -41 | -48 | -49 | -46 | -45 | -44 | -32 | -18 | -32 | -38 | -44 | -51 | -51 | -49 | -54 | -53 | -49 | -47 | -43 | -48 | — | — | — | — | — | — | — | ||||||||
Super Micro Computer Inc. | 107 | 115 | 125 | 147 | 163 | 115 | 100 | 100 | 98 | 100 | 115 | 133 | 128 | 115 | 113 | 100 | 100 | 91 | 94 | 100 | — | — | — | — | — | — | — |
Based on: 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).
1 Q3 2025 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 10 + 25 – 84 = -49
2 Click competitor name to see calculations.
The analysis of the financial metrics over the reported periods reveals several notable trends in the operational efficiency and liquidity management.
- Average Inventory Processing Period
- The average inventory processing period remained relatively stable between approximately 7 to 13 days throughout the periods, with occasional slight increases and decreases. Starting from around 9 days, it fluctuated moderately, with a peak at 13 days observed in the period near mid-2025, before slightly declining towards 10 days by the end of the latest period. This indicates consistent efficiency in inventory turnover without significant volatility.
- Average Receivable Collection Period
- The average receivable collection period demonstrated more variability, fluctuating between 17 and 34 days. The initial period showed values around 32 days, decreasing to a low of 17 days in late 2020, reflecting improved collection efficiency at that time. However, subsequent periods saw a moderate increase again, reaching up to 31 days before settling to approximately 24-25 days in the latest recorded periods. This pattern suggests alternating periods of faster and slower receivable collections.
- Average Payables Payment Period
- The average payables payment period exhibited considerable fluctuation, ranging roughly from 71 to 130 days. Notably, the value peaked around 129-130 days during early 2020 and late 2021, indicating extended payment terms during those intervals. The periods following these peaks witnessed reductions back to levels near 70-80 days. Such variation points to a strategic adjustment in supplier payment timing, potentially influenced by cash flow management practices or external conditions affecting payment policies.
- Cash Conversion Cycle
- The cash conversion cycle (CCC) consistently remained negative throughout the periods, ranging from approximately -43 to -87 days. The most negative values, around -85 to -87 days, were observed in early 2020 and late 2021, which represents a shorter cash conversion cycle and thus more efficient working capital management. The CCC showed a slight trend towards less negative values in recent periods but mostly maintained a strong negative position. This persistent negative CCC suggests that the company collects cash from customers significantly faster than it needs to pay its suppliers, thereby creating a favorable liquidity dynamic.
In summary, the company has maintained stable and efficient inventory turnover while managing variability in receivables and payables periods. Strategic management of payables terms has been evident, likely to optimize liquidity and cash flow. The persistently negative cash conversion cycle underscores efficient overall working capital management, highlighting the company's ability to convert its investments in inventory and other resources into cash with minimal delay.