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)
Cadence Design Systems Inc., short-term (operating) activity ratios (quarterly data)
Based on: 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).
The analysis of operating activity ratios indicates a general trend of declining efficiency in asset utilization and a lengthening of the operating cycle over the observed period, particularly from late 2023 through early 2026.
- Inventory Management
- Inventory turnover remained relatively stable between 2.39 and 3.25 for much of the period, though a notable decline occurred in September 2024, reaching a low of 1.81. This corresponds with a peak in the average inventory processing period, which extended to 201 days in September 2024. While the processing period recovered to 112 days by June 2025, it trended upward again toward 151 days by March 2026, suggesting fluctuations in inventory movement and management efficiency.
- Receivables Management
- A consistent deterioration in receivables turnover is observable in the latter half of the data series. After peaking at 10.46 in March 2023, the ratio entered a sustained decline, ending at 5.35 in March 2026. This is mirrored by the average receivable collection period, which increased from a minimum of 35 days in March 2023 to a maximum of 68 days by March 2026, indicating a slower conversion of credit sales into cash.
- Working Capital Efficiency
- Working capital turnover exhibited significant volatility. A period of high efficiency peaked in December 2023 at 10.61, followed by a sharp contraction starting in June 2024. Between June 2024 and December 2025, the ratio remained depressed, fluctuating between 1.75 and 1.87. A recovery was observed in March 2026, where the ratio rose to 5.43, though it remained well below the levels seen in 2022 and 2023.
- Operating Cycle Trends
- The operating cycle, reflecting the combined duration of inventory processing and receivable collection, shows an overall upward trajectory. Starting at 167 days in April 2022, the cycle reached a peak of 248 days in September 2024. Despite some mid-2025 moderation, the cycle concluded at 219 days in March 2026, representing a substantial increase in the time required to convert current assets into cash.
AI Ask an analyst for more
Turnover Ratios
Average No. Days
Inventory Turnover
Cadence Design Systems Inc., inventory turnover calculation (quarterly data)
| 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 | 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 | 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 | 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. | 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. | 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. | 5.06 | 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: 2026-03-31), 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 Q1 2026 Calculation
Inventory turnover
= (Cost of revenueQ1 2026
+ Cost of revenueQ4 2025
+ Cost of revenueQ3 2025
+ Cost of revenueQ2 2025)
÷ Inventories
= (214,547 + 188,754 + 182,195 + 184,167)
÷ 317,951 = 2.42
2 Click competitor name to see calculations.
An analysis of the operating activity indicates a period of expansion in both cost of revenue and inventory holdings, resulting in a volatile inventory turnover ratio. A general upward trajectory in costs is observed, though inventory accumulation has frequently outpaced the growth in cost of revenue, impacting short-term operational efficiency.
- Cost of Revenue Trends
- The cost of revenue exhibited a steady increase from US$ 97.8 million in April 2022 to US$ 214.5 million by March 2026. A notable acceleration occurred between June 2024 and December 2024, where costs rose from US$ 139.3 million to a peak of US$ 219.9 million, reflecting a significant expansion in the scale of operations.
- Inventory Level Fluctuations
- Inventories grew substantially over the analyzed period, starting at US$ 110.2 million and ending at US$ 317.9 million. A sharp increase was recorded in September 2024, with inventory reaching US$ 293.3 million. While a temporary reduction was observed in early 2025, the trend resumed an upward trajectory, suggesting an increase in stock accumulation toward the end of the period.
- Inventory Turnover Performance
- The inventory turnover ratio remained relatively stable between 2.88 and 3.17 during 2022 and the first half of 2023. A downward trend emerged in late 2023, culminating in a period low of 1.81 in September 2024, which coincided with the peak in inventory levels. Although the ratio recovered to a peak of 3.25 by June 2025, it subsequently declined, closing the period at 2.42 in March 2026, indicating a reduction in the velocity of inventory movement.
AI Ask an analyst for more
Receivables Turnover
Cadence Design Systems Inc., receivables turnover calculation (quarterly data)
| 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 | 1,474,220) | 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 | 1,033,814) | 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 | 5.35 | 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. | 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 | 3.01 | 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 | ||||||
| CrowdStrike Holdings Inc. | 5.11 | 3.50 | 4.60 | 5.32 | 4.67 | 3.58 | 5.07 | 4.90 | 5.30 | 3.58 | 4.19 | 4.38 | 4.43 | 3.94 | 4.54 | 4.27 | 4.73 | ||||||
| Datadog Inc. | 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. | 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. | 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. | 5.55 | 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. | 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. | 3.72 | 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. | 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. | 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. | 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. | 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. | 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: 2026-03-31), 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 Q1 2026 Calculation
Receivables turnover
= (RevenueQ1 2026
+ RevenueQ4 2025
+ RevenueQ3 2025
+ RevenueQ2 2025)
÷ Receivables, net
= (1,474,220 + 1,440,114 + 1,338,838 + 1,275,441)
÷ 1,033,814 = 5.35
2 Click competitor name to see calculations.
Revenue demonstrates a consistent upward trajectory, increasing from $901.77 million in early 2022 to $1.47 billion by March 2026. During the same period, net receivables grew from $361.79 million to $1.03 billion. Although both metrics trended upward, the growth in receivables accelerated more rapidly than revenue growth in the later stages of the analyzed period, leading to a significant reduction in the receivables turnover ratio.
- Period of Relative Stability (2022 – 2023)
- From April 2022 through December 2023, the receivables turnover ratio fluctuated within a range of 7.32 to 9.19. This indicates a period of consistent operational efficiency in converting accounts receivable into cash, with turnover levels remaining relatively steady despite moderate revenue growth.
- Peak Collection Efficiency (First Quarter 2024)
- A peak in collection efficiency was recorded on March 31, 2024, with the turnover ratio reaching 10.46. This peak was driven by a notable decrease in net receivables to $389.87 million, representing the lowest receivable balance since the beginning of the data series, occurring simultaneously with revenue exceeding $1 billion.
- Downward Trend in Turnover Velocity (2024 – 2026)
- Following the peak in early 2024, a sustained decline in the receivables turnover ratio is observed, falling to 5.35 by March 2026. This deterioration is primarily attributable to the sharp increase in net receivables, which rose from $389.87 million in March 2024 to over $1 billion by March 2026. The divergence between the growth rate of receivables and the growth rate of revenue suggests a slowdown in the collection cycle or a strategic extension of credit terms to support increasing sales volumes.
AI Ask an analyst for more
Working Capital Turnover
Cadence Design Systems Inc., working capital turnover calculation (quarterly data)
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||
| Current assets | 3,180,400) | 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 | 2,162,508) | 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 | 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 | 1,474,220) | 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 | 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 | 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. | 1.84 | 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 | ||||||
| CrowdStrike Holdings Inc. | 1.48 | 1.49 | 1.45 | 1.43 | 1.52 | 1.48 | 1.65 | 1.45 | 1.50 | 1.46 | 1.47 | 1.38 | 1.32 | 1.25 | 1.15 | 1.02 | 0.95 | ||||||
| Datadog Inc. | 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. | 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. | 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. | — | — | 113.15 | — | — | — | — | — | — | — | — | — | — | 3.50 | 3.86 | 3.39 | 1.70 | ||||||
| Palantir Technologies Inc. | 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. | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||||||
| Salesforce Inc. | 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. | 5.60 | 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. | 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: 2026-03-31), 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 Q1 2026 Calculation
Working capital turnover
= (RevenueQ1 2026
+ RevenueQ4 2025
+ RevenueQ3 2025
+ RevenueQ2 2025)
÷ Working capital
= (1,474,220 + 1,440,114 + 1,338,838 + 1,275,441)
÷ 1,017,892 = 5.43
2 Click competitor name to see calculations.
The financial data reveals a period of steady revenue growth contrasted by significant volatility in working capital levels, which fundamentally altered the efficiency of capital utilization between 2022 and 2026.
- Revenue Trajectory
- Revenue demonstrates a consistent upward trend, rising from 901.77 million US dollars in April 2022 to 1.47 billion US dollars by March 2026. This growth indicates a steady expansion in the company's top-line performance over the analyzed period.
- Working Capital Dynamics
- Working capital remained relatively stable and lean between April 2022 and June 2024, fluctuating between 359.07 million and 774.07 million US dollars. However, a substantial increase is observed starting in September 2024, where working capital surged to 2.42 billion US dollars and continued to climb, peaking at 3.03 billion US dollars in December 2025. A sharp contraction occurred in the final quarter, with working capital falling to 1.02 billion US dollars by March 2026.
- Working Capital Turnover Analysis
- The turnover ratio exhibited three distinct phases. From April 2022 to March 2024, the ratio was high and volatile, peaking at 10.61 in December 2023, suggesting a highly efficient conversion of working capital into revenue. From June 2024 through December 2025, the ratio collapsed to a range between 1.75 and 1.87, directly correlating with the massive spike in working capital. This indicates a period of decreased operational efficiency or a strategic accumulation of current assets. The final observation in March 2026 shows a recovery of the ratio to 5.43, following the significant reduction in working capital.
Overall, while the company successfully grew its revenue, the dramatic expansion of working capital in late 2024 severely muted the working capital turnover ratio for nearly eighteen months. The subsequent correction in early 2026 suggests a return to a more lean operational structure.
AI Ask an analyst for more
Average Inventory Processing Period
Cadence Design Systems Inc., average inventory processing period calculation (quarterly data)
| 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 | 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 | 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. | 19 | 16 | 18 | 17 | 19 | 17 | 18 | 16 | 16 | 15 | 19 | 20 | 21 | 20 | 23 | 22 | 24 | ||||||
| Microsoft Corp. | 4 | 4 | 4 | 4 | 8 | 6 | 7 | 9 | 16 | 14 | 16 | 17 | 24 | 22 | 20 | 19 | 23 | ||||||
| Synopsys Inc. | 72 | 82 | 104 | 115 | 123 | 106 | 117 | 113 | 115 | 97 | 88 | 82 | 74 | 73 | 79 | 82 | 85 | ||||||
Based on: 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 Q1 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.42 = 151
2 Click competitor name to see calculations.
Analysis of the operational efficiency reveals significant volatility in inventory management from early 2022 through early 2026. The relationship between inventory turnover and the average inventory processing period demonstrates a consistent inverse correlation, with periodic disruptions in processing speed and throughput.
- Inventory Turnover Trends
- The turnover ratio remained relatively stable between 2.88 and 3.17 throughout most of 2022. A gradual downward trend was observed during 2023, with the ratio declining to 2.39 by year-end. A critical trough occurred on September 30, 2024, when the ratio fell to 1.81, marking the lowest point of inventory efficiency in the analyzed period. A subsequent recovery led to a peak of 3.25 in June 2025, before the ratio transitioned back toward a range of 2.38 to 2.42 by March 2026.
- Average Inventory Processing Period Analysis
- The processing period fluctuated within a baseline range of 115 to 127 days during 2022. An upward trend began in mid-2023, with the period extending to 152 days by December 31, 2023. The most significant operational anomaly is observed on September 30, 2024, where the processing period spiked to 201 days. This peak represents a substantial slowdown in the movement of inventory. Following this spike, a rapid correction occurred, bringing the period down to a minimum of 112 days by June 30, 2025, before trending upward again to 151 days by March 31, 2026.
- Operational Efficiency Insights
- The data identifies a period of pronounced operational inefficiency in late 2024, characterized by the simultaneous occurrence of the lowest turnover ratio and the longest processing duration. While the entity demonstrated the capacity for rapid inventory acceleration in early 2025, the trend toward the end of the analyzed period suggests a return to a longer processing cycle, aligning with the levels observed in late 2023.
AI Ask an analyst for more
Average Receivable Collection Period
Cadence Design Systems Inc., average receivable collection period calculation (quarterly data)
| 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 | 5.35 | 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 | 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. | 31 | 36 | 33 | 28 | 33 | 35 | 31 | 29 | 38 | 42 | 36 | 33 | 37 | 43 | 37 | 35 | 38 | ||||||
| AppLovin Corp. | 116 | 121 | 113 | 116 | 120 | 110 | 101 | 99 | 104 | 106 | 102 | 85 | 80 | 91 | 84 | 86 | 89 | ||||||
| CrowdStrike Holdings Inc. | 71 | 104 | 79 | 69 | 78 | 102 | 72 | 75 | 69 | 102 | 87 | 83 | 82 | 93 | 80 | 85 | 77 | ||||||
| Datadog Inc. | 68 | 79 | 62 | 73 | 63 | 81 | 70 | 81 | 73 | 87 | 73 | 64 | 75 | 87 | 83 | 82 | 84 | ||||||
| International Business Machines Corp. | 34 | 44 | 31 | 34 | 34 | 40 | 31 | 34 | 36 | 43 | 32 | 34 | 35 | 39 | 33 | 36 | 37 | ||||||
| Intuit Inc. | 11 | 10 | 15 | 22 | 9 | 10 | 18 | 22 | 9 | 10 | 19 | 24 | 11 | 13 | 21 | 28 | 15 | ||||||
| Microsoft Corp. | 66 | 91 | 70 | 67 | 63 | 85 | 68 | 69 | 62 | 84 | 66 | 64 | 56 | 81 | 62 | 66 | 57 | ||||||
| Oracle Corp. | 55 | 54 | 53 | 54 | 54 | 54 | 51 | 48 | 47 | 51 | 47 | 49 | 49 | 51 | 40 | 39 | 40 | ||||||
| Palantir Technologies Inc. | 98 | 85 | 94 | 79 | 85 | 73 | 92 | 97 | 76 | 60 | 74 | 67 | 47 | 49 | 68 | 56 | 57 | ||||||
| Palo Alto Networks Inc. | 51 | 117 | 80 | 64 | 50 | 119 | 80 | 92 | 72 | 130 | 81 | 76 | 78 | 142 | 88 | 72 | 65 | ||||||
| Salesforce Inc. | 41 | 115 | 47 | 54 | 44 | 120 | 52 | 60 | 53 | 125 | 52 | 59 | 52 | 134 | 59 | 63 | 52 | ||||||
| ServiceNow Inc. | 45 | 72 | 45 | 51 | 43 | 74 | 46 | 56 | 50 | 83 | 50 | 50 | 53 | 87 | 47 | 47 | 48 | ||||||
| Synopsys Inc. | 75 | 78 | 79 | 59 | 54 | 56 | 48 | 50 | 65 | 59 | 44 | 54 | 73 | 57 | 50 | 55 | 84 | ||||||
| Workday Inc. | 57 | 84 | 63 | 60 | 55 | 82 | 64 | 69 | 61 | 92 | 64 | 71 | 53 | 88 | 65 | 68 | 53 | ||||||
Based on: 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 Q1 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.35 = 68
2 Click competitor name to see calculations.
The analysis of the average receivable collection period indicates a transition from a phase of stability and optimization to a period of declining collection efficiency. While the company maintained a relatively consistent collection cycle for several quarters, a marked increase in the time required to collect outstanding payments is evident toward the end of the observed period.
- Operational Efficiency Peak
- Maximum efficiency was recorded in March 2024, where the average receivable collection period dropped to its lowest point of 35 days. This coincided with a peak receivables turnover ratio of 10.46, indicating an optimal acceleration of cash inflows from credit sales.
- Historical Stability and Variance
- Between April 2022 and December 2023, the collection period generally fluctuated between 40 and 50 days. This period was characterized by moderate volatility, with a notable dip to 40 days in September 2023 prior to the subsequent peak in efficiency.
- Long-term Upward Trend
- Following the March 2024 low, a progressive increase in the collection period is observed. The duration rose from 35 days to 54 days by December 2024 and continued to climb through 2025, reaching 65 days by December 2025.
- Terminal Period Deterioration
- The most significant degradation in collection speed occurred in the final quarters. By March 2026, the average collection period reached its maximum of 68 days, while the receivables turnover ratio fell to its lowest point of 5.35. This indicates a substantial slowing of the cash conversion cycle and a potential increase in credit risk or a shift in customer payment behavior.
AI Ask an analyst for more
Operating Cycle
Cadence Design Systems Inc., operating cycle calculation (quarterly data)
No. days
| 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 | 151 | 153 | 139 | 112 | 119 | 145 | 201 | 131 | 156 | 152 | 141 | 127 | 117 | 126 | 120 | 115 | 125 | ||||||
| Average receivable collection period | 68 | 65 | 53 | 48 | 43 | 54 | 47 | 50 | 35 | 44 | 40 | 42 | 48 | 50 | 42 | 44 | 42 | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||
| Operating cycle1 | 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. | 53 | 60 | 49 | 51 | 53 | 57 | 49 | 50 | 52 | 58 | 51 | 54 | 56 | 59 | 56 | 58 | 61 | ||||||
| Microsoft Corp. | 70 | 95 | 74 | 71 | 71 | 91 | 75 | 78 | 78 | 98 | 82 | 81 | 80 | 103 | 82 | 85 | 80 | ||||||
| Synopsys Inc. | 147 | 160 | 183 | 174 | 177 | 162 | 165 | 163 | 180 | 156 | 132 | 136 | 147 | 130 | 129 | 137 | 169 | ||||||
Based on: 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 Q1 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 151 + 68 = 219
2 Click competitor name to see calculations.
The operating cycle demonstrates a general expansion over the analyzed period, increasing from 167 days in April 2022 to 219 days by March 2026. This overall upward trend indicates a lengthening of the time required to convert resource inputs into cash flows from sales.
- Average Inventory Processing Period
- This metric exhibits significant volatility, fluctuating between a minimum of 112 days in June 2025 and a peak of 201 days in September 2024. The sharp spike observed in the latter half of 2024 indicates a substantial temporary increase in the time required to process inventory. While a correction occurred in early 2025, the period ended at 151 days, remaining higher than the initial 2022 levels.
- Average Receivable Collection Period
- The collection period remained relatively stable, oscillating between 35 and 54 days for the majority of the observed timeframe. However, a consistent upward trend emerged starting in early 2025, with the collection period extending to 68 days by March 2026. This progression suggests a gradual decline in the efficiency of credit recovery or a strategic shift in customer payment terms.
- Operating Cycle Dynamics
- The total operating cycle reached its maximum duration of 248 days in September 2024, which was primarily driven by the peak in inventory processing time. Although the cycle compressed to a low of 160 days in June 2025, it has since trended upward. The final quarters of the analyzed period show that the expansion of the operating cycle is increasingly influenced by the rising receivable collection period, indicating that working capital is remaining tied up in unpaid invoices for longer durations.
AI Ask an analyst for more