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-K (reporting date: 2026-01-30), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-08-01), 10-Q (reporting date: 2025-05-02), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-11-01), 10-Q (reporting date: 2024-08-02), 10-Q (reporting date: 2024-05-03), 10-K (reporting date: 2024-02-02), 10-Q (reporting date: 2023-11-03), 10-Q (reporting date: 2023-08-04), 10-Q (reporting date: 2023-05-05), 10-K (reporting date: 2023-02-03), 10-Q (reporting date: 2022-10-28), 10-Q (reporting date: 2022-07-29), 10-Q (reporting date: 2022-04-29), 10-K (reporting date: 2022-01-28), 10-Q (reporting date: 2021-10-29), 10-Q (reporting date: 2021-07-30), 10-Q (reporting date: 2021-04-30).
An examination of short-term operating activity ratios reveals fluctuating performance over the analyzed period. Inventory turnover generally increased from early 2021 through the first half of 2023, peaking at 20.66, before declining significantly to 8.70 by January 2026. Receivables turnover exhibited a similar pattern of initial decline followed by improvement, reaching a high of 10.48 in early 2022, then decreasing to 6.46 by the end of the period. Payables turnover demonstrated an upward trend through early 2023, peaking at 4.28, followed by a decline to 2.70 in the final period. The average inventory processing period generally lengthened over the observed timeframe, increasing from 21 days to 42 days. The average receivable collection period also increased overall, moving from 42 days to 57 days. The average payables payment period showed a substantial increase from 117 days to 135 days over the period.
- Inventory Management
- Inventory turnover initially decreased from April 2021 to October 2021, indicating a slower rate of inventory sales. A subsequent recovery occurred through August 2023, suggesting improved inventory management efficiency. However, a marked decline in inventory turnover from May 2024 onwards indicates a potential slowdown in sales or an increase in inventory levels. The average inventory processing period reflects this trend, increasing from 21 days to 42 days, suggesting inventory is taking longer to sell.
- Receivables Management
- Receivables turnover fluctuated, with a peak in early 2022. The subsequent decline suggests a lengthening of the time it takes to collect receivables. The average receivable collection period corroborates this, increasing from 42 days to 57 days, indicating a potential issue with credit policies or collection efforts. A significant drop in receivables turnover in the final periods suggests a worsening of this trend.
- Payables Management
- Payables turnover increased through early 2023, indicating the company was paying its suppliers more quickly. However, a subsequent decrease suggests a lengthening of payment terms. The average payables payment period increased substantially, from 117 days to 135 days, indicating the company is taking longer to pay its suppliers. This could be a strategic decision to manage cash flow, but it also carries the risk of strained supplier relationships.
- Cash Conversion Cycle
- The cash conversion cycle initially showed negative values, indicating the company received cash from customers before paying its suppliers. This trend improved through early 2023. However, the cycle became less negative and ultimately positive, suggesting a lengthening of the time it takes to convert investments in inventory and receivables into cash. The cycle increased to 36 days by January 2026, indicating a potential strain on liquidity.
- Overall Operating Efficiency
- The observed trends suggest a deterioration in overall operating efficiency towards the end of the analyzed period. While initial periods showed improvements in inventory and receivables management, the later periods demonstrate a weakening of these metrics, coupled with a lengthening of the payables payment period and a less favorable cash conversion cycle. These changes warrant further investigation to identify the underlying causes and implement corrective actions.
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Turnover Ratios
Average No. Days
Inventory Turnover
| Jan 30, 2026 | Oct 31, 2025 | Aug 1, 2025 | May 2, 2025 | Jan 31, 2025 | Nov 1, 2024 | Aug 2, 2024 | May 3, 2024 | Feb 2, 2024 | Nov 3, 2023 | Aug 4, 2023 | May 5, 2023 | Feb 3, 2023 | Oct 28, 2022 | Jul 29, 2022 | Apr 29, 2022 | Jan 28, 2022 | Oct 29, 2021 | Jul 30, 2021 | Apr 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||
| Cost of net revenue | 26,649) | 21,412) | 24,329) | 18,441) | 18,253) | 19,006) | 19,665) | 17,393) | 17,002) | 17,103) | 17,547) | 15,904) | 19,283) | 19,014) | 20,986) | 20,332) | 22,374) | 20,890) | 18,716) | 17,326) | ||||||
| Inventories | 10,437) | 6,949) | 7,211) | 7,415) | 6,716) | 6,652) | 5,953) | 4,782) | 3,622) | 3,381) | 3,584) | 4,016) | 4,776) | 6,172) | 5,883) | 6,277) | 5,898) | 5,442) | 4,223) | 3,828) | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Inventory turnover1 | 8.70 | 11.86 | 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 | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | — | — | — | 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 | ||||||
| Arista Networks Inc. | — | — | — | — | 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 | ||||||
| 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 | ||||||
Based on: 10-K (reporting date: 2026-01-30), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-08-01), 10-Q (reporting date: 2025-05-02), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-11-01), 10-Q (reporting date: 2024-08-02), 10-Q (reporting date: 2024-05-03), 10-K (reporting date: 2024-02-02), 10-Q (reporting date: 2023-11-03), 10-Q (reporting date: 2023-08-04), 10-Q (reporting date: 2023-05-05), 10-K (reporting date: 2023-02-03), 10-Q (reporting date: 2022-10-28), 10-Q (reporting date: 2022-07-29), 10-Q (reporting date: 2022-04-29), 10-K (reporting date: 2022-01-28), 10-Q (reporting date: 2021-10-29), 10-Q (reporting date: 2021-07-30), 10-Q (reporting date: 2021-04-30).
1 Q4 2026 Calculation
Inventory turnover
= (Cost of net revenueQ4 2026
+ Cost of net revenueQ3 2026
+ Cost of net revenueQ2 2026
+ Cost of net revenueQ1 2026)
÷ Inventories
= (26,649 + 21,412 + 24,329 + 18,441)
÷ 10,437 = 8.70
2 Click competitor name to see calculations.
The inventory turnover ratio exhibits fluctuations over the observed period, generally decreasing from early 2021 before a partial recovery and subsequent decline again towards the end of the period. Initial values indicate a relatively efficient inventory management system, but this efficiency appears to have diminished over time.
- Overall Trend
- From April 2021 to May 2023, the inventory turnover ratio generally decreased, although with some intermittent increases. A notable increase is observed from May 2023 to August 2023, followed by a significant decline through February 2026. The ratio begins at 17.53 and ends at 8.70, representing a substantial decrease over the entire period.
- Initial Decline (Apr 30, 2021 – Oct 28, 2022)
- The ratio decreased from 17.53 in April 2021 to 13.40 in October 2022. This suggests a slowing in the rate at which inventory is sold and replenished. This period coincides with increasing inventory levels, as evidenced by the rise in reported inventories from US$3,828 million to US$6,172 million.
- Temporary Recovery (Feb 3, 2023 – Aug 4, 2023)
- A period of improvement is observed between February 2023 and August 2023, with the ratio increasing from 16.67 to 20.02. This coincides with a decrease in inventory levels from US$4,776 million to US$3,584 million, indicating improved inventory management during this timeframe. Cost of net revenue also decreased during this period, potentially contributing to the higher turnover.
- Subsequent Decline (Nov 3, 2023 – Jan 30, 2026)
- Following the peak in August 2023, the ratio experiences a marked decline, reaching 8.70 by January 2026. This decline is accompanied by a substantial increase in inventory levels, rising from US$3,381 million to US$10,437 million. Simultaneously, cost of net revenue increased significantly, particularly in the final periods, exacerbating the decline in turnover. This suggests a potential build-up of inventory, possibly due to decreased sales or overproduction.
- Cost of Net Revenue Correlation
- Generally, increases in cost of net revenue are associated with either stable or decreasing inventory turnover, and vice versa. However, the relationship isn't perfectly consistent, suggesting other factors influence inventory management.
The observed trends suggest a weakening in inventory management efficiency over the analyzed period, particularly in the latter half. The significant increase in inventory holdings coupled with the declining turnover ratio warrants further investigation to determine the underlying causes and potential implications for profitability and working capital management.
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Receivables Turnover
| Jan 30, 2026 | Oct 31, 2025 | Aug 1, 2025 | May 2, 2025 | Jan 31, 2025 | Nov 1, 2024 | Aug 2, 2024 | May 3, 2024 | Feb 2, 2024 | Nov 3, 2023 | Aug 4, 2023 | May 5, 2023 | Feb 3, 2023 | Oct 28, 2022 | Jul 29, 2022 | Apr 29, 2022 | Jan 28, 2022 | Oct 29, 2021 | Jul 30, 2021 | Apr 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||
| Net revenue | 33,379) | 27,005) | 29,776) | 23,378) | 23,931) | 24,366) | 25,026) | 22,244) | 22,318) | 22,251) | 22,934) | 20,922) | 25,039) | 24,721) | 26,425) | 26,116) | 27,992) | 26,424) | 24,191) | 22,590) | ||||||
| Accounts receivable, net of allowance | 17,585) | 11,721) | 15,023) | 9,785) | 10,298) | 11,189) | 11,391) | 8,563) | 9,343) | 9,720) | 10,351) | 9,399) | 12,482) | 11,431) | 13,431) | 11,837) | 12,912) | 14,177) | 12,914) | 10,909) | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Receivables turnover1 | 6.46 | 8.88 | 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 | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | — | — | — | 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 | ||||||
| Arista Networks Inc. | — | — | — | — | 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 | ||||||
| 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 | ||||||
Based on: 10-K (reporting date: 2026-01-30), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-08-01), 10-Q (reporting date: 2025-05-02), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-11-01), 10-Q (reporting date: 2024-08-02), 10-Q (reporting date: 2024-05-03), 10-K (reporting date: 2024-02-02), 10-Q (reporting date: 2023-11-03), 10-Q (reporting date: 2023-08-04), 10-Q (reporting date: 2023-05-05), 10-K (reporting date: 2023-02-03), 10-Q (reporting date: 2022-10-28), 10-Q (reporting date: 2022-07-29), 10-Q (reporting date: 2022-04-29), 10-K (reporting date: 2022-01-28), 10-Q (reporting date: 2021-10-29), 10-Q (reporting date: 2021-07-30), 10-Q (reporting date: 2021-04-30).
1 Q4 2026 Calculation
Receivables turnover
= (Net revenueQ4 2026
+ Net revenueQ3 2026
+ Net revenueQ2 2026
+ Net revenueQ1 2026)
÷ Accounts receivable, net of allowance
= (33,379 + 27,005 + 29,776 + 23,378)
÷ 17,585 = 6.46
2 Click competitor name to see calculations.
The receivables turnover ratio exhibits fluctuations over the observed period, generally indicating changes in the efficiency with which the company converts its receivables into cash. An initial decline is followed by periods of relative stability and then further variability.
- Overall Trend
- The receivables turnover ratio began at 8.70 in April 2021 and demonstrated a decreasing trend through October 2021, reaching a low of 7.01. It then recovered to 8.85 by April 2022, before fluctuating between approximately 7.96 and 9.46 through November 2023. A significant drop to 6.75 was observed in May 2025, followed by a rebound to 8.88 in August 2025, and a subsequent decline to 6.46 in January 2026.
- Initial Decline (Apr 2021 - Oct 2021)
- The initial decrease in the receivables turnover ratio from 8.70 to 7.01 suggests a lengthening of the collection period during this timeframe. This could be attributed to changes in credit policies, slower customer payments, or a shift in the customer mix towards those with longer payment terms. The decline occurred alongside increasing net revenue, indicating that sales growth was not translating directly into faster cash collection.
- Recovery and Stability (Jan 2022 - Nov 2023)
- From January 2022 through November 2023, the ratio stabilized within a range of 7.84 to 9.46. This period suggests improved efficiency in managing receivables, potentially due to tightened credit controls or more effective collection efforts. The ratio remained relatively consistent despite fluctuations in net revenue, indicating a more predictable collection cycle.
- Recent Volatility (May 2024 - Jan 2026)
- The period from May 2024 to January 2026 demonstrates increased volatility. The ratio decreased from 8.06 in May 2024 to 6.46 in January 2026, with a temporary increase to 8.88 in August 2025. This recent fluctuation warrants further investigation. The significant drop in May 2025, followed by a partial recovery, and then another decline, could indicate emerging issues with receivables management, potentially linked to economic conditions or specific customer challenges. The increase in accounts receivable, net of allowance, during this period supports this observation.
- Correlation with Net Revenue
- While not consistently direct, there appears to be some correlation between net revenue and receivables turnover. Periods of higher revenue do not always correspond to higher turnover ratios, and vice versa. This suggests that factors beyond sales volume, such as credit terms and collection effectiveness, significantly influence the ratio.
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Payables Turnover
| Jan 30, 2026 | Oct 31, 2025 | Aug 1, 2025 | May 2, 2025 | Jan 31, 2025 | Nov 1, 2024 | Aug 2, 2024 | May 3, 2024 | Feb 2, 2024 | Nov 3, 2023 | Aug 4, 2023 | May 5, 2023 | Feb 3, 2023 | Oct 28, 2022 | Jul 29, 2022 | Apr 29, 2022 | Jan 28, 2022 | Oct 29, 2021 | Jul 30, 2021 | Apr 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||
| Cost of net revenue | 26,649) | 21,412) | 24,329) | 18,441) | 18,253) | 19,006) | 19,665) | 17,393) | 17,002) | 17,103) | 17,547) | 15,904) | 19,283) | 19,014) | 20,986) | 20,332) | 22,374) | 20,890) | 18,716) | 17,326) | ||||||
| Accounts payable | 33,630) | 23,794) | 27,463) | 25,349) | 20,832) | 23,400) | 24,095) | 20,586) | 19,389) | 19,478) | 19,969) | 17,796) | 18,598) | 22,507) | 25,339) | 25,585) | 27,143) | 26,772) | 23,029) | 21,545) | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Payables turnover1 | 2.70 | 3.46 | 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 | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | — | — | — | 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 | ||||||
| Arista Networks Inc. | — | — | — | — | 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 | ||||||
| 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 | ||||||
Based on: 10-K (reporting date: 2026-01-30), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-08-01), 10-Q (reporting date: 2025-05-02), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-11-01), 10-Q (reporting date: 2024-08-02), 10-Q (reporting date: 2024-05-03), 10-K (reporting date: 2024-02-02), 10-Q (reporting date: 2023-11-03), 10-Q (reporting date: 2023-08-04), 10-Q (reporting date: 2023-05-05), 10-K (reporting date: 2023-02-03), 10-Q (reporting date: 2022-10-28), 10-Q (reporting date: 2022-07-29), 10-Q (reporting date: 2022-04-29), 10-K (reporting date: 2022-01-28), 10-Q (reporting date: 2021-10-29), 10-Q (reporting date: 2021-07-30), 10-Q (reporting date: 2021-04-30).
1 Q4 2026 Calculation
Payables turnover
= (Cost of net revenueQ4 2026
+ Cost of net revenueQ3 2026
+ Cost of net revenueQ2 2026
+ Cost of net revenueQ1 2026)
÷ Accounts payable
= (26,649 + 21,412 + 24,329 + 18,441)
÷ 33,630 = 2.70
2 Click competitor name to see calculations.
The accounts payable turnover ratio for the analyzed period demonstrates fluctuations, generally ranging between 2.70 and 4.28. An initial decline is observed from the first four periods, followed by an increase, and then a subsequent decrease towards the end of the observed timeframe.
- Initial Trend (Apr 30, 2021 – Jan 28, 2022)
- The payables turnover ratio begins at 3.11 and experiences a slight decrease to 3.05, followed by a more pronounced decline to 2.80. A modest recovery to 2.92 is then noted. This initial period suggests a potential lengthening of the time taken to pay suppliers, or a relative increase in accounts payable compared to cost of net revenue.
- Subsequent Increase (Apr 29, 2022 – Feb 3, 2023)
- From April 2022 through February 2023, the ratio increases significantly, peaking at 4.28. This indicates a faster rate of paying suppliers, potentially due to improved cash flow management, negotiated payment terms, or a decrease in outstanding payables. The ratio remains relatively high at 4.22 in the subsequent period.
- Recent Decline (May 5, 2023 – Jan 30, 2026)
- Following the peak, the payables turnover ratio exhibits a downward trend. It decreases from 3.59 to 2.70 over the subsequent periods, with fluctuations along the way. The ratio briefly recovers to 3.46 before declining again to 2.70. This suggests a return to a slower payment cycle, potentially influenced by changes in purchasing patterns, supplier relationships, or working capital constraints. The final reported value of 2.70 represents the lowest point in the observed period.
The cost of net revenue generally increased over the period, although with some quarterly variations. Accounts payable also generally increased, but the fluctuations in the turnover ratio suggest that the growth in payables did not consistently align with the changes in cost of net revenue. The most significant increase in the ratio occurred when cost of net revenue was relatively stable, while accounts payable decreased, indicating a more efficient use of credit terms with suppliers.
Overall, the payables turnover ratio demonstrates a cyclical pattern, with periods of increasing and decreasing efficiency in managing supplier payments. The recent decline warrants further investigation to understand the underlying causes and potential implications for the company’s financial health.
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Working Capital Turnover
| Jan 30, 2026 | Oct 31, 2025 | Aug 1, 2025 | May 2, 2025 | Jan 31, 2025 | Nov 1, 2024 | Aug 2, 2024 | May 3, 2024 | Feb 2, 2024 | Nov 3, 2023 | Aug 4, 2023 | May 5, 2023 | Feb 3, 2023 | Oct 28, 2022 | Jul 29, 2022 | Apr 29, 2022 | Jan 28, 2022 | Oct 29, 2021 | Jul 30, 2021 | Apr 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||
| Current assets | 57,602) | 43,102) | 45,512) | 42,925) | 36,229) | 38,035) | 37,543) | 34,627) | 35,947) | 36,987) | 38,999) | 37,392) | 42,351) | 38,787) | 42,262) | 41,376) | 45,033) | 57,179) | 43,555) | 42,339) | ||||||
| Less: Current liabilities | 63,269) | 50,516) | 54,862) | 50,422) | 46,527) | 49,500) | 52,033) | 47,734) | 48,494) | 48,877) | 50,942) | 46,825) | 51,654) | 52,007) | 54,789) | 53,059) | 56,219) | 69,702) | 55,483) | 54,856) | ||||||
| Working capital | (5,667) | (7,414) | (9,350) | (7,497) | (10,298) | (11,465) | (14,490) | (13,107) | (12,547) | (11,890) | (11,943) | (9,433) | (9,303) | (13,220) | (12,527) | (11,683) | (11,186) | (12,523) | (11,928) | (12,517) | ||||||
| Net revenue | 33,379) | 27,005) | 29,776) | 23,378) | 23,931) | 24,366) | 25,026) | 22,244) | 22,318) | 22,251) | 22,934) | 20,922) | 25,039) | 24,721) | 26,425) | 26,116) | 27,992) | 26,424) | 24,191) | 22,590) | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Working capital turnover1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | — | — | — | — | — | — | — | — | — | — | 83.07 | 39.69 | — | — | — | — | — | — | — | 67.80 | ||||||
| Arista Networks Inc. | — | — | — | — | 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 | ||||||
| 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 | ||||||
Based on: 10-K (reporting date: 2026-01-30), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-08-01), 10-Q (reporting date: 2025-05-02), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-11-01), 10-Q (reporting date: 2024-08-02), 10-Q (reporting date: 2024-05-03), 10-K (reporting date: 2024-02-02), 10-Q (reporting date: 2023-11-03), 10-Q (reporting date: 2023-08-04), 10-Q (reporting date: 2023-05-05), 10-K (reporting date: 2023-02-03), 10-Q (reporting date: 2022-10-28), 10-Q (reporting date: 2022-07-29), 10-Q (reporting date: 2022-04-29), 10-K (reporting date: 2022-01-28), 10-Q (reporting date: 2021-10-29), 10-Q (reporting date: 2021-07-30), 10-Q (reporting date: 2021-04-30).
1 Q4 2026 Calculation
Working capital turnover
= (Net revenueQ4 2026
+ Net revenueQ3 2026
+ Net revenueQ2 2026
+ Net revenueQ1 2026)
÷ Working capital
= (33,379 + 27,005 + 29,776 + 23,378)
÷ -5,667 = —
2 Click competitor name to see calculations.
The working capital turnover ratio for the analyzed period demonstrates considerable fluctuation. Initially, the working capital position is consistently negative, indicating a reliance on short-term financing to fund operations. Throughout the observed timeframe, net revenue exhibits variability, influencing the calculated turnover ratio.
- Working Capital Trend
- Working capital remains negative across all reported periods, ranging from approximately -12,517 million to -5,667 million. A general trend towards less negative working capital is observed in the later periods, particularly from February 2023 onwards, suggesting improved short-term financial flexibility. The most significant improvement occurs between May 2023 and January 2026, with working capital moving from -11,943 million to -5,667 million.
- Net Revenue Trend
- Net revenue fluctuates throughout the period, peaking at 33,379 million in January 2026. Prior to this peak, revenue generally remains between 22,000 and 27,000 million, with some quarterly variations. A noticeable decrease in revenue is observed in May 2023 (20,922 million) before recovering in subsequent periods. The substantial increase in revenue in January 2026 likely contributes to the improved working capital turnover observed at that time.
- Working Capital Turnover Ratio
- Due to the consistently negative working capital, the working capital turnover ratio is not meaningfully interpretable in the traditional sense. A positive ratio generally indicates efficient utilization of working capital; however, a negative working capital position renders this metric less relevant. The ratio would be calculated by dividing net revenue by average working capital. While the values are not explicitly provided, the trend in net revenue and working capital suggests that the absolute value of the ratio decreases as working capital becomes less negative, indicating a potentially more efficient use of short-term financing, though still within a context of negative working capital.
The observed patterns suggest a company navigating a dynamic financial landscape. The movement towards less negative working capital, coupled with revenue fluctuations, warrants continued monitoring to assess the sustainability of these trends and their impact on overall financial health.
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Average Inventory Processing Period
| Jan 30, 2026 | Oct 31, 2025 | Aug 1, 2025 | May 2, 2025 | Jan 31, 2025 | Nov 1, 2024 | Aug 2, 2024 | May 3, 2024 | Feb 2, 2024 | Nov 3, 2023 | Aug 4, 2023 | May 5, 2023 | Feb 3, 2023 | Oct 28, 2022 | Jul 29, 2022 | Apr 29, 2022 | Jan 28, 2022 | Oct 29, 2021 | Jul 30, 2021 | Apr 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||
| Inventory turnover | 8.70 | 11.86 | 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 | ||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||
| Average inventory processing period1 | 42 | 31 | 33 | 36 | 33 | 33 | 31 | 25 | 20 | 18 | 18 | 19 | 22 | 27 | 25 | 28 | 27 | 27 | 22 | 21 | ||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | — | — | — | 9 | 9 | 10 | 11 | 12 | 13 | 11 | 11 | 11 | 11 | 12 | 12 | 11 | 8 | 9 | 9 | 10 | ||||||
| Arista Networks Inc. | — | — | — | — | 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 | ||||||
| Super Micro Computer Inc. | — | — | 150 | 110 | 87 | 74 | 72 | 110 | 122 | 152 | 116 | 123 | 90 | 105 | 95 | 127 | 128 | 146 | 141 | 132 | ||||||
Based on: 10-K (reporting date: 2026-01-30), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-08-01), 10-Q (reporting date: 2025-05-02), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-11-01), 10-Q (reporting date: 2024-08-02), 10-Q (reporting date: 2024-05-03), 10-K (reporting date: 2024-02-02), 10-Q (reporting date: 2023-11-03), 10-Q (reporting date: 2023-08-04), 10-Q (reporting date: 2023-05-05), 10-K (reporting date: 2023-02-03), 10-Q (reporting date: 2022-10-28), 10-Q (reporting date: 2022-07-29), 10-Q (reporting date: 2022-04-29), 10-K (reporting date: 2022-01-28), 10-Q (reporting date: 2021-10-29), 10-Q (reporting date: 2021-07-30), 10-Q (reporting date: 2021-04-30).
1 Q4 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 8.70 = 42
2 Click competitor name to see calculations.
The average inventory processing period exhibited fluctuations over the observed timeframe. Initially, the period remained relatively stable before demonstrating a notable increase, followed by a period of decline and subsequent stabilization, and then a final increase.
- Initial Stability and Increase (Apr 30, 2021 – Oct 29, 2021)
- The average inventory processing period began at 21 days and gradually increased to 27 days. This suggests a lengthening in the time required to convert inventory into sales during this period. The increase could be attributed to factors such as slower sales, increased inventory levels, or supply chain disruptions.
- Decline and Stabilization (Jan 28, 2022 – May 5, 2023)
- From 27 days, the average inventory processing period decreased to 19 days, indicating improved inventory management or increased sales velocity. The period then fluctuated between 18 and 25 days, suggesting a stabilization of inventory processing efficiency. This period reflects a more efficient conversion of inventory to sales.
- Subsequent Increase (Aug 4, 2023 – Jan 30, 2026)
- Beginning at 18 days, the average inventory processing period increased steadily, reaching 33 days by January 30, 2026, with a peak of 36 days in May 2025. This represents a significant lengthening of the inventory cycle. This trend could indicate slowing sales, a build-up of inventory, or potential challenges in demand forecasting. The final measurement shows a slight decrease to 31 days, but remains elevated compared to earlier periods.
- Overall Trend
- The overall trend demonstrates an initial period of stability, followed by an increase, a subsequent period of improvement, and a final, more pronounced increase. The latter increase is particularly noteworthy, suggesting a potential shift in operational efficiency or market conditions impacting inventory turnover.
The fluctuations in the average inventory processing period warrant further investigation to determine the underlying causes and potential implications for working capital management and overall profitability.
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Average Receivable Collection Period
| Jan 30, 2026 | Oct 31, 2025 | Aug 1, 2025 | May 2, 2025 | Jan 31, 2025 | Nov 1, 2024 | Aug 2, 2024 | May 3, 2024 | Feb 2, 2024 | Nov 3, 2023 | Aug 4, 2023 | May 5, 2023 | Feb 3, 2023 | Oct 28, 2022 | Jul 29, 2022 | Apr 29, 2022 | Jan 28, 2022 | Oct 29, 2021 | Jul 30, 2021 | Apr 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||
| Receivables turnover | 6.46 | 8.88 | 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 | ||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||
| Average receivable collection period1 | 57 | 41 | 54 | 37 | 39 | 43 | 45 | 35 | 39 | 39 | 40 | 35 | 45 | 40 | 46 | 41 | 47 | 52 | 49 | 42 | ||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | — | — | — | 33 | 35 | 25 | 24 | 27 | 31 | 22 | 21 | 22 | 28 | 19 | 17 | 22 | 26 | 21 | 20 | 29 | ||||||
| Arista Networks Inc. | — | — | — | — | 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 | ||||||
| Super Micro Computer Inc. | — | — | 143 | 44 | 37 | 45 | 54 | 53 | 67 | 51 | 59 | 42 | 59 | 37 | 42 | 45 | 59 | 54 | 44 | 44 | ||||||
Based on: 10-K (reporting date: 2026-01-30), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-08-01), 10-Q (reporting date: 2025-05-02), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-11-01), 10-Q (reporting date: 2024-08-02), 10-Q (reporting date: 2024-05-03), 10-K (reporting date: 2024-02-02), 10-Q (reporting date: 2023-11-03), 10-Q (reporting date: 2023-08-04), 10-Q (reporting date: 2023-05-05), 10-K (reporting date: 2023-02-03), 10-Q (reporting date: 2022-10-28), 10-Q (reporting date: 2022-07-29), 10-Q (reporting date: 2022-04-29), 10-K (reporting date: 2022-01-28), 10-Q (reporting date: 2021-10-29), 10-Q (reporting date: 2021-07-30), 10-Q (reporting date: 2021-04-30).
1 Q4 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 6.46 = 57
2 Click competitor name to see calculations.
The average receivable collection period exhibited fluctuations over the observed timeframe. Initially, the period stood at 42 days, increasing to 49 days before peaking at 52 days. Subsequent quarters saw a decrease to 47 days, followed by a further reduction to 41 days. This initial period of volatility gave way to a relatively stable range between 35 and 46 days for several quarters before experiencing another period of increase.
- Overall Trend
- From a low of 35 days, the average collection period generally increased through the end of the observed period, reaching 57 days. While there were periods of stability and even decline, the latter portion of the timeframe demonstrates a clear upward trend. The period concluded at 57 days, representing a significant increase from the earlier observed values.
A notable increase is observed in the collection period during the periods ending in May 2025 (54 days) and November 2025 (57 days). This suggests a potential slowing in the rate at which receivables are being converted into cash during these periods. The lowest collection period observed was 35 days, occurring in two separate quarters, indicating periods of efficient collection practices.
- Recent Performance
- The most recent reported periods show a consistent increase in the average collection period. The period rose from 41 days in August 2025 to 54 days in May 2025 and then to 57 days in November 2025. This sustained increase warrants further investigation to determine the underlying causes, such as changes in credit policies, customer payment behavior, or potential issues with the quality of receivables.
The fluctuations in the average receivable collection period suggest potential variations in the company’s credit and collection policies or changes in customer payment patterns. Monitoring this metric closely is crucial for maintaining healthy cash flow and managing working capital effectively.
- Volatility
- The collection period demonstrated considerable volatility, particularly in the earlier part of the observed period. This suggests that external factors or internal policy changes may have significantly impacted the timing of cash receipts. The recent trend towards increasing collection periods, however, appears more sustained and may indicate a more fundamental shift in collection efficiency.
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Operating Cycle
| Jan 30, 2026 | Oct 31, 2025 | Aug 1, 2025 | May 2, 2025 | Jan 31, 2025 | Nov 1, 2024 | Aug 2, 2024 | May 3, 2024 | Feb 2, 2024 | Nov 3, 2023 | Aug 4, 2023 | May 5, 2023 | Feb 3, 2023 | Oct 28, 2022 | Jul 29, 2022 | Apr 29, 2022 | Jan 28, 2022 | Oct 29, 2021 | Jul 30, 2021 | Apr 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||
| Average inventory processing period | 42 | 31 | 33 | 36 | 33 | 33 | 31 | 25 | 20 | 18 | 18 | 19 | 22 | 27 | 25 | 28 | 27 | 27 | 22 | 21 | ||||||
| Average receivable collection period | 57 | 41 | 54 | 37 | 39 | 43 | 45 | 35 | 39 | 39 | 40 | 35 | 45 | 40 | 46 | 41 | 47 | 52 | 49 | 42 | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Operating cycle1 | 99 | 72 | 87 | 73 | 72 | 76 | 76 | 60 | 59 | 57 | 58 | 54 | 67 | 67 | 71 | 69 | 74 | 79 | 71 | 63 | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Operating Cycle, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | — | — | — | 42 | 44 | 35 | 35 | 39 | 44 | 33 | 32 | 33 | 39 | 31 | 29 | 33 | 34 | 30 | 29 | 39 | ||||||
| Arista Networks Inc. | — | — | — | — | 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 | ||||||
| Super Micro Computer Inc. | — | — | 293 | 154 | 124 | 119 | 126 | 163 | 189 | 203 | 175 | 165 | 149 | 142 | 137 | 172 | 187 | 200 | 185 | 176 | ||||||
Based on: 10-K (reporting date: 2026-01-30), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-08-01), 10-Q (reporting date: 2025-05-02), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-11-01), 10-Q (reporting date: 2024-08-02), 10-Q (reporting date: 2024-05-03), 10-K (reporting date: 2024-02-02), 10-Q (reporting date: 2023-11-03), 10-Q (reporting date: 2023-08-04), 10-Q (reporting date: 2023-05-05), 10-K (reporting date: 2023-02-03), 10-Q (reporting date: 2022-10-28), 10-Q (reporting date: 2022-07-29), 10-Q (reporting date: 2022-04-29), 10-K (reporting date: 2022-01-28), 10-Q (reporting date: 2021-10-29), 10-Q (reporting date: 2021-07-30), 10-Q (reporting date: 2021-04-30).
1 Q4 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 42 + 57 = 99
2 Click competitor name to see calculations.
The operating cycle exhibits fluctuating patterns over the analyzed period. Initially, the cycle lengthened from 63 days in April 2021 to a peak of 79 days in October 2021, before experiencing a decrease to 67 days by October 2022. Subsequently, the cycle generally increased, reaching 99 days in January 2026, with intermittent fluctuations.
- Average Inventory Processing Period
- The average inventory processing period demonstrated a gradual increase from 21 days in April 2021 to 36 days in May 2025, before decreasing to 33 days in August 2025 and further to 31 days in October 2025. A final increase to 42 days is observed in January 2026. This suggests a lengthening time to convert inventory into sales, particularly in the latter half of the period, potentially indicating challenges in inventory management or shifts in sales patterns.
- Average Receivable Collection Period
- The average receivable collection period showed considerable variability. It rose from 42 days in April 2021 to 52 days in October 2021, then decreased to 40 days in October 2022. A subsequent increase to 57 days occurred in January 2026, with a peak of 54 days in August 2025. These fluctuations suggest inconsistencies in the company’s ability to collect payments from customers, potentially influenced by credit policies, customer payment behavior, or economic conditions.
The operating cycle’s movements largely reflect the combined trends of its component parts. The initial lengthening of the cycle in late 2021 was driven by increases in both inventory processing and receivable collection periods. The subsequent increase in the operating cycle towards the end of the analyzed period is primarily attributable to the extended receivable collection period, although the inventory processing period also contributed to this trend. The period from May 2024 to January 2026 shows a notable increase in the operating cycle, warranting further investigation into the underlying causes of the extended collection and processing times.
Overall, the observed trends suggest a potential weakening in the efficiency of short-term operating activities, particularly concerning the collection of receivables. Continued monitoring of these ratios is recommended to identify any persistent issues and implement appropriate corrective measures.
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Average Payables Payment Period
| Jan 30, 2026 | Oct 31, 2025 | Aug 1, 2025 | May 2, 2025 | Jan 31, 2025 | Nov 1, 2024 | Aug 2, 2024 | May 3, 2024 | Feb 2, 2024 | Nov 3, 2023 | Aug 4, 2023 | May 5, 2023 | Feb 3, 2023 | Oct 28, 2022 | Jul 29, 2022 | Apr 29, 2022 | Jan 28, 2022 | Oct 29, 2021 | Jul 30, 2021 | Apr 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||
| Payables turnover | 2.70 | 3.46 | 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 | ||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||
| Average payables payment period1 | 135 | 105 | 125 | 123 | 102 | 117 | 124 | 109 | 105 | 102 | 102 | 86 | 85 | 99 | 109 | 113 | 125 | 130 | 120 | 117 | ||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | — | — | — | 112 | 115 | 84 | 92 | 107 | 120 | 83 | 80 | 100 | 107 | 79 | 72 | 96 | 105 | 80 | 88 | 126 | ||||||
| Arista Networks Inc. | — | — | — | — | 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 | ||||||
| Super Micro Computer Inc. | — | — | 195 | 25 | 24 | 12 | 11 | 38 | 42 | 40 | 60 | 65 | 49 | 44 | 37 | 57 | 54 | 72 | 70 | 63 | ||||||
Based on: 10-K (reporting date: 2026-01-30), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-08-01), 10-Q (reporting date: 2025-05-02), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-11-01), 10-Q (reporting date: 2024-08-02), 10-Q (reporting date: 2024-05-03), 10-K (reporting date: 2024-02-02), 10-Q (reporting date: 2023-11-03), 10-Q (reporting date: 2023-08-04), 10-Q (reporting date: 2023-05-05), 10-K (reporting date: 2023-02-03), 10-Q (reporting date: 2022-10-28), 10-Q (reporting date: 2022-07-29), 10-Q (reporting date: 2022-04-29), 10-K (reporting date: 2022-01-28), 10-Q (reporting date: 2021-10-29), 10-Q (reporting date: 2021-07-30), 10-Q (reporting date: 2021-04-30).
1 Q4 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 2.70 = 135
2 Click competitor name to see calculations.
The average payables payment period exhibited fluctuations over the observed timeframe. Initially, the period increased from 117 days in April 2021 to 130 days in October 2021, before decreasing to 85 days by February 2023. Subsequent periods showed volatility, peaking at 135 days in January 2026.
- Overall Trend
- While there isn't a consistent upward or downward trend, the period generally remained within a range of 85 to 135 days. A period of relative stability was observed between April 2022 and November 2023, with values fluctuating between 102 and 124 days. The most recent periods show an increase, potentially indicating a shift in payment practices or supplier negotiations.
- Initial Increase (Apr 2021 - Oct 2021)
- The increase in the average payables payment period during this period suggests a potential lengthening of the time taken to settle obligations to suppliers. This could be due to a deliberate strategy to manage cash flow, or potentially, emerging difficulties in meeting payment terms.
- Subsequent Decrease (Oct 2021 - Feb 2023)
- The subsequent decrease indicates an improvement in the speed of paying suppliers. This could be a result of improved cash flow management, successful negotiations with suppliers for extended payment terms followed by a return to quicker payments, or a seasonal effect. The lowest point of 85 days in February 2023 represents the most efficient payment performance within the observed period.
- Recent Volatility (Feb 2023 - Jan 2026)
- The period from February 2023 to January 2026 demonstrates increased variability. The period fluctuated between 86 and 135 days. The peak of 135 days in January 2026 warrants further investigation to determine the underlying cause, such as potential supply chain disruptions or changes in supplier credit terms.
In summary, the average payables payment period has been dynamic, with periods of increase and decrease. The recent increase to 135 days suggests a potential area for monitoring and further analysis to understand the reasons behind the change.
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Cash Conversion Cycle
| Jan 30, 2026 | Oct 31, 2025 | Aug 1, 2025 | May 2, 2025 | Jan 31, 2025 | Nov 1, 2024 | Aug 2, 2024 | May 3, 2024 | Feb 2, 2024 | Nov 3, 2023 | Aug 4, 2023 | May 5, 2023 | Feb 3, 2023 | Oct 28, 2022 | Jul 29, 2022 | Apr 29, 2022 | Jan 28, 2022 | Oct 29, 2021 | Jul 30, 2021 | Apr 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||
| Average inventory processing period | 42 | 31 | 33 | 36 | 33 | 33 | 31 | 25 | 20 | 18 | 18 | 19 | 22 | 27 | 25 | 28 | 27 | 27 | 22 | 21 | ||||||
| Average receivable collection period | 57 | 41 | 54 | 37 | 39 | 43 | 45 | 35 | 39 | 39 | 40 | 35 | 45 | 40 | 46 | 41 | 47 | 52 | 49 | 42 | ||||||
| Average payables payment period | 135 | 105 | 125 | 123 | 102 | 117 | 124 | 109 | 105 | 102 | 102 | 86 | 85 | 99 | 109 | 113 | 125 | 130 | 120 | 117 | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Cash conversion cycle1 | -36 | -33 | -38 | -50 | -30 | -41 | -48 | -49 | -46 | -45 | -44 | -32 | -18 | -32 | -38 | -44 | -51 | -51 | -49 | -54 | ||||||
| Benchmarks | ||||||||||||||||||||||||||
| Cash Conversion Cycle, Competitors2 | ||||||||||||||||||||||||||
| Apple Inc. | — | — | — | -70 | -71 | -49 | -57 | -68 | -76 | -50 | -48 | -67 | -68 | -48 | -43 | -63 | -71 | -50 | -59 | -87 | ||||||
| Arista Networks Inc. | — | — | — | — | 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 | ||||||
| Super Micro Computer Inc. | — | — | 98 | 129 | 100 | 107 | 115 | 125 | 147 | 163 | 115 | 100 | 100 | 98 | 100 | 115 | 133 | 128 | 115 | 113 | ||||||
Based on: 10-K (reporting date: 2026-01-30), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-08-01), 10-Q (reporting date: 2025-05-02), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-11-01), 10-Q (reporting date: 2024-08-02), 10-Q (reporting date: 2024-05-03), 10-K (reporting date: 2024-02-02), 10-Q (reporting date: 2023-11-03), 10-Q (reporting date: 2023-08-04), 10-Q (reporting date: 2023-05-05), 10-K (reporting date: 2023-02-03), 10-Q (reporting date: 2022-10-28), 10-Q (reporting date: 2022-07-29), 10-Q (reporting date: 2022-04-29), 10-K (reporting date: 2022-01-28), 10-Q (reporting date: 2021-10-29), 10-Q (reporting date: 2021-07-30), 10-Q (reporting date: 2021-04-30).
1 Q4 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 42 + 57 – 135 = -36
2 Click competitor name to see calculations.
The cash conversion cycle exhibited fluctuations over the analyzed period, generally trending towards improvement, followed by a recent lengthening. The components of the cycle – inventory processing, receivable collection, and payable payment – each demonstrate distinct patterns contributing to the overall trend.
- Average Inventory Processing Period
- The average inventory processing period generally increased from 21 days in April 2021 to 36 days in May 2025, before decreasing to 33 days in August 2025, and then increasing again to 42 days in January 2026. This suggests a lengthening in the time required to convert inventory into sales, potentially indicating challenges in inventory management or slowing sales velocity, particularly in the latter portion of the period. The increase from 31 days in October 2025 to 42 days in January 2026 is notable.
- Average Receivable Collection Period
- The average receivable collection period showed considerable variability. It began at 42 days in April 2021, peaked at 57 days in January 2026, and experienced interim increases to 52 days in October 2021 and 54 days in August 2025. This indicates inconsistent efficiency in collecting payments from customers. The recent increase suggests a potential slowdown in collections or a shift towards offering more lenient credit terms. The period decreased from 41 days in October 2025 to 57 days in January 2026.
- Average Payables Payment Period
- The average payables payment period demonstrated a general decreasing trend from 117 days in April 2021 to 85 days in February 2023. However, it subsequently increased, reaching 135 days in January 2026. This suggests an initial strengthening of supplier relationships and improved cash management, followed by a potential weakening or a strategic decision to extend payment terms. The increase from 105 days in October 2025 to 135 days in January 2026 is significant.
- Cash Conversion Cycle
- The cash conversion cycle was consistently negative throughout the period, indicating that the company generally receives cash from customers before it needs to pay its suppliers. The cycle improved from -54 days in April 2021 to -30 days in January 2025, representing a more efficient use of working capital. However, the cycle then worsened, reaching -36 days in January 2026. This recent deterioration is attributable to the combined effects of lengthening inventory and receivable periods, partially offset by the extended payables period. The overall trend suggests a recent decline in operational efficiency regarding working capital management.
In summary, while the company initially demonstrated improvements in its cash conversion cycle, recent trends indicate a potential weakening in working capital management. The increases in both the inventory processing and receivable collection periods, coupled with a lengthening of the payables period, contributed to this recent deterioration. Continued monitoring of these trends is recommended.
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