Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Short-term Activity Ratios (Summary)
Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
Operational efficiency has demonstrated a consistent upward trajectory over the analyzed period, characterized by an acceleration in inventory movement and a significant reduction in the cash conversion cycle.
- Inventory Management
- Inventory turnover exhibited a general increase from 14.96 in March 2022 to a peak of 23.74 in December 2023, before settling at 19.44 by March 2026. This trend is mirrored by the average inventory processing period, which declined from 24 days to 19 days, indicating a more streamlined movement of goods through the supply chain and reduced holding times.
- Receivables and Payables Dynamics
- Receivables turnover remained relatively stable, fluctuating between a low of 8.33 and a high of 11.82. A recurring seasonal pattern is evident in the collection period, which typically peaks in December—reaching 44 days in December 2025—and troughs in September, averaging 31 to 33 days. A similar cyclicality is observed in the average payables payment period, which also peaks in December, reaching 61 days in December 2025. This suggests a strategic alignment where payment outflows are extended during the same period that collections slow.
- Operating and Cash Conversion Cycles
- The operating cycle transitioned from 61 days in March 2022 to 53 days by March 2026, reflecting overall improvements in the speed of operations. The cash conversion cycle showed the most significant improvement, trending downward from 14 days in early 2022 to negative values between June 2025 and December 2025. The emergence of a negative cash conversion cycle indicates a phase where supplier credit was leveraged to fund operations, as the time to pay suppliers exceeded the time taken to sell inventory and collect receivables.
- Working Capital Efficiency
- Working capital turnover displayed extreme volatility, particularly starting in 2023. A dramatic spike to 273.18 occurred in March 2024, suggesting a period of exceptionally low net working capital relative to sales. This indicates a highly lean approach to short-term asset management, although the lack of consistent data points for this specific ratio limits a long-term trend analysis.
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Turnover Ratios
Average No. Days
Inventory Turnover
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||
| Cost | 6,967) | 7,757) | 6,971) | 7,000) | 6,510) | 7,114) | 6,548) | 6,820) | 6,720) | 7,114) | 6,729) | 6,974) | 6,743) | 7,059) | 6,677) | 7,245) | 6,862) | ||||||
| Inventory, at lower of average cost or net realizable value | 1,476) | 1,220) | 1,397) | 1,251) | 1,431) | 1,289) | 1,367) | 1,234) | 1,212) | 1,161) | 1,399) | 1,501) | 1,603) | 1,552) | 1,794) | 1,684) | 1,776) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Inventory turnover1 | 19.44 | 23.15 | 19.75 | 21.72 | 18.86 | 21.10 | 19.90 | 22.19 | 22.72 | 23.74 | 19.66 | 18.29 | 17.30 | 17.94 | 15.59 | 16.30 | 14.96 | ||||||
| Benchmarks | |||||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||||
| Cadence Design Systems Inc. | 2.42 | 2.38 | 2.63 | 3.25 | 3.06 | 2.51 | 1.81 | 2.79 | 2.35 | 2.39 | 2.59 | 2.88 | 3.12 | 2.90 | 3.04 | 3.17 | 2.91 | ||||||
| Microsoft Corp. | 81.22 | 93.64 | 98.47 | 88.10 | 47.92 | 59.48 | 54.62 | 42.63 | 22.24 | 26.35 | 22.77 | 21.81 | 15.10 | 16.74 | 18.27 | 19.09 | 16.09 | ||||||
| Synopsys Inc. | 5.06 | 4.45 | 3.52 | 3.17 | 2.98 | 3.44 | 3.12 | 3.23 | 3.18 | 3.75 | 4.15 | 4.43 | 4.94 | 5.02 | 4.62 | 4.45 | 4.28 | ||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q1 2026 Calculation
Inventory turnover
= (CostQ1 2026
+ CostQ4 2025
+ CostQ3 2025
+ CostQ2 2025)
÷ Inventory, at lower of average cost or net realizable value
= (6,967 + 7,757 + 6,971 + 7,000)
÷ 1,476 = 19.44
2 Click competitor name to see calculations.
The analysis of operating activity reveals a marked improvement in inventory management efficiency between the first quarter of 2022 and the end of 2023, followed by a period of fluctuation and stabilization through the first quarter of 2026.
- Inventory Turnover Trends
- The inventory turnover ratio exhibited a consistent upward trajectory starting from 14.96 in March 2022 and reaching a peak of 23.74 by December 2023. This represents a significant acceleration in the rate at which inventory is processed and sold. Following this peak, the ratio entered a more volatile phase, fluctuating between a low of 18.86 in March 2024 and a high of 23.15 in December 2025, before settling at 19.44 by March 2026.
- Inventory Level Dynamics
- A general reduction in inventory holdings is observable during the initial period of analysis. Inventory levels decreased from 1,776 million USD in March 2022 to a period low of 1,161 million USD in December 2023. From 2024 onward, inventory levels stabilized within a range of 1,212 million USD to 1,476 million USD, indicating a shift toward a leaner operational model compared to the early 2022 baseline.
- Cost of Sales Relationship
- Costs remained relatively stable throughout the observed period, generally fluctuating between 6,510 million USD and 7,757 million USD. The increase in the turnover ratio observed during 2022 and 2023 was driven primarily by the strategic reduction in average inventory rather than substantial increases in the cost of sales, suggesting enhanced operational efficiency in asset utilization.
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Receivables Turnover
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||
| Revenue | 15,917) | 19,686) | 16,331) | 16,977) | 14,541) | 17,553) | 14,968) | 15,770) | 14,462) | 17,381) | 14,752) | 15,475) | 14,252) | 16,691) | 14,107) | 15,535) | 14,197) | ||||||
| Notes and accounts receivable, trade, net of allowances | 6,493) | 8,112) | 5,532) | 5,974) | 5,857) | 6,804) | 5,390) | 5,769) | 6,041) | 7,214) | 5,330) | 5,673) | 5,757) | 6,541) | 5,526) | 5,867) | 5,963) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Receivables turnover1 | 10.61 | 8.33 | 11.82 | 10.72 | 10.73 | 9.22 | 11.61 | 10.81 | 10.27 | 8.57 | 11.48 | 10.67 | 10.52 | 9.25 | 10.95 | 10.17 | 9.79 | ||||||
| Benchmarks | |||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||
| Adobe Inc. | 11.69 | 10.14 | 11.08 | 13.03 | 11.17 | 10.38 | 11.62 | 12.67 | 9.69 | 8.73 | 10.20 | 10.94 | 9.99 | 8.53 | 9.98 | 10.51 | 9.58 | ||||||
| AppLovin Corp. | — | 3.01 | 3.24 | 3.15 | 3.05 | 3.33 | 3.61 | 3.68 | 3.50 | 3.44 | 3.57 | 4.30 | 4.56 | 4.01 | 4.37 | 4.23 | 4.11 | ||||||
| Cadence Design Systems Inc. | 5.35 | 5.61 | 6.90 | 7.59 | 8.39 | 6.82 | 7.76 | 7.37 | 10.46 | 8.36 | 9.19 | 8.62 | 7.54 | 7.32 | 8.78 | 8.38 | 8.72 | ||||||
| CrowdStrike Holdings Inc. | 5.11 | 3.50 | 4.60 | 5.32 | 4.67 | 3.58 | 5.07 | 4.90 | 5.30 | 3.58 | 4.19 | 4.38 | 4.43 | 3.94 | 4.54 | 4.27 | 4.73 | ||||||
| Datadog Inc. | — | 4.62 | 5.84 | 4.99 | 5.78 | 4.48 | 5.21 | 4.49 | 5.01 | 4.18 | 5.01 | 5.70 | 4.89 | 4.19 | 4.39 | 4.47 | 4.33 | ||||||
| Intuit Inc. | 33.56 | 35.53 | 25.12 | 16.88 | 38.94 | 35.63 | 20.02 | 16.27 | 39.65 | 35.48 | 19.62 | 15.15 | 34.68 | 28.53 | 17.44 | 12.84 | 25.10 | ||||||
| Microsoft Corp. | 5.55 | 4.03 | 5.22 | 5.43 | 5.76 | 4.31 | 5.37 | 5.31 | 5.91 | 4.35 | 5.55 | 5.70 | 6.49 | 4.48 | 5.90 | 5.52 | 6.44 | ||||||
| Oracle Corp. | 6.67 | 6.71 | 6.93 | 6.72 | 6.71 | 6.73 | 7.20 | 7.59 | 7.82 | 7.22 | 7.72 | 7.43 | 7.44 | 7.13 | 9.12 | 9.28 | 9.11 | ||||||
| Palantir Technologies Inc. | — | 4.29 | 3.87 | 4.60 | 4.30 | 4.98 | 3.96 | 3.76 | 4.79 | 6.10 | 4.94 | 5.44 | 7.81 | 7.38 | 5.33 | 6.56 | 6.42 | ||||||
| Palo Alto Networks Inc. | 7.12 | 3.11 | 4.55 | 5.73 | 7.32 | 3.07 | 4.54 | 3.97 | 5.10 | 2.80 | 4.50 | 4.82 | 4.70 | 2.57 | 4.17 | 5.10 | 5.61 | ||||||
| Salesforce Inc. | 8.86 | 3.17 | 7.84 | 6.76 | 8.36 | 3.05 | 7.00 | 6.12 | 6.95 | 2.92 | 7.09 | 6.18 | 7.07 | 2.72 | 6.22 | 5.78 | 7.04 | ||||||
| ServiceNow Inc. | 8.15 | 5.05 | 8.18 | 7.11 | 8.44 | 4.90 | 8.00 | 6.56 | 7.26 | 4.41 | 7.26 | 7.33 | 6.87 | 4.20 | 7.71 | 7.74 | 7.59 | ||||||
| Synopsys Inc. | 4.88 | 4.69 | 4.62 | 6.21 | 6.80 | 6.56 | 7.56 | 7.25 | 5.63 | 6.17 | 8.29 | 6.78 | 5.00 | 6.38 | 7.25 | 6.58 | 4.34 | ||||||
| Workday Inc. | 6.38 | 4.33 | 5.81 | 6.09 | 6.68 | 4.43 | 5.70 | 5.28 | 5.94 | 3.96 | 5.71 | 5.13 | 6.94 | 4.14 | 5.66 | 5.35 | 6.91 | ||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q1 2026 Calculation
Receivables turnover
= (RevenueQ1 2026
+ RevenueQ4 2025
+ RevenueQ3 2025
+ RevenueQ2 2025)
÷ Notes and accounts receivable, trade, net of allowances
= (15,917 + 19,686 + 16,331 + 16,977)
÷ 6,493 = 10.61
2 Click competitor name to see calculations.
An analysis of the receivables turnover ratio reveals a consistent seasonal pattern characterized by cyclical fluctuations throughout each fiscal year. The ratio demonstrates a recurring trend of peaking in the third quarter and declining significantly in the fourth quarter.
- Seasonal Turnover Patterns
- A rhythmic oscillation is evident across the period from 2022 to 2026. The turnover ratio typically reaches its annual maximum during the September 30 quarter, with peaks rising from 10.95 in 2022 to 11.82 in 2025. Conversely, a sharp decline is consistently observed at the December 31 year-end, where ratios dropped to 9.25, 8.57, 9.22, and 8.33 across the respective years.
- Relationship Between Revenue and Accounts Receivable
- The downturn in the turnover ratio during the fourth quarter coincides with significant increases in both revenue and net trade receivables. For instance, the peak revenue of 19,686 million USD in December 2025 was accompanied by a peak in receivables of 8,112 million USD. The observed decrease in turnover during these periods indicates that receivables grew more rapidly relative to revenue, suggesting a temporary slowing in the collection cycle or a strategic extension of credit terms during the year-end closing phase.
- Operational Efficiency Stability
- Outside of the fourth-quarter volatility, the receivables turnover remains relatively stable, generally fluctuating between 10.2 and 11.6. This suggests a consistent underlying efficiency in credit management and collections during the first three quarters of each year. The recovery of the ratio in the March 31 quarter of each subsequent year indicates that year-end receivables are typically collected efficiently in the first quarter of the new fiscal year.
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Payables Turnover
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||
| Cost | 6,967) | 7,757) | 6,971) | 7,000) | 6,510) | 7,114) | 6,548) | 6,820) | 6,720) | 7,114) | 6,729) | 6,974) | 6,743) | 7,059) | 6,677) | 7,245) | 6,862) | ||||||
| Accounts payable | 4,039) | 4,756) | 3,867) | 3,974) | 3,585) | 4,032) | 3,274) | 3,631) | 3,588) | 4,132) | 3,342) | 3,732) | 3,728) | 4,051) | 3,806) | 3,707) | 3,453) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Payables turnover1 | 7.10 | 5.94 | 7.14 | 6.84 | 7.53 | 6.75 | 8.31 | 7.54 | 7.67 | 6.67 | 8.23 | 7.36 | 7.44 | 6.87 | 7.35 | 7.40 | 7.69 | ||||||
| Benchmarks | |||||||||||||||||||||||
| Payables Turnover, Competitors2 | |||||||||||||||||||||||
| Accenture PLC | 16.19 | 17.60 | 17.37 | 17.43 | 17.38 | 15.94 | 19.31 | 19.54 | 16.93 | 17.41 | 18.03 | 17.35 | 17.54 | 16.37 | 16.93 | 17.22 | 16.45 | ||||||
| Adobe Inc. | 6.19 | 6.12 | 7.47 | 6.75 | 7.33 | 6.53 | 7.47 | 6.73 | 7.92 | 7.50 | 7.29 | 6.51 | 7.21 | 5.71 | 6.66 | 5.53 | 6.54 | ||||||
| AppLovin Corp. | — | 0.89 | 1.55 | 1.62 | 1.72 | 2.07 | 2.62 | 2.88 | 2.80 | 2.85 | 4.11 | 4.57 | 4.37 | 4.60 | 4.40 | 3.90 | 2.83 | ||||||
| CrowdStrike Holdings Inc. | 64.35 | 7.58 | 11.69 | 41.11 | 38.10 | 26.82 | 12.69 | 18.50 | 38.08 | 13.25 | 6.03 | 8.95 | 39.15 | 8.05 | 47.07 | 15.13 | 75.30 | ||||||
| Datadog Inc. | — | 4.62 | 4.76 | 3.05 | 5.72 | 4.79 | 5.18 | 3.81 | 6.53 | 4.67 | 4.71 | 8.16 | 8.95 | 14.77 | 11.48 | 6.02 | 14.07 | ||||||
| Intuit Inc. | 5.83 | 4.86 | 3.73 | 3.48 | 5.41 | 4.81 | 3.83 | 4.19 | 5.12 | 4.93 | 3.29 | 3.54 | 3.98 | 3.26 | 2.52 | 2.31 | 3.47 | ||||||
| Microsoft Corp. | 2.82 | 3.17 | 3.18 | 3.54 | 3.42 | 3.37 | 3.94 | 3.89 | 3.46 | 3.64 | 4.28 | 4.23 | 3.88 | 3.30 | 3.74 | 3.76 | 3.70 | ||||||
| Oracle Corp. | 2.18 | 3.31 | 6.65 | 5.89 | 7.00 | 6.42 | 9.02 | 13.12 | 13.67 | 11.27 | 7.60 | 6.68 | 6.72 | 6.74 | 7.65 | 8.03 | 10.79 | ||||||
| Palantir Technologies Inc. | — | 97.86 | 11.08 | 63.77 | 267.25 | 5,495.05 | 18.51 | 6.85 | 12.34 | 35.56 | 45.04 | 92.45 | 93.11 | 9.12 | 6.58 | 6.53 | 13.10 | ||||||
| Palo Alto Networks Inc. | 11.37 | 10.56 | 9.99 | 15.01 | 10.12 | 17.71 | 18.29 | 10.93 | 14.57 | 14.43 | 20.69 | 14.50 | 14.30 | 13.43 | 14.68 | 12.25 | 14.46 | ||||||
| ServiceNow Inc. | 7.66 | 14.62 | 19.04 | 12.27 | 7.83 | 33.63 | 13.16 | 7.04 | 8.98 | 15.25 | 26.38 | 10.08 | 7.20 | 5.74 | 7.86 | 5.60 | 8.57 | ||||||
| Workday Inc. | 23.01 | 19.16 | 26.89 | 21.90 | 24.24 | 22.71 | 22.24 | 19.76 | 15.27 | 11.16 | 21.79 | 25.95 | 12.14 | 25.74 | 28.20 | 24.24 | 25.48 | ||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q1 2026 Calculation
Payables turnover
= (CostQ1 2026
+ CostQ4 2025
+ CostQ3 2025
+ CostQ2 2025)
÷ Accounts payable
= (6,967 + 7,757 + 6,971 + 7,000)
÷ 4,039 = 7.10
2 Click competitor name to see calculations.
The payables turnover ratio exhibits a distinct cyclical pattern over the analyzed period from March 2022 to March 2026. The ratio is characterized by significant quarterly fluctuations, with recurring peaks and troughs that suggest seasonal shifts in payment obligations and procurement cycles.
- Cyclical Fluctuations and Seasonality
- A consistent trend of decline is observed in the fourth quarter of each year. The turnover ratio decreased to 6.87 in December 2022, 6.67 in December 2023, 6.75 in December 2024, and reached its lowest point of 5.94 in December 2025. Conversely, peaks are frequently observed in the third quarter, notably reaching 8.23 in September 2023 and 8.31 in September 2024.
- Correlation Between Cost and Accounts Payable
- The decrease in the turnover ratio during the December quarters correlates with a recurring increase in Accounts Payable. For instance, Accounts Payable peaked at 4,756 million in December 2025, coinciding with the lowest turnover ratio of 5.94. This suggests a systemic increase in liabilities at year-end relative to the quarterly costs incurred.
- Payment Velocity Trends
- While the ratio recovers in the first quarter of each subsequent year—evidenced by the rise to 7.10 by March 2026—the year-end minimums have trended downward over the period. The progression of December lows from 6.87 in 2022 to 5.94 in 2025 indicates a gradual lengthening of the average payment period to suppliers at the close of the fiscal year.
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Working Capital Turnover
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||
| Current assets | 31,914) | 36,944) | 32,740) | 34,253) | 35,336) | 34,482) | 30,543) | 33,299) | 36,663) | 32,908) | 27,705) | 34,458) | 35,982) | 29,118) | 28,999) | 27,896) | 31,330) | ||||||
| Less: Current liabilities | 40,101) | 38,658) | 35,142) | 37,726) | 35,106) | 33,142) | 28,853) | 29,648) | 32,397) | 34,122) | 30,606) | 32,513) | 30,993) | 31,505) | 30,466) | 31,844) | 34,056) | ||||||
| Working capital | (8,187) | (1,714) | (2,402) | (3,473) | 230) | 1,340) | 1,690) | 3,651) | 4,266) | (1,214) | (2,901) | 1,945) | 4,989) | (2,387) | (1,467) | (3,948) | (2,726) | ||||||
| Revenue | 15,917) | 19,686) | 16,331) | 16,977) | 14,541) | 17,553) | 14,968) | 15,770) | 14,462) | 17,381) | 14,752) | 15,475) | 14,252) | 16,691) | 14,107) | 15,535) | 14,197) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Working capital turnover1 | — | — | — | — | 273.18 | 46.83 | 37.03 | 17.08 | 14.55 | — | — | 31.12 | 12.14 | — | — | — | — | ||||||
| Benchmarks | |||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||
| Accenture PLC | 8.66 | 8.15 | 7.92 | 8.22 | 8.28 | 34.49 | 22.48 | 15.40 | 11.18 | 11.93 | 10.11 | 13.40 | 14.81 | 15.07 | 13.41 | 15.55 | 15.85 | ||||||
| Adobe Inc. | — | — | 133.99 | — | 13.02 | 30.25 | 19.54 | 13.19 | 42.33 | 6.85 | 9.10 | 14.68 | 19.89 | 20.28 | 16.36 | 31.92 | 57.86 | ||||||
| AppLovin Corp. | — | 1.77 | 2.15 | 2.63 | 5.02 | 3.75 | 3.91 | 4.25 | 4.29 | 4.89 | 6.12 | 2.61 | 2.03 | 2.07 | 2.27 | 2.49 | 1.86 | ||||||
| Cadence Design Systems Inc. | 5.43 | 1.75 | 1.81 | 1.87 | 1.81 | 1.75 | 1.80 | 6.28 | 8.78 | 10.61 | 7.00 | 8.51 | 7.12 | 9.92 | 8.31 | 5.34 | 4.07 | ||||||
| CrowdStrike Holdings Inc. | 1.48 | 1.49 | 1.45 | 1.43 | 1.52 | 1.48 | 1.65 | 1.45 | 1.50 | 1.46 | 1.47 | 1.38 | 1.32 | 1.25 | 1.15 | 1.02 | 0.95 | ||||||
| Datadog Inc. | — | 0.90 | 0.91 | 0.92 | 0.88 | 0.88 | 1.26 | 1.33 | 0.96 | 0.98 | 1.02 | 1.03 | 1.06 | 1.06 | 1.02 | 0.95 | 0.85 | ||||||
| Intuit Inc. | 6.70 | 5.04 | 4.22 | 8.78 | 7.87 | 7.45 | 5.15 | 13.92 | 11.94 | 8.13 | 6.30 | 15.31 | 10.83 | 8.98 | 5.68 | 21.87 | 4.39 | ||||||
| Microsoft Corp. | 5.43 | 5.64 | 6.36 | 6.85 | 7.32 | 7.12 | 8.26 | 8.63 | 2.64 | 2.65 | 2.65 | 2.68 | 2.77 | 2.66 | 2.52 | 1.91 | 1.88 | ||||||
| Oracle Corp. | — | — | 113.15 | — | — | — | — | — | — | — | — | — | — | 3.50 | 3.86 | 3.39 | 1.70 | ||||||
| Palantir Technologies Inc. | — | 0.62 | 0.61 | 0.59 | 0.59 | 0.58 | 0.60 | 0.62 | 0.63 | 0.66 | 0.68 | 0.71 | 0.75 | 0.78 | 0.81 | 0.78 | 0.73 | ||||||
| Palo Alto Networks Inc. | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||
| Salesforce Inc. | 23.11 | 21.69 | 18.14 | 42.35 | 14.56 | 14.27 | 42.02 | 99.31 | 90.67 | 62.21 | 30.85 | 25.15 | 54.57 | 24.95 | 27.10 | — | 4.36 | ||||||
| ServiceNow Inc. | — | 474.21 | 25.49 | 15.46 | 11.33 | 13.25 | 11.50 | 11.73 | 27.96 | 21.77 | 19.04 | 9.59 | 7.83 | 11.16 | 6.63 | 11.21 | 10.61 | ||||||
| Synopsys Inc. | 5.60 | 3.08 | 2.99 | 0.43 | 1.53 | 1.60 | 2.35 | 2.82 | 7.85 | 13.12 | 10.27 | 12.83 | 17.05 | 21.34 | 14.02 | 7.78 | 9.47 | ||||||
| Workday Inc. | 1.69 | 1.69 | 1.75 | 1.68 | 1.70 | 1.49 | 1.54 | 1.60 | 1.69 | 1.79 | 1.83 | 1.93 | 2.03 | 35.15 | 11.69 | 24.99 | — | ||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q1 2026 Calculation
Working capital turnover
= (RevenueQ1 2026
+ RevenueQ4 2025
+ RevenueQ3 2025
+ RevenueQ2 2025)
÷ Working capital
= (15,917 + 19,686 + 16,331 + 16,977)
÷ -8,187 = —
2 Click competitor name to see calculations.
Analysis of operational efficiency reveals a high degree of volatility in the management of net current assets relative to revenue generation over the observed period.
- Revenue Performance
- Revenue demonstrates a consistent seasonal cyclicality, typically peaking in the fourth quarter of each year. A general upward trajectory is observed, with a peak of 19,686 million US dollars recorded in December 2025, compared to 14,197 million US dollars in March 2022.
- Working Capital Volatility
- Working capital exhibits significant instability, frequently alternating between positive and negative balances. The period began with consistent negative balances through 2022. While positive balances were maintained for portions of 2023 and 2024, the trend reversed sharply in 2025. By March 2026, working capital reached its most significant deficit at negative 8,187 million US dollars.
- Working Capital Turnover Patterns
- The turnover ratio, applicable only during periods of positive working capital, shows an accelerating trend during 2024, rising from 14.55 in March to 46.83 in December. An extreme spike to 273.18 was recorded on March 31, 2025; this was driven by a substantial contraction of working capital to 230 million US dollars while revenue remained robust. This indicates an exceptionally lean utilization of net current assets to support operations immediately before the return to a negative working capital position.
The recurring shift into negative working capital, culminating in the significant deficit observed in March 2026, suggests a financing strategy or operational structure where current liabilities consistently exceed current assets, effectively using short-term obligations to fund operations.
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Average Inventory Processing Period
International Business Machines Corp., average inventory processing period calculation (quarterly data)
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||
| Inventory turnover | 19.44 | 23.15 | 19.75 | 21.72 | 18.86 | 21.10 | 19.90 | 22.19 | 22.72 | 23.74 | 19.66 | 18.29 | 17.30 | 17.94 | 15.59 | 16.30 | 14.96 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||
| Average inventory processing period1 | 19 | 16 | 18 | 17 | 19 | 17 | 18 | 16 | 16 | 15 | 19 | 20 | 21 | 20 | 23 | 22 | 24 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||
| Cadence Design Systems Inc. | 151 | 153 | 139 | 112 | 119 | 145 | 201 | 131 | 156 | 152 | 141 | 127 | 117 | 126 | 120 | 115 | 125 | ||||||
| Microsoft Corp. | 4 | 4 | 4 | 4 | 8 | 6 | 7 | 9 | 16 | 14 | 16 | 17 | 24 | 22 | 20 | 19 | 23 | ||||||
| Synopsys Inc. | 72 | 82 | 104 | 115 | 123 | 106 | 117 | 113 | 115 | 97 | 88 | 82 | 74 | 73 | 79 | 82 | 85 | ||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q1 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 19.44 = 19
2 Click competitor name to see calculations.
An analysis of inventory efficiency reveals a general improvement in operating activity from March 2022 through March 2026. The data reflects a period of optimization in inventory management, followed by a phase of relative stability with minor quarterly fluctuations.
- Inventory Turnover Trends
- The turnover ratio experienced a consistent upward trajectory during the first two years of the analyzed period, rising from 14.96 in March 2022 to a peak of 23.74 by December 2023. Following this peak, the ratio entered a period of volatility, fluctuating between 18.86 and 23.15 throughout 2024 and 2025, before settling at 19.44 in March 2026.
- Average Inventory Processing Period
- A corresponding downward trend is observed in the average inventory processing period, which decreased from a high of 24 days in March 2022 to a minimum of 15 days in December 2023. From January 2024 through March 2026, the processing period stabilized, consistently remaining within a narrow range of 16 to 19 days. This reduction signifies a heightened efficiency in moving assets through the operating cycle.
- Operational Efficiency and Correlation
- A clear inverse correlation exists between the turnover ratio and the processing period. The most significant gains in operational efficiency occurred between 2022 and the end of 2023, suggesting a successful optimization of inventory levels or an increase in sales velocity. The subsequent stabilization from 2024 onward indicates that a sustainable operational baseline for inventory processing has been established.
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Average Receivable Collection Period
International Business Machines Corp., average receivable collection period calculation (quarterly data)
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||
| Receivables turnover | 10.61 | 8.33 | 11.82 | 10.72 | 10.73 | 9.22 | 11.61 | 10.81 | 10.27 | 8.57 | 11.48 | 10.67 | 10.52 | 9.25 | 10.95 | 10.17 | 9.79 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||
| Average receivable collection period1 | 34 | 44 | 31 | 34 | 34 | 40 | 31 | 34 | 36 | 43 | 32 | 34 | 35 | 39 | 33 | 36 | 37 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||
| Adobe Inc. | 31 | 36 | 33 | 28 | 33 | 35 | 31 | 29 | 38 | 42 | 36 | 33 | 37 | 43 | 37 | 35 | 38 | ||||||
| AppLovin Corp. | — | 121 | 113 | 116 | 120 | 110 | 101 | 99 | 104 | 106 | 102 | 85 | 80 | 91 | 84 | 86 | 89 | ||||||
| Cadence Design Systems Inc. | 68 | 65 | 53 | 48 | 43 | 54 | 47 | 50 | 35 | 44 | 40 | 42 | 48 | 50 | 42 | 44 | 42 | ||||||
| CrowdStrike Holdings Inc. | 71 | 104 | 79 | 69 | 78 | 102 | 72 | 75 | 69 | 102 | 87 | 83 | 82 | 93 | 80 | 85 | 77 | ||||||
| Datadog Inc. | — | 79 | 62 | 73 | 63 | 81 | 70 | 81 | 73 | 87 | 73 | 64 | 75 | 87 | 83 | 82 | 84 | ||||||
| Intuit Inc. | 11 | 10 | 15 | 22 | 9 | 10 | 18 | 22 | 9 | 10 | 19 | 24 | 11 | 13 | 21 | 28 | 15 | ||||||
| Microsoft Corp. | 66 | 91 | 70 | 67 | 63 | 85 | 68 | 69 | 62 | 84 | 66 | 64 | 56 | 81 | 62 | 66 | 57 | ||||||
| Oracle Corp. | 55 | 54 | 53 | 54 | 54 | 54 | 51 | 48 | 47 | 51 | 47 | 49 | 49 | 51 | 40 | 39 | 40 | ||||||
| Palantir Technologies Inc. | — | 85 | 94 | 79 | 85 | 73 | 92 | 97 | 76 | 60 | 74 | 67 | 47 | 49 | 68 | 56 | 57 | ||||||
| Palo Alto Networks Inc. | 51 | 117 | 80 | 64 | 50 | 119 | 80 | 92 | 72 | 130 | 81 | 76 | 78 | 142 | 88 | 72 | 65 | ||||||
| Salesforce Inc. | 41 | 115 | 47 | 54 | 44 | 120 | 52 | 60 | 53 | 125 | 52 | 59 | 52 | 134 | 59 | 63 | 52 | ||||||
| ServiceNow Inc. | 45 | 72 | 45 | 51 | 43 | 74 | 46 | 56 | 50 | 83 | 50 | 50 | 53 | 87 | 47 | 47 | 48 | ||||||
| Synopsys Inc. | 75 | 78 | 79 | 59 | 54 | 56 | 48 | 50 | 65 | 59 | 44 | 54 | 73 | 57 | 50 | 55 | 84 | ||||||
| Workday Inc. | 57 | 84 | 63 | 60 | 55 | 82 | 64 | 69 | 61 | 92 | 64 | 71 | 53 | 88 | 65 | 68 | 53 | ||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q1 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 10.61 = 34
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a consistent cyclical pattern in the management of accounts receivable from March 2022 through March 2026. The data exhibits recurring seasonal fluctuations characterized by peak efficiency in the third quarter of each year and a marked deceleration in collection speed during the fourth quarter.
- Receivables Turnover Dynamics
- The receivables turnover ratio demonstrates a predictable oscillation. Efficiency typically peaks in September, with the highest recorded turnover ratio of 11.82 occurring on September 30, 2025. Conversely, a significant contraction in turnover is observed every December, with ratios dropping to 9.25, 8.57, 9.22, and 8.33 across the observed years. This indicates a consistent year-end increase in outstanding receivables relative to credit sales.
- Average Receivable Collection Period
- The average collection period mirrors the turnover trends, fluctuating between a minimum of 31 days and a maximum of 44 days. The most efficient collection cycles are consistently realized in the third quarter, specifically in 2024 and 2025, where the period reached 31 days. A systemic spike is evident every December, with the collection period extending to 39, 43, 40, and 44 days respectively. This recurring trend indicates a seasonal slowing of cash inflows from customers at the close of each calendar year.
- Longitudinal Performance and Stability
- Despite the seasonal volatility, the baseline collection period remains relatively stable, typically reverting to approximately 34 to 36 days in the first quarter of each subsequent year. However, the magnitude of the year-end spike increased in severity by the end of 2025, reaching a period high of 44 days. This suggests a slight widening of the variance between peak and trough efficiency over the analyzed timeframe.
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Operating Cycle
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||
| Average inventory processing period | 19 | 16 | 18 | 17 | 19 | 17 | 18 | 16 | 16 | 15 | 19 | 20 | 21 | 20 | 23 | 22 | 24 | ||||||
| Average receivable collection period | 34 | 44 | 31 | 34 | 34 | 40 | 31 | 34 | 36 | 43 | 32 | 34 | 35 | 39 | 33 | 36 | 37 | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Operating cycle1 | 53 | 60 | 49 | 51 | 53 | 57 | 49 | 50 | 52 | 58 | 51 | 54 | 56 | 59 | 56 | 58 | 61 | ||||||
| Benchmarks | |||||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||||
| Cadence Design Systems Inc. | 219 | 218 | 192 | 160 | 162 | 199 | 248 | 181 | 191 | 196 | 181 | 169 | 165 | 176 | 162 | 159 | 167 | ||||||
| Microsoft Corp. | 70 | 95 | 74 | 71 | 71 | 91 | 75 | 78 | 78 | 98 | 82 | 81 | 80 | 103 | 82 | 85 | 80 | ||||||
| Synopsys Inc. | 147 | 160 | 183 | 174 | 177 | 162 | 165 | 163 | 180 | 156 | 132 | 136 | 147 | 130 | 129 | 137 | 169 | ||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q1 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 19 + 34 = 53
2 Click competitor name to see calculations.
The operating cycle exhibits a general pattern of fluctuation with a slight overall downward trajectory over the analyzed period. Starting at 61 days in March 2022, the cycle reached a low of 49 days in September 2023 before stabilizing between 49 and 60 days through March 2026. The volatility in the total operating cycle is primarily driven by fluctuations in the receivable collection period rather than inventory processing.
- Average Inventory Processing Period
- A consistent improvement in inventory efficiency is observed. The period decreased from 24 days in early 2022 to a minimum of 15 days by December 2023. While there was a slight increase in subsequent quarters, the period remained predominantly within the 16 to 19-day range through March 2026, indicating a more streamlined inventory turnover compared to the beginning of the period.
- Average Receivable Collection Period
- The collection period demonstrates significant volatility characterized by a recurring seasonal spike. While the ratio typically fluctuates between 31 and 36 days, there is a consistent increase every December, peaking at 44 days in December 2025. These periodic increases suggest a systemic year-end delay in payment collections or a shift in billing cycles during the fourth quarter.
- Operating Cycle Correlation
- The total operating cycle closely mirrors the behavior of the receivable collection period. Because the inventory processing period remained relatively stable and low after 2023, the year-end peaks in the operating cycle—observed in December 2022 (59 days), December 2023 (58 days), December 2024 (57 days), and December 2025 (60 days)—are directly attributable to the extension of the receivable collection timeframe.
Overall, the reduction in the inventory processing period has provided a partial buffer against the seasonal increases in collection time, preventing the total operating cycle from returning to the higher levels seen in early 2022.
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Average Payables Payment Period
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||
| Payables turnover | 7.10 | 5.94 | 7.14 | 6.84 | 7.53 | 6.75 | 8.31 | 7.54 | 7.67 | 6.67 | 8.23 | 7.36 | 7.44 | 6.87 | 7.35 | 7.40 | 7.69 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||
| Average payables payment period1 | 51 | 61 | 51 | 53 | 48 | 54 | 44 | 48 | 48 | 55 | 44 | 50 | 49 | 53 | 50 | 49 | 47 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | |||||||||||||||||||||||
| Accenture PLC | 23 | 21 | 21 | 21 | 21 | 23 | 19 | 19 | 22 | 21 | 20 | 21 | 21 | 22 | 22 | 21 | 22 | ||||||
| Adobe Inc. | 59 | 60 | 49 | 54 | 50 | 56 | 49 | 54 | 46 | 49 | 50 | 56 | 51 | 64 | 55 | 66 | 56 | ||||||
| AppLovin Corp. | — | 410 | 235 | 225 | 212 | 176 | 139 | 127 | 130 | 128 | 89 | 80 | 84 | 79 | 83 | 94 | 129 | ||||||
| CrowdStrike Holdings Inc. | 6 | 48 | 31 | 9 | 10 | 14 | 29 | 20 | 10 | 28 | 61 | 41 | 9 | 45 | 8 | 24 | 5 | ||||||
| Datadog Inc. | — | 79 | 77 | 120 | 64 | 76 | 71 | 96 | 56 | 78 | 78 | 45 | 41 | 25 | 32 | 61 | 26 | ||||||
| Intuit Inc. | 63 | 75 | 98 | 105 | 67 | 76 | 95 | 87 | 71 | 74 | 111 | 103 | 92 | 112 | 145 | 158 | 105 | ||||||
| Microsoft Corp. | 130 | 115 | 115 | 103 | 107 | 108 | 93 | 94 | 106 | 100 | 85 | 86 | 94 | 111 | 98 | 97 | 99 | ||||||
| Oracle Corp. | 167 | 110 | 55 | 62 | 52 | 57 | 40 | 28 | 27 | 32 | 48 | 55 | 54 | 54 | 48 | 45 | 34 | ||||||
| Palantir Technologies Inc. | — | 4 | 33 | 6 | 1 | 0 | 20 | 53 | 30 | 10 | 8 | 4 | 4 | 40 | 55 | 56 | 28 | ||||||
| Palo Alto Networks Inc. | 32 | 35 | 37 | 24 | 36 | 21 | 20 | 33 | 25 | 25 | 18 | 25 | 26 | 27 | 25 | 30 | 25 | ||||||
| ServiceNow Inc. | 48 | 25 | 19 | 30 | 47 | 11 | 28 | 52 | 41 | 24 | 14 | 36 | 51 | 64 | 46 | 65 | 43 | ||||||
| Workday Inc. | 16 | 19 | 14 | 17 | 15 | 16 | 16 | 18 | 24 | 33 | 17 | 14 | 30 | 14 | 13 | 15 | 14 | ||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q1 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 7.10 = 51
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a recurring cyclical pattern in the management of accounts payable, characterized by periodic fluctuations in payment duration and turnover efficiency over the observed timeframe.
- Average Payables Payment Period Trends
- A distinct seasonal variance is observed, with a consistent trend of expansion during the fourth quarter of each fiscal year. Peak payment durations occurred in December of each year, increasing from 53 days in 2022 to 55 days in 2023, 54 days in 2024, and reaching a maximum of 61 days in December 2025. Conversely, payment windows consistently contracted during the third quarters, with lows of 44 days recorded in September 2023 and September 2024.
- Payables Turnover Analysis
- The payables turnover ratio exhibits a strict inverse correlation with the payment period. High efficiency peaks, such as the 8.23 and 8.31 ratios observed in September 2023 and September 2024, align with the shortest payment cycles. A significant decline in turnover efficiency is noted toward the end of 2025, where the ratio fell to a period low of 5.94 in December, coinciding with the peak payment period of 61 days.
- Operational Trajectory and Liquidity Insights
- Over the broader duration from March 2022 to March 2026, a gradual upward shift in the baseline payment duration is evident. While the cycle began at 47 days in early 2022, the subsequent years show an increasing tendency toward longer payment terms, particularly the escalation seen throughout 2025. This pattern suggests a strategic extension of trade credit to optimize short-term cash flow, although the reduction to 51 days by March 2026 indicates a regularization of the payment cycle following the year-end peak.
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Cash Conversion Cycle
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||
| Average inventory processing period | 19 | 16 | 18 | 17 | 19 | 17 | 18 | 16 | 16 | 15 | 19 | 20 | 21 | 20 | 23 | 22 | 24 | ||||||
| Average receivable collection period | 34 | 44 | 31 | 34 | 34 | 40 | 31 | 34 | 36 | 43 | 32 | 34 | 35 | 39 | 33 | 36 | 37 | ||||||
| Average payables payment period | 51 | 61 | 51 | 53 | 48 | 54 | 44 | 48 | 48 | 55 | 44 | 50 | 49 | 53 | 50 | 49 | 47 | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Cash conversion cycle1 | 2 | -1 | -2 | -2 | 5 | 3 | 5 | 2 | 4 | 3 | 7 | 4 | 7 | 6 | 6 | 9 | 14 | ||||||
| Benchmarks | |||||||||||||||||||||||
| Cash Conversion Cycle, Competitors2 | |||||||||||||||||||||||
| Microsoft Corp. | -60 | -20 | -41 | -32 | -36 | -17 | -18 | -16 | -28 | -2 | -3 | -5 | -14 | -8 | -16 | -12 | -19 | ||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q1 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 19 + 34 – 51 = 2
2 Click competitor name to see calculations.
The analysis of the operating activity ratios reveals a consistent improvement in the efficiency of the working capital cycle over the observed period. The most prominent trend is the steady compression of the cash conversion cycle, which transitioned from a positive 14 days in early 2022 to reaching negative values in 2025, indicating a highly efficient conversion of resources into cash.
- Average Inventory Processing Period
- A general downward trend is observed in inventory management efficiency. The processing period decreased from 24 days in March 2022 to a low of 15 days by December 2023. While there was a slight increase in 2024 and 2025, the period remained consistently lower than the initial 2022 levels, fluctuating between 16 and 19 days. This suggests a sustained improvement in inventory turnover.
- Average Receivable Collection Period
- Receivable collections exhibit a cyclical pattern characterized by periodic spikes. A recurring increase in the collection period is evident every December, with peaks reaching 39, 43, 40, and 44 days across the respective years. Outside of these year-end fluctuations, the collection period typically stabilizes between 31 and 36 days, indicating a relatively stable credit policy despite seasonal volatility.
- Average Payables Payment Period
- The period for settling accounts payable shows a general upward trajectory, indicating an increased reliance on supplier financing. Payments shifted from an average of 47 to 49 days in early 2022 to a peak of 61 days in December 2025. Similar to receivables, there is a pronounced seasonal increase every December, suggesting a strategic alignment of payment outflows with year-end financial cycles.
- Cash Conversion Cycle (CCC)
- The overall cash conversion cycle has contracted significantly. From March 2022 through December 2023, the cycle reduced from 14 days to 3 days. A critical shift occurred in 2025, where the cycle entered negative territory, reaching -2 days in June and September and -1 day in December. This negative CCC implies that the company is able to collect cash from sales and liquidate inventory before it is required to pay its suppliers, effectively using supplier credit to fund operational growth.
The optimization of the cash conversion cycle is primarily driven by the extension of the payables payment period, which more than offsets the time required for inventory processing and receivable collection. The emergence of a negative cash conversion cycle in the latter part of the data set represents a significant increase in liquidity and operational efficiency.
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