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-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
The analysis of short-term operating activity reveals a significant transformation in operational efficiency, characterized by a drastic acceleration in inventory turnover and a strategic extension of payment terms. The most notable shift occurs between late 2023 and 2026, where the company transitioned toward a highly lean inventory model and an increasingly negative cash conversion cycle.
- Inventory and Working Capital Efficiency
- Inventory turnover exhibits a substantial upward trajectory, rising from 17.25 in September 2020 to a peak of 98.47 in March 2025. This is mirrored by the average inventory processing period, which plummeted from 21 days to a consistent 4 days starting in December 2024. Concurrently, working capital turnover saw a sharp increase, particularly after December 2023, moving from a range of 1.37–2.77 to a peak of 8.63, indicating a much more aggressive utilization of working capital to generate revenue.
- Receivables and Payables Management
- Receivables turnover remained relatively stable, fluctuating between 4.03 and 6.49 throughout the period. The average receivable collection period shows cyclical volatility, generally ranging between 56 and 91 days, without a definitive long-term directional trend. In contrast, payables turnover shows a steady decline, falling from 3.73 to 2.69. This corresponds with a marked increase in the average payables payment period, which grew from 98 days in September 2020 to 136 days by March 2026, suggesting a strategic shift toward delaying payments to suppliers.
- Operating Cycle and Cash Conversion Cycle
- The operating cycle has remained relatively stable, typically oscillating between 71 and 103 days, as the reduction in inventory processing time was largely offset by fluctuations in receivable collections. However, the cash conversion cycle has become significantly more negative over the analyzed period. Starting at -20 days in September 2020, the cycle reached -63 days by March 2026, with a low of -70 days in December 2025. This trend indicates that the company is increasingly utilizing supplier financing to fund its operations, effectively creating a source of interest-free liquidity.
AI Ask an analyst for more
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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||||
| Cost of revenue | 26,828) | 25,978) | 24,043) | 24,014) | 21,919) | 21,799) | 20,099) | 19,684) | 18,505) | 19,623) | 16,302) | 16,795) | 16,128) | 17,488) | 15,452) | 16,429) | 15,615) | 16,960) | 13,646) | 13,991) | 13,045) | 14,194) | 11,002) | |||||||
| Inventories | 1,219) | 1,059) | 1,130) | 938) | 848) | 909) | 1,626) | 1,246) | 1,304) | 1,615) | 3,000) | 2,500) | 2,877) | 2,980) | 4,268) | 3,742) | 3,296) | 3,019) | 3,411) | 2,636) | 2,245) | 1,924) | 2,705) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Inventory turnover1 | 82.74 | 90.61 | 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 | 19.81 | 22.53 | 25.21 | 17.25 | |||||||
| 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 | — | — | — | — | |||||||
| International Business Machines Corp. | — | — | 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 | — | — | — | — | |||||||
| Synopsys Inc. | — | 5.21 | 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 | 3.76 | 3.53 | 3.65 | 3.51 | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Inventory turnover
= (Cost of revenueQ3 2026
+ Cost of revenueQ2 2026
+ Cost of revenueQ1 2026
+ Cost of revenueQ4 2025)
÷ Inventories
= (26,828 + 25,978 + 24,043 + 24,014)
÷ 1,219 = 82.74
2 Click competitor name to see calculations.
An analysis of the operating activity ratios reveals a significant transformation in inventory management and efficiency between September 2020 and March 2026. While the cost of revenue demonstrates a consistent upward trajectory, the inventory levels have undergone a substantial reduction, resulting in a dramatic increase in the inventory turnover ratio.
- Cost of Revenue Trends
- The cost of revenue exhibits a steady long-term growth pattern, increasing from 11,002 million USD in September 2020 to 26,828 million USD by March 2026. This growth reflects an expansion in the scale of operations and an increase in the volume of goods and services delivered over the observed period.
- Inventory Level Dynamics
- Inventory levels remained relatively volatile between 2020 and 2022, peaking at 4,268 million USD in September 2022. However, a decisive downward shift occurred starting in late 2023. Inventories dropped from 3,000 million USD in September 2023 to 848 million USD by December 2024. Following this decline, inventory levels stabilized, fluctuating between approximately 848 million USD and 1,219 million USD through March 2026.
- Inventory Turnover Evolution
- The inventory turnover ratio reflects the combined effect of rising costs and falling inventory levels. From September 2020 to September 2022, the ratio remained within a moderate range of 15.10 to 25.21. A sharp acceleration began in December 2023, where the ratio jumped to 42.63, eventually peaking at 98.47 in March 2025. For the remainder of the period, the turnover ratio maintained an elevated plateau, consistently remaining above 80.00.
- Operational Implications
- The divergence between increasing revenue costs and decreasing inventory suggests a fundamental shift toward a leaner operational model. The rapid escalation in turnover ratios indicates that the organization is moving physical stock significantly faster or has reduced its reliance on tangible inventory to generate revenue. This pattern is indicative of highly optimized supply chain management or a strategic pivot toward services and digital offerings that require minimal physical inventory holdings.
AI Ask an analyst for more
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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||||
| Revenue | 82,886) | 81,273) | 77,673) | 76,441) | 70,066) | 69,632) | 65,585) | 64,727) | 61,858) | 62,020) | 56,517) | 56,189) | 52,857) | 52,747) | 50,122) | 51,865) | 49,360) | 51,728) | 45,317) | 46,152) | 41,706) | 43,076) | 37,154) | |||||||
| Accounts receivable, net of allowance for doubtful accounts | 60,041) | 56,535) | 52,894) | 69,905) | 51,700) | 48,188) | 44,148) | 56,924) | 44,029) | 42,831) | 36,953) | 48,688) | 37,420) | 35,833) | 31,279) | 44,261) | 32,613) | 33,520) | 27,349) | 38,043) | 26,322) | 27,312) | 22,851) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Receivables turnover1 | 5.30 | 5.40 | 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 | 4.42 | 6.08 | 5.61 | 6.44 | |||||||
| 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 | 8.41 | 9.77 | 9.74 | 9.00 | |||||||
| AppLovin Corp. | — | — | 3.15 | 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. | 4.51 | 4.90 | 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. | — | — | 5.40 | 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 | — | — | — | — | |||||||
| International Business Machines Corp. | — | — | 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 | — | — | — | — | |||||||
| Intuit Inc. | 25.09 | 17.12 | 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 | 24.64 | 16.04 | 16.60 | 79.16 | |||||||
| Oracle Corp. | 5.98 | 6.46 | 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 | 7.48 | 8.56 | 8.91 | 8.57 | |||||||
| Palantir Technologies Inc. | — | — | 3.72 | 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. | 3.72 | 4.68 | 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 | 3.43 | 5.20 | 5.65 | 5.30 | |||||||
| Salesforce Inc. | 7.37 | 7.06 | 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. | — | 6.85 | 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 | 7.40 | 7.06 | 6.51 | 4.84 | |||||||
| Workday Inc. | 5.27 | 5.57 | 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-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Receivables turnover
= (RevenueQ3 2026
+ RevenueQ2 2026
+ RevenueQ1 2026
+ RevenueQ4 2025)
÷ Accounts receivable, net of allowance for doubtful accounts
= (82,886 + 81,273 + 77,673 + 76,441)
÷ 60,041 = 5.30
2 Click competitor name to see calculations.
Revenue demonstrates a consistent and significant upward trajectory, growing from 37,154 million USD in September 2020 to 82,886 million USD by March 2026. This growth is mirrored by an overall increase in net accounts receivable, although the receivables balance exhibits substantial quarterly volatility.
- Receivables Turnover Cyclicality
- A recurring seasonal pattern is evident in the receivables turnover ratio. The ratio consistently reaches its lowest points in the June quarters, with values recording 4.42 in June 2021, 4.48 in June 2022, 4.35 in June 2023, 4.31 in June 2024, and 4.03 in June 2025. Efficiency typically recovers and peaks in the September quarters, as evidenced by the ratios of 6.44 in September 2020, 6.44 in September 2021, and 6.49 in September 2022.
- Long-term Efficiency Trends
- While the cyclical nature of the business remains constant, there is a gradual downward trend in the turnover peaks. The September highs declined from 6.49 in 2022 to 5.91 in 2023, 5.76 in 2024, and 5.55 in 2025. A similar erosion is observed in the June troughs, which moved from 4.42 in 2021 to 4.03 in 2025. This suggests a slight deceleration in the velocity of receivables collection relative to the expanding revenue base.
- Correlation Between Receivables and Turnover
- The fluctuations in the turnover ratio correlate directly with periodic surges in net accounts receivable. Significant spikes in receivables—specifically in June 2021 (38,043 million USD), June 2022 (44,261 million USD), June 2023 (48,688 million USD), June 2024 (56,924 million USD), and June 2025 (69,905 million USD)—coincide with the annual lows in the turnover ratio, indicating a systemic accumulation of outstanding receivables during these quarters.
AI Ask an analyst for more
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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||||
| Cost of revenue | 26,828) | 25,978) | 24,043) | 24,014) | 21,919) | 21,799) | 20,099) | 19,684) | 18,505) | 19,623) | 16,302) | 16,795) | 16,128) | 17,488) | 15,452) | 16,429) | 15,615) | 16,960) | 13,646) | 13,991) | 13,045) | 14,194) | 11,002) | |||||||
| Accounts payable | 37,513) | 37,328) | 32,580) | 27,724) | 26,250) | 22,608) | 22,768) | 21,996) | 18,087) | 17,695) | 19,307) | 18,095) | 15,305) | 15,354) | 16,609) | 19,000) | 16,085) | 15,314) | 14,832) | 15,163) | 13,412) | 12,770) | 12,509) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Payables turnover1 | 2.69 | 2.57 | 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 | 3.44 | 3.77 | 3.80 | 3.73 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | ||||||||||||||||||||||||||||||
| Accenture PLC | — | 15.73 | 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 | 15.03 | 16.92 | 17.94 | 20.16 | |||||||
| 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 | 5.98 | 5.40 | 5.60 | 6.76 | |||||||
| AppLovin Corp. | — | — | 1.03 | 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. | 8.97 | 9.35 | 64.27 | 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. | — | — | 4.23 | 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 | — | — | — | — | |||||||
| International Business Machines Corp. | — | — | 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 | — | — | — | — | |||||||
| Intuit Inc. | 3.83 | 4.24 | 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 | 2.70 | 2.56 | 2.82 | 5.25 | |||||||
| Oracle Corp. | 2.23 | 1.89 | 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 | 10.54 | 9.49 | 10.71 | 14.72 | |||||||
| Palo Alto Networks Inc. | 10.16 | 10.00 | 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 | 22.41 | 16.80 | 25.37 | 21.85 | |||||||
| 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. | 21.83 | 21.88 | 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-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Payables turnover
= (Cost of revenueQ3 2026
+ Cost of revenueQ2 2026
+ Cost of revenueQ1 2026
+ Cost of revenueQ4 2025)
÷ Accounts payable
= (26,828 + 25,978 + 24,043 + 24,014)
÷ 37,513 = 2.69
2 Click competitor name to see calculations.
The financial data indicates a sustained expansion in operational scale, characterized by a consistent increase in both the cost of revenue and accounts payable over the analyzed period. While the cost of revenue grew from 11,002 million USD in September 2020 to 26,828 million USD by March 2026, accounts payable experienced a more pronounced increase, rising from 12,509 million USD to 37,513 million USD during the same timeframe.
- Cost of Revenue and Liability Growth
- A steady upward trajectory in the cost of revenue is observed, reflecting increased operational expenditures to support growth. Concurrently, accounts payable demonstrated significant growth, particularly in the latter half of the period. The increase in payables outpaced the growth in the cost of revenue, suggesting a strategic shift in how short-term obligations are managed.
- Payables Turnover Ratio Trends
- The payables turnover ratio remained relatively stable between September 2020 and December 2024, generally fluctuating between 3.30 and 4.28. This stability indicates a consistent cycle of payment to suppliers for several years. However, a distinct downward trend emerged starting in 2025, with the ratio declining from 3.17 in June 2025 to a period low of 2.57 in December 2025, before slightly recovering to 2.69 in March 2026.
- Operational Implications
- The declining turnover ratio in the final quarters indicates that the company is taking longer to settle its obligations with suppliers. This trend suggests an increase in the average payment period, which may be attributed to enhanced bargaining power with vendors or a strategic decision to preserve cash flow by extending payment terms. The divergence where accounts payable grew more rapidly than the costs they support confirms an intentional slowing of the payables cycle.
AI Ask an analyst for more
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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||||
| Current assets | 175,329) | 180,190) | 189,066) | 191,131) | 156,644) | 147,080) | 149,926) | 159,734) | 147,180) | 147,393) | 207,586) | 184,257) | 163,889) | 157,823) | 160,812) | 169,684) | 153,922) | 174,188) | 174,326) | 184,406) | 165,614) | 173,973) | 177,077) | |||||||
| Less: Current liabilities | 136,661) | 130,005) | 134,996) | 141,218) | 114,206) | 108,882) | 115,200) | 125,286) | 118,525) | 121,016) | 124,792) | 104,149) | 85,691) | 81,718) | 87,389) | 95,082) | 77,439) | 77,510) | 80,528) | 88,657) | 72,193) | 67,486) | 70,056) | |||||||
| Working capital | 38,668) | 50,185) | 54,070) | 49,913) | 42,438) | 38,198) | 34,726) | 34,448) | 28,655) | 26,377) | 82,794) | 80,108) | 78,198) | 76,105) | 73,423) | 74,602) | 76,483) | 96,678) | 93,798) | 95,749) | 93,421) | 106,487) | 107,021) | |||||||
| Revenue | 82,886) | 81,273) | 77,673) | 76,441) | 70,066) | 69,632) | 65,585) | 64,727) | 61,858) | 62,020) | 56,517) | 56,189) | 52,857) | 52,747) | 50,122) | 51,865) | 49,360) | 51,728) | 45,317) | 46,152) | 41,706) | 43,076) | 37,154) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Working capital turnover1 | 8.23 | 6.09 | 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 | 1.76 | 1.71 | 1.44 | 1.37 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||||||||
| Accenture PLC | — | 10.23 | 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 | 12.77 | 7.71 | 8.35 | 7.70 | |||||||
| 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 | 9.09 | 6.22 | 7.44 | 8.67 | |||||||
| AppLovin Corp. | — | — | 1.84 | 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. | 1.56 | 1.42 | 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. | — | — | 0.93 | 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 | — | — | — | — | |||||||
| International Business Machines Corp. | — | — | — | — | — | — | 273.18 | 46.83 | 37.03 | 17.08 | 14.55 | — | — | 31.12 | 12.14 | — | — | — | — | — | — | — | — | |||||||
| Intuit Inc. | 3.76 | 7.04 | 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 | 3.85 | 3.40 | 5.45 | 1.74 | |||||||
| Oracle Corp. | 4.53 | — | — | — | 113.15 | — | — | — | — | — | — | — | — | — | — | 3.50 | 3.86 | 3.39 | 1.70 | 1.29 | 1.69 | 1.58 | 1.26 | |||||||
| Palantir Technologies Inc. | — | — | 0.64 | 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. | — | 27.48 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 3.52 | — | 2.15 | |||||||
| Salesforce Inc. | — | 14.11 | 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. | — | 5.27 | 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 | 10.65 | 9.50 | 9.18 | 16.88 | |||||||
| Workday Inc. | 2.22 | 1.64 | 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-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Working capital turnover
= (RevenueQ3 2026
+ RevenueQ2 2026
+ RevenueQ1 2026
+ RevenueQ4 2025)
÷ Working capital
= (82,886 + 81,273 + 77,673 + 76,441)
÷ 38,668 = 8.23
2 Click competitor name to see calculations.
The analyzed period is characterized by a consistent expansion in revenue coupled with a significant structural reduction in working capital, resulting in a substantial increase in working capital turnover.
- Revenue Growth Trends
- A sustained upward trajectory in revenue is observed, rising from 37,154 million US dollars in September 2020 to 82,886 million US dollars by March 2026. This steady growth indicates a scalable increase in operational output and market penetration throughout the timeframe.
- Working Capital Dynamics
- Working capital levels exhibited three distinct phases. An initial gradual decline occurred from September 2020 to September 2022, where values dropped from 107,021 million US dollars to 73,423 million US dollars. Following a period of relative stability, a precipitous contraction was recorded in December 2023, with working capital falling to 26,377 million US dollars. From March 2024 through March 2026, the levels fluctuated between 28,655 million and 54,070 million US dollars, eventually settling at 38,668 million US dollars.
- Working Capital Turnover Analysis
- The working capital turnover ratio demonstrates a marked shift in capital efficiency. The ratio increased steadily from 1.37 in September 2020 to 2.77 by September 2022. A dramatic surge was observed in December 2023, with the ratio peaking at 8.63, which directly correlates with the sharp reduction in working capital. Although the ratio moderated to a range between 5.43 and 7.32 through mid-2025, it rose again to 8.23 by March 2026. This pattern indicates a transition toward a leaner operational model, where significantly lower levels of net current assets are supporting substantially higher revenue volumes.
AI Ask an analyst for more
Average Inventory Processing 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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Inventory turnover | 82.74 | 90.61 | 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 | 19.81 | 22.53 | 25.21 | 17.25 | |||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||||
| Average inventory processing period1 | 4 | 4 | 4 | 4 | 4 | 4 | 8 | 6 | 7 | 9 | 16 | 14 | 16 | 17 | 24 | 22 | 20 | 19 | 23 | 18 | 16 | 14 | 21 | |||||||
| 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 | — | — | — | — | |||||||
| International Business Machines Corp. | — | — | 19 | 16 | 18 | 17 | 19 | 17 | 18 | 16 | 16 | 15 | 19 | 20 | 21 | 20 | 23 | 22 | 24 | — | — | — | — | |||||||
| Synopsys Inc. | — | 70 | 72 | 82 | 104 | 115 | 123 | 106 | 117 | 113 | 115 | 97 | 88 | 82 | 74 | 73 | 79 | 82 | 85 | 97 | 103 | 100 | 104 | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 82.74 = 4
2 Click competitor name to see calculations.
The analysis of short-term operating activity ratios reveals a significant and sustained increase in inventory management efficiency over the period from September 30, 2020, to March 31, 2026. The data indicates a transition from moderate inventory turnover to a highly optimized, rapid processing cycle.
- Inventory Turnover Trends
- Between September 2020 and September 2022, inventory turnover remained relatively stable, fluctuating within a range of 15.10 to 25.21. A gradual upward trajectory began in late 2022, which evolved into a sharp acceleration starting in December 2023, where the ratio jumped to 42.63. This momentum continued through 2024 and 2025, peaking at 98.47 in March 2025. For the final year of the observed period, the ratio stabilized at a high level, consistently remaining above 80.
- Average Inventory Processing Period Analysis
- The time required to process inventory exhibited a corresponding decline. In the initial phase from September 2020 to September 2022, the processing period was volatile, oscillating between 14 and 24 days. A marked reduction occurred starting in December 2023, when the period dropped to 9 days. By December 31, 2024, the processing period reached a floor of 4 days, a level that was maintained without variance through March 31, 2026.
- Operational Efficiency Correlation
- There is a direct inverse correlation between the inventory turnover ratio and the average inventory processing period. The dramatic increase in turnover ratios after late 2023 is mirrored by the collapse of the processing period from an average of approximately 18 days in the early years to a constant 4 days in the final period. This suggests a fundamental shift in the operational model, resulting in an exceptionally lean inventory cycle where goods are moved through the system at a significantly faster rate.
AI Ask an analyst for more
Average Receivable Collection 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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Receivables turnover | 5.30 | 5.40 | 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 | 4.42 | 6.08 | 5.61 | 6.44 | |||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||||
| Average receivable collection period1 | 69 | 68 | 66 | 91 | 70 | 67 | 63 | 85 | 68 | 69 | 62 | 84 | 66 | 64 | 56 | 81 | 62 | 66 | 57 | 83 | 60 | 65 | 57 | |||||||
| 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 | 43 | 37 | 37 | 41 | |||||||
| AppLovin Corp. | — | — | 116 | 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. | 81 | 75 | 71 | 104 | 79 | 69 | 78 | 102 | 72 | 75 | 69 | 102 | 87 | 83 | 82 | 93 | 80 | 85 | 77 | — | — | — | — | |||||||
| Datadog Inc. | — | — | 68 | 79 | 62 | 73 | 63 | 81 | 70 | 81 | 73 | 87 | 73 | 64 | 75 | 87 | 83 | 82 | 84 | — | — | — | — | |||||||
| International Business Machines Corp. | — | — | 34 | 44 | 31 | 34 | 34 | 40 | 31 | 34 | 36 | 43 | 32 | 34 | 35 | 39 | 33 | 36 | 37 | — | — | — | — | |||||||
| Intuit Inc. | 15 | 21 | 11 | 10 | 15 | 22 | 9 | 10 | 18 | 22 | 9 | 10 | 19 | 24 | 11 | 13 | 21 | 28 | 15 | 15 | 23 | 22 | 5 | |||||||
| Oracle Corp. | 61 | 56 | 55 | 54 | 53 | 54 | 54 | 54 | 51 | 48 | 47 | 51 | 47 | 49 | 49 | 51 | 40 | 39 | 40 | 49 | 43 | 41 | 43 | |||||||
| Palantir Technologies Inc. | — | — | 98 | 85 | 94 | 79 | 85 | 73 | 92 | 97 | 76 | 60 | 74 | 67 | 47 | 49 | 68 | 56 | 57 | — | — | — | — | |||||||
| Palo Alto Networks Inc. | 98 | 78 | 51 | 117 | 80 | 64 | 50 | 119 | 80 | 92 | 72 | 130 | 81 | 76 | 78 | 142 | 88 | 72 | 65 | 106 | 70 | 65 | 69 | |||||||
| Salesforce Inc. | 50 | 52 | 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. | — | 53 | 75 | 78 | 79 | 59 | 54 | 56 | 48 | 50 | 65 | 59 | 44 | 54 | 73 | 57 | 50 | 55 | 84 | 49 | 52 | 56 | 75 | |||||||
| Workday Inc. | 69 | 66 | 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-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.30 = 69
2 Click competitor name to see calculations.
The average receivable collection period exhibits a pronounced cyclical pattern over the analyzed timeframe, characterized by recurring quarterly fluctuations. A consistent trend is observed where collection times peak in the second quarter ending June and reach their lowest points in the third quarter ending September.
- Seasonality and Cyclical Volatility
- The collection period consistently spikes during June, reaching 83 days in 2021, 81 days in 2022, 84 days in 2023, 85 days in 2024, and peaking at 91 days in June 2025. These peaks are followed by sharp declines by September, with values typically returning to a range between 56 and 66 days. This regularity suggests a systemic seasonal effect related to credit terms or billing cycles.
- Receivables Turnover Correlation
- An inverse relationship is maintained between the receivables turnover ratio and the average collection period. Turnover ratios typically peak in September, reaching highs of 6.44 and 6.49 in earlier cycles, and reach their lowest points in June, dropping as low as 4.03 by June 2025. The contraction of the turnover ratio coincides precisely with the expansion of the collection period.
- Long-term Efficiency Trend
- Despite the stability of the seasonal cycle, a gradual upward drift in the collection period is evident over the multi-year period. The September minimums have shifted from 57 days in 2020 to 66 days by 2025. Similarly, the June maximums have trended upward from 83 days in 2021 to 91 days in 2025. This indicates a slow but steady increase in the average duration required to convert accounts receivable into cash.
AI Ask an analyst for more
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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Average inventory processing period | 4 | 4 | 4 | 4 | 4 | 4 | 8 | 6 | 7 | 9 | 16 | 14 | 16 | 17 | 24 | 22 | 20 | 19 | 23 | 18 | 16 | 14 | 21 | |||||||
| Average receivable collection period | 69 | 68 | 66 | 91 | 70 | 67 | 63 | 85 | 68 | 69 | 62 | 84 | 66 | 64 | 56 | 81 | 62 | 66 | 57 | 83 | 60 | 65 | 57 | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Operating cycle1 | 73 | 72 | 70 | 95 | 74 | 71 | 71 | 91 | 75 | 78 | 78 | 98 | 82 | 81 | 80 | 103 | 82 | 85 | 80 | 101 | 76 | 79 | 78 | |||||||
| 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 | — | — | — | — | |||||||
| International Business Machines Corp. | — | — | 53 | 60 | 49 | 51 | 53 | 57 | 49 | 50 | 52 | 58 | 51 | 54 | 56 | 59 | 56 | 58 | 61 | — | — | — | — | |||||||
| Synopsys Inc. | — | 123 | 147 | 160 | 183 | 174 | 177 | 162 | 165 | 163 | 180 | 156 | 132 | 136 | 147 | 130 | 129 | 137 | 169 | 146 | 155 | 156 | 179 | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 4 + 69 = 73
2 Click competitor name to see calculations.
The operating cycle exhibits a combination of recurring seasonal volatility and a long-term trend toward increased efficiency in inventory management. While the collection of receivables remains subject to periodic fluctuations, the overall duration of the operating cycle has been compressed by a substantial reduction in the time required to process inventory.
- Average Inventory Processing Period
- A significant downward trend is observed in inventory processing efficiency. Between September 2020 and December 2022, the period fluctuated between 14 and 24 days. However, starting in March 2023, a consistent decline occurred, with the period dropping to 9 days by December 2023 and eventually stabilizing at 4 days from December 2024 through March 2026. This indicates a transition toward a highly streamlined inventory turnover process.
- Average Receivable Collection Period
- The collection period is characterized by marked cyclicality rather than a linear trend. Peaks in the collection period consistently occur during the June quarters, reaching 83 days in 2021, 81 days in 2022, 84 days in 2023, 85 days in 2024, and 91 days in 2025. Conversely, troughs are typically observed in the September quarters. This pattern suggests a recurring seasonal impact on the timing of cash inflows from customers.
- Operating Cycle
- The total operating cycle reflects the combined impact of the two aforementioned components. It fluctuates between a minimum of 71 days and a maximum of 103 days. The peaks in the operating cycle align precisely with the seasonal spikes in the receivable collection period. Despite this volatility, the baseline of the operating cycle has shifted lower over the analyzed period, driven primarily by the drastic reduction in the inventory processing period, which has offset the stability or slight increase in receivable collection times.
AI Ask an analyst for more
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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Payables turnover | 2.69 | 2.57 | 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 | 3.44 | 3.77 | 3.80 | 3.73 | |||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||||
| Average payables payment period1 | 136 | 142 | 130 | 115 | 115 | 103 | 107 | 108 | 93 | 94 | 106 | 100 | 85 | 86 | 94 | 111 | 98 | 97 | 99 | 106 | 97 | 96 | 98 | |||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | ||||||||||||||||||||||||||||||
| Accenture PLC | — | 23 | 23 | 21 | 21 | 21 | 21 | 23 | 19 | 19 | 22 | 21 | 20 | 21 | 21 | 22 | 22 | 21 | 22 | 24 | 22 | 20 | 18 | |||||||
| Adobe Inc. | — | — | 59 | 60 | 49 | 54 | 50 | 56 | 49 | 54 | 46 | 49 | 50 | 56 | 51 | 64 | 55 | 66 | 56 | 61 | 68 | 65 | 54 | |||||||
| AppLovin Corp. | — | — | 355 | 410 | 235 | 225 | 212 | 176 | 139 | 127 | 130 | 128 | 89 | 80 | 84 | 79 | 83 | 94 | 129 | — | — | — | — | |||||||
| CrowdStrike Holdings Inc. | 41 | 39 | 6 | 48 | 31 | 9 | 10 | 14 | 29 | 20 | 10 | 28 | 61 | 41 | 9 | 45 | 8 | 24 | 5 | — | — | — | — | |||||||
| Datadog Inc. | — | — | 86 | 79 | 77 | 120 | 64 | 76 | 71 | 96 | 56 | 78 | 78 | 45 | 41 | 25 | 32 | 61 | 26 | — | — | — | — | |||||||
| International Business Machines Corp. | — | — | 51 | 61 | 51 | 53 | 48 | 54 | 44 | 48 | 48 | 55 | 44 | 50 | 49 | 53 | 50 | 49 | 47 | — | — | — | — | |||||||
| Intuit Inc. | 95 | 86 | 63 | 75 | 98 | 105 | 67 | 76 | 95 | 87 | 71 | 74 | 111 | 103 | 92 | 112 | 145 | 158 | 105 | 135 | 142 | 129 | 70 | |||||||
| Oracle Corp. | 164 | 193 | 167 | 110 | 55 | 62 | 52 | 57 | 40 | 28 | 27 | 32 | 48 | 55 | 54 | 54 | 48 | 45 | 34 | 35 | 38 | 34 | 25 | |||||||
| Palo Alto Networks Inc. | 36 | 36 | 32 | 35 | 37 | 24 | 36 | 21 | 20 | 33 | 25 | 25 | 18 | 25 | 26 | 27 | 25 | 30 | 25 | 16 | 22 | 14 | 17 | |||||||
| ServiceNow Inc. | — | — | 48 | 25 | 19 | 30 | 47 | 11 | 28 | 52 | 41 | 24 | 14 | 36 | 51 | 64 | 46 | 65 | 43 | — | — | — | — | |||||||
| Workday Inc. | 17 | 17 | 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-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 2.69 = 136
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a distinct shift in the management of accounts payable over the period from September 2020 to March 2026. The trajectory is characterized by a period of relative stability followed by a significant expansion in the time taken to settle obligations with suppliers.
- Payables Turnover Trend
- Between September 2020 and December 2023, the payables turnover ratio remained relatively consistent, fluctuating within a range of 3.30 to 4.28. A peak efficiency in turnover was observed in March 2023 at 4.28. However, starting in early 2024, a sustained downward trend emerged. The ratio declined from 3.94 in December 2023 to a low of 2.57 by December 2025, before showing a slight recovery to 2.69 in March 2026. This decline indicates a reduction in the frequency with which accounts payable are cleared during the operating cycle.
- Average Payables Payment Period
- The average payables payment period mirrors the inverse movement of the turnover ratio. From September 2020 through December 2023, the payment cycle typically ranged between 85 and 111 days, with a notable low of 85 days in March 2023. A marked increase in the payment period began in 2024, with durations exceeding 100 days consistently. This trend accelerated throughout 2025, reaching a peak of 142 days in December 2025, before moderating slightly to 136 days in March 2026.
- Operational Implications
- The expansion of the payment period from approximately 90-100 days to over 130 days suggests a strategic shift in working capital management. By extending the duration of payables, the entity has effectively increased its available short-term liquidity and deferred cash outflows. While this optimizes the cash conversion cycle, the prolonged payment duration in the latter half of the analyzed period represents a significant departure from the historical operational norms established between 2020 and 2023.
AI Ask an analyst for more
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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Average inventory processing period | 4 | 4 | 4 | 4 | 4 | 4 | 8 | 6 | 7 | 9 | 16 | 14 | 16 | 17 | 24 | 22 | 20 | 19 | 23 | 18 | 16 | 14 | 21 | |||||||
| Average receivable collection period | 69 | 68 | 66 | 91 | 70 | 67 | 63 | 85 | 68 | 69 | 62 | 84 | 66 | 64 | 56 | 81 | 62 | 66 | 57 | 83 | 60 | 65 | 57 | |||||||
| Average payables payment period | 136 | 142 | 130 | 115 | 115 | 103 | 107 | 108 | 93 | 94 | 106 | 100 | 85 | 86 | 94 | 111 | 98 | 97 | 99 | 106 | 97 | 96 | 98 | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Cash conversion cycle1 | -63 | -70 | -60 | -20 | -41 | -32 | -36 | -17 | -18 | -16 | -28 | -2 | -3 | -5 | -14 | -8 | -16 | -12 | -19 | -5 | -21 | -17 | -20 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Cash Conversion Cycle, Competitors2 | ||||||||||||||||||||||||||||||
| International Business Machines Corp. | — | — | 2 | -1 | -2 | -2 | 5 | 3 | 5 | 2 | 4 | 3 | 7 | 4 | 7 | 6 | 6 | 9 | 14 | — | — | — | — | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 4 + 69 – 136 = -63
2 Click competitor name to see calculations.
The cash conversion cycle (CCC) remains consistently negative throughout the analyzed period, indicating a highly efficient operating liquidity model where cash is recovered from sales and collections before payments to suppliers are required. While the cycle exhibited volatility between -2 and -36 days from 2020 through 2024, a significant acceleration in efficiency occurred in late 2024 and 2025, with the cycle reaching a peak efficiency of -70 days.
- Average Inventory Processing Period
- A substantial reduction in inventory duration is observed. From September 2020 to September 2023, the processing period fluctuated between 14 and 24 days. However, a sharp downward trend began in December 2023, leading to a stabilized period of 4 days from December 2024 through March 2026. This suggests a shift toward highly lean inventory management or a change in the revenue mix favoring services over physical goods.
- Average Receivable Collection Period
- Receivable collections demonstrate recurring cyclical volatility rather than a sustained linear trend. The collection period generally fluctuates between 56 and 91 days, with notable peaks frequently appearing in the June quarters. As the only positive component of the CCC calculation, the collection period serves as the primary drag on the cycle's efficiency, though its volatility is offset by the performance of other metrics.
- Average Payables Payment Period
- The duration for settling supplier obligations shows a clear long-term upward trajectory. After maintaining a range between 85 and 111 days for several years, the payment period expanded significantly in 2025, reaching a high of 142 days in December 2025. This extension of payment terms indicates an increased capacity to leverage supplier credit as a source of interest-free financing.
The comprehensive analysis reveals that the deepening negative cash conversion cycle is driven primarily by the synergy between minimized inventory levels and extended payables periods. The increase in the CCC's negative value from -20 days in 2020 to -63 days by March 2026 highlights a strategic optimization of working capital, significantly enhancing the available internal liquidity.
AI Ask an analyst for more