Stock Analysis on Net

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

Microsoft Excel

Short-term Activity Ratios (Summary)

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

Microsoft Excel
Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021 Jul 31, 2021 Apr 30, 2021 Jan 31, 2021
Turnover Ratios
Inventory turnover 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 3.76 3.53 3.65 3.51
Receivables turnover 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 7.40 7.06 6.51 4.84
Working capital turnover 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 10.65 9.50 9.18 16.88
Average No. Days
Average inventory processing period 70 72 82 104 115 123 106 117 113 115 97 88 82 74 73 79 82 85 97 103 100 104
Add: Average receivable collection period 53 75 78 79 59 54 56 48 50 65 59 44 54 73 57 50 55 84 49 52 56 75
Operating cycle 123 147 160 183 174 177 162 165 163 180 156 132 136 147 130 129 137 169 146 155 156 179

Based on: 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-K (reporting date: 2025-10-31), 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-K (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-K (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-K (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31).


The operating activity ratios exhibit significant volatility over the observed period, characterized by a distinct cycle of efficiency gains followed by a period of deterioration and a subsequent recovery toward the end of the timeframe. The most notable trend is the sharp decline in working capital efficiency starting in late 2023, which coincides with an expansion of the operating cycle.

Inventory Management Efficiency
Inventory turnover demonstrated a positive trend from early 2021, peaking at 5.02 in October 2022. This efficiency gain was reflected in the average inventory processing period, which reached a low of 73 days during the same period. However, a reversal occurred between January 2023 and January 2025, where turnover dropped to a low of 2.98 and the processing period extended to 123 days. A strong recovery is observed in the final quarters, with turnover increasing to 5.21 and the processing period shortening to 70 days by April 2026.
Receivables Collection Performance
Receivables turnover exhibits a fluctuating pattern without a linear trend. Periodic peaks in efficiency, such as the 8.29 ratio in July 2023, were offset by dips, notably in January 2022 (4.34) and July 2025 (4.62). The average receivable collection period generally oscillated between 44 and 84 days. While collection times remained relatively stable for much of the period, a slight degradation in collection efficiency occurred during 2025 before improving to 53 days by April 2026.
Working Capital Utilization
A substantial decline in working capital turnover is evident. After maintaining relatively high levels between 2021 and 2023, the ratio collapsed from 13.12 in July 2023 to a nadir of 0.43 in April 2025. This suggests a significant increase in net working capital relative to sales, indicating either a surge in current assets or a reduction in current liabilities. A recovery phase began in mid-2025, with the ratio climbing back to 5.27 by April 2026.
Operating Cycle Analysis
The operating cycle, as the sum of inventory processing and receivables collection periods, mirrors the instability of the underlying components. The cycle lengthened from a low of 129 days in July 2022 to a peak of 183 days in July 2025. This extension was primarily driven by the slowdown in inventory turnover. The period concludes with a significant contraction of the operating cycle to 123 days by April 2026, marking the most efficient level of short-term operating activity across the entire analyzed period.

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Turnover Ratios


Average No. Days



Inventory Turnover

Synopsys Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021 Jul 31, 2021 Apr 30, 2021 Jan 31, 2021
Selected Financial Data (US$ in thousands)
Cost of revenue 629,850 637,382 654,663 380,564 318,347 269,975 375,023 290,676 300,397 279,193 332,343 307,482 298,014 284,354 282,721 271,181 252,811 256,984 234,726 205,066 213,986 207,999
Inventories 441,836 393,221 365,190 382,056 395,339 415,199 361,849 386,009 377,875 382,727 325,590 282,791 256,426 220,881 211,927 219,736 213,532 212,919 229,023 241,103 230,068 230,907
Short-term Activity Ratio
Inventory turnover1 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 3.76 3.53 3.65 3.51
Benchmarks
Inventory Turnover, Competitors2
Cadence Design Systems Inc. 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
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. 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 19.81 22.53 25.21 17.25

Based on: 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-K (reporting date: 2025-10-31), 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-K (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-K (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-K (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31).

1 Q2 2026 Calculation
Inventory turnover = (Cost of revenueQ2 2026 + Cost of revenueQ1 2026 + Cost of revenueQ4 2025 + Cost of revenueQ3 2025) ÷ Inventories
= (629,850 + 637,382 + 654,663 + 380,564) ÷ 441,836 = 5.21

2 Click competitor name to see calculations.


The inventory turnover analysis reveals a cyclical pattern characterized by an initial period of efficiency gains, a subsequent decline driven by inventory accumulation, and a final phase of significant recovery associated with increased operational scale.

Initial Efficiency Growth (January 2021 – October 2022)
During this period, the inventory turnover ratio exhibited a consistent upward trajectory, rising from 3.51 to a peak of 5.02. This improvement occurred while inventory levels remained relatively stable, fluctuating between 211 million and 241 million US dollars, suggesting that the increase in turnover was primarily driven by a steady rise in the cost of revenue.
Inventory Accumulation and Turnover Decline (January 2023 – January 2024)
A reversal in the turnover trend is observed starting in early 2023. The ratio declined from 4.94 in January 2023 to a period low of 2.98 by January 2024. This downturn correlates with a substantial increase in inventory holdings, which grew from 220.8 million US dollars in January 2023 to 382.7 million US dollars by October 2023. The growth in inventory outpaced the growth in the cost of revenue during this timeframe, indicating a reduction in inventory liquidity and operational efficiency.
Recovery and Scaling Phase (April 2024 – April 2026)
A recovery phase began in mid-2024, with the turnover ratio gradually climbing from 3.17 in April 2024 to 5.21 by April 2026. A critical inflection point occurred in October 2025, where the cost of revenue increased sharply to 654.6 million US dollars. Although inventories continued to rise, reaching 441.8 million US dollars by April 2026, the surge in the cost of revenue exerted a stronger influence on the ratio, resulting in the highest turnover rates observed across the entire analyzed period.

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Receivables Turnover

Synopsys Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021 Jul 31, 2021 Apr 30, 2021 Jan 31, 2021
Selected Financial Data (US$ in thousands)
Revenue 2,275,985 2,408,798 2,254,860 1,739,737 1,604,266 1,455,315 1,635,986 1,525,749 1,454,712 1,510,989 1,599,128 1,487,288 1,394,863 1,361,340 1,284,292 1,247,766 1,279,229 1,270,255 1,152,419 1,057,130 1,024,323 970,321
Accounts receivable, net 1,267,305 1,640,665 1,505,427 1,392,373 1,002,195 892,647 934,470 805,198 834,918 1,064,135 946,967 666,577 779,892 1,035,323 796,091 682,647 722,992 1,038,749 568,501 577,845 612,285 789,320
Short-term Activity Ratio
Receivables turnover1 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 7.40 7.06 6.51 4.84
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 8.41 9.77 9.74 9.00
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
Cadence Design Systems Inc. 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
CrowdStrike Holdings Inc. 4.90 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. 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 24.64 16.04 16.60 79.16
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 4.42 6.08 5.61 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 7.48 8.56 8.91 8.57
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. 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 3.43 5.20 5.65 5.30
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. 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
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: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-K (reporting date: 2025-10-31), 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-K (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-K (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-K (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31).

1 Q2 2026 Calculation
Receivables turnover = (RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025 + RevenueQ3 2025) ÷ Accounts receivable, net
= (2,275,985 + 2,408,798 + 2,254,860 + 1,739,737) ÷ 1,267,305 = 6.85

2 Click competitor name to see calculations.


Revenue demonstrates a consistent long-term growth trajectory, ascending from 970.3 million USD in January 2021 to 2.28 billion USD by April 2026. This growth is accompanied by fluctuating levels of net accounts receivable, which exhibit a recurring pattern of expansion and contraction throughout the analyzed timeframe.

Receivables Turnover Volatility
The receivables turnover ratio displays significant quarterly volatility, oscillating between a high of 8.29 in July 2023 and a low of 4.34 in January 2022. This variability suggests inconsistent efficiency in converting credit sales into cash on a quarter-to-quarter basis.
Seasonal Performance Patterns
A distinct cyclical trend is observable, characterized by a recurring decline in the turnover ratio during the January quarters. Specifically, the ratio dropped to 4.34 in January 2022, 5.00 in January 2023, 4.62 in January 2025, and 4.88 in January 2026. These troughs align with peaks in net accounts receivable, indicating a seasonal accumulation of outstanding invoices at the start of the calendar year.
Correlation Between Revenue Surges and Collections
A substantial increase in revenue occurred between July 2025 and October 2025, with figures rising from 1.74 billion USD to 2.25 billion USD. During this period, accounts receivable increased from 1.39 billion USD to 1.51 billion USD, resulting in a relatively stagnant turnover ratio (shifting from 4.62 in January 2025 to 4.69 in October 2025). This indicates that the rapid expansion in sales volume during late 2025 was mirrored by an increase in outstanding receivables, preventing an improvement in collection efficiency.

The most recent data point from April 2026 shows a recovery in operational efficiency, with the turnover ratio rising to 6.85. This improvement was driven by a significant reduction in net accounts receivable to 1.27 billion USD, despite revenue remaining elevated at 2.28 billion USD.

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Working Capital Turnover

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

Microsoft Excel
Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021 Jul 31, 2021 Apr 30, 2021 Jan 31, 2021
Selected Financial Data (US$ in thousands)
Current assets 5,437,218 5,373,638 6,012,102 5,595,628 16,879,029 6,323,616 6,469,666 5,127,753 4,653,120 3,407,928 3,430,624 3,268,312 3,160,935 3,028,399 3,012,669 2,899,028 3,074,246 2,947,497 2,808,341 2,763,976 2,689,800 2,397,724
Less: Current liabilities 3,790,632 3,942,650 3,722,494 3,444,207 2,406,076 2,358,594 2,650,120 2,534,950 2,508,350 2,644,507 2,985,451 2,729,982 2,748,680 2,724,997 2,774,499 2,545,863 2,462,658 2,471,656 2,413,484 2,334,636 2,255,700 2,171,383
Working capital 1,646,586 1,430,988 2,289,608 2,151,421 14,472,953 3,965,022 3,819,546 2,592,803 2,144,770 763,421 445,173 538,330 412,255 303,402 238,170 353,165 611,588 475,841 394,857 429,340 434,100 226,341
 
Revenue 2,275,985 2,408,798 2,254,860 1,739,737 1,604,266 1,455,315 1,635,986 1,525,749 1,454,712 1,510,989 1,599,128 1,487,288 1,394,863 1,361,340 1,284,292 1,247,766 1,279,229 1,270,255 1,152,419 1,057,130 1,024,323 970,321
Short-term Activity Ratio
Working capital turnover1 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 10.65 9.50 9.18 16.88
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 12.77 7.71 8.35 7.70
Adobe Inc. 133.99 13.02 30.25 19.54 13.19 42.33 6.85 9.10 14.68 19.89 20.28 16.36 31.92 57.86 9.09 6.22 7.44 8.67
AppLovin Corp. 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
Cadence Design Systems Inc. 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
CrowdStrike Holdings Inc. 1.42 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. 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 3.85 3.40 5.45 1.74
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 1.76 1.71 1.44 1.37
Oracle Corp. 113.15 3.50 3.86 3.39 1.70 1.29 1.69 1.58 1.26
Palantir Technologies Inc. 0.64 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 3.52 2.15
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
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: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-K (reporting date: 2025-10-31), 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-K (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-K (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-K (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31).

1 Q2 2026 Calculation
Working capital turnover = (RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025 + RevenueQ3 2025) ÷ Working capital
= (2,275,985 + 2,408,798 + 2,254,860 + 1,739,737) ÷ 1,646,586 = 5.27

2 Click competitor name to see calculations.


An analysis of operating activity between January 2021 and April 2026 reveals a significant divergence between steady revenue growth and highly volatile working capital management. While the top line expanded consistently over the period, the efficiency of working capital utilization experienced a severe decline and subsequent partial recovery, driven by a massive liquidity event in 2025.

Revenue Trajectory
Revenue demonstrated a consistent upward trend, increasing from approximately $970 million in January 2021 to $2.28 billion by April 2026. This steady growth indicates a stable expansion of business operations and market reach over the five-year period.
Working Capital Volatility
Working capital remained relatively contained, generally staying below $764 million between January 2021 and October 2023. A sharp escalation began in January 2024, with values climbing rapidly to $3.97 billion by January 2025. A critical anomaly occurred in April 2025, where working capital spiked to $14.47 billion before reverting to a range between $1.43 billion and $2.29 billion in the subsequent quarters.
Working Capital Turnover Analysis
The turnover ratio, which measures the efficiency of using working capital to generate sales, remained robust from 2021 through 2023, frequently peaking above 15.0. However, the ratio entered a period of precipitous decline starting in 2024, reaching a nadir of 0.43 in April 2025. This collapse directly correlates with the surge in working capital, suggesting that the increase in current assets or decrease in current liabilities was not immediately matched by proportional revenue growth.
Recovery and Stabilization
Following the low point in April 2025, a recovery trend is observed. The turnover ratio climbed back to 2.99 in July 2025 and stabilized between 5.27 and 5.60 by the first half of 2026. While this represents a significant improvement from the 2025 trough, the efficiency levels remain notably lower than the peaks observed in the 2021-2023 period.

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Average Inventory Processing Period

Synopsys Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021 Jul 31, 2021 Apr 30, 2021 Jan 31, 2021
Selected Financial Data
Inventory turnover 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 3.76 3.53 3.65 3.51
Short-term Activity Ratio (no. days)
Average inventory processing period1 70 72 82 104 115 123 106 117 113 115 97 88 82 74 73 79 82 85 97 103 100 104
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Cadence Design Systems Inc. 151 153 139 112 119 145 201 131 156 152 141 127 117 126 120 115 125
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 4 8 6 7 9 16 14 16 17 24 22 20 19 23 18 16 14 21

Based on: 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-K (reporting date: 2025-10-31), 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-K (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-K (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-K (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31).

1 Q2 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 5.21 = 70

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a cyclical pattern in inventory management, characterized by three distinct phases: a period of increasing efficiency, a subsequent operational slowdown, and a final phase of rapid optimization. There is a consistent inverse correlation between the inventory turnover ratio and the average inventory processing period throughout the observed timeline.

Initial Efficiency Gains (2021 – late 2022)
A sustained improvement in inventory management is observed starting from January 31, 2021, where the processing period was 104 days. This period saw a steady decline in the time required to process inventory, reaching a local minimum of 73 days by October 31, 2022. This trend is mirrored by the inventory turnover ratio, which climbed from 3.51 to a peak of 5.02 during the same interval, indicating accelerated movement of goods.
Operational Deceleration (2023 – early 2025)
A reversal in efficiency occurred starting in 2023. The average inventory processing period shifted from 74 days in January 2023 to a series peak of 123 days by January 31, 2025. During this phase, the inventory turnover ratio experienced a corresponding decline, dropping to a low of 2.98. This expansion of the processing cycle suggests a period of slower inventory movement or an increase in stock levels relative to the cost of goods sold.
Accelerated Recovery and Optimization (mid 2025 – 2026)
Following the peak in January 2025, a sharp and consistent reduction in the processing period is evident. The number of days decreased from 123 to 70 days by April 30, 2026, representing the lowest processing period in the entire data set. This optimization is reflected in the inventory turnover ratio, which rose significantly to 5.21, indicating a high level of operational efficiency in the final quarters of the analysis.

Overall, the data indicates a volatile but ultimately improving trajectory in inventory turnover. The transition from a peak processing period of 123 days to a minimum of 70 days demonstrates a significant recovery in the speed of inventory circulation, ending the period with the strongest efficiency metrics observed in the reported timeframe.

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Average Receivable Collection Period

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

Microsoft Excel
Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021 Jul 31, 2021 Apr 30, 2021 Jan 31, 2021
Selected Financial Data
Receivables turnover 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 7.40 7.06 6.51 4.84
Short-term Activity Ratio (no. days)
Average receivable collection period1 53 75 78 79 59 54 56 48 50 65 59 44 54 73 57 50 55 84 49 52 56 75
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 43 37 37 41
AppLovin Corp. 116 121 113 116 120 110 101 99 104 106 102 85 80 91 84 86 89
Cadence Design Systems Inc. 68 65 53 48 43 54 47 50 35 44 40 42 48 50 42 44 42
CrowdStrike Holdings Inc. 75 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. 21 11 10 15 22 9 10 18 22 9 10 19 24 11 13 21 28 15 15 23 22 5
Microsoft Corp. 68 66 91 70 67 63 85 68 69 62 84 66 64 56 81 62 66 57 83 60 65 57
Oracle Corp. 56 55 54 53 54 54 54 51 48 47 51 47 49 49 51 40 39 40 49 43 41 43
Palantir Technologies Inc. 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 65 106 70 65 69
Salesforce Inc. 52 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
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: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-K (reporting date: 2025-10-31), 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-K (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-K (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-K (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31).

1 Q2 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 6.85 = 53

2 Click competitor name to see calculations.


The analysis of the average receivable collection period reveals a recurring seasonal pattern characterized by periodic spikes in collection duration and corresponding dips in receivables turnover.

Seasonal Cyclicality
A consistent trend is observed where the collection period peaks during the January quarters. Notable peaks occurred on January 31, 2022 (84 days), January 31, 2023 (73 days), and January 31, 2025 (79 days). This cyclical increase in the number of days required to collect receivables coincides with the lowest quarterly receivables turnover ratios, suggesting a recurring slowdown in cash conversion at the start of the calendar year.
Operational Efficiency Peaks
The most efficient collection periods are consistently recorded in the middle of the year. The shortest collection window was observed on July 31, 2023, at 44 days, followed by July 31, 2024, at 48 days. These periods correlate with the highest receivables turnover ratios, such as the peak of 8.29 in April 2023, indicating accelerated invoicing and payment cycles during these intervals.
Analysis of Recent Fluctuations
A period of extended collection duration is noted through the first half of 2025. The collection period remained elevated at 79 days in January 2025 and 78 days in April 2025, representing a deviation from previous years where a sharper decline typically followed the January peak. Despite this temporary extension, a return to historical efficiency levels is evident by April 30, 2026, as the collection period decreased to 53 days and the turnover ratio recovered to 6.85.

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Operating Cycle

Synopsys Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021 Jul 31, 2021 Apr 30, 2021 Jan 31, 2021
Selected Financial Data
Average inventory processing period 70 72 82 104 115 123 106 117 113 115 97 88 82 74 73 79 82 85 97 103 100 104
Average receivable collection period 53 75 78 79 59 54 56 48 50 65 59 44 54 73 57 50 55 84 49 52 56 75
Short-term Activity Ratio
Operating cycle1 123 147 160 183 174 177 162 165 163 180 156 132 136 147 130 129 137 169 146 155 156 179
Benchmarks
Operating Cycle, Competitors2
Cadence Design Systems Inc. 219 218 192 160 162 199 248 181 191 196 181 169 165 176 162 159 167
International Business Machines Corp. 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 80 101 76 79 78

Based on: 10-Q (reporting date: 2026-04-30), 10-Q (reporting date: 2026-01-31), 10-K (reporting date: 2025-10-31), 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-Q (reporting date: 2025-01-31), 10-K (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-Q (reporting date: 2024-01-31), 10-K (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-31), 10-K (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-Q (reporting date: 2022-01-31), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-Q (reporting date: 2021-01-31).

1 Q2 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 70 + 53 = 123

2 Click competitor name to see calculations.


The analysis of the operating cycle from January 2021 through April 2026 reveals a period of significant volatility followed by a notable improvement in operational efficiency. The operating cycle, which measures the time required to convert inventory and receivables into cash, exhibited several cyclical peaks and troughs, reaching a maximum of 183 days in July 2025 before declining to its lowest point of 123 days by April 2026.

Average Inventory Processing Period
A non-linear trend is observed in inventory management. The period initially declined from 104 days in January 2021 to a low of 73 days by October 2022, suggesting an increase in inventory turnover efficiency. However, a subsequent upward trend occurred, peaking at 123 days in January 2024. Since October 2024, a consistent and sharp contraction has been recorded, with the processing period dropping to 70 days by April 2026, indicating a significant optimization of inventory levels or a faster realization of sales.
Average Receivable Collection Period
The collection of receivables displays high quarterly volatility without a singular long-term directional trend. Periodic spikes are evident, such as the increase to 84 days in January 2022 and 79 days in July 2025. These peaks are typically followed by rapid corrections, with several troughs falling below 55 days, including a low of 44 days in July 2023. The period ended at 53 days, suggesting that while collection timing varies, it remains relatively stable compared to the fluctuations seen in inventory processing.
Operating Cycle Integration
The overall operating cycle is more heavily influenced by the inventory processing period than by the receivable collection period. The expansion of the cycle to 180-183 days between January 2024 and July 2025 was primarily driven by prolonged inventory holding times. Conversely, the substantial reduction in the operating cycle to 123 days by April 2026 is attributed to the simultaneous improvement in both inventory turnover and the acceleration of receivable collections during the final quarters of the observed period.

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