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: 2026-07-31), 10-Q (reporting date: 2026-04-30), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-K (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30).
The operating activity ratios exhibit a pronounced pattern of quarterly seasonality, particularly regarding receivables management, alongside significant volatility in working capital utilization over the analyzed period.
- Receivables Turnover and Collection Cycle
- A consistent cyclical trend is observed in receivables turnover, characterized by sharp declines every January. Turnover ratios typically fluctuate between 6.00 and 8.00 during the majority of the year but drop precipitously to a range between 2.72 and 3.17 during the January periods. This inverse relationship is mirrored in the average receivable collection period, which spikes from a baseline of 40 to 60 days to a peak of 115 to 134 days every January. This recurring pattern suggests a systemic timing difference in revenue recognition or billing cycles occurring at the end of the calendar year.
- Working Capital Efficiency
- Working capital turnover demonstrates extreme volatility and a lack of linear progression. An aggressive upward trend was noted between April 2021 and July 2023, with the ratio ascending from 4.36 to a peak of 99.31. However, this peak was followed by a sharp correction starting in October 2023, with values plummeting to 14.27 by January 2024. In the subsequent periods, the ratio has stabilized within a lower band, generally fluctuating between 14.11 and 42.35, indicating a shift in how current assets and liabilities are managed relative to revenue generation.
- Long-term Collection Trends
- Despite the seasonal January spikes, a gradual improvement in core collection efficiency is observable. Excluding the January anomalies, the average receivable collection period has trended downward, moving from a range of 52 to 63 days in 2021 to a more efficient range of 41 to 54 days by 2025 and 2026. This suggests an optimization of credit policies or an increase in the speed of cash inflows during standard operating quarters.
Turnover Ratios
Average No. Days
Receivables Turnover
| Jul 31, 2026 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Revenues | |||||||||||||||||||||||||||||
| Accounts receivable, net | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Receivables turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Adobe Inc. | |||||||||||||||||||||||||||||
| AppLovin Corp. | |||||||||||||||||||||||||||||
| Cadence Design Systems Inc. | |||||||||||||||||||||||||||||
| Datadog Inc. | |||||||||||||||||||||||||||||
| International Business Machines Corp. | |||||||||||||||||||||||||||||
| Intuit Inc. | |||||||||||||||||||||||||||||
| Microsoft Corp. | |||||||||||||||||||||||||||||
| Oracle Corp. | |||||||||||||||||||||||||||||
| Palantir Technologies Inc. | |||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | |||||||||||||||||||||||||||||
| ServiceNow Inc. | |||||||||||||||||||||||||||||
| Synopsys Inc. | |||||||||||||||||||||||||||||
| Workday Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-07-31), 10-Q (reporting date: 2026-04-30), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-K (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30).
1 Q2 2027 Calculation
Receivables turnover
= (RevenuesQ2 2027
+ RevenuesQ1 2027
+ RevenuesQ4 2026
+ RevenuesQ3 2026)
÷ Accounts receivable, net
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial performance exhibits a consistent growth trajectory in total revenues alongside a highly cyclical pattern in receivables management. While revenues have nearly doubled over the analyzed period, the receivables turnover ratio demonstrates a repeating seasonal fluctuation that aligns with the company's fiscal year-end.
- Revenue Growth Trend
- Total revenues demonstrate a steady upward trend, rising from 5,963 million US dollars in April 2021 to 11,345 million US dollars by July 2026. This growth is characterized by consistent quarterly increments, indicating a stable expansion of the top-line financial performance.
- Cyclicality of Accounts Receivable
- Accounts receivable exhibit a sharp and recurring spike every January. Notable peaks occurred in January 2022 (9,739 million), January 2023 (10,755 million), January 2024 (11,414 million), January 2025 (11,945 million), and January 2026 (14,339 million). These periodic increases suggest a concentrated billing cycle or a seasonal accumulation of outstanding invoices coinciding with the end of the fiscal year.
- Receivables Turnover Volatility
- The receivables turnover ratio inversely mirrors the balance sheet spikes. The ratio typically maintains a range between 6.0 and 8.0 for three quarters of the year but drops precipitously every January, falling to levels between 2.72 and 3.17. This pattern indicates that while collection efficiency remains high throughout most of the year, the fiscal year-end creates a temporary and predictable decrease in the turnover rate.
- Comparative Efficiency Analysis
- Despite the seasonal volatility, the peak turnover ratios have shown a gradual improvement over the long term. The ratios observed in the April quarters increased from 7.04 in 2021 to 8.43 in 2026. This suggests an enhancement in the company's ability to convert receivables into cash during its standard operating periods, even as the total volume of receivables has grown.
Working Capital Turnover
| Jul 31, 2026 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Current assets | |||||||||||||||||||||||||||||
| Less: Current liabilities | |||||||||||||||||||||||||||||
| Working capital | |||||||||||||||||||||||||||||
| Revenues | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Working capital turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Accenture PLC | |||||||||||||||||||||||||||||
| Adobe Inc. | |||||||||||||||||||||||||||||
| AppLovin Corp. | |||||||||||||||||||||||||||||
| Cadence Design Systems Inc. | |||||||||||||||||||||||||||||
| Datadog Inc. | |||||||||||||||||||||||||||||
| International Business Machines Corp. | |||||||||||||||||||||||||||||
| Intuit Inc. | |||||||||||||||||||||||||||||
| Microsoft Corp. | |||||||||||||||||||||||||||||
| Oracle Corp. | |||||||||||||||||||||||||||||
| Palantir Technologies Inc. | |||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | |||||||||||||||||||||||||||||
| ServiceNow Inc. | |||||||||||||||||||||||||||||
| Synopsys Inc. | |||||||||||||||||||||||||||||
| Workday Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-07-31), 10-Q (reporting date: 2026-04-30), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-K (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30).
1 Q2 2027 Calculation
Working capital turnover
= (RevenuesQ2 2027
+ RevenuesQ1 2027
+ RevenuesQ4 2026
+ RevenuesQ3 2026)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial performance over the analyzed period is characterized by steady revenue growth contrasted with significant volatility in working capital management. While the top-line revenue demonstrates a consistent upward trajectory, the working capital base has undergone substantial fluctuations, eventually shifting into a sustained negative position in the final year of the sequence.
- Revenue Growth Trends
- A consistent expansion in revenue is observed, rising from 5,963 million US dollars in April 2021 to 11,345 million US dollars by July 2026. This growth pattern is largely linear, indicating a steady increase in the scale of operations and market penetration over the five-year period.
- Working Capital Volatility and Structural Shift
- Working capital exhibits extreme variance throughout the period. Initial levels were high at 5,121 million US dollars in April 2021, followed by a period of fluctuation between positive and negative values. A notable peak occurred in July 2025 at 2,799 million US dollars, which was immediately followed by a sharp decline. From October 2025 through July 2026, working capital entered a deep negative phase, reaching a low of -8,896 million US dollars in January 2026. This transition suggests a fundamental shift in the balance sheet structure, potentially driven by an increase in current liabilities or a strategic reduction in current assets.
- Working Capital Turnover Analysis
- The working capital turnover ratio shows high instability, reflecting the volatility of the underlying working capital. The ratio peaked at 99.31 in July 2023, a result of high revenue coupled with a minimal working capital base of 333 million US dollars. Subsequent periods saw a decrease in turnover efficiency, falling to 14.11 by July 2025. In the final four quarters, the turnover ratio is not calculable or reported, which coincides with the shift to negative working capital. This indicates that the company is operating with a negative net working capital position, meaning current liabilities exceed current assets, rendering traditional turnover ratios inapplicable.
Average Receivable Collection Period
| Jul 31, 2026 | 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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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. | |||||||||||||||||||||||||||||
| Datadog Inc. | |||||||||||||||||||||||||||||
| International Business Machines Corp. | |||||||||||||||||||||||||||||
| Intuit Inc. | |||||||||||||||||||||||||||||
| Microsoft Corp. | |||||||||||||||||||||||||||||
| Oracle Corp. | |||||||||||||||||||||||||||||
| Palantir Technologies Inc. | |||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | |||||||||||||||||||||||||||||
| ServiceNow Inc. | |||||||||||||||||||||||||||||
| Synopsys Inc. | |||||||||||||||||||||||||||||
| Workday Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-07-31), 10-Q (reporting date: 2026-04-30), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-K (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30).
1 Q2 2027 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a pronounced cyclical pattern in the management of accounts receivable, characterized by significant fluctuations that recur on an annual basis. This periodicity is evident in both the receivables turnover ratio and the average receivable collection period, suggesting a strong correlation between the timing of revenue recognition or billing cycles and the actual collection of cash.
- Seasonal Volatility and Periodic Spikes
- A recurring trend is observed every January, where the average receivable collection period increases sharply, peaking between 115 and 134 days. Correspondingly, the receivables turnover ratio drops significantly during these periods, typically falling to a range between 2.72 and 3.17. This cyclical surge in collection time suggests a seasonal lag in payments or a specific structural timing difference in how contracts are billed and collected at the end of the fiscal year.
- Baseline Operational Efficiency
- Outside of the January anomalies, the collection period demonstrates a general trend toward improved efficiency. From April 2021 to July 2026, the non-peak collection days have trended downward from a range of 52 to 63 days toward a more optimized range of 41 to 54 days. This improvement is mirrored by a gradual increase in the receivables turnover ratio during these quarters, which rose from approximately 6.0 to over 8.0 in several instances, indicating a more rapid conversion of receivables into cash.
- Correlation Between Turnover and Collection Period
- The data confirms a strict inverse relationship between the turnover ratio and the collection period. The highest efficiency levels are recorded in the April quarters, where the collection period reached its lowest point of 41 days in April 2025, coinciding with a turnover ratio peak of 8.86. This relationship underscores a consistent operational mechanism where increases in turnover directly reduce the number of days required to collect outstanding payments.