Analysis of Short-term (Operating) Activity Ratios
Quarterly Data
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
Cadence Design Systems Inc., short-term (operating) activity ratios (quarterly data)
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 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: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
An analysis of the operating activity ratios reveals a general deterioration in short-term operational efficiency over the analyzed period, characterized by slower inventory movement and lengthened receivable collection times.
- Inventory Management Efficiency
- Inventory turnover exhibits significant volatility, peaking at 3.25 in June 2025 before declining to 1.96 by September 2026. This trend is mirrored in the average inventory processing period, which experienced a sharp spike to 201 days in September 2024 and concluded the period at 187 days. The overall increase in processing days suggests a slowing rate of inventory utilization and a potential increase in holding costs.
- Receivables Collection Performance
- A pronounced downward trend is observed in receivables turnover, which fell from a peak of 10.46 in March 2024 to approximately 5.52 by September 2026. Consequently, the average receivable collection period expanded from 42 days in early 2022 to 66 days by the end of the analyzed period. This extension indicates a decrease in the efficiency of credit collection and a longer duration for converting sales into cash.
- Working Capital and Operating Cycle Dynamics
- Working capital turnover showed extreme fluctuations, dropping from a peak of 10.61 in December 2023 to a low of 1.75 between September 2024 and March 2025, before recovering to 6.91 by September 2026. The overall operating cycle demonstrates a consistent upward trajectory, extending from 167 days in April 2022 to 253 days in September 2026. The expansion of the operating cycle reflects the cumulative impact of slower inventory turnover and delayed receivable collections, resulting in a significantly longer timeframe to complete the cash-to-cash cycle.
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Inventory Turnover
Cadence Design Systems Inc., inventory turnover calculation (quarterly data)
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | 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 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||
| Cost of revenue | 235,620) | 239,318) | 214,547) | 188,754) | 182,195) | 184,167) | 167,133) | 219,991) | 163,044) | 139,270) | 125,197) | 104,130) | 109,581) | 96,858) | 124,472) | 93,515) | 87,600) | 92,665) | 97,843) | ||||||
| Inventories | 448,824) | 390,378) | 317,951) | 303,545) | 286,193) | 226,162) | 225,621) | 257,711) | 293,350) | 171,508) | 185,784) | 181,661) | 163,693) | 139,576) | 127,566) | 128,005) | 114,283) | 106,372) | 110,213) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Inventory turnover1 | 1.96 | 2.11 | 2.42 | 2.38 | 2.63 | 3.25 | 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 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||||||
| International Business Machines Corp. | 15.10 | 16.58 | 19.44 | 23.15 | 19.75 | 21.72 | 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 | ||||||
| Microsoft Corp. | 82.74 | 90.61 | 81.22 | 93.64 | 98.47 | 88.10 | 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 | ||||||
| Synopsys Inc. | 5.43 | 5.21 | 5.06 | 4.45 | 3.52 | 3.17 | 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 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 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: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Inventory turnover
= (Cost of revenueQ3 2026
+ Cost of revenueQ2 2026
+ Cost of revenueQ1 2026
+ Cost of revenueQ4 2025)
÷ Inventories
= (235,620 + 239,318 + 214,547 + 188,754)
÷ 448,824 = 1.96
2 Click competitor name to see calculations.
The analysis of the operating activity ratios indicates a general decline in inventory management efficiency over the observed period from April 2022 to September 2026. While the cost of revenue showed substantial growth, the growth in inventory levels outpaced this increase, leading to an overall downward trend in the inventory turnover ratio.
- Cost of Revenue Trends
- A consistent upward trajectory in the cost of revenue is observed, rising from 97.8 million US dollars in April 2022 to 235.6 million US dollars by September 2026. Significant accelerations occurred between June 2024 and December 2024, where costs rose from 139.3 million to 219.9 million US dollars, indicating a scaling of operations or an increase in direct production expenses.
- Inventory Level Expansion
- Inventory holdings experienced aggressive growth, expanding from 110.2 million US dollars in April 2022 to 448.8 million US dollars in September 2026. The most pronounced increase occurred between March 2024 and June 2024, where inventory levels jumped from 185.8 million to 293.4 million US dollars, and again during the 2026 calendar year, peaking at the end of the period.
- Inventory Turnover Dynamics
- The inventory turnover ratio exhibits a pattern of volatility with a long-term negative slope. The ratio remained relatively stable between 2.90 and 3.17 through early 2023, but began a gradual descent thereafter. A significant low was recorded in June 2024 at 1.81, followed by a temporary recovery that peaked at 3.25 in June 2025. However, the ratio declined steadily thereafter, ending the period at 1.96 in September 2026.
- Operational Efficiency Insights
- The divergence between the growth of the cost of revenue and the growth of inventory suggests a reduction in inventory velocity. The fact that the turnover ratio ended significantly lower than its starting point indicates that a larger amount of capital is being tied up in inventory relative to the rate at which it is being consumed or sold, potentially pointing to overstocking or a shift in the operational cycle.
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Receivables Turnover
Cadence Design Systems Inc., receivables turnover calculation (quarterly data)
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | 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 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||
| Revenue | 1,633,311) | 1,584,451) | 1,474,220) | 1,440,114) | 1,338,838) | 1,275,441) | 1,242,366) | 1,355,981) | 1,215,499) | 1,060,681) | 1,009,103) | 1,068,623) | 1,023,094) | 976,579) | 1,021,690) | 899,877) | 902,554) | 857,521) | 901,766) | ||||||
| Receivables, net | 1,110,591) | 1,065,023) | 1,033,814) | 944,939) | 755,265) | 670,166) | 580,887) | 680,460) | 560,973) | 564,851) | 389,865) | 489,224) | 426,505) | 440,915) | 488,237) | 486,710) | 391,181) | 391,738) | 361,789) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Receivables turnover1 | 5.52 | 5.48 | 5.35 | 5.61 | 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 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||
| Adobe Inc. | 12.48 | 12.64 | 11.69 | 10.14 | 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 | ||||||
| AppLovin Corp. | — | 3.15 | 3.15 | 3.01 | 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 | ||||||
| Datadog Inc. | — | 4.79 | 5.40 | 4.62 | 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. | 12.06 | 11.43 | 10.61 | 8.33 | 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. | 25.09 | 17.12 | 33.56 | 35.53 | 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 | ||||||
| Microsoft Corp. | 5.30 | 5.40 | 5.55 | 4.03 | 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 | ||||||
| Oracle Corp. | 5.98 | 6.46 | 6.67 | 6.71 | 6.93 | 6.72 | 6.71 | 6.73 | 7.20 | 7.59 | 7.82 | 7.22 | 7.72 | 7.43 | 7.44 | 7.13 | 9.12 | 9.28 | 9.11 | ||||||
| Palantir Technologies Inc. | 3.87 | 4.14 | 3.72 | 4.29 | 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. | 3.72 | 4.68 | 7.12 | 3.11 | 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 | ||||||
| Salesforce Inc. | 7.37 | 7.06 | 8.86 | 3.17 | 7.84 | 6.76 | 8.36 | 3.05 | 7.00 | 6.12 | 6.95 | 2.92 | 7.09 | 6.18 | 7.07 | 2.72 | 6.22 | 5.78 | 7.04 | ||||||
| ServiceNow Inc. | 6.94 | 6.69 | 8.15 | 5.05 | 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. | 7.14 | 6.85 | 4.88 | 4.69 | 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 | ||||||
| Workday Inc. | 5.27 | 5.57 | 6.38 | 4.33 | 5.81 | 6.09 | 6.68 | 4.43 | 5.70 | 5.28 | 5.94 | 3.96 | 5.71 | 5.13 | 6.94 | 4.14 | 5.66 | 5.35 | 6.91 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 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: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Receivables turnover
= (RevenueQ3 2026
+ RevenueQ2 2026
+ RevenueQ1 2026
+ RevenueQ4 2025)
÷ Receivables, net
= (1,633,311 + 1,584,451 + 1,474,220 + 1,440,114)
÷ 1,110,591 = 5.52
2 Click competitor name to see calculations.
The financial data reveals a divergent trend between revenue growth and receivables management efficiency over the period from April 2022 to September 2026.
- Revenue Growth Trends
- Revenue exhibited a consistent upward trajectory, increasing from 901.77 million US$ in April 2022 to 1.63 billion US$ by September 2026. Growth became more pronounced starting in late 2024, maintaining a steady climb through the end of the analyzed period.
- Receivables Accumulation
- Net receivables grew substantially from 361.79 million US$ in April 2022 to 1.11 billion US$ in September 2026. A significant acceleration in the growth of receivables is observed starting in late 2024, with the balance increasing rapidly throughout 2025 and 2026.
- Receivables Turnover Dynamics
- The receivables turnover ratio remained relatively stable, oscillating between 7.32 and 9.19 from April 2022 through December 2023. A peak efficiency was reached in March 2024 with a ratio of 10.46. Following this peak, a consistent downward trend emerged, with the ratio falling to 5.52 by September 2026.
- Analysis of Collection Efficiency
- The decline in the turnover ratio indicates a decrease in the efficiency of converting credit sales into cash. Because the growth in net receivables has outpaced the growth in revenue during the latter half of the period, the average collection cycle has lengthened. The transition from a peak of 10.46 to a range between 5.35 and 5.52 in the final quarters suggests a significant shift in credit terms or a slowdown in customer payment velocity.
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Working Capital Turnover
Cadence Design Systems Inc., working capital turnover calculation (quarterly data)
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | 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 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||
| Current assets | 3,353,887) | 3,221,893) | 3,180,400) | 4,669,673) | 4,287,040) | 4,222,543) | 3,998,087) | 4,016,079) | 4,099,923) | 2,196,388) | 1,929,932) | 1,976,217) | 1,824,463) | 1,643,050) | 1,698,544) | 1,706,767) | 1,670,483) | 1,657,620) | 1,734,897) | ||||||
| Less: Current liabilities | 2,466,479) | 1,848,842) | 2,162,508) | 1,635,291) | 1,406,557) | 1,496,565) | 1,300,767) | 1,370,105) | 1,674,994) | 1,533,722) | 1,465,743) | 1,590,867) | 1,264,167) | 1,196,300) | 1,181,381) | 1,347,696) | 1,256,994) | 1,042,491) | 960,826) | ||||||
| Working capital | 887,408) | 1,373,051) | 1,017,892) | 3,034,382) | 2,880,483) | 2,725,978) | 2,697,320) | 2,645,974) | 2,424,929) | 662,666) | 464,189) | 385,350) | 560,296) | 446,750) | 517,163) | 359,071) | 413,489) | 615,129) | 774,071) | ||||||
| Revenue | 1,633,311) | 1,584,451) | 1,474,220) | 1,440,114) | 1,338,838) | 1,275,441) | 1,242,366) | 1,355,981) | 1,215,499) | 1,060,681) | 1,009,103) | 1,068,623) | 1,023,094) | 976,579) | 1,021,690) | 899,877) | 902,554) | 857,521) | 901,766) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Working capital turnover1 | 6.91 | 4.25 | 5.43 | 1.75 | 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 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||
| Accenture PLC | 9.97 | 10.23 | 8.66 | 8.15 | 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 | ||||||
| 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 | ||||||
| AppLovin Corp. | — | 1.65 | 1.84 | 1.77 | 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 | ||||||
| Datadog Inc. | — | 0.96 | 0.93 | 0.90 | 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. | 3.76 | 7.04 | 6.70 | 5.04 | 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 | ||||||
| Microsoft Corp. | 8.23 | 6.09 | 5.43 | 5.64 | 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 | ||||||
| Oracle Corp. | 4.53 | — | — | — | 113.15 | — | — | — | — | — | — | — | — | — | — | 3.50 | 3.86 | 3.39 | 1.70 | ||||||
| Palantir Technologies Inc. | 0.66 | 0.64 | 0.64 | 0.62 | 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. | — | 27.48 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||
| Salesforce Inc. | — | 14.11 | 23.11 | 21.69 | 18.14 | 42.35 | 14.56 | 14.27 | 42.02 | 99.31 | 90.67 | 62.21 | 30.85 | 25.15 | 54.57 | 24.95 | 27.10 | — | 4.36 | ||||||
| ServiceNow Inc. | — | — | — | 474.21 | 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. | 5.62 | 5.27 | 5.60 | 3.08 | 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 | ||||||
| Workday Inc. | 2.22 | 1.64 | 1.69 | 1.69 | 1.75 | 1.68 | 1.70 | 1.49 | 1.54 | 1.60 | 1.69 | 1.79 | 1.83 | 1.93 | 2.03 | 35.15 | 11.69 | 24.99 | — | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 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: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Working capital turnover
= (RevenueQ3 2026
+ RevenueQ2 2026
+ RevenueQ1 2026
+ RevenueQ4 2025)
÷ Working capital
= (1,633,311 + 1,584,451 + 1,474,220 + 1,440,114)
÷ 887,408 = 6.91
2 Click competitor name to see calculations.
The financial data exhibits a distinct period of high working capital efficiency followed by a significant expansion of short-term assets and a subsequent correction. While revenue demonstrates a consistent and steady upward trajectory over the analyzed period, working capital levels experienced extreme volatility, directly impacting the turnover ratio.
- Revenue Growth Trends
- A sustained increase in quarterly revenue is observed, rising from approximately 901 million US dollars in early 2022 to 1.63 billion US dollars by September 2026. This growth reflects a steady expansion of the top line, providing a consistent baseline against which operating activity is measured.
- Working Capital Fluctuations
- Working capital remained relatively stable and lean between April 2022 and June 2024, generally fluctuating between 359 million and 774 million US dollars. However, a sharp increase occurred in the second half of 2024, with working capital surging from 662 million US dollars in June 2024 to over 2.42 billion US dollars by September 2024. This elevated level persisted through 2025, peaking at 3.03 billion US dollars in December 2025, before experiencing a significant contraction to approximately 887 million US dollars by September 2026.
- Working Capital Turnover Analysis
- The turnover ratio shows an inverse correlation with the surges in working capital. From April 2022 through March 2024, the ratio remained high, peaking at 10.61 in December 2023, indicating highly efficient use of short-term assets to generate revenue. This efficiency dropped precipitously starting in September 2024, where the ratio fell to 1.80 and remained suppressed between 1.75 and 1.87 throughout most of 2025. This suggests a period where current assets grew disproportionately to revenue. A recovery in efficiency is evident in 2026, with the ratio returning to 6.91 by September 2026 as working capital levels normalized.
In summary, the period between late 2024 and late 2025 was characterized by a significant accumulation of working capital that temporarily lowered operating efficiency. The return to lower working capital levels in 2026, coupled with continued revenue growth, resulted in a restoration of the working capital turnover ratio toward historical norms.
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Average Inventory Processing Period
Cadence Design Systems Inc., average inventory processing period calculation (quarterly data)
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | 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 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Inventory turnover | 1.96 | 2.11 | 2.42 | 2.38 | 2.63 | 3.25 | 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 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||
| Average inventory processing period1 | 187 | 173 | 151 | 153 | 139 | 112 | 119 | 145 | 201 | 131 | 156 | 152 | 141 | 127 | 117 | 126 | 120 | 115 | 125 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||
| International Business Machines Corp. | 24 | 22 | 19 | 16 | 18 | 17 | 19 | 17 | 18 | 16 | 16 | 15 | 19 | 20 | 21 | 20 | 23 | 22 | 24 | ||||||
| Microsoft Corp. | 4 | 4 | 4 | 4 | 4 | 4 | 8 | 6 | 7 | 9 | 16 | 14 | 16 | 17 | 24 | 22 | 20 | 19 | 23 | ||||||
| Synopsys Inc. | 67 | 70 | 72 | 82 | 104 | 115 | 123 | 106 | 117 | 113 | 115 | 97 | 88 | 82 | 74 | 73 | 79 | 82 | 85 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 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: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 1.96 = 187
2 Click competitor name to see calculations.
An analysis of the operating activity ratios reveals significant volatility in inventory management efficiency from April 2022 through September 2026. The relationship between inventory turnover and the average inventory processing period remains inversely correlated, reflecting fluctuating levels of operational efficiency in converting inventory into sales.
- Inventory Turnover Trends
- Turnover rates experienced considerable variance, oscillating between a peak of 3.25 in June 2025 and a trough of 1.81 in September 2024. A gradual decline in turnover is observable from the start of the period through March 2024, followed by a sharp recovery in mid-2025 and a subsequent downward trajectory toward the end of the analyzed period, finishing at 1.96.
- Average Inventory Processing Period Analysis
- The processing period exhibited three distinct phases. The first phase, spanning April 2022 to March 2023, was characterized by relative stability, with values ranging between 115 and 126 days. The second phase saw a marked increase in the time required to process inventory, culminating in a significant peak of 201 days in September 2024. The third phase involved a rapid contraction to a period low of 112 days by June 2025, followed by a renewed upward trend that reached 187 days by September 2026.
- Operational Efficiency Insights
- The observed patterns indicate a recurring cycle of inventory accumulation and liquidation. The sharp spikes in the processing period during late 2024 and late 2025 to 2026 suggest periodic slowdowns in inventory movement. Conversely, the brief window of high efficiency in mid-2025, where the processing period hit its minimum and turnover hit its maximum, represents the peak of operational throughput within the analyzed timeframe.
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Average Receivable Collection Period
Cadence Design Systems Inc., average receivable collection period calculation (quarterly data)
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | 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 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Receivables turnover | 5.52 | 5.48 | 5.35 | 5.61 | 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 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||
| Average receivable collection period1 | 66 | 67 | 68 | 65 | 53 | 48 | 43 | 54 | 47 | 50 | 35 | 44 | 40 | 42 | 48 | 50 | 42 | 44 | 42 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||
| Adobe Inc. | 29 | 29 | 31 | 36 | 33 | 28 | 33 | 35 | 31 | 29 | 38 | 42 | 36 | 33 | 37 | 43 | 37 | 35 | 38 | ||||||
| AppLovin Corp. | — | 116 | 116 | 121 | 113 | 116 | 120 | 110 | 101 | 99 | 104 | 106 | 102 | 85 | 80 | 91 | 84 | 86 | 89 | ||||||
| Datadog Inc. | — | 76 | 68 | 79 | 62 | 73 | 63 | 81 | 70 | 81 | 73 | 87 | 73 | 64 | 75 | 87 | 83 | 82 | 84 | ||||||
| International Business Machines Corp. | 30 | 32 | 34 | 44 | 31 | 34 | 34 | 40 | 31 | 34 | 36 | 43 | 32 | 34 | 35 | 39 | 33 | 36 | 37 | ||||||
| Intuit Inc. | 15 | 21 | 11 | 10 | 15 | 22 | 9 | 10 | 18 | 22 | 9 | 10 | 19 | 24 | 11 | 13 | 21 | 28 | 15 | ||||||
| Microsoft Corp. | 69 | 68 | 66 | 91 | 70 | 67 | 63 | 85 | 68 | 69 | 62 | 84 | 66 | 64 | 56 | 81 | 62 | 66 | 57 | ||||||
| Oracle Corp. | 61 | 56 | 55 | 54 | 53 | 54 | 54 | 54 | 51 | 48 | 47 | 51 | 47 | 49 | 49 | 51 | 40 | 39 | 40 | ||||||
| Palantir Technologies Inc. | 94 | 88 | 98 | 85 | 94 | 79 | 85 | 73 | 92 | 97 | 76 | 60 | 74 | 67 | 47 | 49 | 68 | 56 | 57 | ||||||
| Palo Alto Networks Inc. | 98 | 78 | 51 | 117 | 80 | 64 | 50 | 119 | 80 | 92 | 72 | 130 | 81 | 76 | 78 | 142 | 88 | 72 | 65 | ||||||
| Salesforce Inc. | 50 | 52 | 41 | 115 | 47 | 54 | 44 | 120 | 52 | 60 | 53 | 125 | 52 | 59 | 52 | 134 | 59 | 63 | 52 | ||||||
| ServiceNow Inc. | 53 | 55 | 45 | 72 | 45 | 51 | 43 | 74 | 46 | 56 | 50 | 83 | 50 | 50 | 53 | 87 | 47 | 47 | 48 | ||||||
| Synopsys Inc. | 51 | 53 | 75 | 78 | 79 | 59 | 54 | 56 | 48 | 50 | 65 | 59 | 44 | 54 | 73 | 57 | 50 | 55 | 84 | ||||||
| Workday Inc. | 69 | 66 | 57 | 84 | 63 | 60 | 55 | 82 | 64 | 69 | 61 | 92 | 64 | 71 | 53 | 88 | 65 | 68 | 53 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 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: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.52 = 66
2 Click competitor name to see calculations.
The analysis of the receivables management efficiency reveals a distinct transition from a period of stability and optimization to a trend of decelerating collections. Over the observed timeframe, the relationship between the receivables turnover ratio and the average receivable collection period demonstrates a consistent inverse correlation, indicating a systemic shift in the timing of cash inflows from credit sales.
- Period of Relative Stability (April 2022 – March 2024)
- During the initial phase, the average receivable collection period remained relatively contained, generally fluctuating between 40 and 50 days. A peak in operational efficiency was reached on March 31, 2024, where the collection period dropped to its lowest point of 35 days, coinciding with the highest receivables turnover ratio of 10.46. This phase suggests a disciplined credit policy and effective collection mechanisms.
- Trend of Increasing Collection Duration (June 2024 – September 2026)
- Beginning in June 2024, a clear upward trend in the collection period is observed. The duration rose from 50 days to a peak of 68 days by March 2026. This extension of the collection cycle is mirrored by a steady decline in the receivables turnover ratio, which dropped from 7.37 in June 2024 to 5.52 by September 2026. The increase suggests a slowing of cash conversion from receivables into liquid assets.
- Late-Stage Stabilization (December 2025 – September 2026)
- The latter part of the analyzed period indicates a plateauing of the collection cycle. After reaching a maximum of 68 days, the average collection period stabilized within a narrow range of 66 to 67 days. This stabilization occurs alongside turnover ratios that remain consistently low, between 5.35 and 5.52, suggesting that the new, slower collection cadence has become the operational norm.
Overall, the data indicates a significant deterioration in the speed of receivable collections over the long term. The average collection period increased by approximately 57% from its lowest point in early 2024 to its stabilized levels in 2026, reflecting a substantial expansion of the working capital cycle related to accounts receivable.
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Operating Cycle
Cadence Design Systems Inc., operating cycle calculation (quarterly data)
No. days
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | 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 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Average inventory processing period | 187 | 173 | 151 | 153 | 139 | 112 | 119 | 145 | 201 | 131 | 156 | 152 | 141 | 127 | 117 | 126 | 120 | 115 | 125 | ||||||
| Average receivable collection period | 66 | 67 | 68 | 65 | 53 | 48 | 43 | 54 | 47 | 50 | 35 | 44 | 40 | 42 | 48 | 50 | 42 | 44 | 42 | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Operating cycle1 | 253 | 240 | 219 | 218 | 192 | 160 | 162 | 199 | 248 | 181 | 191 | 196 | 181 | 169 | 165 | 176 | 162 | 159 | 167 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||||||
| International Business Machines Corp. | 54 | 54 | 53 | 60 | 49 | 51 | 53 | 57 | 49 | 50 | 52 | 58 | 51 | 54 | 56 | 59 | 56 | 58 | 61 | ||||||
| Microsoft Corp. | 73 | 72 | 70 | 95 | 74 | 71 | 71 | 91 | 75 | 78 | 78 | 98 | 82 | 81 | 80 | 103 | 82 | 85 | 80 | ||||||
| Synopsys Inc. | 118 | 123 | 147 | 160 | 183 | 174 | 177 | 162 | 165 | 163 | 180 | 156 | 132 | 136 | 147 | 130 | 129 | 137 | 169 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 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: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 187 + 66 = 253
2 Click competitor name to see calculations.
The operational efficiency of the organization exhibits a general trend of expansion in the operating cycle, indicating a longer duration between the initial outlay for inventory and the final collection of cash from sales. This expansion is characterized by significant volatility in inventory management and a gradual deterioration in the speed of receivable collections over the latter half of the analyzed period.
- Average Inventory Processing Period
- The duration for processing inventory demonstrates considerable fluctuation. After maintaining a range between 115 and 156 days from early 2022 through mid-2024, a significant peak occurred on September 30, 2024, reaching 201 days. Although a correction followed, with a low of 112 days by June 30, 2025, the period trended upward again, ending at 187 days by September 30, 2026. This suggests inconsistencies in inventory turnover or strategic shifts in stock levels.
- Average Receivable Collection Period
- Receivable collection remained relatively stable, fluctuating between 35 and 54 days for the first two years of the analyzed period. However, starting in 2025, a consistent upward trend is observed. The collection period rose from 43 days in March 2025 to a peak of 68 days by March 2026, eventually stabilizing at 66 days. This indicates a slowing in the conversion of accounts receivable into cash during the later stages of the timeframe.
- Operating Cycle
- The total operating cycle has lengthened from 167 days in April 2022 to 253 days by September 30, 2026. While the cycle experienced a notable peak of 248 days in September 2024 due to inventory spikes, the most recent trend shows a sustained increase. In the final year of the analysis, the simultaneous rise in both inventory processing time and the receivable collection period contributed to the cycle reaching its maximum duration at the end of the observed period.
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