Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
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Short-term Activity Ratios (Summary)
Based on: 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31).
The analysis of short-term operating activity reveals significant seasonality and shifts in working capital management over the observed period. The most prominent patterns are found in the receivables cycle, which exhibits a recurring quarterly fluctuation, and the payables cycle, which shows a general trend toward shorter payment durations.
- Receivables Management
- A distinct cyclical pattern is evident in receivables turnover and the average collection period. Turnover rates consistently peak during the July and October quarters, reaching highs such as 39.65 in July 2023 and 38.94 in October 2024. Conversely, turnover rates drop sharply every January, typically falling between 12.84 and 17.12. This is mirrored in the average receivable collection period, where the time to collect payments extends to a peak of 28 days in January 2022 and contracts to as few as 9 days in October 2023 and October 2024. This indicates a strong seasonal influence on the timing of revenue recognition and cash collection.
- Payables Management
- Payables turnover has remained relatively low but showed a gradual increase from the 2021-2022 period into 2025. The average payables payment period demonstrates a noticeable shift; during 2021 and 2022, the period frequently exceeded 100 days, peaking at 158 days in January 2022. From 2023 onward, there is a visible trend toward accelerated payments, with the payment period frequently dropping below 100 days and reaching a low of 63 days in July 2025. This suggests a strategic shift toward faster settlement of short-term obligations.
- Working Capital Efficiency
- Working capital turnover exhibits high volatility without a consistent linear trend. An extreme spike occurred in January 2022, where the ratio reached 21.87, followed by a period of stabilization between 3.76 and 15.31. The fluctuations in this ratio are largely driven by the volatility in the underlying components of working capital relative to revenue, reflecting an inconsistent rate of efficiency in utilizing short-term assets and liabilities to generate sales across the quarterly cycles.
Turnover Ratios
Average No. Days
Receivables Turnover
| Apr 30, 2026 | Jan 31, 2026 | Oct 31, 2025 | Jul 31, 2025 | Apr 30, 2025 | Jan 31, 2025 | Oct 31, 2024 | Jul 31, 2024 | Apr 30, 2024 | Jan 31, 2024 | Oct 31, 2023 | Jul 31, 2023 | Apr 30, 2023 | Jan 31, 2023 | Oct 31, 2022 | Jul 31, 2022 | Apr 30, 2022 | Jan 31, 2022 | Oct 31, 2021 | Jul 31, 2021 | Apr 30, 2021 | Jan 31, 2021 | Oct 31, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||||
| Net revenue | ||||||||||||||||||||||||||||||
| Accounts receivable, net | ||||||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Receivables turnover1 | ||||||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | ||||||||||||||||||||||||||||||
| Adobe Inc. | ||||||||||||||||||||||||||||||
| AppLovin Corp. | ||||||||||||||||||||||||||||||
| Cadence Design Systems Inc. | ||||||||||||||||||||||||||||||
| CrowdStrike Holdings Inc. | ||||||||||||||||||||||||||||||
| Datadog Inc. | ||||||||||||||||||||||||||||||
| International Business Machines Corp. | ||||||||||||||||||||||||||||||
| Microsoft Corp. | ||||||||||||||||||||||||||||||
| Oracle Corp. | ||||||||||||||||||||||||||||||
| Palantir Technologies Inc. | ||||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | ||||||||||||||||||||||||||||||
| Salesforce Inc. | ||||||||||||||||||||||||||||||
| ServiceNow Inc. | ||||||||||||||||||||||||||||||
| Synopsys Inc. | ||||||||||||||||||||||||||||||
| Workday Inc. | ||||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31).
1 Q3 2026 Calculation
Receivables turnover
= (Net revenueQ3 2026
+ Net revenueQ2 2026
+ Net revenueQ1 2026
+ Net revenueQ4 2025)
÷ Accounts receivable, net
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data demonstrates a strong cyclical pattern in both revenue generation and receivables management, closely aligned with a seasonal operational calendar. Net revenue exhibits significant spikes every April, with these peak values showing a consistent upward trajectory over the analyzed period, increasing from 4,173 million in April 2021 to 8,558 million by April 2026. Accounts receivable follow a distinct seasonal rhythm, typically peaking in January of each year, which suggests a concentrated period of credit extension or billing preceding the peak revenue window.
- Revenue and Receivables Correlation
- A recurring relationship is observed where the highest levels of accounts receivable are recorded in January, followed by the highest net revenue in April. This pattern indicates a business cycle where services are billed or recognized in a manner that creates a temporary buildup of receivables before the primary revenue realization phase. The absolute value of net receivables has generally increased over time, rising from a low of 99 million in October 2020 to a peak of 1,175 million in January 2026.
- Receivables Turnover Volatility
- The receivables turnover ratio exhibits high volatility and a rhythmic cyclicality. Lower turnover ratios are consistently observed in the January and April quarters, coinciding with the peaks in receivables and revenue. For instance, ratios frequently dip toward the 12 to 20 range during these periods, indicating a slower relative collection rate during the high-volume operational phase.
- Efficiency Peaks and Collection Trends
- Efficiency in receivables collection typically peaks in the July and October quarters. Turnover ratios often surge during these periods, frequently exceeding 30.00, such as the 39.65 recorded in October 2023 and 38.94 in October 2024. This suggests that once the peak seasonal demand subsides, the company rapidly converts its outstanding receivables into cash, effectively clearing the balance sheet before the next cycle begins.
- Long-term Ratio Stability
- Despite the quarterly fluctuations, the turnover ratio has maintained a relatively stable cyclical range from 2022 through 2026. The recurring swing between low-teens in the first half of the calendar year and mid-to-high thirties in the second half indicates a matured and predictable credit-to-cash cycle.
Payables Turnover
| Apr 30, 2026 | Jan 31, 2026 | Oct 31, 2025 | Jul 31, 2025 | Apr 30, 2025 | Jan 31, 2025 | Oct 31, 2024 | Jul 31, 2024 | Apr 30, 2024 | Jan 31, 2024 | Oct 31, 2023 | Jul 31, 2023 | Apr 30, 2023 | Jan 31, 2023 | Oct 31, 2022 | Jul 31, 2022 | Apr 30, 2022 | Jan 31, 2022 | Oct 31, 2021 | Jul 31, 2021 | Apr 30, 2021 | Jan 31, 2021 | Oct 31, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||||
| Cost of revenue | ||||||||||||||||||||||||||||||
| Accounts payable | ||||||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Payables turnover1 | ||||||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | ||||||||||||||||||||||||||||||
| Accenture PLC | ||||||||||||||||||||||||||||||
| Adobe Inc. | ||||||||||||||||||||||||||||||
| AppLovin Corp. | ||||||||||||||||||||||||||||||
| CrowdStrike Holdings Inc. | ||||||||||||||||||||||||||||||
| Datadog Inc. | ||||||||||||||||||||||||||||||
| International Business Machines Corp. | ||||||||||||||||||||||||||||||
| Microsoft Corp. | ||||||||||||||||||||||||||||||
| Oracle Corp. | ||||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | ||||||||||||||||||||||||||||||
| ServiceNow Inc. | ||||||||||||||||||||||||||||||
| Workday Inc. | ||||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31).
1 Q3 2026 Calculation
Payables turnover
= (Cost of revenueQ3 2026
+ Cost of revenueQ2 2026
+ Cost of revenueQ1 2026
+ Cost of revenueQ4 2025)
÷ Accounts payable
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The payables turnover ratio exhibits significant volatility and cyclicality over the analyzed period, reflecting fluctuating dynamics between cost of revenue and accounts payable management.
- Initial Contraction and Stabilization Phase
- A sharp decline in payables turnover is observed between October 2020 (5.25) and April 2021 (2.56). This trend continued through early 2022, with the ratio frequently remaining below 3.0. This period is characterized by a rapid increase in accounts payable that outpaced the growth in cost of revenue, suggesting an extension of payment terms or a strategic accumulation of short-term liabilities.
- Recovery and Peak Efficiency Period
- An upward trajectory began in late 2022, culminating in a peak of 5.12 in October 2023. This increase indicates a more accelerated payment cycle and a higher frequency of settling obligations relative to the cost of revenue. During this phase, the efficiency of payables management improved, reducing the average time liabilities remained outstanding.
- Recent Volatility and Current Trend
- The period from January 2024 to April 2026 is marked by substantial fluctuations. The ratio reached a historical peak of 5.83 in October 2025 before contracting to 3.83 by April 2026. This suggests a lack of long-term stability in payables turnover, likely driven by seasonal adjustments in operating costs and corresponding shifts in vendor payment strategies.
- Relationship Between Cost of Revenue and Payables
- Cost of revenue demonstrates a consistent long-term growth trend, rising from 256 million in October 2020 to 1,374 million by April 2026. While accounts payable generally increased over the same period, its growth was non-linear. The resulting divergence between these two figures is the primary driver of the observed fluctuations in the turnover ratio, indicating that the pace of expense growth and the pace of liability settlement have not moved in strict synchronization.
Working Capital Turnover
| Apr 30, 2026 | Jan 31, 2026 | Oct 31, 2025 | Jul 31, 2025 | Apr 30, 2025 | Jan 31, 2025 | Oct 31, 2024 | Jul 31, 2024 | Apr 30, 2024 | Jan 31, 2024 | Oct 31, 2023 | Jul 31, 2023 | Apr 30, 2023 | Jan 31, 2023 | Oct 31, 2022 | Jul 31, 2022 | Apr 30, 2022 | Jan 31, 2022 | Oct 31, 2021 | Jul 31, 2021 | Apr 30, 2021 | Jan 31, 2021 | Oct 31, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||||
| Current assets | ||||||||||||||||||||||||||||||
| Less: Current liabilities | ||||||||||||||||||||||||||||||
| Working capital | ||||||||||||||||||||||||||||||
| Net revenue | ||||||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Working capital turnover1 | ||||||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||||||||
| Accenture PLC | ||||||||||||||||||||||||||||||
| Adobe Inc. | ||||||||||||||||||||||||||||||
| AppLovin Corp. | ||||||||||||||||||||||||||||||
| Cadence Design Systems Inc. | ||||||||||||||||||||||||||||||
| CrowdStrike Holdings Inc. | ||||||||||||||||||||||||||||||
| Datadog Inc. | ||||||||||||||||||||||||||||||
| International Business Machines Corp. | ||||||||||||||||||||||||||||||
| Microsoft Corp. | ||||||||||||||||||||||||||||||
| Oracle Corp. | ||||||||||||||||||||||||||||||
| Palantir Technologies Inc. | ||||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | ||||||||||||||||||||||||||||||
| Salesforce Inc. | ||||||||||||||||||||||||||||||
| ServiceNow Inc. | ||||||||||||||||||||||||||||||
| Synopsys Inc. | ||||||||||||||||||||||||||||||
| Workday Inc. | ||||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31).
1 Q3 2026 Calculation
Working capital turnover
= (Net revenueQ3 2026
+ Net revenueQ2 2026
+ Net revenueQ1 2026
+ Net revenueQ4 2025)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data reveals a strong seasonal pattern in revenue generation coupled with significant volatility in working capital management. While net revenue exhibits a consistent upward trajectory over the long term, the working capital turnover ratio fluctuates sharply, reflecting varying levels of efficiency in utilizing short-term assets and liabilities to generate sales.
- Net Revenue Trends
- A pronounced seasonal cycle is evident, with peak revenues consistently occurring in the April quarters. These peaks have grown steadily from 4,173 million USD in April 2021 to 8,558 million USD by April 2026. Outside of these peak periods, revenue remains relatively stable but also shows a gradual increase over the analyzed timeframe.
- Working Capital Fluctuations
- Working capital levels demonstrate substantial instability, reaching a minimum of 522 million USD in January 2022 and a maximum of 5,561 million USD in April 2026. There is a notable increase in working capital in the latter part of the period, specifically from January 2024 onwards, suggesting a shift toward higher liquidity or increased operational investment.
- Working Capital Turnover Dynamics
- The turnover ratio experienced extreme volatility between 2021 and 2023, characterized by a significant spike to 21.87 in January 2022, which was driven by a sharp contraction in working capital rather than a revenue surge. In more recent periods, the ratio has stabilized but shows a downward trend during the seasonal peaks; the April turnover ratio declined from 5.15 in 2024 to 3.76 in 2026.
- Operational Efficiency Insights
- The divergence between growing net revenue and increasing working capital in the final quarters indicates a decrease in working capital efficiency. The reduction in the turnover ratio during the highest revenue months suggests that the company is requiring a larger base of working capital to support its expanded scale of operations, leading to a lower turnover rate despite higher absolute sales.
Average Receivable Collection Period
| Apr 30, 2026 | Jan 31, 2026 | Oct 31, 2025 | Jul 31, 2025 | Apr 30, 2025 | Jan 31, 2025 | Oct 31, 2024 | Jul 31, 2024 | Apr 30, 2024 | Jan 31, 2024 | Oct 31, 2023 | Jul 31, 2023 | Apr 30, 2023 | Jan 31, 2023 | Oct 31, 2022 | Jul 31, 2022 | Apr 30, 2022 | Jan 31, 2022 | Oct 31, 2021 | Jul 31, 2021 | Apr 30, 2021 | Jan 31, 2021 | Oct 31, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Receivables turnover | ||||||||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||||
| Average receivable collection period1 | ||||||||||||||||||||||||||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | ||||||||||||||||||||||||||||||
| Adobe Inc. | ||||||||||||||||||||||||||||||
| AppLovin Corp. | ||||||||||||||||||||||||||||||
| Cadence Design Systems Inc. | ||||||||||||||||||||||||||||||
| CrowdStrike Holdings Inc. | ||||||||||||||||||||||||||||||
| Datadog Inc. | ||||||||||||||||||||||||||||||
| International Business Machines Corp. | ||||||||||||||||||||||||||||||
| Microsoft Corp. | ||||||||||||||||||||||||||||||
| Oracle Corp. | ||||||||||||||||||||||||||||||
| Palantir Technologies Inc. | ||||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | ||||||||||||||||||||||||||||||
| Salesforce Inc. | ||||||||||||||||||||||||||||||
| ServiceNow Inc. | ||||||||||||||||||||||||||||||
| Synopsys Inc. | ||||||||||||||||||||||||||||||
| Workday Inc. | ||||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31).
1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The average receivable collection period exhibits a pronounced cyclical pattern characterized by significant seasonal volatility throughout the analyzed period. A consistent trend is observed where collection times lengthen during the first half of the calendar year and shorten significantly toward the end of the year.
- Seasonal Fluctuations
- A recurring peak in the collection period occurs systematically in January and April of each year. For instance, the collection period typically rises to between 18 and 28 days during these windows, suggesting a seasonal slowdown in receivable conversions or a shift in billing cycles. Conversely, a sharp contraction in the collection period is observed every July and October, with durations frequently dropping to between 9 and 15 days.
- Collection Efficiency Trends
- The most efficient collection windows are observed in the latter half of the year, particularly in October 2023 and October 2024, where the collection period reached its minimum of 9 days. This efficiency correlates directly with the peaks in receivables turnover, which reached highs of 39.65 and 38.94 during those respective periods, indicating a rapid conversion of receivables into cash.
- Volatility and Range Analysis
- The collection period fluctuates within a range of 5 to 28 days. The maximum duration of 28 days was recorded in January 2022, representing the point of lowest liquidity for receivables. Following this peak, the data shows a general stabilization of the seasonal swings, with the January peaks remaining relatively consistent between 16 and 22 days from 2023 through 2026.
- Correlation with Turnover Ratios
- There is a strict inverse relationship between the receivables turnover ratio and the average collection period. Whenever turnover ratios spike—typically exceeding 30.00 in the July and October quarters—the collection period drops to its lowest levels. This indicates that the operational volatility is not an indication of deteriorating credit quality, but rather a reflection of seasonal business activity.
Average Payables Payment Period
| Apr 30, 2026 | Jan 31, 2026 | Oct 31, 2025 | Jul 31, 2025 | Apr 30, 2025 | Jan 31, 2025 | Oct 31, 2024 | Jul 31, 2024 | Apr 30, 2024 | Jan 31, 2024 | Oct 31, 2023 | Jul 31, 2023 | Apr 30, 2023 | Jan 31, 2023 | Oct 31, 2022 | Jul 31, 2022 | Apr 30, 2022 | Jan 31, 2022 | Oct 31, 2021 | Jul 31, 2021 | Apr 30, 2021 | Jan 31, 2021 | Oct 31, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Payables turnover | ||||||||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||||
| Average payables payment period1 | ||||||||||||||||||||||||||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | ||||||||||||||||||||||||||||||
| Accenture PLC | ||||||||||||||||||||||||||||||
| Adobe Inc. | ||||||||||||||||||||||||||||||
| AppLovin Corp. | ||||||||||||||||||||||||||||||
| CrowdStrike Holdings Inc. | ||||||||||||||||||||||||||||||
| Datadog Inc. | ||||||||||||||||||||||||||||||
| International Business Machines Corp. | ||||||||||||||||||||||||||||||
| Microsoft Corp. | ||||||||||||||||||||||||||||||
| Oracle Corp. | ||||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | ||||||||||||||||||||||||||||||
| ServiceNow Inc. | ||||||||||||||||||||||||||||||
| Workday Inc. | ||||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-K (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-K (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-K (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-K (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-K (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31).
1 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The relationship between payables turnover and the average payables payment period exhibits a consistent inverse correlation throughout the analyzed timeframe. A significant expansion in the duration of payment cycles occurred between late 2020 and early 2022, followed by a general trend toward more accelerated settlement of obligations.
- Payables Turnover Volatility
- The payables turnover ratio experienced substantial fluctuations, reaching a minimum of 2.31 in January 2022. Following this trough, a recovery phase is observed, with the ratio peaking at 5.83 in July 2025. This indicates a transition from a slower cycle of clearing accounts payable to a more rapid turnover of liabilities in the latter half of the period.
- Average Payables Payment Period Trends
- A marked increase in the payment period is evident from October 2020 (70 days), climbing to a peak of 158 days by January 2022. This suggests a period of significantly extended credit utilization. Subsequently, a downward trajectory is observed, with the payment period contracting to 63 days by July 2025, before stabilizing in the 86 to 95-day range through April 2026.
- Operational Cash Flow Implications
- The peak in payment days during 2021 and 2022 indicates a strategic or circumstantial extension of supplier credit, which effectively preserved operational liquidity. The subsequent reduction in the payment period and the corresponding increase in turnover suggest a shift in working capital management, potentially reflecting improved liquidity positions or revised contractual terms with vendors.
- Recent Performance Stability
- From January 2024 through April 2026, the metrics show a pattern of moderate oscillation. While the payables turnover remained generally higher than in the 2021-2022 period, the average payment period settled into a range primarily between 63 and 105 days, reflecting a more standardized approach to liability management compared to the volatility seen in earlier years.