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: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
The analysis of the financial ratios and related operating cycle metrics over multiple quarters reveals several notable trends and fluctuations. The inventory turnover ratio shows a generally downward trend from early 2020 to late 2021, declining from 20.69 to 15.08, followed by a recovery phase with some volatility, reaching a peak of 23.74 in the first quarter of 2024 before slightly decreasing again. This indicates varying efficiency in inventory management over the period, with periods of slower inventory movement followed by improved turnover efficiency.
The receivables turnover ratio exhibits moderate fluctuations throughout the observed periods, staying within a range roughly between 8.5 and 11.5. There is no consistent upward or downward trend, implying that the company's effectiveness in collecting receivables has remained relatively stable with occasional variations, possibly due to changing credit policies or market conditions affecting customer payments.
Payables turnover ratio also shows variability, fluctuating generally between 6.5 and 8.5 across the quarters. The data reflects periodic changes in the timing of payments to suppliers, suggesting adjustments in payment practices or negotiation of credit terms, but without a clear long-term directional trend.
Working capital turnover presents an interesting pattern with incomplete data for many quarters, but notably high values appear in recent quarters, for example 31.12, 37.03, 46.83, and a striking peak of 273.18 in the latest quarter available. These spikes may indicate exceptional efficiency in the use of working capital or extraordinary changes in balance sheet components, such as a significant reduction in working capital or a surge in sales, warranting further investigation to understand underlying causes.
Examining the average inventory processing period, there is an observable increase from 18 days in early 2020 to a peak of 24 days around late 2020 and early 2021, followed by a gradual reduction to around 15-16 days by 2024, signaling improvements in inventory handling speed in the recent periods compared to mid-period peaks.
The average receivable collection period presents a gradual increase from mid-2020, peaking at around 43 days, followed by a decline to approximately 31-34 days in later quarters. This trend suggests periods of extended credit collection times with signs of improvement in the company’s receivables management as it reduces days outstanding.
The operating cycle duration follows a similar trend to the receivable and inventory metrics, expanding from around 53 days to peaks above 65 days in 2021, then contracting to closer to 49-50 days in 2024. This reduction implies a shorter overall time to convert inventory and receivables into cash, enhancing operational efficiency.
Average payables payment period fluctuates between mid-40s to mid-50s days without a clear long-term trend, suggesting consistent payment practices with some short-term adjustments in timing, potentially reflecting supplier negotiations or cash flow management considerations.
The cash conversion cycle remains relatively low, generally staying under 10 days and even dropping to as low as 2-3 days in some quarters. This indicates strong liquidity management, minimizing the time cash is tied up in the operating cycle after accounting for payables. The modest variability reflects operational tweaks but overall effective cash flow conversion.
In summary, the data shows several phases of operational efficiency shifts. There were periods of elongation in inventory and receivables processing in 2020-2021, followed by improvements in subsequent years. The marked spikes in working capital turnover in recent periods deserve closer examination to ensure sustainability and accuracy. The company appears to manage payables strategically and maintains a comparatively short cash conversion cycle, supporting liquidity. Overall, operational improvements in inventory and receivables management contribute to a shortened operating cycle, enhancing financial flexibility over time.
- Inventory Turnover
- Declined initially, then recovered with notable improvement by 2024.
- Receivables Turnover
- Stable with fluctuations, no clear long-term trend.
- Payables Turnover
- Fluctuated moderately, reflecting changing payment timing.
- Working Capital Turnover
- Marked recent increases and spikes suggest notable efficiency or balance sheet changes.
- Average Inventory Processing Period
- Increased mid-period, then improved to shorter durations.
- Average Receivable Collection Period
- Increased then decreased, indicating improved credit collection recently.
- Operating Cycle
- Peaked in 2021, shortened thereafter improving operational liquidity.
- Average Payables Payment Period
- Varied without a clear directional trend.
- Cash Conversion Cycle
- Consistently low, indicating strong liquidity management.
Turnover Ratios
Average No. Days
Inventory Turnover
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 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||
Cost | 6,510) | 7,114) | 6,548) | 6,820) | 6,720) | 7,114) | 6,729) | 6,974) | 6,743) | 7,059) | 6,677) | 7,245) | 6,862) | 7,193) | 6,145) | 6,366) | 6,160) | 9,843) | 9,130) | 9,423) | 9,649) | |||||||
Inventory, at lower of average cost or net realizable value | 1,431) | 1,289) | 1,367) | 1,234) | 1,212) | 1,161) | 1,399) | 1,501) | 1,603) | 1,552) | 1,794) | 1,684) | 1,776) | 1,649) | 1,891) | 1,807) | 1,828) | 1,839) | 1,949) | 1,869) | 1,786) | |||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Inventory turnover1 | 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 | 15.68 | 15.08 | 17.43 | 18.90 | 20.69 | — | — | — | |||||||
Benchmarks | ||||||||||||||||||||||||||||
Inventory Turnover, Competitors2 | ||||||||||||||||||||||||||||
Cadence Design Systems Inc. | 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 | 2.65 | 3.06 | 3.50 | 4.11 | 4.02 | — | — | — | |||||||
Microsoft Corp. | 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 | 24.32 | 26.86 | 23.78 | 16.56 | |||||||
Synopsys Inc. | 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 | 4.13 | 4.71 | 4.49 | 5.09 |
Based on: 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Inventory turnover
= (CostQ1 2025
+ CostQ4 2024
+ CostQ3 2024
+ CostQ2 2024)
÷ Inventory, at lower of average cost or net realizable value
= (6,510 + 7,114 + 6,548 + 6,820)
÷ 1,431 = 18.86
2 Click competitor name to see calculations.
The data reveals notable fluctuations across key financial metrics over the periods presented.
- Cost (US$ in millions)
- The cost figures exhibit variability but suggest a general pattern of decline followed by recovery and stabilization. Initially, costs were relatively high around the early 2020 quarters, ranging from approximately 9,130 to 9,843 million USD. A significant drop is observed starting in March 2021, with costs declining to around 6,160 million USD, marking a sharp reduction compared to the previous year’s levels. Following this decline, costs moderately recovered and fluctuated between approximately 6,500 and 7,100 million USD in the subsequent quarters, indicating some stabilization but remaining substantially lower than the peak values of early 2020.
- Inventory, at lower of average cost or net realizable value (US$ in millions)
- Inventory levels remained relatively stable with only moderate fluctuations throughout the periods. The values mostly oscillate between 1,400 and 1,900 million USD, with minor downward trends starting in mid-2022 through early 2024. For instance, inventory peaked around 1,949 million USD in late 2020 and generally trended downward towards approximately 1,161 million USD by early 2024 before a slight upward adjustment. This trend may indicate tighter inventory management or reduced stock levels in response to changing operational demands or cost controls.
- Inventory Turnover (ratio)
- Inventory turnover ratio data is only available from late 2020 onwards. It starts at a high level of around 20.69 and shows a downward trend, reaching a low near 14.96 in mid-2022. After this decline, the ratio improves again, increasing steadily to peak at approximately 23.74 by early 2024, before slightly decreasing again towards the end of the dataset to about 18.86. This pattern indicates varying efficiency in inventory management with phases of slower and faster stock turnover, possibly linked to shifts in cost and inventory volumes observed in the other data points.
In summary, the cost structure underwent a significant reduction after early 2021, followed by moderate recovery and stabilization. Inventory levels showed relative stability with slight overall declines during the mid to later periods. Inventory turnover exhibited an initial decline indicating slower movement of inventory, followed by a rebound suggesting improved inventory management efficiency in the most recent periods.
Receivables Turnover
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 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||
Revenue | 14,541) | 17,553) | 14,968) | 15,770) | 14,462) | 17,381) | 14,752) | 15,475) | 14,252) | 16,691) | 14,107) | 15,535) | 14,197) | 16,694) | 13,251) | 14,218) | 13,187) | 20,366) | 17,560) | 18,123) | 17,571) | |||||||
Notes and accounts receivable, trade, net of allowances | 5,857) | 6,804) | 5,390) | 5,769) | 6,041) | 7,214) | 5,330) | 5,673) | 5,757) | 6,541) | 5,526) | 5,867) | 5,963) | 6,754) | 6,609) | 6,827) | 6,458) | 7,132) | 6,099) | 6,543) | 6,927) | |||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Receivables turnover1 | 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 | — | — | — | |||||||
Benchmarks | ||||||||||||||||||||||||||||
Receivables Turnover, Competitors2 | ||||||||||||||||||||||||||||
Adobe Inc. | 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. | 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. | 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 | |||||||
Intuit Inc. | 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. | 5.76 | 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 | 6.73 | 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. | 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 | |||||||
Salesforce Inc. | 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 | — | — | — | |||||||
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. | 6.80 | 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. | 6.68 | 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: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Receivables turnover
= (RevenueQ1 2025
+ RevenueQ4 2024
+ RevenueQ3 2024
+ RevenueQ2 2024)
÷ Notes and accounts receivable, trade, net of allowances
= (14,541 + 17,553 + 14,968 + 15,770)
÷ 5,857 = 10.73
2 Click competitor name to see calculations.
The quarterly financial data reveals several notable trends in revenue, accounts receivable, and receivables turnover over the examined periods.
- Revenue Trends
- Revenue demonstrates a pattern of fluctuation with seasonal and yearly variations. The first observed annual cycle ending December 2020 shows an increasing trend, peaking at 20,366 million US dollars. However, in the following year, revenue dropped significantly during the first three quarters before recovering towards the end of 2021. Subsequent years show a similar pattern of revenue recovery towards the year-end, though the degree of volatility remains present. The overall revenue figures toward the latest periods (2024 and 2025) stabilize around the 14,000 to 17,500 million US dollars range, suggesting a moderate growth trend interspersed with periodic dips.
- Notes and Accounts Receivable, Trade, Net of Allowances
- The accounts receivable figures also reflect variability but generally exhibit a downward trend through most years, with a few rebounds notably at year-ends. Starting from a high base over 6,900 million US dollars in Q1 2020, values tend to decline to around the 5,300 to 6,800 million range in subsequent years. This reduction could indicate improved collections or changes in credit management policies. However, occasional spikes, particularly in the last quarter of multiple years and in mid-2024, suggest temporary increases in outstanding receivables possibly related to higher year-end sales or billing cycles.
- Receivables Turnover Ratio
- The receivables turnover ratio is available starting from late 2020 and generally fluctuates between approximately 8.5 and 11.6. Higher turnover ratios, such as those approaching or exceeding 11, indicate more efficient collection of receivables relative to sales. The data points to several quarters with elevated turnover, especially in late 2021 and 2023, implying periods of more efficient receivables management. Conversely, lower turnover ratios such as around 8.5 to 9.5 in certain quarters suggest less efficient collections or slower cycles during those periods.
- Summary of Patterns and Insights
- The overall data implies a cyclical behavior in revenue, with peaks commonly observed at year-end quarters, consistent with typical fiscal seasonality in many industries. The trends in accounts receivable align with this cyclicality but also suggest a gradual improvement in collections efficiency over time, as reflected by the generally steady or increasing receivables turnover ratios. The fluctuations in both revenue and receivables highlight an ongoing balancing act between sales volume and credit terms, with operational adjustments possibly made in response to market conditions or company policies. While revenue growth appears modest with intermittent volatility, the ability to maintain or improve turnover ratios suggests effective working capital management over the reported periods.
Payables Turnover
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 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||
Cost | 6,510) | 7,114) | 6,548) | 6,820) | 6,720) | 7,114) | 6,729) | 6,974) | 6,743) | 7,059) | 6,677) | 7,245) | 6,862) | 7,193) | 6,145) | 6,366) | 6,160) | 9,843) | 9,130) | 9,423) | 9,649) | |||||||
Accounts payable | 3,585) | 4,032) | 3,274) | 3,631) | 3,588) | 4,132) | 3,342) | 3,732) | 3,728) | 4,051) | 3,806) | 3,707) | 3,453) | 3,955) | 4,248) | 4,214) | 4,140) | 4,908) | 3,985) | 4,719) | 4,172) | |||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Payables turnover1 | 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 | 6.54 | 6.71 | 7.47 | 8.35 | 7.75 | — | — | — | |||||||
Benchmarks | ||||||||||||||||||||||||||||
Payables Turnover, Competitors2 | ||||||||||||||||||||||||||||
Accenture PLC | 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 | 22.48 | 21.75 | 20.11 | 19.17 | |||||||
Adobe Inc. | 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 | 5.63 | 7.62 | 6.00 | 6.52 | |||||||
CrowdStrike Holdings Inc. | 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 | 19.03 | 27.52 | 17.99 | 24.39 | 105.30 | — | — | — | |||||||
Fair Isaac Corp. | 15.18 | 15.49 | 15.18 | 17.26 | 17.11 | 16.36 | 18.51 | 22.82 | 18.38 | 17.49 | 16.79 | 17.57 | 15.28 | 16.02 | 18.01 | 18.22 | 16.55 | 15.68 | 17.94 | 13.99 | 10.83 | |||||||
Intuit Inc. | 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 | 4.52 | 3.48 | 2.78 | 4.45 | |||||||
Microsoft Corp. | 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 | 3.68 | 4.78 | 4.92 | 5.06 | |||||||
Oracle Corp. | 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 | 12.46 | — | — | — | |||||||
Palantir Technologies Inc. | 267.25 | 5,495.05 | 18.51 | 6.85 | 12.34 | 35.56 | 45.04 | 92.45 | 93.11 | 9.12 | 6.58 | 6.53 | 13.10 | 4.53 | — | — | — | — | — | — | — | |||||||
Palo Alto Networks Inc. | 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 | 15.72 | 17.72 | 15.76 | 11.28 | |||||||
ServiceNow Inc. | 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 | 15.20 | 19.64 | 11.82 | 9.75 | 28.83 | — | — | — | |||||||
Workday Inc. | 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 | 15.85 | 21.29 | 19.83 | 31.83 | 18.51 | — | — | — |
Based on: 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Payables turnover
= (CostQ1 2025
+ CostQ4 2024
+ CostQ3 2024
+ CostQ2 2024)
÷ Accounts payable
= (6,510 + 7,114 + 6,548 + 6,820)
÷ 3,585 = 7.53
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals certain trends and fluctuations in key financial metrics over the observed periods.
- Cost (US$ in millions)
- The cost figures show variability without a consistent upward or downward trajectory. Starting at 9,649 million in the first quarter of 2020, costs declined gradually through the first three quarters of that year before rising again at the end of 2020. A notable decrease is observed entering 2021, with costs dropping to the 6,100–7,000 million range for subsequent quarters. Thereafter, quarterly costs remain relatively stable around this lower range, fluctuating between approximately 6,500 and 7,100 million through to the first quarter of 2025. This suggests a reduction in cost levels post-2020 with moderation and fair stability over the longer term.
- Accounts Payable (US$ in millions)
- Accounts payable figures oscillate over time, starting at 4,172 million in the first quarter of 2020 and rising in the next quarter before fluctuating around the 4,000 million mark for most of the period under review. Notably, there are periods of decline to the mid-3,000 million range, particularly in the final quarters of some years. The overall trend appears to be somewhat stable with intermittent decreases and recoveries, possibly reflecting timing differences in payment cycles or operational adjustments.
- Payables Turnover (ratio)
- Payables turnover ratio data is sporadically available beginning mid-2020. The ratio shows moderate fluctuations within a range of approximately 6.5 to 8.35. Peaks are observed in some quarters such as Jun 30, 2021 (8.35) and Sep 30, 2024 (8.31), indicating more frequent payables turnover during these periods. Conversely, troughs near 6.5 suggest slower turnover during other intervals. The ratio does not present a clear trend of improvement or deterioration but indicates variability in how efficiently the company is managing its payables over time.
In summary, cost figures experienced a downward shift after 2020 followed by stable management within a lower range. Accounts payable exhibit fluctuations without a definitive trend, reflecting variations in operational cash management. Payables turnover ratio demonstrates variability with some peaks and troughs but no consistent directional movement, implying changing efficiency in accounts payable management over the reviewed periods.
Working Capital Turnover
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 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||
Current assets | 35,336) | 34,482) | 30,543) | 33,299) | 36,663) | 32,908) | 27,705) | 34,458) | 35,982) | 29,118) | 28,999) | 27,896) | 31,330) | 29,539) | 29,967) | 30,774) | 34,038) | 39,165) | 39,845) | 39,953) | 38,931) | |||||||
Less: Current liabilities | 35,106) | 33,142) | 28,853) | 29,648) | 32,397) | 34,122) | 30,606) | 32,513) | 30,993) | 31,505) | 30,466) | 31,844) | 34,056) | 33,619) | 35,832) | 36,616) | 36,542) | 39,869) | 37,993) | 38,442) | 40,673) | |||||||
Working capital | 230) | 1,340) | 1,690) | 3,651) | 4,266) | (1,214) | (2,901) | 1,945) | 4,989) | (2,387) | (1,467) | (3,948) | (2,726) | (4,080) | (5,865) | (5,842) | (2,504) | (704) | 1,852) | 1,511) | (1,742) | |||||||
Revenue | 14,541) | 17,553) | 14,968) | 15,770) | 14,462) | 17,381) | 14,752) | 15,475) | 14,252) | 16,691) | 14,107) | 15,535) | 14,197) | 16,694) | 13,251) | 14,218) | 13,187) | 20,366) | 17,560) | 18,123) | 17,571) | |||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Working capital turnover1 | 273.18 | 46.83 | 37.03 | 17.08 | 14.55 | — | — | 31.12 | 12.14 | — | — | — | — | — | — | — | — | — | — | — | — | |||||||
Benchmarks | ||||||||||||||||||||||||||||
Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||||||
Accenture PLC | 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. | 1.52 | 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. | 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 | |||||||
Intuit Inc. | 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. | 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. | — | — | — | — | — | — | — | — | — | 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 | |||||||
Salesforce Inc. | 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 | — | — | — | |||||||
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. | 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. | 1.70 | 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: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Working capital turnover
= (RevenueQ1 2025
+ RevenueQ4 2024
+ RevenueQ3 2024
+ RevenueQ2 2024)
÷ Working capital
= (14,541 + 17,553 + 14,968 + 15,770)
÷ 230 = 273.18
2 Click competitor name to see calculations.
- Working Capital
- The working capital exhibited significant volatility over the periods observed. Initially, there was a negative value of -1742 million USD in March 2020, followed by a recovery to positive figures reaching a peak of 1852 million USD in September 2020. However, from the end of 2020 through much of 2022, the working capital frequently remained negative, with pronounced lows such as -5865 million USD in September 2021. Starting in early 2023, the working capital showed marked improvement, turning positive and peaking again at 4989 million USD in March 2023, before experiencing fluctuations but generally maintaining positive values towards the end of the dataset, including 230 million USD in March 2025. This pattern indicates periods of liquidity strain interspersed with phases of better capital availability.
- Revenue
- The revenue pattern over the quarters showed seasonal and cyclical fluctuations with varying degrees of growth and decline. During 2020, revenue fluctuated between approximately 17,000 and 20,000 million USD, with a notable dip in the first quarter of 2021 to about 13,187 million USD. This was followed by a gradual recovery and relatively stable revenue ranging roughly from 14,000 to 17,500 million USD per quarter from mid-2021 through early 2024. The last several quarters showed consistent revenue levels in the 14,000 to 17,500 million USD range, with no sharp upward or downward trends, indicating a stabilized revenue base in the latter periods.
- Working Capital Turnover
- Data for working capital turnover is limited and only available from early 2023 onwards. The turnover ratio exhibited an increasing trend, starting at 12.14 in early 2023 and rising significantly to 31.12 in the following quarter. Subsequent quarters showed some variability but generally maintained elevated levels, reaching a high of 273.18 in March 2025. This substantial increase suggests improving efficiency in the use of working capital relative to revenue. The rising turnover ratios in conjunction with the positive working capital values indicate better management of short-term assets and liabilities in the recent periods.
Average Inventory Processing Period
International Business Machines Corp., average inventory processing period calculation (quarterly data)
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 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | ||||||||||||||||||||||||||||
Inventory turnover | 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 | 15.68 | 15.08 | 17.43 | 18.90 | 20.69 | — | — | — | |||||||
Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||
Average inventory processing period1 | 19 | 17 | 18 | 16 | 16 | 15 | 19 | 20 | 21 | 20 | 23 | 22 | 24 | 23 | 24 | 21 | 19 | 18 | — | — | — | |||||||
Benchmarks (no. days) | ||||||||||||||||||||||||||||
Average Inventory Processing Period, Competitors2 | ||||||||||||||||||||||||||||
Cadence Design Systems Inc. | 119 | 145 | 201 | 131 | 156 | 152 | 141 | 127 | 117 | 126 | 120 | 115 | 125 | 138 | 119 | 104 | 89 | 91 | — | — | — | |||||||
Microsoft Corp. | 8 | 6 | 7 | 9 | 16 | 14 | 16 | 17 | 24 | 22 | 20 | 19 | 23 | 18 | 16 | 14 | 21 | 15 | 14 | 15 | 22 | |||||||
Synopsys Inc. | 123 | 106 | 117 | 113 | 115 | 97 | 88 | 82 | 74 | 73 | 79 | 82 | 85 | 97 | 103 | 100 | 104 | 88 | 77 | 81 | 72 |
Based on: 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 18.86 = 19
2 Click competitor name to see calculations.
- Inventory Turnover
- The inventory turnover ratio exhibits a generally declining trend from 20.69 at the beginning of the observed period, decreasing steadily to a low of 14.96. This decline suggests a slower rate of inventory movement initially. Following this period, there is a recovery phase where the turnover ratio improves, reaching a peak of 23.74. After this peak, the ratio declines again, with some fluctuations, ending at 18.86 in the final period. The pattern indicates variability in inventory efficiency, with periods of both slower and faster inventory turnover over the time span.
- Average Inventory Processing Period
- The average inventory processing period, measured in days, shows an inverse pattern relative to the inventory turnover. It starts at 18 days, increasing gradually and peaking around 24 days, indicating inventory is held longer during this time. After peaking, the period decreases steadily, reaching its shortest interval of 15 days, before gradually increasing again towards the end of the timeline, finishing at 19 days. This trend corresponds logically with the observed fluctuations in inventory turnover, reflecting periods where inventory management cycles were faster or slower.
- Overall Observations
- The data reveals an inverse relationship between inventory turnover and average inventory processing period, consistent with financial principles where higher turnover implies shorter holding periods and vice versa. Initial trends suggest a deterioration in inventory efficiency, followed by recovery and improvement, and then variability in the latter periods. The fluctuations in these metrics could imply operational adjustments, changes in demand, supply chain considerations, or inventory management strategies throughout the periods analyzed.
Average Receivable Collection Period
International Business Machines Corp., average receivable collection period calculation (quarterly data)
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 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | ||||||||||||||||||||||||||||
Receivables turnover | 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 | — | — | — | |||||||
Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||
Average receivable collection period1 | 34 | 40 | 31 | 34 | 36 | 43 | 32 | 34 | 35 | 39 | 33 | 36 | 37 | 43 | 40 | 38 | 34 | 35 | — | — | — | |||||||
Benchmarks (no. days) | ||||||||||||||||||||||||||||
Average Receivable Collection Period, Competitors2 | ||||||||||||||||||||||||||||
Adobe Inc. | 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. | 78 | 102 | 72 | 75 | 69 | 102 | 87 | 83 | 82 | 93 | 80 | 85 | 77 | 100 | 83 | 83 | 93 | 125 | — | — | — | |||||||
Fair Isaac Corp. | 72 | 91 | 97 | 107 | 86 | 94 | 95 | 87 | 80 | 85 | 77 | 74 | 72 | 87 | 76 | 73 | 87 | 94 | 90 | 91 | 86 | |||||||
Intuit Inc. | 9 | 10 | 18 | 22 | 9 | 10 | 19 | 24 | 11 | 13 | 21 | 28 | 15 | 15 | 23 | 22 | 5 | 7 | 12 | 31 | 5 | |||||||
Microsoft Corp. | 63 | 85 | 68 | 69 | 62 | 84 | 66 | 64 | 56 | 81 | 62 | 66 | 57 | 83 | 60 | 65 | 57 | 82 | 60 | 64 | 54 | |||||||
Oracle Corp. | 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. | 50 | 119 | 80 | 92 | 72 | 130 | 81 | 76 | 78 | 142 | 88 | 72 | 65 | 106 | 70 | 65 | 69 | 111 | 75 | 63 | 60 | |||||||
Salesforce Inc. | 44 | 120 | 52 | 60 | 53 | 125 | 52 | 59 | 52 | 134 | 59 | 63 | 52 | 134 | 60 | 65 | 62 | 132 | — | — | — | |||||||
ServiceNow Inc. | 43 | 74 | 46 | 56 | 50 | 83 | 50 | 50 | 53 | 87 | 47 | 47 | 48 | 86 | 51 | 55 | 49 | 82 | — | — | — | |||||||
Synopsys Inc. | 54 | 56 | 48 | 50 | 65 | 59 | 44 | 54 | 73 | 57 | 50 | 55 | 84 | 49 | 52 | 56 | 75 | 77 | 66 | 68 | 86 | |||||||
Workday Inc. | 55 | 82 | 64 | 69 | 61 | 92 | 64 | 71 | 53 | 88 | 65 | 68 | 53 | 87 | 65 | 63 | 56 | 88 | — | — | — |
Based on: 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 10.73 = 34
2 Click competitor name to see calculations.
- Receivables Turnover Ratio
- The receivables turnover ratio exhibits noticeable fluctuations over the reported periods. Starting from a value of 10.32, the ratio improved slightly to 10.72 before experiencing a decline reaching a low of 8.49. Following this decline, the ratio increased again to peak at 11.61. Subsequent quarters show oscillations between approximately 8.57 and 11.61, with the most recent data indicating a value of 10.73. This pattern suggests variability in how efficiently receivables are being collected during the periods, with no consistent upward or downward trend but rather repeated cycles of improvement and decline.
- Average Receivable Collection Period
- The average collection period for receivables also reflects the inverse pattern expected relative to the turnover ratio. Initially around 35 days, this metric improved to 34 days, then extended to a maximum of 43 days, indicating slower collections. Following this maximum, the number of days fluctuated between about 31 and 43 days, with occasional decreases to the low thirties indicating faster collections. The latest periods show a collection period of 34 days, suggesting a return to a moderate pace of receivable collection. The oscillations in days reflect the variability in the efficiency of collecting receivables over the quarters.
- Summary of Trends
- The data reveals cyclical variations in receivables management efficiency, indicated by the alternating rises and falls in the turnover ratio and the inverse movements in the collection period. These variations could be influenced by seasonal factors, changes in credit policies, or fluctuations in customer payment behavior. There is no clear long-term trend of continual improvement or deterioration, but rather a repeated pattern of gains and reversals in both metrics. Maintaining a consistent receivables collection process could be a focus area to reduce volatility and improve predictability in cash flows.
Operating Cycle
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 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | ||||||||||||||||||||||||||||
Average inventory processing period | 19 | 17 | 18 | 16 | 16 | 15 | 19 | 20 | 21 | 20 | 23 | 22 | 24 | 23 | 24 | 21 | 19 | 18 | — | — | — | |||||||
Average receivable collection period | 34 | 40 | 31 | 34 | 36 | 43 | 32 | 34 | 35 | 39 | 33 | 36 | 37 | 43 | 40 | 38 | 34 | 35 | — | — | — | |||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Operating cycle1 | 53 | 57 | 49 | 50 | 52 | 58 | 51 | 54 | 56 | 59 | 56 | 58 | 61 | 66 | 64 | 59 | 53 | 53 | — | — | — | |||||||
Benchmarks | ||||||||||||||||||||||||||||
Operating Cycle, Competitors2 | ||||||||||||||||||||||||||||
Cadence Design Systems Inc. | 162 | 199 | 248 | 181 | 191 | 196 | 181 | 169 | 165 | 176 | 162 | 159 | 167 | 179 | 159 | 153 | 140 | 137 | — | — | — | |||||||
Microsoft Corp. | 71 | 91 | 75 | 78 | 78 | 98 | 82 | 81 | 80 | 103 | 82 | 85 | 80 | 101 | 76 | 79 | 78 | 97 | 74 | 79 | 76 | |||||||
Synopsys Inc. | 177 | 162 | 165 | 163 | 180 | 156 | 132 | 136 | 147 | 130 | 129 | 137 | 169 | 146 | 155 | 156 | 179 | 165 | 143 | 149 | 158 |
Based on: 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 19 + 34 = 53
2 Click competitor name to see calculations.
- Average inventory processing period
- The average inventory processing period demonstrates a general increase from 18 days in March 2021 to a peak of 24 days in December 2021 and June 2022. Subsequently, there is a gradual decline to 19 days by December 2023. Following this, the period further decreases to a low of 15 days by March 2024, indicating improved inventory turnover efficiency. However, toward the end of the observed timeline, the period slightly rises again to 19 days by March 2025. This pattern suggests periods of varying inventory management efficiency, with a notable improvement in early 2024 before a modest reversal.
- Average receivable collection period
- The average receivable collection period fluctuates within a range from 31 to 43 days. Starting at 35 days in March 2021, it peaks at 43 days in December 2021 and March 2024, reflecting slower collections in those quarters. Between these peaks, the collection period generally trends downward, reaching as low as 31 days in December 2024, indicating improved receivables management. However, the notable increases at certain points may signify challenges in credit collections or changes in sales terms.
- Operating cycle
- The operating cycle, which is the sum of the inventory processing and receivable collection periods, shows an increasing trend from 53 days in March 2021 to 66 days in March 2022, indicating a lengthening of the cash conversion period. Afterward, it declines gradually to 49 days in December 2024, suggesting enhanced operational efficiency. Nevertheless, a slight uptick to 57 days in March 2025 indicates some variability toward the end of the period. Overall, the data suggest an initial increase in the time needed to convert resources to cash followed by operational improvements.
Average Payables Payment Period
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 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | ||||||||||||||||||||||||||||
Payables turnover | 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 | 6.54 | 6.71 | 7.47 | 8.35 | 7.75 | — | — | — | |||||||
Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||
Average payables payment period1 | 48 | 54 | 44 | 48 | 48 | 55 | 44 | 50 | 49 | 53 | 50 | 49 | 47 | 56 | 54 | 49 | 44 | 47 | — | — | — | |||||||
Benchmarks (no. days) | ||||||||||||||||||||||||||||
Average Payables Payment Period, Competitors2 | ||||||||||||||||||||||||||||
Accenture PLC | 21 | 23 | 19 | 19 | 22 | 21 | 20 | 21 | 21 | 22 | 22 | 21 | 22 | 24 | 22 | 20 | 18 | 16 | 17 | 18 | 19 | |||||||
Adobe Inc. | 50 | 56 | 49 | 54 | 46 | 49 | 50 | 56 | 51 | 64 | 55 | 66 | 56 | 61 | 68 | 65 | 54 | 65 | 48 | 61 | 56 | |||||||
CrowdStrike Holdings Inc. | 10 | 14 | 29 | 20 | 10 | 28 | 61 | 41 | 9 | 45 | 8 | 24 | 5 | 19 | 13 | 20 | 15 | 3 | — | — | — | |||||||
Fair Isaac Corp. | 24 | 24 | 24 | 21 | 21 | 22 | 20 | 16 | 20 | 21 | 22 | 21 | 24 | 23 | 20 | 20 | 22 | 23 | 20 | 26 | 34 | |||||||
Intuit Inc. | 67 | 76 | 95 | 87 | 71 | 74 | 111 | 103 | 92 | 112 | 145 | 158 | 105 | 135 | 142 | 129 | 70 | 81 | 105 | 131 | 82 | |||||||
Microsoft Corp. | 107 | 108 | 93 | 94 | 106 | 100 | 85 | 86 | 94 | 111 | 98 | 97 | 99 | 106 | 97 | 96 | 98 | 99 | 76 | 74 | 72 | |||||||
Oracle Corp. | 52 | 57 | 40 | 28 | 27 | 32 | 48 | 55 | 54 | 54 | 48 | 45 | 34 | 35 | 38 | 34 | 25 | 29 | — | — | — | |||||||
Palantir Technologies Inc. | 1 | 0 | 20 | 53 | 30 | 10 | 8 | 4 | 4 | 40 | 55 | 56 | 28 | 81 | — | — | — | — | — | — | — | |||||||
Palo Alto Networks Inc. | 36 | 21 | 20 | 33 | 25 | 25 | 18 | 25 | 26 | 27 | 25 | 30 | 25 | 16 | 22 | 14 | 17 | 23 | 21 | 23 | 32 | |||||||
ServiceNow Inc. | 47 | 11 | 28 | 52 | 41 | 24 | 14 | 36 | 51 | 64 | 46 | 65 | 43 | 24 | 19 | 31 | 37 | 13 | — | — | — | |||||||
Workday Inc. | 15 | 16 | 16 | 18 | 24 | 33 | 17 | 14 | 30 | 14 | 13 | 15 | 14 | 23 | 17 | 18 | 11 | 20 | — | — | — |
Based on: 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 7.53 = 48
2 Click competitor name to see calculations.
The analysis of the payables turnover ratio over the observed periods reveals fluctuations within a moderate range. The ratio increased initially from 7.75 to 8.35, indicating a faster rate of payables turnover, suggesting relatively quicker payments to suppliers. However, subsequent periods show a decline to 6.71 and 6.54, implying a slowing turnover rate and potentially longer payment cycles. Thereafter, the ratio exhibits variability between approximately 6.67 and 8.31, without a consistent upward or downward trend, reflecting some inconsistency in the company's payment velocity.
Correspondingly, the average payables payment period, measured in days, shows an inverse relationship with the payables turnover ratio as expected. Initially, the days decreased from 47 to 44, aligning with the higher turnover ratio, indicating quicker settlements. Then, the payment period extended to a peak range around 53-56 days, signifying slower payment patterns during those quarters. Following this, the payment days oscillate between 44 and 55 days, again reflecting variability and absence of a steady trend.
Overall, these patterns suggest that the company's management of payables lacks a stable direction during the analyzed timeframe. Periods of accelerated payments are followed by slower payments, indicating possible fluctuations in cash management strategy, supplier terms, or operational circumstances affecting payment schedules. The lack of a consistent trend highlights an area for potential financial process optimization to ensure more predictable cash outflows and supplier relationships.
- Payables Turnover Ratio
- Initially increased, then declined and fluctuated between ~6.5 and 8.3 times per period.
- Average Payables Payment Period
- Varied inversely, ranging mostly between 44 and 56 days with no clear steady trend.
- Insights
- Payment cycles show inconsistency; management may need to focus on stabilizing payables processing to improve cash flow predictability.
Cash Conversion Cycle
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 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
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Selected Financial Data | ||||||||||||||||||||||||||||
Average inventory processing period | 19 | 17 | 18 | 16 | 16 | 15 | 19 | 20 | 21 | 20 | 23 | 22 | 24 | 23 | 24 | 21 | 19 | 18 | — | — | — | |||||||
Average receivable collection period | 34 | 40 | 31 | 34 | 36 | 43 | 32 | 34 | 35 | 39 | 33 | 36 | 37 | 43 | 40 | 38 | 34 | 35 | — | — | — | |||||||
Average payables payment period | 48 | 54 | 44 | 48 | 48 | 55 | 44 | 50 | 49 | 53 | 50 | 49 | 47 | 56 | 54 | 49 | 44 | 47 | — | — | — | |||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Cash conversion cycle1 | 5 | 3 | 5 | 2 | 4 | 3 | 7 | 4 | 7 | 6 | 6 | 9 | 14 | 10 | 10 | 10 | 9 | 6 | — | — | — | |||||||
Benchmarks | ||||||||||||||||||||||||||||
Cash Conversion Cycle, Competitors2 | ||||||||||||||||||||||||||||
Microsoft Corp. | -36 | -17 | -18 | -16 | -28 | -2 | -3 | -5 | -14 | -8 | -16 | -12 | -19 | -5 | -21 | -17 | -20 | -2 | -2 | 5 | 4 |
Based on: 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 19 + 34 – 48 = 5
2 Click competitor name to see calculations.
The financial data reveals several key trends in the company's working capital management over the observed periods.
- Average Inventory Processing Period
- The inventory processing period shows a gradual increase from 18 days in March 2020 to a peak of 24 days in December 2020 and June 2022, indicating a lengthening of the time inventory remains before being processed. Following this peak, a general decline is observed, reaching as low as 15 days by March 2024, suggesting an improvement in inventory turnover and efficiency. Towards the most recent periods, there is a slight increase again, ending at 19 days in March 2025.
- Average Receivable Collection Period
- The receivable collection period exhibits some volatility. Starting around the mid-30s days range, it rises to 40 days by December 2020, indicating slower collection. This period then fluctuates, with decreases to the low 30s and spikes such as 43 days in March 2024 and 40 days again in March 2025. Generally, the collection period remains in the 30 to 40 days range, reflecting moderate variability in accounts receivable management efficiency.
- Average Payables Payment Period
- The payment period for payables shows variability, increasing from 44 days in June 2020 to a peak of 56 days in March 2021, which suggests the company extended its payment terms or delayed payments during that time. After reaching this peak, the period decreases to as low as 44 days in June 2023 and 44 days again in December 2024, indicating a tendency towards quicker payments. The payment period fluctuates near the mid-40s to mid-50s days mark throughout the periods.
- Cash Conversion Cycle
- The cash conversion cycle, derived from the interplay of inventory, receivables, and payables periods, indicates an overall trend of improvement in liquidity and operational efficiency. Starting from 6 days in March 2020, it increases slightly up to 14 days in June 2022, before steadily declining to a very low 2 days by September 2024. The cycle remains low in subsequent periods, with small fluctuations, ending near 5 days in March 2025. This decreasing trend suggests a more efficient conversion of inventory and receivables into cash while managing payables effectively.
Overall, the data suggests that the company has progressively improved its operational efficiency, particularly evident in the reduced cash conversion cycle in recent years. The reduction in inventory processing time complements this efficiency, while receivables and payables periods show manageable fluctuations without extreme volatility. The effective shortening of the cash conversion cycle may contribute positively to cash flow and financial flexibility.