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)
Turnover Ratios
Average No. Days
Based on: 10-K (reporting date: 2022-09-30), 10-K (reporting date: 2021-09-30), 10-K (reporting date: 2020-09-30), 10-K (reporting date: 2019-09-30), 10-K (reporting date: 2018-09-30), 10-K (reporting date: 2017-09-30).
The operational activity ratios demonstrate a period of relative stability followed by significant volatility between 2019 and 2020, eventually returning to a stabilized trend toward the end of the analyzed period. The overall trajectory suggests a consistent ability to manage the cash conversion cycle, despite temporary fluctuations in liquidity management.
- Receivables Management
- The receivables turnover ratio experienced a notable contraction in 2019, falling to 7.54, which correlated with a peak in the average receivable collection period of 48 days. A sharp recovery occurred in 2020, where the turnover ratio reached a six-year high of 17.28 and the collection period dropped to 21 days. By 2022, the collection period settled at 24 days with a turnover ratio of 15.17, indicating an overall improvement in the efficiency of credit collection compared to the 2017 and 2018 benchmarks.
- Payables Management
- Payables turnover followed a pattern closely mirrored by receivables, with a significant decline to 5.76 in 2019 and a corresponding extension of the average payables payment period to 63 days. A rapid contraction of the payment period to 29 days was observed in 2020. In the subsequent years, the payment period returned to levels consistent with historical norms, concluding at 41 days in 2022, which suggests a normalized strategic approach to managing short-term liabilities.
- Working Capital Efficiency
- Working capital turnover exhibited periodic fluctuations, reaching its highest point of 3.13 in 2022. A significant decline to 1.66 was recorded in 2020, indicating a temporary decrease in the efficiency of utilizing net working capital to generate revenue. The subsequent recovery and growth in this ratio through 2022 suggest an increasing capacity to maximize sales relative to the investment in short-term operating assets.
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Receivables Turnover
| Sep 30, 2022 | Sep 30, 2021 | Sep 30, 2020 | Sep 30, 2019 | Sep 30, 2018 | Sep 30, 2017 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||
| Net revenues | 29,310) | 24,105) | 21,846) | 22,977) | 20,609) | 18,358) | |
| Settlement receivable | 1,932) | 1,758) | 1,264) | 3,048) | 1,582) | 1,422) | |
| Short-term Activity Ratio | |||||||
| Receivables turnover1 | 15.17 | 13.71 | 17.28 | 7.54 | 13.03 | 12.91 | |
| Benchmarks | |||||||
| Receivables Turnover, Competitors2 | |||||||
| Accenture PLC | 5.87 | 5.74 | 6.16 | — | — | — | |
| Adobe Inc. | 8.53 | 8.41 | 9.20 | — | — | — | |
| AppLovin Corp. | 4.01 | 5.43 | — | — | — | — | |
| Cadence Design Systems Inc. | 7.32 | 8.85 | — | — | — | — | |
| Datadog Inc. | 4.19 | 3.83 | — | — | — | — | |
| International Business Machines Corp. | 9.25 | 8.49 | — | — | — | — | |
| Intuit Inc. | 28.53 | 24.64 | — | — | — | — | |
| Microsoft Corp. | 4.48 | 4.42 | — | — | — | — | |
| Oracle Corp. | 7.13 | 7.48 | — | — | — | — | |
| Palantir Technologies Inc. | 7.38 | 8.08 | — | — | — | — | |
| Palo Alto Networks Inc. | 2.57 | 3.43 | — | — | — | — | |
| Salesforce Inc. | 2.72 | 2.73 | — | — | — | — | |
| ServiceNow Inc. | 4.20 | 4.24 | — | — | — | — | |
| Synopsys Inc. | 6.38 | 7.40 | 4.72 | — | — | — | |
| Workday Inc. | 4.14 | 4.18 | — | — | — | — | |
| Receivables Turnover, Sector | |||||||
| Software & Services | 5.19 | 5.23 | — | — | — | — | |
| Receivables Turnover, Industry | |||||||
| Information Technology | 7.39 | 7.51 | — | — | — | — | |
Based on: 10-K (reporting date: 2022-09-30), 10-K (reporting date: 2021-09-30), 10-K (reporting date: 2020-09-30), 10-K (reporting date: 2019-09-30), 10-K (reporting date: 2018-09-30), 10-K (reporting date: 2017-09-30).
1 2022 Calculation
Receivables turnover = Net revenues ÷ Settlement receivable
= 29,310 ÷ 1,932 = 15.17
2 Click competitor name to see calculations.
The analysis of operating activity from 2017 to 2022 indicates a general expansion in net revenues accompanied by significant volatility in settlement receivables, which directly influenced the efficiency of the receivables turnover.
- Revenue Growth Trajectory
- Net revenues exhibited a consistent upward trend for the majority of the period, increasing from US$18,358 million in 2017 to US$29,310 million in 2022. A temporary contraction was observed in 2020, where revenues decreased to US$21,846 million, before rebounding strongly in the subsequent two fiscal years.
- Settlement Receivable Volatility
- Settlement receivables remained relatively stable between 2017 and 2018, followed by a substantial increase to US$3,048 million in 2019. This peak was immediately followed by a sharp decline in 2020 to US$1,264 million, representing the lowest balance in the analyzed six-year period, before gradually rising to US$1,932 million by 2022.
- Receivables Turnover Performance
- The receivables turnover ratio showed significant variance, closely mirroring the fluctuations in the receivables balance. A sharp decline to 7.54 occurred in 2019, indicating a slowdown in the collection cycle or a disproportionate increase in receivables relative to revenue. This was followed by a peak efficiency ratio of 17.28 in 2020, resulting from the significant reduction in settlement receivables. Between 2021 and 2022, the ratio stabilized and improved to 15.17, suggesting a more efficient conversion of receivables into cash than the levels observed in 2017 and 2018.
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Payables Turnover
| Sep 30, 2022 | Sep 30, 2021 | Sep 30, 2020 | Sep 30, 2019 | Sep 30, 2018 | Sep 30, 2017 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||
| Net revenues | 29,310) | 24,105) | 21,846) | 22,977) | 20,609) | 18,358) | |
| Settlement payable | 3,281) | 2,443) | 1,736) | 3,990) | 2,168) | 2,003) | |
| Short-term Activity Ratio | |||||||
| Payables turnover1 | 8.93 | 9.87 | 12.58 | 5.76 | 9.51 | 9.17 | |
| Benchmarks | |||||||
| Payables Turnover, Competitors2 | |||||||
| Accenture PLC | 16.37 | 15.03 | 22.48 | — | — | — | |
| Adobe Inc. | 5.71 | 5.98 | 5.63 | — | — | — | |
| AppLovin Corp. | 4.60 | 3.83 | — | — | — | — | |
| Cadence Design Systems Inc. | 7.89 | — | — | — | — | — | |
| Datadog Inc. | 14.77 | 9.27 | — | — | — | — | |
| International Business Machines Corp. | 6.87 | 6.54 | — | — | — | — | |
| Intuit Inc. | 3.26 | 2.70 | — | — | — | — | |
| Microsoft Corp. | 3.30 | 3.44 | — | — | — | — | |
| Oracle Corp. | 6.74 | 10.54 | — | — | — | — | |
| Palantir Technologies Inc. | 9.12 | 4.53 | — | — | — | — | |
| Palo Alto Networks Inc. | 13.43 | 22.41 | — | — | — | — | |
| Salesforce Inc. | — | — | — | — | — | — | |
| ServiceNow Inc. | 5.74 | 15.20 | — | — | — | — | |
| Synopsys Inc. | 28.30 | 31.44 | 26.49 | — | — | — | |
| Workday Inc. | 25.74 | 15.85 | — | — | — | — | |
| Payables Turnover, Sector | |||||||
| Software & Services | 5.57 | 5.73 | — | — | — | — | |
| Payables Turnover, Industry | |||||||
| Information Technology | 4.24 | 4.63 | — | — | — | — | |
Based on: 10-K (reporting date: 2022-09-30), 10-K (reporting date: 2021-09-30), 10-K (reporting date: 2020-09-30), 10-K (reporting date: 2019-09-30), 10-K (reporting date: 2018-09-30), 10-K (reporting date: 2017-09-30).
1 2022 Calculation
Payables turnover = Net revenues ÷ Settlement payable
= 29,310 ÷ 3,281 = 8.93
2 Click competitor name to see calculations.
The analysis of short-term operating activity from 2017 to 2022 reveals a period of sustained revenue growth accompanied by significant volatility in settlement payable management. While net revenues expanded from $18,358 million to $29,310 million, the payables turnover ratio demonstrated a non-linear trend, indicating variability in the frequency and speed with which settlement obligations were cleared.
- Revenue Growth and Scaling
- Net revenues exhibited a steady upward trajectory for the majority of the period, with a momentary contraction in 2020 where revenues decreased to $21,846 million from $22,977 million in 2019. This was followed by a strong recovery, culminating in a peak of $29,310 million by September 30, 2022.
- Payables Turnover Volatility
- The payables turnover ratio experienced a marked decline in 2019, reaching a period low of 5.76. This decline coincided with a peak in settlement payables of $3,990 million, suggesting a relative increase in outstanding obligations compared to the volume of revenue generated during that fiscal year.
- Operational Shift in 2020
- A sharp reversal in activity occurred in 2020, with the turnover ratio spiking to its highest point of 12.58. This increase was primarily driven by a substantial contraction in settlement payables, which fell to $1,736 million, representing the lowest payable balance in the six-year period analyzed.
- Recent Stabilization Trends
- In the final two years of the period, the payables turnover ratio began to normalize, moving from 9.87 in 2021 to 8.93 in 2022. This trend suggests a return to operational patterns similar to those observed in 2017 and 2018, as settlement payables climbed back to $3,281 million.
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Working Capital Turnover
| Sep 30, 2022 | Sep 30, 2021 | Sep 30, 2020 | Sep 30, 2019 | Sep 30, 2018 | Sep 30, 2017 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||
| Current assets | 30,205) | 27,607) | 27,645) | 20,970) | 18,216) | 19,023) | |
| Less: Current liabilities | 20,853) | 15,739) | 14,510) | 13,415) | 11,305) | 9,994) | |
| Working capital | 9,352) | 11,868) | 13,135) | 7,555) | 6,911) | 9,029) | |
| Net revenues | 29,310) | 24,105) | 21,846) | 22,977) | 20,609) | 18,358) | |
| Short-term Activity Ratio | |||||||
| Working capital turnover1 | 3.13 | 2.03 | 1.66 | 3.04 | 2.98 | 2.03 | |
| Benchmarks | |||||||
| Working Capital Turnover, Competitors2 | |||||||
| Accenture PLC | 15.07 | 12.77 | 8.71 | — | — | — | |
| Adobe Inc. | 20.28 | 9.09 | 4.89 | — | — | — | |
| AppLovin Corp. | 2.07 | 1.08 | — | — | — | — | |
| Cadence Design Systems Inc. | 9.92 | 4.01 | — | — | — | — | |
| Datadog Inc. | 1.06 | 0.77 | — | — | — | — | |
| International Business Machines Corp. | — | — | — | — | — | — | |
| Intuit Inc. | 8.98 | 3.85 | — | — | — | — | |
| Microsoft Corp. | 2.66 | 1.76 | — | — | — | — | |
| Oracle Corp. | 3.50 | 1.29 | — | — | — | — | |
| Palantir Technologies Inc. | 0.78 | 0.70 | — | — | — | — | |
| Palo Alto Networks Inc. | — | — | — | — | — | — | |
| Salesforce Inc. | 24.95 | 5.11 | — | — | — | — | |
| ServiceNow Inc. | 11.16 | 21.76 | — | — | — | — | |
| Synopsys Inc. | 21.34 | 10.65 | 9.00 | — | — | — | |
| Workday Inc. | 35.15 | 8.31 | — | — | — | — | |
| Working Capital Turnover, Sector | |||||||
| Software & Services | 4.68 | 2.73 | — | — | — | — | |
| Working Capital Turnover, Industry | |||||||
| Information Technology | 6.38 | 4.29 | — | — | — | — | |
Based on: 10-K (reporting date: 2022-09-30), 10-K (reporting date: 2021-09-30), 10-K (reporting date: 2020-09-30), 10-K (reporting date: 2019-09-30), 10-K (reporting date: 2018-09-30), 10-K (reporting date: 2017-09-30).
1 2022 Calculation
Working capital turnover = Net revenues ÷ Working capital
= 29,310 ÷ 9,352 = 3.13
2 Click competitor name to see calculations.
The analysis of operating activity reveals a general upward trajectory in net revenues coupled with significant volatility in working capital management between 2017 and 2022. While revenues experienced a brief contraction in 2020, the overall trend reflects strong growth, culminating in a peak of 29,310 million US$ in 2022.
- Net Revenue Trends
- Net revenues grew steadily from 18,358 million US$ in 2017 to 22,977 million US$ in 2019. Following a slight decline to 21,846 million US$ in 2020, a robust recovery was observed, with revenues accelerating to 29,310 million US$ by September 30, 2022.
- Working Capital Volatility
- Working capital exhibited non-linear movement, decreasing from 9,029 million US$ in 2017 to 6,911 million US$ in 2018. A significant spike occurred in 2020, where working capital reached a peak of 13,135 million US$, followed by a consistent downward trend to 9,352 million US$ in 2022.
- Working Capital Turnover Efficiency
- The turnover ratio indicates fluctuating efficiency in the utilization of short-term assets to generate sales. Efficiency improved from 2.03 in 2017 to 3.04 in 2019. A sharp decline to 1.66 was recorded in 2020, resulting from the simultaneous increase in working capital and a contraction in revenues. A strong recovery followed, with the ratio reaching its highest level of 3.13 in 2022, indicating an optimized relationship between operating liquidity and revenue generation.
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Average Receivable Collection Period
| Sep 30, 2022 | Sep 30, 2021 | Sep 30, 2020 | Sep 30, 2019 | Sep 30, 2018 | Sep 30, 2017 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Receivables turnover | 15.17 | 13.71 | 17.28 | 7.54 | 13.03 | 12.91 | |
| Short-term Activity Ratio (no. days) | |||||||
| Average receivable collection period1 | 24 | 27 | 21 | 48 | 28 | 28 | |
| Benchmarks (no. days) | |||||||
| Average Receivable Collection Period, Competitors2 | |||||||
| Accenture PLC | 62 | 64 | 59 | — | — | — | |
| Adobe Inc. | 43 | 43 | 40 | — | — | — | |
| AppLovin Corp. | 91 | 67 | — | — | — | — | |
| Cadence Design Systems Inc. | 50 | 41 | — | — | — | — | |
| Datadog Inc. | 87 | 95 | — | — | — | — | |
| International Business Machines Corp. | 39 | 43 | — | — | — | — | |
| Intuit Inc. | 13 | 15 | — | — | — | — | |
| Microsoft Corp. | 81 | 83 | — | — | — | — | |
| Oracle Corp. | 51 | 49 | — | — | — | — | |
| Palantir Technologies Inc. | 49 | 45 | — | — | — | — | |
| Palo Alto Networks Inc. | 142 | 106 | — | — | — | — | |
| Salesforce Inc. | 134 | 134 | — | — | — | — | |
| ServiceNow Inc. | 87 | 86 | — | — | — | — | |
| Synopsys Inc. | 57 | 49 | 77 | — | — | — | |
| Workday Inc. | 88 | 87 | — | — | — | — | |
| Average Receivable Collection Period, Sector | |||||||
| Software & Services | 70 | 70 | — | — | — | — | |
| Average Receivable Collection Period, Industry | |||||||
| Information Technology | 49 | 49 | — | — | — | — | |
Based on: 10-K (reporting date: 2022-09-30), 10-K (reporting date: 2021-09-30), 10-K (reporting date: 2020-09-30), 10-K (reporting date: 2019-09-30), 10-K (reporting date: 2018-09-30), 10-K (reporting date: 2017-09-30).
1 2022 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 15.17 = 24
2 Click competitor name to see calculations.
Analysis of the short-term operating activity ratios indicates a period of relative stability followed by significant volatility between 2019 and 2020, with a subsequent return to efficient collection cycles.
- Receivables Turnover Trends
- The receivables turnover ratio remained consistent between 2017 and 2018, maintaining a value around 13.0. A marked decline occurred in 2019, where the ratio dropped to 7.54, signaling a decrease in the frequency with which receivables were collected. This was followed by a sharp recovery in 2020, peaking at 17.28, before stabilizing between 13.71 and 15.17 during the 2021 and 2022 periods.
- Average Receivable Collection Period
- The average collection period exhibited an inverse relationship with turnover, remaining steady at 28 days through 2018 before spiking to 48 days in 2019. This increase indicates a temporary slowdown in the conversion of receivables into cash. A significant correction occurred in 2020, reducing the collection period to a minimum of 21 days. The period concluded with a stabilization trend, ending at 24 days in 2022.
- Operational Efficiency Insights
- The data reveals a temporary disruption in credit collection efficiency in 2019, which was rapidly reversed in 2020. The overall trend from 2017 to 2022 suggests an improvement in liquidity management, as the final collection period of 24 days represents a faster recovery of funds compared to the 28-day baseline observed at the start of the period.
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Average Payables Payment Period
| Sep 30, 2022 | Sep 30, 2021 | Sep 30, 2020 | Sep 30, 2019 | Sep 30, 2018 | Sep 30, 2017 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Payables turnover | 8.93 | 9.87 | 12.58 | 5.76 | 9.51 | 9.17 | |
| Short-term Activity Ratio (no. days) | |||||||
| Average payables payment period1 | 41 | 37 | 29 | 63 | 38 | 40 | |
| Benchmarks (no. days) | |||||||
| Average Payables Payment Period, Competitors2 | |||||||
| Accenture PLC | 22 | 24 | 16 | — | — | — | |
| Adobe Inc. | 64 | 61 | 65 | — | — | — | |
| AppLovin Corp. | 79 | 95 | — | — | — | — | |
| Cadence Design Systems Inc. | 46 | — | — | — | — | — | |
| Datadog Inc. | 25 | 39 | — | — | — | — | |
| International Business Machines Corp. | 53 | 56 | — | — | — | — | |
| Intuit Inc. | 112 | 135 | — | — | — | — | |
| Microsoft Corp. | 111 | 106 | — | — | — | — | |
| Oracle Corp. | 54 | 35 | — | — | — | — | |
| Palantir Technologies Inc. | 40 | 81 | — | — | — | — | |
| Palo Alto Networks Inc. | 27 | 16 | — | — | — | — | |
| Salesforce Inc. | — | — | — | — | — | — | |
| ServiceNow Inc. | 64 | 24 | — | — | — | — | |
| Synopsys Inc. | 13 | 12 | 14 | — | — | — | |
| Workday Inc. | 14 | 23 | — | — | — | — | |
| Average Payables Payment Period, Sector | |||||||
| Software & Services | 66 | 64 | — | — | — | — | |
| Average Payables Payment Period, Industry | |||||||
| Information Technology | 86 | 79 | — | — | — | — | |
Based on: 10-K (reporting date: 2022-09-30), 10-K (reporting date: 2021-09-30), 10-K (reporting date: 2020-09-30), 10-K (reporting date: 2019-09-30), 10-K (reporting date: 2018-09-30), 10-K (reporting date: 2017-09-30).
1 2022 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 8.93 = 41
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals significant volatility in the management of accounts payable between 2017 and 2022, characterized by a notable deviation during the 2019-2020 period before returning to baseline levels.
- Payables Turnover
- The turnover ratio exhibited a non-linear trajectory, beginning at 9.17 in 2017 and reaching a peak of 12.58 in 2020. A substantial contraction occurred in 2019, where the ratio fell to 5.76, indicating a slower rate of payable settlement relative to the average balance. Following the 2020 peak, the ratio experienced a gradual decline, settling at 8.93 by September 30, 2022.
- Average Payables Payment Period
- The payment period demonstrates a consistent inverse relationship with the turnover ratio. The duration fluctuated from 40 days in 2017 to a peak of 63 days in 2019, marking a significant extension of the payment cycle. This was followed by a sharp correction in 2020, where the period dropped to a six-year low of 29 days. In the final two years of the period, the payment duration stabilized, increasing to 37 days in 2021 and 41 days in 2022.
The data suggests a temporary disruption in payment patterns during 2019 and 2020. The expansion of the payment period to 63 days in 2019, followed by a rapid acceleration to 29 days in 2020, indicates a shift in working capital management or a one-time operational adjustment. By 2022, the operating cycle for payables had returned to a state of equilibrium similar to the 2017-2018 levels.
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