Stock Analysis on Net

Autodesk Inc. (NASDAQ:ADSK)

This company has been moved to the archive! The financial data has not been updated since December 3, 2024.

Analysis of Short-term (Operating) Activity Ratios
Quarterly Data

Microsoft Excel

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)

Autodesk Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
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
Turnover Ratios
Receivables turnover 8.49 14.44 15.99 6.28 9.23 12.97 15.42 5.21 7.63 10.93 11.89 6.13 7.26 11.29 11.94 5.89 6.76 7.22 9.61 5.02 5.98 8.44 10.24
Payables turnover 2.55 3.07 3.20 5.11 3.98 4.02 3.86 4.71 3.50 4.19 3.28 3.46 2.96 3.44 2.81 2.75 2.72 3.28 3.80 3.88 3.00 3.35 3.08
Working capital turnover
Average No. Days
Average receivable collection period 43 25 23 58 40 28 24 70 48 33 31 60 50 32 31 62 54 51 38 73 61 43 36
Average payables payment period 143 119 114 71 92 91 95 78 104 87 111 105 123 106 130 133 134 111 96 94 122 109 119

Based on: 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).


Receivables Turnover
The receivables turnover ratio exhibits notable fluctuations over the period under review. Initially, it declined from 10.24 to a low of 5.02 between April 2019 and January 2020, followed by a cyclical pattern with peaks reaching as high as 15.99 in April 2024. These oscillations suggest variability in how efficiently the company collects its receivables, with periods of improved collection efficiency interspersed with slower collections.
Payables Turnover
The payables turnover ratio remained relatively more stable than receivables turnover, generally oscillating between 2.5 and 5.1. There is a slight upward trend with some peaks around 4.71 in January 2023 and 5.11 in April 2024, indicating intermittent periods where the company paid its creditors faster. Conversely, troughs near 2.55 in October 2024 imply occasional slower payments to suppliers.
Average Receivable Collection Period
The average receivable collection period inversely mirrors the receivables turnover trend. It increased from 36 days to a peak of 73 days by January 2020, indicating slower collection times during that phase. Following this, there is evident variability, with collection periods dropping to as low as 23 days in April 2024 before rising again to 43 days in October 2024. This variability corroborates the inconsistent collection efficiency reflected in the receivables turnover ratio.
Average Payables Payment Period
The average payables payment period shows considerable variation, ranging broadly from 71 to 143 days. It started at a high level around 119 days in April 2019, decreased to roughly 78 days in January 2023, and then increased again, reaching 143 days in October 2024. This trend indicates variability in the company's payment practices, alternating between extended and shorter payment cycles, which may reflect changing liquidity management strategies or negotiation dynamics with suppliers.
General Insights
The financial ratios related to receivables and payables reveal a pattern of cyclical behaviors in the company’s operational cash cycle. Both collection and payment periods oscillate substantially, suggesting fluctuating management of working capital components over the analyzed quarters. The absence of working capital turnover data limits a more integrated assessment of operational efficiency, but the disclosed metrics point to periods of both tightening and loosening liquidity management efforts. Increased receivables turnover and reduced collection periods typically denote improved collection effectiveness, while variability in payables turnover and payment periods reflects adjustments in supplier payment policies possibly responding to market or internal financial conditions.

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Turnover Ratios


Average No. Days



Receivables Turnover

Autodesk Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
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)
Net revenue 1,570 1,505 1,417 1,469 1,414 1,345 1,269 1,318 1,280 1,237 1,170 1,212 1,126 1,060 989 1,039 952 913 886 899 843 797 736
Accounts receivable, net 702 402 353 876 579 402 331 961 642 434 384 716 580 358 326 643 540 490 357 652 520 347 268
Short-term Activity Ratio
Receivables turnover1 8.49 14.44 15.99 6.28 9.23 12.97 15.42 5.21 7.63 10.93 11.89 6.13 7.26 11.29 11.94 5.89 6.76 7.22 9.61 5.02 5.98 8.44 10.24
Benchmarks
Receivables Turnover, Competitors2
Adobe Inc. 11.08 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
AppLovin Corp. 3.24 3.15 3.05 3.33 3.61 3.68 3.50 3.44 3.57 4.30 4.56 4.01 4.37 4.23 4.11
Cadence Design Systems Inc. 6.90 7.59 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
CrowdStrike Holdings Inc. 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
Datadog Inc. 5.84 4.99 5.78 4.48 5.21 4.49 5.01 4.18 5.01 5.70 4.89 4.19 4.39 4.47 4.33
International Business Machines Corp. 11.82 10.72 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
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
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
Oracle Corp. 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
Palantir Technologies Inc. 3.87 4.60 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
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
Salesforce Inc. 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
ServiceNow Inc. 8.18 7.11 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
Synopsys Inc. 4.62 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
Workday Inc. 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

Based on: 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 Q3 2025 Calculation
Receivables turnover = (Net revenueQ3 2025 + Net revenueQ2 2025 + Net revenueQ1 2025 + Net revenueQ4 2024) ÷ Accounts receivable, net
= (1,570 + 1,505 + 1,417 + 1,469) ÷ 702 = 8.49

2 Click competitor name to see calculations.


The financial data reveals notable fluctuations in revenue, accounts receivable, and receivables turnover ratios over the observed periods, reflecting dynamic operational and collection efficiency trends.

Net Revenue
Net revenue demonstrates an overall upward trajectory from approximately $736 million in April 2019 to $1,570 million by October 2024. The growth is generally steady with periodic accelerations, particularly from early 2020 onward, suggesting expanding sales or service activity. A few quarters show minor declines or plateaus, but these are temporary and revenue quickly resumes its increase in subsequent periods.
Accounts Receivable, Net
The accounts receivable balance exhibits considerable volatility across the quarters. Early data shows a sharp increase from $268 million in April 2019 to $652 million by January 2020, followed by a notable decrease in the subsequent quarter. This pattern of rising and falling receivables recurs multiple times, with peaks and troughs occurring roughly every few quarters. Noteworthy is a significant peak at $961 million in January 2023, followed by sharp declines, indicating possible changes in credit policy, collection efforts, or timing differences in revenue recognition.
Receivables Turnover Ratio
The receivables turnover ratio inversely reflects changes in accounts receivable and indicates the company's efficiency in collecting its receivables. It varies widely from a low of approximately 5.02 to highs exceeding 15 in some quarters. Lower turnover ratios coincide with higher receivable balances, as seen in early 2020 and early 2023, implying slower collections during these periods. Conversely, higher turnover values correspond to reduced receivables, signaling improved collection efficiency or more stringent credit policies in place. These fluctuations highlight periods of changing liquidity conditions or operational adjustments in credit management.

In summary, while net revenue maintains a consistent growth pattern, accounts receivable and the associated turnover ratio demonstrate cyclical volatility. This suggests that while sales are increasing steadily, the management of receivables and credit collections experiences intervals of varying effectiveness, potentially impacting working capital and cash flow management during those times.

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Payables Turnover

Autodesk Inc., payables turnover calculation (quarterly data)

Microsoft Excel
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)
Cost of revenue 147 140 137 130 127 127 127 124 120 119 117 113 107 105 93 91 84 81 82 83 80 80 83
Accounts payable 217 174 163 100 127 124 127 102 134 109 135 121 134 108 124 123 121 99 85 84 106 93 98
Short-term Activity Ratio
Payables turnover1 2.55 3.07 3.20 5.11 3.98 4.02 3.86 4.71 3.50 4.19 3.28 3.46 2.96 3.44 2.81 2.75 2.72 3.28 3.80 3.88 3.00 3.35 3.08
Benchmarks
Payables Turnover, Competitors2
Accenture PLC 17.37 17.43 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
Adobe Inc. 7.47 6.75 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
AppLovin Corp. 1.55 1.62 1.72 2.07 2.62 2.88 2.80 2.85 4.11 4.57 4.37 4.60 4.40 3.90 2.83
CrowdStrike Holdings Inc. 11.69 41.11 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
Datadog Inc. 4.76 3.05 5.72 4.79 5.18 3.81 6.53 4.67 4.71 8.16 8.95 14.77 11.48 6.02 14.07
International Business Machines Corp. 7.14 6.84 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
Intuit Inc. 3.73 3.48 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
Microsoft Corp. 3.18 3.54 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
Oracle Corp. 6.65 5.89 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
Palo Alto Networks Inc. 9.99 15.01 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
ServiceNow Inc. 19.04 12.27 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
Workday Inc. 26.89 21.90 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

Based on: 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 Q3 2025 Calculation
Payables turnover = (Cost of revenueQ3 2025 + Cost of revenueQ2 2025 + Cost of revenueQ1 2025 + Cost of revenueQ4 2024) ÷ Accounts payable
= (147 + 140 + 137 + 130) ÷ 217 = 2.55

2 Click competitor name to see calculations.


Cost of Revenue
The cost of revenue exhibits a generally increasing trend over the observed periods. Starting at 83 million USD in April 2019, it remains relatively stable through early 2020, fluctuating slightly around 80-84 million USD. From mid-2020 onwards, there is a steady upward trajectory, reaching 147 million USD by October 2024. This increase reflects a consistent rise in expenses directly associated with generating revenue, which may indicate growth in sales volume, increased input costs, or changes in product/service mix.
Accounts Payable
Accounts payable values show considerable volatility across the quarters. The amounts fluctuate between 84 million USD and 174 million USD with several peaks and troughs. Notable peaks occur in October 2020 (121 million USD), April 2022 (135 million USD), July 2024 (174 million USD), and October 2024 (217 million USD). There are also significant dips, such as in January 2020 (84 million USD) and April 2024 (100 million USD). This variability suggests intermittent changes in the timing or scale of payments owed to suppliers, possibly reflecting shifts in procurement cycles, supplier terms, or cash management strategies.
Payables Turnover Ratio
The payables turnover ratio fluctuates notably, ranging from a low of 2.55 to a high of 5.11 during the timeframe. Lower turnover ratios, such as around 2.55 in October 2024, indicate slower payments to suppliers, while higher ratios like 5.11 in January 2024 imply quicker settlement of payables. The ratio does not follow a clear linear trend but instead oscillates, with some quarters showing sharp increases or decreases. These movements may signal changes in payment policies or operational cash flow pressures influencing the company’s ability to manage liabilities efficiently.
Overall Analysis
The data reflects an underlying increase in cost of revenue associated with business expansion or inflationary pressures, accompanied by unstable accounts payable balances and fluctuations in payment velocity as indicated by the payables turnover ratio. The volatility in payables and turnover may be an area for review to ensure consistency in supplier relationship management and working capital optimization. Continuous monitoring is advisable to balance growth costs with effective liability control.

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Working Capital Turnover

Autodesk Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
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 2,899 2,758 2,810 3,579 2,939 2,821 2,833 3,341 2,788 2,329 2,358 2,764 2,655 1,546 1,505 2,699 2,340 2,204 2,024 2,659 1,707 1,516 1,422
Less: Current liabilities 4,468 4,337 4,097 4,351 3,912 3,875 3,926 4,000 3,811 3,642 3,801 4,009 3,282 3,087 3,130 3,255 2,812 2,620 2,578 3,219 2,840 2,707 2,221
Working capital (1,569) (1,579) (1,287) (772) (973) (1,054) (1,093) (659) (1,023) (1,313) (1,443) (1,246) (627) (1,541) (1,625) (556) (472) (416) (554) (560) (1,133) (1,192) (798)
 
Net revenue 1,570 1,505 1,417 1,469 1,414 1,345 1,269 1,318 1,280 1,237 1,170 1,212 1,126 1,060 989 1,039 952 913 886 899 843 797 736
Short-term Activity Ratio
Working capital turnover1
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
Adobe Inc. 133.99 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
AppLovin Corp. 2.15 2.63 5.02 3.75 3.91 4.25 4.29 4.89 6.12 2.61 2.03 2.07 2.27 2.49 1.86
Cadence Design Systems Inc. 1.81 1.87 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
CrowdStrike Holdings Inc. 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
Datadog Inc. 0.91 0.92 0.88 0.88 1.26 1.33 0.96 0.98 1.02 1.03 1.06 1.06 1.02 0.95 0.85
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
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
Oracle Corp. 113.15 3.50 3.86 3.39 1.70 1.29 1.69 1.58 1.26
Palantir Technologies Inc. 0.61 0.59 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
Palo Alto Networks Inc. 3.52 2.15
Salesforce Inc. 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
ServiceNow Inc. 25.49 15.46 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
Synopsys Inc. 2.99 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
Workday Inc. 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

Based on: 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 Q3 2025 Calculation
Working capital turnover = (Net revenueQ3 2025 + Net revenueQ2 2025 + Net revenueQ1 2025 + Net revenueQ4 2024) ÷ Working capital
= (1,570 + 1,505 + 1,417 + 1,469) ÷ -1,569 =

2 Click competitor name to see calculations.


The financial data reveals a series of notable trends in key performance indicators over multiple quarters.

Working Capital
Working capital exhibits significant fluctuations throughout the periods analyzed. Starting with a negative value of -798 million USD in April 2019, it generally trends downward, reaching a low point of -1625 million USD in April 2021. Subsequently, it partially recovers but remains negative, fluctuating between approximately -500 million and -1500 million USD. The persistent negative working capital suggests a consistent pattern of current liabilities exceeding current assets, which could indicate tight short-term liquidity conditions or efficient use of payables.
Net Revenue
Net revenue shows an overall upward trajectory over the examined timeframe. Beginning at 736 million USD in April 2019, revenue steadily increases quarter-over-quarter with occasional minor dips, reaching 1570 million USD by October 2024. This consistent growth in net revenue indicates strong sales performance and expanding business volume.
Working Capital Turnover
Data for working capital turnover is absent, precluding any direct analysis of this efficiency metric. Given the persistent negative working capital, calculation and interpretation of working capital turnover ratios would require adjustments or alternative formulations to meaningfully evaluate asset utilization in relation to sales.

In summary, the company demonstrates robust revenue growth while managing a persistently negative working capital position. The negative working capital could reflect operational practices such as extended supplier payment terms or accelerated receivables collection. The absence of working capital turnover data limits the ability to assess operational efficiency comprehensively; further investigation into cash conversion cycles and liquidity metrics would be beneficial to fully understand the financial dynamics.

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Average Receivable Collection Period

Autodesk Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
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 8.49 14.44 15.99 6.28 9.23 12.97 15.42 5.21 7.63 10.93 11.89 6.13 7.26 11.29 11.94 5.89 6.76 7.22 9.61 5.02 5.98 8.44 10.24
Short-term Activity Ratio (no. days)
Average receivable collection period1 43 25 23 58 40 28 24 70 48 33 31 60 50 32 31 62 54 51 38 73 61 43 36
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Adobe Inc. 33 28 33 35 31 29 38 42 36 33 37 43 37 35 38 43 37 37 41
AppLovin Corp. 113 116 120 110 101 99 104 106 102 85 80 91 84 86 89
Cadence Design Systems Inc. 53 48 43 54 47 50 35 44 40 42 48 50 42 44 42
CrowdStrike Holdings Inc. 79 69 78 102 72 75 69 102 87 83 82 93 80 85 77
Datadog Inc. 62 73 63 81 70 81 73 87 73 64 75 87 83 82 84
International Business Machines Corp. 31 34 34 40 31 34 36 43 32 34 35 39 33 36 37
Intuit Inc. 15 22 9 10 18 22 9 10 19 24 11 13 21 28 15 15 23 22 5
Microsoft Corp. 70 67 63 85 68 69 62 84 66 64 56 81 62 66 57 83 60 65 57
Oracle Corp. 53 54 54 54 51 48 47 51 47 49 49 51 40 39 40 49 43 41 43
Palantir Technologies Inc. 94 79 85 73 92 97 76 60 74 67 47 49 68 56 57
Palo Alto Networks Inc. 80 64 50 119 80 92 72 130 81 76 78 142 88 72 65 106 70 65 69
Salesforce Inc. 47 54 44 120 52 60 53 125 52 59 52 134 59 63 52
ServiceNow Inc. 45 51 43 74 46 56 50 83 50 50 53 87 47 47 48
Synopsys Inc. 79 59 54 56 48 50 65 59 44 54 73 57 50 55 84 49 52 56 75
Workday Inc. 63 60 55 82 64 69 61 92 64 71 53 88 65 68 53

Based on: 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 Q3 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 8.49 = 43

2 Click competitor name to see calculations.


The analysis of the receivables turnover ratio and the average receivable collection period over the presented quarters reveals notable fluctuations and a cyclical pattern in the management of accounts receivable.

Receivables Turnover Ratio

The receivables turnover ratio demonstrates significant variability throughout the periods. Initially, the ratio starts high at 10.24 and then decreases gradually over the next few quarters, reaching its lowest points around the January 2020 and January 2021 marks, where values dropped close to 5.02 and 5.89 respectively. Periods of recovery are then evident, with spikes to values exceeding 11.0 in April 2021 and April 2022. The highest observed turnover ratios occur in the more recent quarters (April 2023 and July 2023), peaking around 15.99 and 14.44, indicating a marked improvement in receivables management or collection efficiency during those times. The later quarters depict a drop again toward 8.49 by October 2024, indicating some variability persists.

Average Receivable Collection Period

This metric inversely correlates with the receivables turnover ratio and fluctuates between approximately 23 and 73 days. The collection period extends significantly during quarters with low turnover ratios (notably January 2020 with 73 days and January 2023 with 70 days), revealing longer periods to collect receivables, possibly indicative of slower customer payments or more lenient credit policies. Conversely, shorter collection periods of about 23 to 31 days align with quarters where the turnover ratio peaked, reflecting improved collection efficiency. The data highlights a recurring pattern of increases and decreases over time, consistent with the cyclical trends observed in receivables turnover.

Overall Trends and Insights

The periodic fluctuations in receivables turnover and average collection periods suggest varying effectiveness in credit and collections management. Peaks in turnover and reductions in collection days point to quarters of strong cash flow management, potentially influenced by changes in credit policies, customer payment behavior, or external economic factors. The recurring nature of these cycles may warrant further examination to identify underlying causes and optimize receivables management consistently.

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Average Payables Payment Period

Autodesk Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
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
Payables turnover 2.55 3.07 3.20 5.11 3.98 4.02 3.86 4.71 3.50 4.19 3.28 3.46 2.96 3.44 2.81 2.75 2.72 3.28 3.80 3.88 3.00 3.35 3.08
Short-term Activity Ratio (no. days)
Average payables payment period1 143 119 114 71 92 91 95 78 104 87 111 105 123 106 130 133 134 111 96 94 122 109 119
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Accenture PLC 21 21 21 23 19 19 22 21 20 21 21 22 22 21 22 24 22 20 18
Adobe Inc. 49 54 50 56 49 54 46 49 50 56 51 64 55 66 56 61 68 65 54
AppLovin Corp. 235 225 212 176 139 127 130 128 89 80 84 79 83 94 129
CrowdStrike Holdings Inc. 31 9 10 14 29 20 10 28 61 41 9 45 8 24 5
Datadog Inc. 77 120 64 76 71 96 56 78 78 45 41 25 32 61 26
International Business Machines Corp. 51 53 48 54 44 48 48 55 44 50 49 53 50 49 47
Intuit Inc. 98 105 67 76 95 87 71 74 111 103 92 112 145 158 105 135 142 129 70
Microsoft Corp. 115 103 107 108 93 94 106 100 85 86 94 111 98 97 99 106 97 96 98
Oracle Corp. 55 62 52 57 40 28 27 32 48 55 54 54 48 45 34 35 38 34 25
Palo Alto Networks Inc. 37 24 36 21 20 33 25 25 18 25 26 27 25 30 25 16 22 14 17
ServiceNow Inc. 19 30 47 11 28 52 41 24 14 36 51 64 46 65 43
Workday Inc. 14 17 15 16 16 18 24 33 17 14 30 14 13 15 14

Based on: 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 Q3 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 2.55 = 143

2 Click competitor name to see calculations.


Payables Turnover

The payables turnover ratio shows notable fluctuations over the presented periods, generally ranging between approximately 2.5 and 5.1. A downward trend is observed in some intervals, especially moving from mid-2024 towards late 2024, where it declines from around 3.2 to 2.55. Conversely, peaks occur earlier, most notably around early 2024 with a maximum close to 5.11. Periods of increased turnover, indicative of faster payments to suppliers, alternate with intervals of slower turnover suggesting extension in payment cycles. This volatility suggests oscillations in the company's payment strategies or changes in supplier terms over time.

Average Payables Payment Period

The average payables payment period demonstrates an inverse relationship with the payables turnover, as expected. The number of days payable outstanding varies significantly, ranging roughly from 71 up to 143 days. Early in the data, periods around 119 to 134 days are common, reflecting relatively longer payment cycles. Mid-2022 onwards, the payment period shortens, reaching a low near 71 days in the first half of 2024, suggesting an acceleration in payment timing. However, by late 2024, there is an increase again to approximately 143 days, which indicates a lengthening of the payment cycle. These variations highlight shifts in the company's management of its liabilities, possibly aligned with cash flow considerations or supplier negotiations.

Overall Insights

The inverse relationship between payables turnover and the average payment period is consistent throughout the timeline, reflecting standard accounting norms. The marked variability in both metrics indicates a dynamic approach to payables management, which may respond to internal liquidity management policies or external market factors. The periods of shorter payment cycles may improve supplier relationships but impact cash reserves, whereas longer cycles could aid cash management at the expense of supplier terms. The pronounced fluctuation towards the end of the timeline suggests strategic adjustments or external pressures influencing payment behavior.

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