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: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-K (reporting date: 2025-09-27), 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).
The operational activity analysis reveals a highly efficient working capital management strategy characterized by rapid asset turnover and a consistently negative cash conversion cycle. The company demonstrates a structural ability to generate cash from sales significantly before settling obligations with suppliers, effectively using trade credit as a primary source of short-term financing.
- Inventory Management
- Inventory turnover remains consistently high, fluctuating between 28.87 and 45.20. The average inventory processing period is exceptionally short, typically ranging from 8 to 13 days. While a slight increase in the processing period was observed between 2023 and early 2024, the metric returned to levels below 10 days by late 2025, indicating a lean supply chain and high demand for finished goods.
- Receivables Collection
- The receivables turnover exhibits notable volatility, with a peak of 21.47 in April 2023 and a low of 10.46 in September 2025. The average receivable collection period generally stays between 17 and 35 days. A recurring seasonal pattern is evident, where collection periods tend to lengthen during the third quarter of the calendar year, suggesting periodic shifts in credit terms or customer payment behavior.
- Operating Cycle
- The operating cycle, comprising the time to process inventory and collect receivables, remains lean, ranging from 27 to 44 days. The cycle typically peaks in September of each year, coinciding with the increase in the receivable collection period, but otherwise remains stable and efficient.
- Payables and Cash Conversion
- The average payables payment period is significantly longer than the operating cycle, ranging from 72 to 129 days. This discrepancy results in a persistent negative cash conversion cycle, which has fluctuated between -43 and -87 days. The most pronounced negative cycles occurred in December 2020 and December 2021, suggesting an aggressive optimization of supplier credit during those periods. This negative cycle allows for the funding of operations through supplier financing rather than internal cash reserves or external borrowing.
- Working Capital Turnover
- Working capital turnover ratios show extreme variance where data is available, reaching a high of 83.07 in March 2024. This indicates a high level of efficiency in utilizing net current assets to generate revenue, although the intermittent nature of the data suggests significant quarterly swings in current asset and liability balances.
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Turnover Ratios
Average No. Days
Inventory Turnover
| Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Cost of sales | 56,403) | 74,525) | 54,125) | 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) | |||||||
| Inventories | 6,747) | 5,875) | 5,718) | 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) | |||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Inventory turnover1 | 34.89 | 39.06 | 38.64 | 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 | |||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Arista Networks Inc. | — | 1.49 | 1.44 | 1.40 | 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 | — | — | — | — | |||||||
| Cisco Systems Inc. | 5.30 | 5.97 | 6.28 | 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 | |||||||
| Dell Technologies Inc. | 11.10 | 10.16 | 11.07 | 10.98 | 11.95 | 14.44 | 18.65 | 20.66 | 20.02 | 18.72 | 16.67 | 13.40 | 14.38 | 13.11 | 13.45 | 13.76 | 16.63 | 17.53 | — | — | — | — | |||||||
| Lumentum Holdings Inc. | 2.32 | 2.26 | 2.35 | 2.45 | 2.58 | 2.57 | 2.57 | 2.50 | 2.16 | 2.46 | 2.73 | 2.62 | 2.82 | 2.58 | 3.44 | 3.79 | 4.11 | 4.19 | 4.57 | 4.28 | 4.42 | 4.41 | |||||||
| Super Micro Computer Inc. | 2.44 | 3.30 | 4.18 | 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 | |||||||
Based on: 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-K (reporting date: 2025-09-27), 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).
1 Q2 2026 Calculation
Inventory turnover
= (Cost of salesQ2 2026
+ Cost of salesQ1 2026
+ Cost of salesQ4 2025
+ Cost of salesQ3 2025)
÷ Inventories
= (56,403 + 74,525 + 54,125 + 50,318)
÷ 6,747 = 34.89
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a cyclical pattern in inventory management, characterized by significant seasonal fluctuations in the cost of sales and a fluctuating inventory turnover ratio over the observed period from December 2020 to March 2026.
- Cost of Sales Dynamics
- A consistent seasonal peak is observed every December, with the cost of sales reaching its highest annual points in December 2020 (67,111 million), December 2021 (69,702 million), December 2022 (66,822 million), December 2023 (64,720 million), December 2024 (66,025 million), and December 2025 (74,525 million). This recurring spike suggests a high volume of goods sold during the year-end period, contrasted by lower expenditure in the March and June quarters.
- Inventory Level Trends
- Inventory levels remained relatively stable between 2020 and 2022, generally fluctuating between 4.9 billion and 6.5 billion. A period of inventory expansion occurred between December 2022 and April 2023, peaking at 7,482 million. While levels moderated slightly thereafter, another increase was noted in September 2024 (7,286 million) before stabilizing below 7 billion through the end of the analyzed period.
- Inventory Turnover Performance
- The inventory turnover ratio demonstrates three distinct phases. An initial phase of high efficiency is observed from December 2020 to September 2022, where the ratio peaked at 45.20. This was followed by a contraction phase between December 2022 and September 2024, during which the ratio declined to a low of 28.87, coinciding with the period of highest inventory accumulation. A recovery phase is evident from December 2024 through December 2025, with the ratio climbing back to 39.06, indicating a return to leaner inventory management or increased sales velocity.
- Operational Insights
- The inverse relationship between inventory levels and the turnover ratio is prominent. The dip in turnover between 2023 and 2024 suggests a period of lower asset utilization or a strategic decision to increase safety stock. The subsequent rise in the turnover ratio toward 2025, despite the record high cost of sales in December 2025, indicates an optimized alignment between inventory holdings and demand.
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Receivables Turnover
| Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Net sales | 111,184) | 143,756) | 102,466) | 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) | |||||||
| Accounts receivable, net | 30,339) | 39,921) | 39,777) | 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) | |||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Receivables turnover1 | 14.88 | 10.91 | 10.46 | 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 | |||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Arista Networks Inc. | — | 5.05 | 4.77 | 5.67 | 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 | — | — | — | — | |||||||
| Cisco Systems Inc. | 8.94 | 11.95 | 8.45 | 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 | |||||||
| Dell Technologies Inc. | 6.75 | 9.88 | 9.28 | 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 | — | — | — | — | |||||||
| Lumentum Holdings Inc. | 5.59 | 6.00 | 6.58 | 5.76 | 6.23 | 6.94 | 6.98 | 6.19 | 5.79 | 7.17 | 7.18 | 6.54 | 5.54 | 5.20 | 6.54 | 6.95 | 7.14 | 6.61 | 8.19 | 7.65 | 6.15 | 6.38 | |||||||
| Super Micro Computer Inc. | 2.55 | 8.34 | 9.97 | 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 | |||||||
Based on: 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-K (reporting date: 2025-09-27), 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).
1 Q2 2026 Calculation
Receivables turnover
= (Net salesQ2 2026
+ Net salesQ1 2026
+ Net salesQ4 2025
+ Net salesQ3 2025)
÷ Accounts receivable, net
= (111,184 + 143,756 + 102,466 + 94,036)
÷ 30,339 = 14.88
2 Click competitor name to see calculations.
The analysis of quarterly operational activity indicates a pronounced seasonal pattern in both net sales and the efficiency of receivables collection. Net sales consistently peak during the December quarters, reaching a high of 143.76 billion in December 2025. This cyclicality is mirrored in the accounts receivable balance, though the relationship between sales growth and collection speed varies across the observed period.
- Receivables Turnover Volatility
- The receivables turnover ratio exhibits significant fluctuation, ranging from a peak of 21.47 in April 2023 to a low of 10.46 in September 2025. High turnover ratios observed in the first and second quarters of most years suggest accelerated collection cycles following the peak holiday sales periods. Conversely, lower ratios typically emerge in the late third and fourth quarters, indicating a relative increase in outstanding receivables compared to quarterly sales volume.
- Revenue and Asset Correlation
- A direct correlation is observed between the surge in net sales and the increase in net accounts receivable. For instance, as net sales climbed to 143.76 billion in December 2025, accounts receivable also reached a peak of 39.92 billion. This expansion of the receivables balance during high-revenue periods suggests a systemic increase in credit extended to customers or a lag in collection during peak demand phases.
- Recent Efficiency Trends
- A downward trend in collection efficiency is evident in the latter part of the period. Between June 2024 and September 2025, the turnover ratio declined from 16.92 to 10.46. This deterioration in the ratio persists despite substantial revenue growth, suggesting that the growth in accounts receivable has outpaced the growth in sales. While there was a slight recovery to 14.88 by March 2026, the overall efficiency levels remain lower than the peaks seen in 2021 and 2023.
Overall, the data reveals a business model characterized by strong seasonal revenue spikes and a corresponding fluctuation in credit management efficiency. The most recent data points suggest a shift toward a slower receivables turnover, which may indicate changes in credit policy or shifts in customer payment behavior during peak sales cycles.
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Payables Turnover
| Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Cost of sales | 56,403) | 74,525) | 54,125) | 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) | |||||||
| Accounts payable | 57,349) | 70,587) | 69,860) | 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) | |||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Payables turnover1 | 4.10 | 3.25 | 3.16 | 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 | |||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Arista Networks Inc. | — | 5.82 | 4.97 | 6.26 | 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 | — | — | — | — | |||||||
| Cisco Systems Inc. | 7.52 | 8.39 | 7.86 | 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 | |||||||
| Dell Technologies Inc. | 2.91 | 2.97 | 3.57 | 3.12 | 2.95 | 3.35 | 3.48 | 3.59 | 3.59 | 4.22 | 4.28 | 3.67 | 3.34 | 3.22 | 2.92 | 2.80 | 3.05 | 3.11 | — | — | — | — | |||||||
| Lumentum Holdings Inc. | 3.81 | 4.30 | 4.90 | 5.31 | 5.62 | 6.36 | 8.11 | 7.89 | 6.26 | 7.83 | 6.57 | 5.41 | 5.03 | 4.59 | 5.50 | 6.70 | 7.24 | 8.53 | 7.68 | 8.62 | 8.22 | 6.42 | |||||||
| Super Micro Computer Inc. | 1.88 | 14.79 | 15.24 | 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 | |||||||
Based on: 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-K (reporting date: 2025-09-27), 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).
1 Q2 2026 Calculation
Payables turnover
= (Cost of salesQ2 2026
+ Cost of salesQ1 2026
+ Cost of salesQ4 2025
+ Cost of salesQ3 2025)
÷ Accounts payable
= (56,403 + 74,525 + 54,125 + 50,318)
÷ 57,349 = 4.10
2 Click competitor name to see calculations.
The analysis of the payables turnover ratio reveals a pronounced cyclical pattern aligned with quarterly operational cycles. The ratio exhibits significant volatility, typically fluctuating between a low of approximately 2.82 and a peak of 5.10, reflecting seasonal shifts in how supplier obligations are managed relative to the cost of sales.
- Seasonal Turnover Patterns
- A recurring trend is observed where the payables turnover ratio peaks during the March and June quarters and declines toward the September and December quarters. For instance, the ratio reached high points in June 2021 (5.07) and April 2023 (5.10), while consistently dipping in December, such as in December 2020 (2.82) and December 2021 (2.90). This suggests a periodic acceleration in payment velocity or a reduction in outstanding payables during the first half of the year.
- Correlation with Cost of Sales
- The payables turnover ratio demonstrates an inverse relationship with the seasonal surges in the cost of sales. The cost of sales consistently peaks in December—reaching 74,525 million in December 2025—which coincides with lower turnover ratios. This indicates that as production and procurement increase to meet year-end demand, accounts payable are scaled upward, effectively extending the payment cycle to manage working capital requirements during peak activity.
- Accounts Payable Management
- Accounts payable balances show significant fluctuations that mirror the operational demands. High balances are frequently observed in the late-year quarters, such as the 74,362 million recorded in December 2021 and 70,587 million in December 2025. The ability to maintain these high payable levels during periods of maximum cost of sales suggests a strong credit position and the capacity to leverage supplier financing to support inventory builds.
- Long-term Ratio Stability
- Despite the quarterly volatility, the payables turnover ratio maintains a consistent range over the observed period from 2020 to 2026. The ratio frequently reverts to a mean around 3.5 to 4.5. The most recent data from March 2026 shows a ratio of 4.10, indicating a return to the typical upward trend observed in the first quarter of the calendar year.
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Working Capital Turnover
| Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Current assets | 144,114) | 158,104) | 147,957) | 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) | |||||||
| Less: Current liabilities | 134,641) | 162,367) | 165,631) | 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) | |||||||
| Working capital | 9,473) | (4,263) | (17,674) | (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) | |||||||
| Net sales | 111,184) | 143,756) | 102,466) | 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) | |||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Working capital turnover1 | 47.66 | — | — | — | — | — | — | — | 83.07 | 39.69 | — | — | — | — | — | — | — | 67.80 | 39.10 | 52.06 | 21.58 | 13.62 | |||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Arista Networks Inc. | — | 0.81 | 0.82 | 0.80 | 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 | — | — | — | — | |||||||
| 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 | |||||||
| Dell Technologies Inc. | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |||||||
| Lumentum Holdings Inc. | — | 3.29 | 1.24 | 1.12 | 1.08 | 1.04 | 1.03 | 1.07 | 1.02 | 0.75 | 0.82 | 1.07 | 1.09 | 1.08 | 0.71 | 0.69 | 0.91 | 0.96 | 0.98 | 0.91 | 1.05 | 0.90 | |||||||
| Super Micro Computer Inc. | 2.62 | 2.04 | 2.21 | 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 | |||||||
Based on: 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-K (reporting date: 2025-09-27), 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).
1 Q2 2026 Calculation
Working capital turnover
= (Net salesQ2 2026
+ Net salesQ1 2026
+ Net salesQ4 2025
+ Net salesQ3 2025)
÷ Working capital
= (111,184 + 143,756 + 102,466 + 94,036)
÷ 9,473 = 47.66
2 Click competitor name to see calculations.
The analyzed period reveals a significant shift in the management of short-term assets and liabilities, characterized by a transition from positive working capital to frequent negative positions. Despite these fluctuations in liquidity buffers, net sales have maintained a consistent seasonal pattern with an overall upward trajectory, peaking consistently during the December quarters.
- Working Capital Trends
- A marked decline in working capital is observed from December 2020, where it stood at 21,599 million USD, moving into negative territory by March 2022. The most pronounced deficits occurred between September 2024 and March 2025, reaching a low of -25,897 million USD. This pattern indicates a transition toward a negative working capital model, which typically suggests that current liabilities are used to finance operations, often reflecting strong supplier credit terms and high inventory turnover.
- Net Sales Performance
- Revenue exhibits a stable and recurring seasonal cycle. Sales grew from 111,439 million USD in December 2020 to a peak of 143,756 million USD in December 2025. The ability to sustain and grow these sales volumes while operating with negative working capital for extended periods suggests a highly efficient operational cycle.
- Working Capital Turnover Analysis
- The turnover ratio demonstrates extreme volatility, increasing from 13.62 in December 2020 to 83.07 in March 2024. The gaps in ratio reporting coincide with periods of negative working capital, as the metric becomes less meaningful when current liabilities exceed current assets. During the periods where the ratio was positive, the high values indicate an aggressive efficiency in leveraging short-term capital to generate sales.
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Average Inventory Processing Period
| Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Inventory turnover | 34.89 | 39.06 | 38.64 | 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 | |||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
| Average inventory processing period1 | 10 | 9 | 9 | 10 | 11 | 12 | 13 | 11 | 11 | 11 | 11 | 12 | 12 | 11 | 8 | 9 | 9 | 10 | 11 | 9 | 10 | 10 | |||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||||||
| Arista Networks Inc. | — | 245 | 253 | 261 | 264 | 268 | 267 | 274 | 298 | 328 | 318 | 315 | 325 | 318 | 276 | 268 | 239 | 221 | — | — | — | — | |||||||
| Cisco Systems Inc. | 69 | 61 | 58 | 53 | 57 | 62 | 65 | 58 | 57 | 58 | 63 | 61 | 57 | 49 | 49 | 43 | 40 | 36 | 32 | 33 | 30 | 28 | |||||||
| Dell Technologies Inc. | 33 | 36 | 33 | 33 | 31 | 25 | 20 | 18 | 18 | 19 | 22 | 27 | 25 | 28 | 27 | 27 | 22 | 21 | — | — | — | — | |||||||
| Lumentum Holdings Inc. | 157 | 162 | 156 | 149 | 142 | 142 | 142 | 146 | 169 | 148 | 134 | 139 | 129 | 142 | 106 | 96 | 89 | 87 | 80 | 85 | 83 | 83 | |||||||
| Super Micro Computer Inc. | 150 | 110 | 87 | 74 | 72 | 110 | 122 | 152 | 116 | 123 | 90 | 105 | 95 | 127 | 128 | 146 | 141 | 132 | 126 | 115 | 108 | 102 | |||||||
Based on: 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-K (reporting date: 2025-09-27), 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).
1 Q2 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 34.89 = 10
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a high level of efficiency in inventory management, characterized by a rapid turnover rate and a consistently low processing period. The operational cycle remains lean, with the inventory processing period fluctuating within a narrow range of 8 to 13 days over the observed timeframe.
- Inventory Turnover Trends
- The inventory turnover ratio exhibited significant volatility, reaching a peak of 45.20 in September 2022. Following this peak, a general downward trend was observed, reaching a minimum of 28.87 in September 2024. However, a recovery phase began in late 2024 and continued through 2025, with the ratio climbing back to 39.06 by September 2025 before settling at 34.89 in March 2026.
- Average Inventory Processing Period Dynamics
- The processing period mirrored the inverse movements of the turnover ratio. The highest efficiency was recorded in September 2022, where the period dropped to 8 days. Conversely, the longest duration for inventory processing occurred in September 2024, peaking at 13 days. For the majority of the period between December 2020 and March 2026, the processing time remained stable between 9 and 12 days.
A strong inverse correlation is evident between the turnover ratio and the processing period. The period of lowest operational efficiency in September 2024 coincides precisely with the lowest turnover ratio, suggesting a temporary slowdown in inventory movement. The subsequent return to a 9-to-10-day processing window by late 2025 indicates a restoration of previous operational benchmarks.
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Average Receivable Collection Period
| Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Receivables turnover | 14.88 | 10.91 | 10.46 | 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 | |||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
| Average receivable collection period1 | 25 | 33 | 35 | 25 | 24 | 27 | 31 | 22 | 21 | 22 | 28 | 19 | 17 | 22 | 26 | 21 | 20 | 29 | 26 | 18 | 21 | 34 | |||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||
| Arista Networks Inc. | — | 72 | 76 | 64 | 75 | 70 | 59 | 62 | 71 | 65 | 64 | 54 | 54 | 65 | 77 | 61 | 61 | 75 | — | — | — | — | |||||||
| Cisco Systems Inc. | 41 | 31 | 43 | 35 | 38 | 31 | 45 | 34 | 31 | 30 | 37 | 34 | 36 | 38 | 47 | 41 | 43 | 38 | 42 | 33 | 33 | 30 | |||||||
| Dell Technologies Inc. | 54 | 37 | 39 | 43 | 45 | 35 | 39 | 39 | 40 | 35 | 45 | 40 | 46 | 41 | 47 | 52 | 49 | 42 | — | — | — | — | |||||||
| Lumentum Holdings Inc. | 65 | 61 | 55 | 63 | 59 | 53 | 52 | 59 | 63 | 51 | 51 | 56 | 66 | 70 | 56 | 53 | 51 | 55 | 45 | 48 | 59 | 57 | |||||||
| Super Micro Computer Inc. | 143 | 44 | 37 | 45 | 54 | 53 | 67 | 51 | 59 | 42 | 59 | 37 | 42 | 45 | 59 | 54 | 44 | 44 | 48 | 44 | 36 | 36 | |||||||
Based on: 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-K (reporting date: 2025-09-27), 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).
1 Q2 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 14.88 = 25
2 Click competitor name to see calculations.
Analysis of short-term operating activity indicates a cyclical pattern in the efficiency of receivable collections from December 2020 through March 2026.
- Receivables Turnover Efficiency
- The turnover ratio exhibited significant volatility, ranging from a minimum of 10.46 to a maximum of 21.47. The peak efficiency occurred on April 1, 2023, indicating an accelerated conversion of credit sales into cash during that period.
- Average Receivable Collection Period Trends
- The collection period fluctuated between 17 and 35 days. An initial phase of high efficiency was observed between March 2021 and March 2022, where the period remained consistently low, often around 20 days. A subsequent decline in collection efficiency is evident from late 2023 through September 2025, during which the collection period extended to a peak of 35 days.
- Recent Performance and Stabilization
- Following the peak in the collection period in September 2025, a downward trend is observed, with the duration decreasing to 25 days by March 2026. This movement suggests a recent improvement in the velocity of cash inflows from receivables after a period of relative deceleration.
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Operating Cycle
| Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Average inventory processing period | 10 | 9 | 9 | 10 | 11 | 12 | 13 | 11 | 11 | 11 | 11 | 12 | 12 | 11 | 8 | 9 | 9 | 10 | 11 | 9 | 10 | 10 | |||||||
| Average receivable collection period | 25 | 33 | 35 | 25 | 24 | 27 | 31 | 22 | 21 | 22 | 28 | 19 | 17 | 22 | 26 | 21 | 20 | 29 | 26 | 18 | 21 | 34 | |||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Operating cycle1 | 35 | 42 | 44 | 35 | 35 | 39 | 44 | 33 | 32 | 33 | 39 | 31 | 29 | 33 | 34 | 30 | 29 | 39 | 37 | 27 | 31 | 44 | |||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||||||||||
| Arista Networks Inc. | — | 317 | 329 | 325 | 339 | 338 | 326 | 336 | 369 | 393 | 382 | 369 | 379 | 383 | 353 | 329 | 300 | 296 | — | — | — | — | |||||||
| Cisco Systems Inc. | 110 | 92 | 101 | 88 | 95 | 93 | 110 | 92 | 88 | 88 | 100 | 95 | 93 | 87 | 96 | 84 | 83 | 74 | 74 | 66 | 63 | 58 | |||||||
| Dell Technologies Inc. | 87 | 73 | 72 | 76 | 76 | 60 | 59 | 57 | 58 | 54 | 67 | 67 | 71 | 69 | 74 | 79 | 71 | 63 | — | — | — | — | |||||||
| Lumentum Holdings Inc. | 222 | 223 | 211 | 212 | 201 | 195 | 194 | 205 | 232 | 199 | 185 | 195 | 195 | 212 | 162 | 149 | 140 | 142 | 125 | 133 | 142 | 140 | |||||||
| Super Micro Computer Inc. | 293 | 154 | 124 | 119 | 126 | 163 | 189 | 203 | 175 | 165 | 149 | 142 | 137 | 172 | 187 | 200 | 185 | 176 | 174 | 159 | 144 | 138 | |||||||
Based on: 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-K (reporting date: 2025-09-27), 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).
1 Q2 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 10 + 25 = 35
2 Click competitor name to see calculations.
The operating cycle exhibits a cyclical pattern characterized by significant fluctuations in receivable collection times and a high degree of stability in inventory management. The overall cycle length fluctuates between a minimum of 27 days and a maximum of 44 days, indicating a generally efficient conversion of resources into cash, although volatility is evident in the latter half of the observed period.
- Average Inventory Processing Period
- Inventory management remains exceptionally lean and consistent, with the processing period typically hovering between 9 and 11 days. A marginal increase is observed between December 2022 and June 2024, where the period peaked at 13 days, before returning to a range of 9 to 10 days by late 2025 and early 2026. This stability suggests a highly optimized just-in-time inventory system with minimal variance across quarterly periods.
- Average Receivable Collection Period
- The collection period demonstrates the highest level of volatility within the short-term activity ratios. Significant contractions are noted in March 2021 (21 days) and April 2023 (17 days), reflecting periods of rapid cash conversion. However, a notable upward trend emerges toward the end of the timeline, with peaks of 31 days in September 2024 and 35 days in September 2025. This suggests an expansion in the time required to collect payments from customers or a shift in credit terms during these intervals.
- Operating Cycle
- The total operating cycle is primarily driven by the receivable collection period, as the inventory component remains relatively static. The cycle shows recurring peaks in September of 2021, 2024, and 2025, where the duration reached 37, 44, and 44 days respectively. These peaks correlate directly with the increases in the receivable collection period. Conversely, the shortest operating cycles were recorded in early 2021 and early 2023, indicating periods of maximum operational efficiency in converting inventory and receivables into cash.
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Average Payables Payment Period
| Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Payables turnover | 4.10 | 3.25 | 3.16 | 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 | |||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
| Average payables payment period1 | 89 | 112 | 115 | 84 | 92 | 107 | 120 | 83 | 80 | 100 | 107 | 79 | 72 | 96 | 105 | 80 | 88 | 126 | 94 | 72 | 75 | 129 | |||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | |||||||||||||||||||||||||||||
| Arista Networks Inc. | — | 63 | 73 | 58 | 70 | 53 | 55 | 45 | 48 | 36 | 71 | 45 | 61 | 62 | 50 | 68 | 77 | 65 | — | — | — | — | |||||||
| Cisco Systems Inc. | 49 | 44 | 46 | 43 | 37 | 39 | 44 | 38 | 33 | 36 | 40 | 43 | 42 | 43 | 43 | 44 | 41 | 45 | 48 | 51 | 40 | 48 | |||||||
| Dell Technologies Inc. | 125 | 123 | 102 | 117 | 124 | 109 | 105 | 102 | 102 | 86 | 85 | 99 | 109 | 113 | 125 | 130 | 120 | 117 | — | — | — | — | |||||||
| Lumentum Holdings Inc. | 96 | 85 | 75 | 69 | 65 | 57 | 45 | 46 | 58 | 47 | 56 | 67 | 72 | 80 | 66 | 54 | 50 | 43 | 48 | 42 | 44 | 57 | |||||||
| Super Micro Computer Inc. | 195 | 25 | 24 | 12 | 11 | 38 | 42 | 40 | 60 | 65 | 49 | 44 | 37 | 57 | 54 | 72 | 70 | 63 | 74 | 59 | 53 | 44 | |||||||
Based on: 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-K (reporting date: 2025-09-27), 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).
1 Q2 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 4.10 = 89
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a pronounced cyclical pattern in the management of accounts payable. There is a consistent inverse correlation between the payables turnover ratio and the average payables payment period, indicating a strategic fluctuation in how supplier obligations are settled throughout the fiscal year.
- Payables Turnover Dynamics
- The payables turnover ratio exhibits significant volatility, fluctuating between a low of 2.82 in December 2020 and a peak of 5.10 in April 2023. Higher turnover rates are generally observed during the first and second quarters of the calendar year, suggesting a more rapid settlement of supplier invoices during these periods.
- Average Payables Payment Period Trends
- The payment period ranges from a minimum of 72 days (observed in June 2021 and April 2023) to a maximum of 129 days in December 2020. A recurring trend is evident where the payment period extends significantly during the latter half of the year, often exceeding 100 days by September or December, before contracting in the subsequent spring months.
- Seasonal Cyclicality and Working Capital Management
- A systemic seasonal rhythm is observable across the provided timeframe. The extension of the payment period toward the end of the year indicates a strategic increase in the use of supplier credit, which effectively preserves cash liquidity during peak operational periods. This is followed by a consistent reduction in the payment period during the March-June window, reflecting a periodic acceleration of outflows to suppliers.
- Long-term Stability
- Despite the quarterly fluctuations, the payment period maintains a consistent baseline, generally oscillating between 70 and 130 days. This stability suggests a well-established credit relationship with suppliers and a disciplined approach to managing short-term operating liabilities over the observed multi-year period.
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Cash Conversion Cycle
| Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Average inventory processing period | 10 | 9 | 9 | 10 | 11 | 12 | 13 | 11 | 11 | 11 | 11 | 12 | 12 | 11 | 8 | 9 | 9 | 10 | 11 | 9 | 10 | 10 | |||||||
| Average receivable collection period | 25 | 33 | 35 | 25 | 24 | 27 | 31 | 22 | 21 | 22 | 28 | 19 | 17 | 22 | 26 | 21 | 20 | 29 | 26 | 18 | 21 | 34 | |||||||
| Average payables payment period | 89 | 112 | 115 | 84 | 92 | 107 | 120 | 83 | 80 | 100 | 107 | 79 | 72 | 96 | 105 | 80 | 88 | 126 | 94 | 72 | 75 | 129 | |||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Cash conversion cycle1 | -54 | -70 | -71 | -49 | -57 | -68 | -76 | -50 | -48 | -67 | -68 | -48 | -43 | -63 | -71 | -50 | -59 | -87 | -57 | -45 | -44 | -85 | |||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Cash Conversion Cycle, Competitors2 | |||||||||||||||||||||||||||||
| Arista Networks Inc. | — | 254 | 256 | 267 | 269 | 285 | 271 | 291 | 321 | 357 | 311 | 324 | 318 | 321 | 303 | 261 | 223 | 231 | — | — | — | — | |||||||
| Cisco Systems Inc. | 61 | 48 | 55 | 45 | 58 | 54 | 66 | 54 | 55 | 52 | 60 | 52 | 51 | 44 | 53 | 40 | 42 | 29 | 26 | 15 | 23 | 10 | |||||||
| Dell Technologies Inc. | -38 | -50 | -30 | -41 | -48 | -49 | -46 | -45 | -44 | -32 | -18 | -32 | -38 | -44 | -51 | -51 | -49 | -54 | — | — | — | — | |||||||
| Lumentum Holdings Inc. | 126 | 138 | 136 | 143 | 136 | 138 | 149 | 159 | 174 | 152 | 129 | 128 | 123 | 132 | 96 | 95 | 90 | 99 | 77 | 91 | 98 | 83 | |||||||
| Super Micro Computer Inc. | 98 | 129 | 100 | 107 | 115 | 125 | 147 | 163 | 115 | 100 | 100 | 98 | 100 | 115 | 133 | 128 | 115 | 113 | 100 | 100 | 91 | 94 | |||||||
Based on: 10-Q (reporting date: 2026-03-28), 10-Q (reporting date: 2025-12-27), 10-K (reporting date: 2025-09-27), 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).
1 Q2 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 10 + 25 – 89 = -54
2 Click competitor name to see calculations.
The analyzed period is characterized by a consistently negative cash conversion cycle, indicating a highly efficient working capital management strategy. The entity effectively generates cash from sales before payments to suppliers are required, essentially utilizing supplier financing to fund operations.
- Average Inventory Processing Period
- Inventory management remains exceptionally lean and stable, with the processing period fluctuating within a narrow range of 8 to 13 days. A slight increase is observed between April 2023 and June 2024, peaking at 13 days in September 2024, before returning to a range of 9 to 11 days through March 2026. This stability suggests a highly optimized supply chain with minimal stockpiling.
- Average Receivable Collection Period
- Receivable collections exhibit moderate volatility and clear seasonality, ranging from a low of 17 days in April 2023 to a peak of 35 days in September 2025. There is a recurring pattern of extension in the collection period during the third and fourth quarters of the calendar year, suggesting seasonal shifts in credit terms or sales volume during peak demand periods.
- Average Payables Payment Period
- The payables payment period is the primary driver of the negative cash conversion cycle, showing significant fluctuations between 72 and 129 days. Marked peaks occurred in December 2020 (129 days), December 2021 (126 days), and September 2024 (120 days). These extended terms demonstrate substantial leverage over suppliers, allowing the entity to defer cash outflows significantly.
- Cash Conversion Cycle Dynamics
- The cash conversion cycle remains negative throughout the entire timeframe, oscillating between -43 days and -87 days. The most aggressive negative positions typically coincide with peaks in the payables payment period, particularly in December and September. While the cycle narrowed slightly during early 2023, it returned to more significant negative values by late 2024 and 2025, reinforcing a structural reliance on negative working capital to enhance liquidity.
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