Stock Analysis on Net
Stock Analysis on Net

Synopsys Inc. (NASDAQ:SNPS)

$24.99

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
Jul 31, 2026 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
Receivables turnover
Working capital turnover
Average No. Days
Average inventory processing period
Add: Average receivable collection period
Operating cycle

Based on: 10-Q (reporting date: 2026-07-31), 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 analysis of operating activity ratios reveals a period of significant volatility followed by a recent trend toward improved operational efficiency. The company experienced a notable degradation in turnover metrics between early 2024 and early 2025, which has since been reversed in the most recent quarters.

Inventory Management Efficiency
Inventory turnover exhibited a cyclical pattern, peaking at 5.02 in October 2022 before declining to a low of 2.98 in January 2025. This decline corresponds with an increase in the average inventory processing period, which reached a maximum of 123 days during the same period. However, a strong recovery is observed from April 2025 through July 2026, with the turnover ratio rising to 5.43 and the processing period contracting to 67 days, indicating significantly faster movement of inventory in the most recent periods.
Receivables Collection Performance
The receivables turnover ratio shows persistent fluctuation, ranging from a low of 4.34 to a high of 8.29. The average receivable collection period experienced a period of elongation, peaking at 79 days in July 2024. Subsequent quarters demonstrate a consistent improvement in collection efficiency, with the period reducing to 51 days by July 2026, suggesting more effective credit management or improved customer payment behavior.
Working Capital Utilization
A dramatic shift in working capital turnover is evident. After reaching a peak of 21.34 in October 2022, the ratio entered a steep decline, reaching a critical low of 0.43 in April 2025. This suggests a substantial increase in working capital relative to sales volume during that timeframe. A partial recovery has occurred since mid-2025, with the ratio climbing back to 5.62 by July 2026, although it remains significantly below the levels observed in 2021 and 2022.
Overall Operating Cycle
The operating cycle, representing the total time from inventory acquisition to cash collection, fluctuated between a high of 183 days in July 2024 and a low of 118 days in July 2026. The expansion of the cycle through early 2024 was driven by simultaneous increases in both inventory processing and receivable collection times. The subsequent contraction to 118 days indicates a comprehensive improvement in the short-term operating efficiency of the business.

Turnover Ratios


Average No. Days


Inventory Turnover

Synopsys Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Jul 31, 2026 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
Inventories
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
Cadence Design Systems Inc.
International Business Machines Corp.
Microsoft Corp.

Based on: 10-Q (reporting date: 2026-07-31), 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 Q3 2026 Calculation
Inventory turnover = (Cost of revenueQ3 2026 + Cost of revenueQ2 2026 + Cost of revenueQ1 2026 + Cost of revenueQ4 2025) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of operating activity reveals a cyclical pattern in inventory management efficiency between January 2021 and July 2026. The inventory turnover ratio experienced an initial period of growth, followed by a significant contraction, and concluded with a strong upward trajectory reaching peak historical levels.

Cost of Revenue Trends
Cost of revenue exhibited a steady upward trend for the majority of the period. Initial quarterly figures around 207 million USD increased incrementally to approximately 332 million USD by July 2023. A notable surge occurred starting in October 2024, where costs jumped from 375 million USD to a peak of 679 million USD by July 2026, indicating a substantial increase in operational volume or scale of delivery.
Inventory Level Fluctuations
Inventory levels remained relatively stable between 210 million USD and 240 million USD from January 2021 through January 2023. However, a significant accumulation phase began in April 2023, with inventories rising to 382 million USD by October 2023. While levels fluctuated in the following quarters, a secondary increase was observed toward the end of the period, ending at 479 million USD in July 2026.
Inventory Turnover Ratio Analysis
The efficiency of inventory utilization evolved through three distinct phases. The first phase, from January 2021 to October 2022, showed improving efficiency as the ratio climbed from 3.51 to a peak of 5.02. The second phase, spanning January 2023 to January 2024, marked a period of decline, where the ratio dropped to a low of 2.98, coinciding with the rapid accumulation of inventory relative to the cost of revenue. The final phase, from April 2024 to July 2026, demonstrates a robust recovery and expansion, with the ratio ascending from 3.17 to 5.43.
Operational Insights
The correlation between the surge in cost of revenue and the rise in turnover ratio during 2025 and 2026 suggests that the company successfully scaled its operations to move larger volumes of inventory. The dip in turnover observed in late 2023 indicates a period of temporary overstocking or a mismatch between inventory procurement and revenue realization, which was subsequently corrected by the accelerated activity observed in the final quarters of the analysis.

Receivables Turnover

Synopsys Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Jul 31, 2026 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
Accounts receivable, net
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Adobe Inc.
AppLovin Corp.
Cadence Design Systems Inc.
Datadog Inc.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
Palantir Technologies Inc.
Palo Alto Networks Inc.
Salesforce Inc.
ServiceNow Inc.
Workday Inc.

Based on: 10-Q (reporting date: 2026-07-31), 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 Q3 2026 Calculation
Receivables turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Accounts receivable, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Revenue demonstrates a consistent long-term growth trajectory, increasing from 970,321 thousand US dollars in January 2021 to 2,476,822 thousand US dollars by July 2026. This upward trend is characterized by steady gains punctuated by a significant acceleration in revenue volume starting in October 2025.

Receivables Turnover Volatility
The receivables turnover ratio exhibits a recurring cyclical pattern. A characteristic decline is observed during the January period of most years, with the ratio reaching lows such as 4.34 in January 2022 and 5.00 in January 2023. This is typically followed by a recovery and peak in the second or third quarters, as evidenced by the high of 8.29 recorded in April 2023.
Correlation Between Receivables and Revenue
Accounts receivable balances tend to peak concurrently with the annual lows in turnover ratios. For instance, the increase in net accounts receivable to 1,038,749 thousand US dollars in January 2022 corresponds with a turnover drop to 4.34. A similar relationship is observed in the 2025-2026 period, where a substantial rise in receivables to 1,640,665 thousand US dollars in January 2026 coincided with a suppressed turnover ratio of 4.88.
Operational Efficiency Trends
Efficiency in collecting receivables fluctuated between a minimum of 4.34 and a maximum of 8.29 throughout the analyzed period. While the turnover ratio remained relatively stable between 5.63 and 7.56 during 2024, a period of relative inefficiency emerged between July 2025 and January 2026, where the ratio dipped below 5.00. This indicates a temporary slowing in the conversion of receivables into cash relative to revenue generation during that window.
Recent Performance Recovery
Following the dip in efficiency observed in late 2025, a sharp recovery is noted in the first half of 2026. The receivables turnover ratio rose from 4.88 in January 2026 to 7.14 by July 2026, despite the continued high volume of revenue, suggesting an improvement in credit collection processes or a shift in billing cycles.

Working Capital Turnover

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

Microsoft Excel
Jul 31, 2026 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
Less: Current liabilities
Working capital
 
Revenue
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Accenture PLC
Adobe Inc.
AppLovin Corp.
Cadence Design Systems Inc.
Datadog Inc.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
Palantir Technologies Inc.
Palo Alto Networks Inc.
Salesforce Inc.
ServiceNow Inc.
Workday Inc.

Based on: 10-Q (reporting date: 2026-07-31), 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 Q3 2026 Calculation
Working capital turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The observed period is characterized by a consistent upward trend in revenue, contrasted by significant volatility in working capital levels, which led to dramatic fluctuations in the working capital turnover ratio. Revenue grew steadily from approximately 970 million US$ in January 2021 to 2.48 billion US$ by July 2026. However, the efficiency with which working capital was utilized to generate this revenue experienced three distinct phases of activity.

High Efficiency Phase (2021–2023)
Between January 2021 and October 2023, the working capital turnover ratio remained generally high, frequently operating in the double digits. A peak efficiency level of 21.34 was reached in October 2022, suggesting a lean operational structure where a relatively small amount of working capital supported substantial revenue generation. During this phase, the ratio fluctuated but remained predominantly above 7.85.
Liquidity Surge and Ratio Contraction (2024–Early 2025)
A period of sharp decline in turnover efficiency began in January 2024. This was driven by a massive expansion of working capital, which rose from 763 million US$ in late 2023 to an anomalous peak of 14.47 billion US$ in April 2025. This surge caused the working capital turnover ratio to collapse, reaching a historical low of 0.43. The inverse relationship between the skyrocketing working capital and the steady revenue growth indicates a period of significant liquidity accumulation or a substantial balance sheet adjustment.
Normalization and Recovery Phase (Mid 2025–2026)
Following the April 2025 peak, working capital levels corrected sharply, returning to a range between 1.43 billion US$ and 2.29 billion US$. This correction led to a gradual recovery of the turnover ratio, which rose from 2.99 in July 2025 to 5.62 by July 2026. Although the ratio improved significantly from its trough, the efficiency level in 2026 remained lower than the benchmarks established during the 2021–2023 period, suggesting a permanently higher baseline of working capital required to support the expanded revenue scale.

Average Inventory Processing Period

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

Microsoft Excel
Jul 31, 2026 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
Short-term Activity Ratio (no. days)
Average inventory processing period1
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Cadence Design Systems Inc.
International Business Machines Corp.
Microsoft Corp.

Based on: 10-Q (reporting date: 2026-07-31), 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 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of inventory metrics reveals a distinct cyclical pattern in operational efficiency over the observed period, characterized by three primary phases of fluctuation in turnover rates and processing durations.

Initial Efficiency Optimization (January 2021 – October 2022)
A consistent improvement in inventory management is observed during this interval. Inventory turnover rose from 3.51 to a peak of 5.02, while the average inventory processing period decreased from 104 days to 73 days, indicating a more rapid conversion of inventory into sales.
Operational Deceleration (January 2023 – January 2025)
A reversal in performance occurred starting in early 2023. The inventory turnover ratio experienced a steady decline, reaching a low of 2.98 by January 2025. Correspondingly, the processing period lengthened significantly, peaking at 123 days. This trend suggests a buildup of inventory or a slowing of sales velocity during this timeframe.
Accelerated Recovery and Peak Performance (April 2025 – July 2026)
The final period shows a sharp and sustained increase in operational efficiency. Inventory turnover accelerated to its highest recorded level of 5.43 by July 2026. Consequently, the average inventory processing period dropped to its lowest point of 67 days, representing a substantial reduction in the time required to move inventory through the system.

The correlation between the turnover ratio and the processing period remains strictly inverse throughout the entire sequence. The significant transition from a peak processing period of 123 days in January 2025 to a minimum of 67 days by July 2026 indicates a rapid optimization of supply chain logistics or a strategic shift in inventory holding policies.


Average Receivable Collection Period

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

Microsoft Excel
Jul 31, 2026 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
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Adobe Inc.
AppLovin Corp.
Cadence Design Systems Inc.
Datadog Inc.
International Business Machines Corp.
Intuit Inc.
Microsoft Corp.
Oracle Corp.
Palantir Technologies Inc.
Palo Alto Networks Inc.
Salesforce Inc.
ServiceNow Inc.
Workday Inc.

Based on: 10-Q (reporting date: 2026-07-31), 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 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of the average receivable collection period reveals a recurring cyclical pattern in liquidity management from January 2021 through July 2026. A consistent seasonal fluctuation is observed, characterized by extended collection windows in the first quarter of each year followed by a significant tightening of the collection cycle mid-year.

Seasonal Volatility and Cyclicality
A recurring trend indicates that the collection period peaks during January reporting intervals, reaching highs of 84 days in January 2022 and 73 days in January 2023. Conversely, a notable contraction in the collection cycle typically occurs in July, with the most efficient collection period of 44 days recorded in July 2023.
Receivables Turnover Correlation
The receivables turnover ratio exhibits a strict inverse relationship with the collection period. Turnover ratios reached a peak of 8.29 in July 2023, aligning with the minimum collection period of 44 days. The lowest turnover ratio of 4.34 in January 2022 corresponds directly to the maximum collection period of 84 days, demonstrating a direct link between turnover efficiency and the speed of cash conversion.
Recent Performance Trends
Throughout 2024, the collection period showed moderate stability, fluctuating between 48 and 65 days. A shift occurred in 2025, where the collection period extended to 79 days by July 2025, signaling a temporary increase in the time required to convert receivables into cash. This trend reversed in 2026, with the period returning to 51 days by July 2026, consistent with historical mid-year troughs.

Operating Cycle

Synopsys Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Jul 31, 2026 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
Average receivable collection period
Short-term Activity Ratio
Operating cycle1
Benchmarks
Operating Cycle, Competitors2
Cadence Design Systems Inc.
International Business Machines Corp.
Microsoft Corp.

Based on: 10-Q (reporting date: 2026-07-31), 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 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The operating cycle exhibits significant volatility and a cyclical pattern over the observed period, characterized by fluctuating inventory management efficiency and recurring seasonality in receivable collections. While the cycle experienced a notable expansion between 2023 and early 2025, a strong corrective trend emerged in late 2025 and 2026, leading to the lowest operating cycle duration in the recorded series.

Average Inventory Processing Period
A non-linear trend is observed in inventory processing. The period initially declined from 104 days in January 2021 to a low of 73 days by October 2022. This was followed by a steady increase, peaking at 123 days in January 2024, suggesting a period of inventory accumulation or slower throughput. However, a substantial improvement occurred from April 2025 onward, with the processing period dropping consistently to 67 days by July 2026, indicating enhanced inventory turnover efficiency.
Average Receivable Collection Period
Receivable collections demonstrate a clear seasonal volatility. Spikes in the collection period consistently occur around January (e.g., 84 days in January 2022, 73 days in January 2023, and 79 days in July 2025), while the most efficient collection windows typically appear in the second and third quarters of each year, often dropping to the 40-50 day range. Despite these fluctuations, the period ended at 51 days in July 2026, aligning with the lower end of its historical range.
Operating Cycle
The overall operating cycle reflects the combined impact of inventory and receivable trends. The cycle reached a historical peak of 183 days in July 2025, driven by the simultaneous rise in both inventory processing and receivable collection times. Following this peak, a rapid contraction is evident, with the cycle decreasing to 118 days by July 2026. This represents a significant optimization of working capital, as the duration required to convert resources into cash was reduced by 65 days from its peak.