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: 2026-06-30), 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).
The analyzed operating activity ratios indicate a general decline in short-term operational efficiency over the observed period. There is a clear trend toward a lengthening of the operating cycle, driven by reductions in both inventory and receivables turnover ratios, which suggests a slower cash conversion process.
- Inventory Management Efficiency
- Inventory turnover demonstrates a volatile but generally downward trend, decreasing from 2.91 in April 2022 to 2.11 by June 2026. This decline is reflected in the average inventory processing period, which expanded from 125 days to 173 days. A notable peak in the processing period occurred in September 2024, reaching 201 days, indicating a temporary but significant slowdown in inventory movement.
- Receivables Collection Performance
- Receivables turnover remained relatively stable between 7.32 and 10.46 through March 2024, but entered a consistent decline thereafter, dropping to 5.48 by June 2026. Parallel to this, the average receivable collection period rose from a range of 40–50 days in the early periods to 67–68 days in the final quarters. This shift suggests a deterioration in collection efficiency or a strategic shift toward more lenient credit terms for customers.
- Working Capital Utilization
- Working capital turnover exhibited extreme volatility. After reaching a peak of 10.61 in December 2023, the ratio plummeted to a low of 1.75 by December 2025. This sharp contraction indicates a substantial increase in net working capital relative to revenue generated. While a recovery to 4.25 is observed by June 2026, the ratio remains significantly lower than the levels seen in 2022 and 2023.
- Total Operating Cycle
- The overall operating cycle has lengthened considerably, moving from 167 days in April 2022 to 240 days by June 2026. The combined impact of an increasing inventory processing period and a longer receivables collection period has expanded the timeframe required to convert operational inputs back into cash. The most pronounced expansion was recorded in September 2024, where the cycle reached 248 days.
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Turnover Ratios
Average No. Days
Inventory Turnover
Cadence Design Systems Inc., inventory turnover calculation (quarterly data)
| 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 | 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 | 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 | 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. | 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. | 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. | 5.21 | 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: 2026-06-30), 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 Q2 2026 Calculation
Inventory turnover
= (Cost of revenueQ2 2026
+ Cost of revenueQ1 2026
+ Cost of revenueQ4 2025
+ Cost of revenueQ3 2025)
÷ Inventories
= (239,318 + 214,547 + 188,754 + 182,195)
÷ 390,378 = 2.11
2 Click competitor name to see calculations.
An analysis of the short-term operating activity reveals a period of significant expansion in both the cost of revenue and inventory levels, accompanied by fluctuating inventory turnover efficiency between April 2022 and June 2026.
- Inventory Turnover Trends
- The inventory turnover ratio exhibited relative stability during 2022 and 2023, generally oscillating between 2.39 and 3.17. However, a period of heightened volatility emerged in 2024, where the ratio reached a historical low of 1.81 in September 2024. A subsequent recovery was observed in the first half of 2025, with the ratio peaking at 3.25 in June 2025, before trending downward again to 2.11 by June 2026.
- Correlation Between Inventories and Cost of Revenue
- Cost of revenue demonstrated a consistent long-term upward trajectory, growing from 97,843 thousand US$ in April 2022 to 239,318 thousand US$ by June 2026. Parallel to this, inventory levels rose from 110,213 thousand US$ to 390,378 thousand US$ over the same period. The growth in inventory frequently outpaced the growth in the cost of revenue, leading to the observed compressions in the turnover ratio.
- Significant Operational Shifts
- A notable divergence occurred in September 2024, characterized by a sharp spike in inventories to 293,350 thousand US$, which precipitated the lowest turnover ratio of 1.81. While efficiency improved throughout early 2025 as inventories were managed more tightly relative to costs, a renewed surge in inventory accumulation began in late 2025 and continued through June 2026, resulting in a decline in the turnover ratio to 2.11.
Overall, the data indicates a strategy of expanding inventory holdings that has not always been matched by a proportional increase in the cost of revenue, resulting in cyclical fluctuations in operational efficiency.
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Receivables Turnover
Cadence Design Systems Inc., receivables turnover calculation (quarterly data)
| Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||
| Revenue | 1,584,451) | 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 | 1,065,023) | 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 | 5.48 | 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. | 12.64 | 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. | 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. | 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. | 5.40 | 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. | 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. | 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. | 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. | 7.06 | 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. | 6.69 | 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. | 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. | 5.57 | 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: 2026-06-30), 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 Q2 2026 Calculation
Receivables turnover
= (RevenueQ2 2026
+ RevenueQ1 2026
+ RevenueQ4 2025
+ RevenueQ3 2025)
÷ Receivables, net
= (1,584,451 + 1,474,220 + 1,440,114 + 1,338,838)
÷ 1,065,023 = 5.48
2 Click competitor name to see calculations.
The financial performance exhibits a period of substantial revenue expansion accompanied by a marked increase in net receivables. While top-line growth is consistent throughout the period, the efficiency of receivables collection shows a divergent trend, transitioning from a phase of stability and peak efficiency to a sustained decline in turnover velocity.
- Revenue and Asset Scaling
- Revenue increased from approximately 901.8 million in April 2022 to 1.58 billion by June 2026. Concurrently, net receivables expanded from 361.8 million to 1.06 billion. The growth in receivables significantly outpaced the growth in revenue, particularly in the latter half of the period, suggesting a larger proportion of sales are being conducted on credit or that payment terms have been extended.
- Receivables Turnover Volatility
- Between April 2022 and December 2023, the receivables turnover ratio remained relatively stable, fluctuating between 7.32 and 9.19. A peak in operational efficiency occurred in March 2024, where the ratio reached its highest point of 10.46, indicating the most rapid conversion of receivables into cash during the analyzed timeframe.
- Long-term Efficiency Decline
- Following the peak in early 2024, a consistent downward trajectory is observed. The turnover ratio declined from 10.46 in March 2024 to 5.48 by June 2026. This downward trend indicates a slowing of the collection cycle, as the ratio decreased by approximately 47% from its peak, signaling a potential increase in the average collection period.
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Working Capital Turnover
Cadence Design Systems Inc., working capital turnover calculation (quarterly data)
| 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 | 3,221,893) | 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 | 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 | 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 | 1,584,451) | 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 | 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 | 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. | 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. | 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. | — | — | — | 113.15 | — | — | — | — | — | — | — | — | — | — | 3.50 | 3.86 | 3.39 | 1.70 | ||||||
| Palantir Technologies Inc. | 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. | 5.27 | 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. | 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: 2026-06-30), 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 Q2 2026 Calculation
Working capital turnover
= (RevenueQ2 2026
+ RevenueQ1 2026
+ RevenueQ4 2025
+ RevenueQ3 2025)
÷ Working capital
= (1,584,451 + 1,474,220 + 1,440,114 + 1,338,838)
÷ 1,373,051 = 4.25
2 Click competitor name to see calculations.
The analysis of operating activity reveals a distinct three-phase evolution in working capital management and its efficiency in generating revenue. Initially, the organization operated with a lean working capital structure, leading to high turnover ratios. This was followed by a period of significant capital expansion that suppressed turnover efficiency, and concludes with a sharp contraction of working capital that restored the turnover ratio to higher levels.
- Working Capital Trends
- Working capital remained relatively low and volatile between April 2022 and June 2024, fluctuating between 359 million and 774 million US dollars. A substantial shift occurred in September 2024, where working capital surged to 2.42 billion US dollars, continuing an upward trajectory to peak at 3.03 billion US dollars by December 2025. This period of expansion ended abruptly in March 2026, as working capital dropped sharply to 1.02 billion US dollars, before slightly recovering to 1.37 billion US dollars by June 2026.
- Revenue Trajectory
- Revenue demonstrated a consistent and steady upward trend throughout the entire period. Starting at 901.8 million US dollars in April 2022, revenues grew incrementally, surpassing the 1 billion dollar mark by March 2023 and reaching 1.58 billion US dollars by June 2026. This continuous growth indicates a stable increase in top-line performance regardless of the fluctuations in working capital levels.
- Working Capital Turnover Analysis
- The working capital turnover ratio exhibited an inverse relationship with the volume of working capital. From April 2022 to December 2023, the ratio generally trended upward, peaking at 10.61, which signifies high operational efficiency in utilizing short-term assets and liabilities to drive sales. However, coinciding with the massive increase in working capital in late 2024, the turnover ratio collapsed, plummeting from 6.28 in June 2024 to a low of 1.75 by December 2025. This indicates a period where the growth in working capital far outpaced revenue growth, leading to decreased efficiency. A rapid recovery is observed in early 2026, with the ratio jumping to 5.43 in March 2026 following the reduction in working capital, before settling at 4.25 by June 2026.
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Average Inventory Processing Period
Cadence Design Systems Inc., average inventory processing period calculation (quarterly data)
| 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 | 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 | 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. | 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 | 8 | 6 | 7 | 9 | 16 | 14 | 16 | 17 | 24 | 22 | 20 | 19 | 23 | ||||||
| Synopsys Inc. | 70 | 72 | 82 | 104 | 115 | 123 | 106 | 117 | 113 | 115 | 97 | 88 | 82 | 74 | 73 | 79 | 82 | 85 | ||||||
Based on: 10-Q (reporting date: 2026-06-30), 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 Q2 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.11 = 173
2 Click competitor name to see calculations.
An analysis of the inventory activity ratios reveals a period of increased volatility and inconsistent turnover efficiency between 2022 and 2026. The relationship between turnover speed and the processing duration demonstrates significant fluctuations, indicating periodic shifts in inventory management efficiency.
- Inventory Turnover Trends
- The inventory turnover ratio remained relatively stable throughout 2022, fluctuating within a narrow range between 2.90 and 3.17. A gradual decline began in mid-2023, resulting in a significant contraction that reached a cyclical low of 1.81 by September 30, 2024. While a sharp recovery was observed in the first half of 2025, peaking at 3.25 in June 2025, the ratio entered another downward trajectory thereafter, declining to 2.11 by June 30, 2026.
- Average Inventory Processing Period
- The average inventory processing period exhibits a direct inverse correlation with turnover rates. After maintaining a baseline of 115 to 126 days during 2022, the period expanded considerably, reaching a maximum of 201 days in September 2024. This peak represents the lowest point of operational efficiency in the analyzed period. A subsequent improvement saw the processing period drop to a low of 112 days by June 30, 2025, before trending upward again to reach 173 days by mid-2026.
The observed patterns suggest two distinct phases of slowing inventory throughput. The first phase peaked in late 2024, and a second phase of lengthening processing times is evident in the 2026 data. This volatility indicates that inventory movement has become less predictable over the long term compared to the stability observed in 2022.
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Average Receivable Collection Period
Cadence Design Systems Inc., average receivable collection period calculation (quarterly data)
| 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 | 5.48 | 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 | 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 | 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. | 32 | 34 | 44 | 31 | 34 | 34 | 40 | 31 | 34 | 36 | 43 | 32 | 34 | 35 | 39 | 33 | 36 | 37 | ||||||
| Intuit Inc. | 21 | 11 | 10 | 15 | 22 | 9 | 10 | 18 | 22 | 9 | 10 | 19 | 24 | 11 | 13 | 21 | 28 | 15 | ||||||
| Microsoft Corp. | 68 | 66 | 91 | 70 | 67 | 63 | 85 | 68 | 69 | 62 | 84 | 66 | 64 | 56 | 81 | 62 | 66 | 57 | ||||||
| Oracle Corp. | 56 | 55 | 54 | 53 | 54 | 54 | 54 | 51 | 48 | 47 | 51 | 47 | 49 | 49 | 51 | 40 | 39 | 40 | ||||||
| Palantir Technologies Inc. | 88 | 98 | 85 | 94 | 79 | 85 | 73 | 92 | 97 | 76 | 60 | 74 | 67 | 47 | 49 | 68 | 56 | 57 | ||||||
| Palo Alto Networks Inc. | 78 | 51 | 117 | 80 | 64 | 50 | 119 | 80 | 92 | 72 | 130 | 81 | 76 | 78 | 142 | 88 | 72 | 65 | ||||||
| Salesforce Inc. | 52 | 41 | 115 | 47 | 54 | 44 | 120 | 52 | 60 | 53 | 125 | 52 | 59 | 52 | 134 | 59 | 63 | 52 | ||||||
| ServiceNow Inc. | 55 | 45 | 72 | 45 | 51 | 43 | 74 | 46 | 56 | 50 | 83 | 50 | 50 | 53 | 87 | 47 | 47 | 48 | ||||||
| Synopsys Inc. | 53 | 75 | 78 | 79 | 59 | 54 | 56 | 48 | 50 | 65 | 59 | 44 | 54 | 73 | 57 | 50 | 55 | 84 | ||||||
| Workday Inc. | 66 | 57 | 84 | 63 | 60 | 55 | 82 | 64 | 69 | 61 | 92 | 64 | 71 | 53 | 88 | 65 | 68 | 53 | ||||||
Based on: 10-Q (reporting date: 2026-06-30), 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 Q2 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.48 = 67
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a significant shift in the efficiency of receivable management over the period from April 2022 to June 2026. While the early stages of the period were characterized by relative stability, a distinct trend toward slower collection cycles emerged after the first quarter of 2024.
- Receivables Turnover Trends
- Between April 2022 and December 2023, the receivables turnover ratio remained relatively stable, fluctuating primarily between 7.32 and 9.19. An efficiency peak occurred on March 31, 2024, where the ratio reached 10.46. However, following this peak, a consistent downward trajectory is observed, with the ratio declining to 5.48 by June 30, 2026. This represents a substantial decrease in the frequency with which accounts receivable are converted into cash.
- Average Receivable Collection Period
- The collection period mirrored the turnover trends, maintaining a range of 40 to 50 days during the 2022-2023 window. The shortest collection cycle of 35 days was recorded on March 31, 2024. Subsequently, the collection period began to expand, accelerating significantly in the latter half of 2025 and early 2026. The period peaked at 68 days on March 31, 2026, before settling at 67 days by June 30, 2026.
- Operational Efficiency Insights
- The inverse correlation between the turnover ratio and the collection period highlights a deterioration in short-term liquidity efficiency. The transition from a 35-day collection cycle in early 2024 to a 67-day cycle by mid-2026 indicates a slowing of cash inflows from customers. This progression suggests a potential shift in credit policy or a change in the payment behavior of the customer base, resulting in capital being tied up in receivables for a longer duration.
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Operating Cycle
Cadence Design Systems Inc., operating cycle calculation (quarterly data)
No. days
| 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 | 173 | 151 | 153 | 139 | 112 | 119 | 145 | 201 | 131 | 156 | 152 | 141 | 127 | 117 | 126 | 120 | 115 | 125 | ||||||
| Average receivable collection period | 67 | 68 | 65 | 53 | 48 | 43 | 54 | 47 | 50 | 35 | 44 | 40 | 42 | 48 | 50 | 42 | 44 | 42 | ||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||
| Operating cycle1 | 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 | 53 | 60 | 49 | 51 | 53 | 57 | 49 | 50 | 52 | 58 | 51 | 54 | 56 | 59 | 56 | 58 | 61 | ||||||
| Microsoft Corp. | 72 | 70 | 95 | 74 | 71 | 71 | 91 | 75 | 78 | 78 | 98 | 82 | 81 | 80 | 103 | 82 | 85 | 80 | ||||||
| Synopsys Inc. | 123 | 147 | 160 | 183 | 174 | 177 | 162 | 165 | 163 | 180 | 156 | 132 | 136 | 147 | 130 | 129 | 137 | 169 | ||||||
Based on: 10-Q (reporting date: 2026-06-30), 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 Q2 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 173 + 67 = 240
2 Click competitor name to see calculations.
The operating cycle exhibits a general upward trend over the analyzed period, indicating a lengthening of the time required to convert investment in inventory and receivables into cash. While there is notable volatility in the quarterly figures, the overall progression suggests a decline in the efficiency of short-term asset turnover, moving from an initial 167 days in early 2022 to 240 days by June 2026.
- Average Inventory Processing Period
- This metric displays significant fluctuations with an overall increasing trajectory. Between April 2022 and December 2023, the period generally remained between 115 and 152 days. A substantial peak was observed on September 30, 2024, where the processing period reached 201 days. Following a brief contraction to 112 days by June 2025, the period trended upward again, ending at 173 days in June 2026. This volatility suggests inconsistent inventory turnover or strategic shifts in inventory management.
- Average Receivable Collection Period
- The collection period remained relatively stable in the early stages, fluctuating between 35 and 50 days from April 2022 through June 2024. However, a steady increase is observed starting in September 2024, with the period rising from 47 days to a peak of 68 days by March 2026. This gradual extension of the collection period indicates a slowing rate of cash recovery from customers toward the end of the observed timeframe.
- Overall Operating Cycle Dynamics
- The expansion of the total operating cycle is the combined result of delays in both inventory processing and receivable collections. The cycle experienced a significant spike to 248 days in September 2024, primarily driven by the peak in inventory processing. Although the cycle contracted to 160 days by June 2025, it resumed a sharp increase, reaching 240 days by June 2026. The data reveals that the most recent phases of the cycle are characterized by higher durations than those seen in the 2022-2023 period, reflecting a broader slowing of the operating cash conversion process.
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