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: 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), 10-K (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-K (reporting date: 2020-01-31), 10-Q (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30).
The analysis of the quarterly financial data reveals distinct trends and fluctuations across the three key ratios over the examined periods.
- Receivables Turnover Ratio
- This ratio displays a cyclical pattern, alternating between lower and higher values approximately every four quarters. Initial values around 2.7 to 3.0 occur in certain quarters, followed by a rise to a range between 5.6 and 8.9 in subsequent quarters. Over time, the peaks tend to increase progressively, with the highest observed surpassing 8.8 in the latest periods. This pattern suggests a recurring cycle in the efficiency of receivables collection, with improving turnover rates during peak periods.
- Working Capital Turnover Ratio
- The working capital turnover exhibits significant volatility. Earlier quarters show moderate to low values, ranging roughly from 4 to 15, with some missing data points. From the mid-point of the timeline onward, there is a dramatic increase in the ratio, reaching values exceeding 90 and nearing 100 at certain points. However, these spikes are not sustained continuously and are followed by sharp decreases. This inconsistency indicates fluctuations in the management of working capital relative to sales, with periods of highly efficient turnover that are not stable over time.
- Average Receivable Collection Period (Days)
- The collection period inversely correlates to receivables turnover and confirms the cyclical nature observed. It oscillates between longer durations near 130 to 135 days and shorter periods in the low 40s to 60s, matching the periods of low and high receivables turnover respectively. Notably, the overall trend shows a gradual decline in the average collection days from above 130 in earlier periods to around 115 in the latest quarters, indicating an improvement in the speed of accounts receivable collection over the broader timeframe.
In summary, the data suggests a pattern of cyclical efficiency in receivables management, with periods of improved turnover and reduced collection times. Working capital turnover shows considerable volatility with intermittent peaks of exceptional performance, which may warrant further investigation to understand the underlying causes and sustainability. Overall, receivables management appears to have improved progressively, as evidenced by decreasing collection periods and increasing peak turnover ratios.
Turnover Ratios
Average No. Days
Receivables Turnover
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 | Jul 31, 2020 | Apr 30, 2020 | Jan 31, 2020 | Oct 31, 2019 | Jul 31, 2019 | Apr 30, 2019 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||||||
Revenues | 9,829) | 9,993) | 9,444) | 9,325) | 9,133) | 9,287) | 8,720) | 8,603) | 8,247) | 8,384) | 7,837) | 7,720) | 7,411) | 7,326) | 6,863) | 6,340) | 5,963) | 5,817) | 5,419) | 5,151) | 4,865) | 4,851) | 4,513) | 3,997) | 3,737) | ||||||||
Accounts receivable, net | 4,354) | 11,945) | 4,741) | 5,391) | 4,273) | 11,414) | 4,850) | 5,400) | 4,632) | 10,755) | 4,275) | 4,745) | 3,952) | 9,739) | 4,019) | 4,074) | 3,174) | 7,786) | 3,316) | 3,445) | 3,076) | 6,174) | 2,573) | 2,332) | 2,153) | ||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||||||
Receivables turnover1 | 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 | 2.73 | 6.12 | 5.63 | 5.93 | 2.77 | — | — | — | ||||||||
Benchmarks | |||||||||||||||||||||||||||||||||
Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||||||
Adobe Inc. | — | — | — | 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 | 9.20 | 9.44 | 8.82 | 8.40 | ||||||||
Cadence Design Systems Inc. | — | — | — | — | 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 | 8.85 | 9.09 | 7.41 | 7.21 | 7.93 | — | — | — | ||||||||
CrowdStrike Holdings Inc. | 5.11 | 3.50 | 4.60 | 5.32 | 4.67 | 3.58 | 5.07 | 4.90 | 5.30 | 3.58 | 4.19 | 4.38 | 4.43 | 3.94 | 4.54 | 4.27 | 4.73 | 3.66 | 4.41 | 4.38 | 3.91 | 2.92 | — | — | — | ||||||||
Fair Isaac Corp. | — | — | — | 3.74 | 5.06 | 4.03 | 3.78 | 3.42 | 4.22 | 3.90 | 3.83 | 4.21 | 4.54 | 4.27 | 4.76 | 4.95 | 5.10 | 4.22 | 4.83 | 5.03 | 4.21 | 3.87 | 4.04 | 3.99 | 4.25 | ||||||||
International Business Machines Corp. | — | — | — | — | 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 | 8.49 | 9.23 | 9.57 | 10.72 | 10.32 | — | — | — | ||||||||
Intuit Inc. | — | — | 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 | 51.54 | 31.31 | 11.82 | 66.66 | ||||||||
Microsoft Corp. | — | — | 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 | 4.47 | 6.11 | 5.71 | 6.80 | ||||||||
Oracle Corp. | — | 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 | 7.04 | — | — | — | ||||||||
Palantir Technologies Inc. | — | — | — | — | 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 | 8.08 | — | — | — | — | — | — | — | ||||||||
Palo Alto Networks Inc. | — | — | 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 | 3.29 | 4.88 | 5.78 | 6.04 | ||||||||
ServiceNow Inc. | — | — | — | — | 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 | 4.24 | 7.13 | 6.62 | 7.49 | 4.48 | — | — | — | ||||||||
Synopsys Inc. | — | — | — | 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 | 4.72 | 5.50 | 5.36 | 4.22 | ||||||||
Workday Inc. | 6.38 | 4.33 | 5.81 | 6.09 | 6.68 | 4.43 | 5.70 | 5.28 | 5.94 | 3.96 | 5.71 | 5.13 | 6.94 | 4.14 | 5.66 | 5.35 | 6.91 | 4.18 | 5.60 | 5.75 | 6.54 | 4.13 | — | — | — |
Based on: 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), 10-K (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-K (reporting date: 2020-01-31), 10-Q (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30).
1 Q1 2026 Calculation
Receivables turnover
= (RevenuesQ1 2026
+ RevenuesQ4 2025
+ RevenuesQ3 2025
+ RevenuesQ2 2025)
÷ Accounts receivable, net
= (9,829 + 9,993 + 9,444 + 9,325)
÷ 4,354 = 8.86
2 Click competitor name to see calculations.
- Revenues
- Revenues demonstrate a generally increasing trend over the observed period. Starting from approximately $3.74 billion in April 2019, revenues steadily rise, reaching a peak of around $9.29 billion in January 2024. There are minor fluctuations observed, such as a slight dip after January 2024, but the overall trajectory remains upward. Notable growth phases occur between early 2020 and early 2021, as well as from early 2023 to early 2024, reflecting consistent expansion in revenue generation.
- Accounts Receivable, Net
- Accounts receivable values exhibit significant volatility throughout the time frame. Initially, numbers increase moderately from $2.15 billion in April 2019 to a substantial jump at multiple quarterly points, notably $6.17 billion in January 2020, $7.79 billion in January 2021, $9.74 billion in January 2022, $10.76 billion in January 2023, $11.41 billion in January 2024, and $11.95 billion in January 2025, usually peaking in the January quarters each year. The remaining quarters often display lower balances. This cyclic pattern might suggest seasonality in receivables or billing schedules causing recurrent quarterly spikes.
- Receivables Turnover Ratio
- The receivables turnover ratio presents a clear alternating pattern that coincides inversely with the spikes in accounts receivable. During quarters with high accounts receivable balances, turnover ratios drop significantly to approximately 2.7 to 3.2, indicating a slower collection pace during those periods. Conversely, in quarters with lower receivable balances, turnover ratio spikes to values between about 5.6 and 8.9, reflecting faster collections. This recurring oscillation signals a consistent seasonal effect on receivables management and collection efficiency.
Working Capital Turnover
Apr 30, 2025 | Jan 31, 2025 | Oct 31, 2024 | Jul 31, 2024 | Apr 30, 2024 | Jan 31, 2024 | Oct 31, 2023 | Jul 31, 2023 | Apr 30, 2023 | Jan 31, 2023 | Oct 31, 2022 | Jul 31, 2022 | Apr 30, 2022 | Jan 31, 2022 | Oct 31, 2021 | Jul 31, 2021 | Apr 30, 2021 | Jan 31, 2021 | Oct 31, 2020 | Jul 31, 2020 | Apr 30, 2020 | Jan 31, 2020 | Oct 31, 2019 | Jul 31, 2019 | Apr 30, 2019 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||||||
Current assets | 25,866) | 29,727) | 21,425) | 21,862) | 25,604) | 29,074) | 20,202) | 21,138) | 21,981) | 26,395) | 19,209) | 21,246) | 20,411) | 22,850) | 15,957) | 16,256) | 20,444) | 21,889) | 14,946) | 14,846) | 14,713) | 15,963) | 11,026) | 9,903) | 10,035) | ||||||||
Less: Current liabilities | 24,196) | 27,980) | 19,375) | 21,001) | 23,149) | 26,631) | 19,394) | 20,805) | 21,626) | 25,891) | 18,227) | 20,080) | 19,899) | 21,788) | 15,035) | 17,393) | 15,323) | 17,728) | 12,234) | 12,963) | 12,843) | 14,845) | 10,474) | 10,195) | 10,488) | ||||||||
Working capital | 1,670) | 1,747) | 2,050) | 861) | 2,455) | 2,443) | 808) | 333) | 355) | 504) | 982) | 1,166) | 512) | 1,062) | 922) | (1,137) | 5,121) | 4,161) | 2,712) | 1,883) | 1,870) | 1,118) | 552) | (292) | (453) | ||||||||
Revenues | 9,829) | 9,993) | 9,444) | 9,325) | 9,133) | 9,287) | 8,720) | 8,603) | 8,247) | 8,384) | 7,837) | 7,720) | 7,411) | 7,326) | 6,863) | 6,340) | 5,963) | 5,817) | 5,419) | 5,151) | 4,865) | 4,851) | 4,513) | 3,997) | 3,737) | ||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||||||
Working capital turnover1 | 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 | 5.11 | 7.48 | 10.29 | 9.75 | 15.29 | — | — | — | ||||||||
Benchmarks | |||||||||||||||||||||||||||||||||
Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||||||
Accenture PLC | — | — | 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 | 8.71 | 10.32 | 10.56 | 9.98 | ||||||||
Adobe Inc. | — | — | — | — | 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 | 4.89 | 5.51 | 8.11 | 9.50 | ||||||||
Cadence Design Systems Inc. | — | — | — | — | 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 | 4.01 | 4.68 | 5.45 | 5.03 | 3.94 | — | — | — | ||||||||
CrowdStrike Holdings Inc. | 1.48 | 1.49 | 1.45 | 1.43 | 1.52 | 1.48 | 1.65 | 1.45 | 1.50 | 1.46 | 1.47 | 1.38 | 1.32 | 1.25 | 1.15 | 1.02 | 0.95 | 0.61 | 1.19 | 0.92 | 0.81 | 0.71 | — | — | — | ||||||||
Fair Isaac Corp. | — | — | — | 4.82 | 6.71 | 7.24 | 5.63 | 4.92 | 11.73 | 8.02 | 8.09 | 9.61 | 10.86 | 8.99 | 15.25 | 13.60 | 9.46 | — | 111.99 | 25.98 | 11.15 | 10.83 | 53.70 | 318.71 | 63.09 | ||||||||
International Business Machines Corp. | — | — | — | — | 273.18 | 46.83 | 37.03 | 17.08 | 14.55 | — | — | 31.12 | 12.14 | — | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Intuit Inc. | — | — | 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 | 1.73 | 3.19 | 4.80 | 4.93 | ||||||||
Microsoft Corp. | — | — | 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 | 1.30 | 1.24 | 1.25 | 1.20 | ||||||||
Oracle Corp. | — | — | 113.15 | — | — | — | — | — | — | — | — | — | — | 3.50 | 3.86 | 3.39 | 1.70 | 1.29 | 1.69 | 1.58 | 1.26 | 1.12 | — | — | — | ||||||||
Palantir Technologies Inc. | — | — | — | — | 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 | 0.70 | — | — | — | — | — | — | — | ||||||||
Palo Alto Networks Inc. | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 3.52 | — | 2.15 | 1.40 | 4.81 | 1.80 | 1.89 | ||||||||
ServiceNow Inc. | — | — | — | — | 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 | 21.76 | 11.15 | 16.31 | 5.62 | 5.76 | — | — | — | ||||||||
Synopsys Inc. | — | — | — | 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 | 9.00 | 27.06 | — | — | ||||||||
Workday Inc. | 1.69 | 1.69 | 1.75 | 1.68 | 1.70 | 1.49 | 1.54 | 1.60 | 1.69 | 1.79 | 1.83 | 1.93 | 2.03 | 35.15 | 11.69 | 24.99 | — | 8.31 | 12.50 | 3.44 | 5.62 | 28.97 | — | — | — |
Based on: 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), 10-K (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-K (reporting date: 2020-01-31), 10-Q (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30).
1 Q1 2026 Calculation
Working capital turnover
= (RevenuesQ1 2026
+ RevenuesQ4 2025
+ RevenuesQ3 2025
+ RevenuesQ2 2025)
÷ Working capital
= (9,829 + 9,993 + 9,444 + 9,325)
÷ 1,670 = 23.11
2 Click competitor name to see calculations.
The financial data over multiple periods reveals notable fluctuations and trends in working capital, revenues, and working capital turnover ratios.
- Working Capital
- Working capital exhibits substantial variability across the periods. Initially, negative values are observed, starting at -453 million USD in April 2019, improving to a positive 552 million USD by October 2019, and continuing to increase significantly until it peaks at 5,121 million USD in April 2021. This is followed by a sharp drop to -1,137 million USD in July 2021, indicating high volatility. After this dip, the working capital shows a recovery pattern, fluctuating but generally trending positively around the 1,000 million USD range through early 2023. Towards 2024 and into early 2025, the working capital demonstrates moderate positive values, with some variability but no severe drops akin to earlier periods.
- Revenues
- Revenue figures display a consistent upward trend throughout the periods analyzed. Starting from 3,737 million USD in April 2019, revenues steadily increase, surpassing 9,000 million USD by mid-2023 and reaching near 9,993 million USD in January 2025. Although minor fluctuations appear between some quarters, the overall direction is one of sustained growth, reflecting a strong sales or service performance over the observed timeline.
- Working Capital Turnover Ratio
- The working capital turnover ratio data is sparse before October 2019 but presents high variability in the available periods. Initial ratios indicate very high turnover values (15.29 in October 2019), remaining elevated though somewhat declining to around 4.36 in April 2021. Subsequently, there is a dramatic increase with a peak ratio of 99.31 in July 2023, suggesting highly efficient utilization of working capital to generate revenues during that time. The ratio later declines but remains at relatively high levels compared to earlier periods. Such fluctuations might reflect changes in either working capital management effectiveness or shifts in operational requirements over time.
In summary, while revenues have displayed consistent growth, working capital shows significant volatility, which has impacted working capital turnover ratios with sharp rises and falls. The pattern suggests periods of strategic adjustments or operational shifts influencing liquidity management, while revenue growth suggests underlying business expansion or increasing market penetration.
Average Receivable Collection Period
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 | Jul 31, 2020 | Apr 30, 2020 | Jan 31, 2020 | Oct 31, 2019 | Jul 31, 2019 | Apr 30, 2019 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||||||
Receivables turnover | 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 | 2.73 | 6.12 | 5.63 | 5.93 | 2.77 | — | — | — | ||||||||
Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||
Average receivable collection period1 | 41 | 115 | 47 | 54 | 44 | 120 | 52 | 60 | 53 | 125 | 52 | 59 | 52 | 134 | 59 | 63 | 52 | 134 | 60 | 65 | 62 | 132 | — | — | — | ||||||||
Benchmarks (no. days) | |||||||||||||||||||||||||||||||||
Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||||||
Adobe Inc. | — | — | — | 28 | 33 | 35 | 31 | 29 | 38 | 42 | 36 | 33 | 37 | 43 | 37 | 35 | 38 | 43 | 37 | 37 | 41 | 40 | 39 | 41 | 43 | ||||||||
Cadence Design Systems Inc. | — | — | — | — | 43 | 54 | 47 | 50 | 35 | 44 | 40 | 42 | 48 | 50 | 42 | 44 | 42 | 41 | 40 | 49 | 51 | 46 | — | — | — | ||||||||
CrowdStrike Holdings Inc. | 71 | 104 | 79 | 69 | 78 | 102 | 72 | 75 | 69 | 102 | 87 | 83 | 82 | 93 | 80 | 85 | 77 | 100 | 83 | 83 | 93 | 125 | — | — | — | ||||||||
Fair Isaac Corp. | — | — | — | 98 | 72 | 91 | 97 | 107 | 86 | 94 | 95 | 87 | 80 | 85 | 77 | 74 | 72 | 87 | 76 | 73 | 87 | 94 | 90 | 91 | 86 | ||||||||
International Business Machines Corp. | — | — | — | — | 34 | 40 | 31 | 34 | 36 | 43 | 32 | 34 | 35 | 39 | 33 | 36 | 37 | 43 | 40 | 38 | 34 | 35 | — | — | — | ||||||||
Intuit Inc. | — | — | 15 | 22 | 9 | 10 | 18 | 22 | 9 | 10 | 19 | 24 | 11 | 13 | 21 | 28 | 15 | 15 | 23 | 22 | 5 | 7 | 12 | 31 | 5 | ||||||||
Microsoft Corp. | — | — | 70 | 67 | 63 | 85 | 68 | 69 | 62 | 84 | 66 | 64 | 56 | 81 | 62 | 66 | 57 | 83 | 60 | 65 | 57 | 82 | 60 | 64 | 54 | ||||||||
Oracle Corp. | — | 54 | 53 | 54 | 54 | 54 | 51 | 48 | 47 | 51 | 47 | 49 | 49 | 51 | 40 | 39 | 40 | 49 | 43 | 41 | 43 | 52 | — | — | — | ||||||||
Palantir Technologies Inc. | — | — | — | — | 85 | 73 | 92 | 97 | 76 | 60 | 74 | 67 | 47 | 49 | 68 | 56 | 57 | 45 | — | — | — | — | — | — | — | ||||||||
Palo Alto Networks Inc. | — | — | 80 | 64 | 50 | 119 | 80 | 92 | 72 | 130 | 81 | 76 | 78 | 142 | 88 | 72 | 65 | 106 | 70 | 65 | 69 | 111 | 75 | 63 | 60 | ||||||||
ServiceNow Inc. | — | — | — | — | 43 | 74 | 46 | 56 | 50 | 83 | 50 | 50 | 53 | 87 | 47 | 47 | 48 | 86 | 51 | 55 | 49 | 82 | — | — | — | ||||||||
Synopsys Inc. | — | — | — | 59 | 54 | 56 | 48 | 50 | 65 | 59 | 44 | 54 | 73 | 57 | 50 | 55 | 84 | 49 | 52 | 56 | 75 | 77 | 66 | 68 | 86 | ||||||||
Workday Inc. | 57 | 84 | 63 | 60 | 55 | 82 | 64 | 69 | 61 | 92 | 64 | 71 | 53 | 88 | 65 | 68 | 53 | 87 | 65 | 63 | 56 | 88 | — | — | — |
Based on: 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), 10-K (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-K (reporting date: 2020-01-31), 10-Q (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30).
1 Q1 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 8.86 = 41
2 Click competitor name to see calculations.
The receivables turnover ratio and the average receivable collection period display a recurring cyclical pattern indicative of seasonal or operational fluctuations over the quarters analyzed.
- Receivables Turnover Ratio
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The ratio exhibits a notable alternating pattern between lower values around 2.7 to 3.2 and higher values approximately between 5.6 and 8.9. Typically, lower turnover ratios are observed in the first quarter of each year—April periods—indicating slower collection relative to sales during these times. Conversely, the subsequent quarters, particularly from July through January, show higher turnover ratios, peaking in some periods above 8.0, reflecting a more efficient collection process.
Over the entire timespan, there is a subtle upward trend in the peak turnover ratios, increasing from around 5.9 in mid-2019 to values close to 8.9 by early 2025, suggesting an improvement in receivables management capacity or collection efficiency during those quarters.
- Average Receivable Collection Period
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This metric varies inversely relative to the turnover ratio, as expected. Periods with lower turnover ratios correspond to longer average collection days, consistently near 120 to 135 days, typically observed in April each year. Quarters following these peaks experience a reduction in collection days, often dropping to the low 40s or 50s, indicating faster cash conversion cycles.
Like the turnover ratio, the average collection period shows a gradual improvement over the recorded timeline, decreasing from approximately 130+ days in early years to around 115 days by April 2025 in the slower collection periods. The faster collection periods see days decrease from approximately 62 days to low 40s during subsequent quarters, signaling enhanced receivables efficiency.
- Overall Insights
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The observed cyclical behavior suggests that the company likely encounters seasonality in sales or billing, impacting the timing of receivables turnover and collection. The consistent pattern of longer collection periods in the April quarter followed by shorter periods in later quarters might be driven by client payment schedules, contract arrangements, or business operational cycles.
Despite recurring seasonal variations, the gradual improvement in both the turnover ratios and collection periods over the examined years implies progressive optimization in the credit and collections processes, potentially contributing to better liquidity management.