Stock Analysis on Net

Dell Technologies Inc. (NYSE:DELL)

Analysis of Short-term (Operating) Activity Ratios 
Quarterly Data

Microsoft Excel

Short-term Activity Ratios (Summary)

Dell Technologies Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
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
Turnover Ratios
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
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
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
Working capital turnover
Average No. Days
Average inventory processing period 42 31 33 36 33 33 31 25 20 18 18 19 22 27 25 28 27 27 22 21
Add: Average receivable collection period 57 41 54 37 39 43 45 35 39 39 40 35 45 40 46 41 47 52 49 42
Operating cycle 99 72 87 73 72 76 76 60 59 57 58 54 67 67 71 69 74 79 71 63
Less: Average payables payment period 135 105 125 123 102 117 124 109 105 102 102 86 85 99 109 113 125 130 120 117
Cash conversion cycle -36 -33 -38 -50 -30 -41 -48 -49 -46 -45 -44 -32 -18 -32 -38 -44 -51 -51 -49 -54

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

Dell Technologies Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
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

Dell Technologies Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
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

Dell Technologies Inc., payables turnover calculation (quarterly data)

Microsoft Excel
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

Dell Technologies Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
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

Dell Technologies Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
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

Dell Technologies Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
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

Dell Technologies Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
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

Dell Technologies Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
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

Dell Technologies Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
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 + 57135 = -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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