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
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 Oct 31, 2020 Jul 31, 2020 Apr 30, 2020 Jan 31, 2020 Oct 31, 2019 Jul 31, 2019 Apr 30, 2019 Jan 31, 2019
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: 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), 10-K (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-Q (reporting date: 2020-01-31), 10-K (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30), 10-Q (reporting date: 2019-01-31).


The financial data reveals several notable trends in turnover ratios and period metrics over the reviewed quarterly intervals. These insights offer a perspective on operational efficiency related to inventory management, receivables, and working capital utilization.

Inventory Turnover
The inventory turnover ratio begins at a relatively high level around 5.32 but shows a generally declining trend over time. It decreases to a low near 2.98 by early 2025. This decline suggests a slowdown in how quickly inventory is sold and replenished, indicating potential challenges in inventory management or changes in demand patterns.
Receivables Turnover
This ratio exhibits greater volatility, initially decreasing from about 6.07 to lows near 4.22 before rising again toward 8.29 at certain points. Despite fluctuations, it seems to maintain a moderate range between roughly 4 and 8. This variability may reflect changing credit policies, collection effectiveness, or customer payment behaviors.
Working Capital Turnover
The working capital turnover ratio shows a highly variable pattern, with peak values up to approximately 27.06 before declining sharply in later quarters, reaching very low levels near 0.43. Such a drop indicates a decreased efficiency in using working capital to generate sales, possibly stemming from increased current assets or decreased sales volumes.
Average Inventory Processing Period
The average days required to process inventory mostly increases from about 69 days to peaks exceeding 115 days in the later periods. This extension implies slower inventory movement and could signal accumulation or obsolescence issues.
Average Receivable Collection Period
The days to collect receivables display fluctuation, ranging from 44 up to 86 days. While there are periods of improvement, the variability indicates inconsistent collection performance or changing customer payment terms.
Operating Cycle
The operating cycle length fluctuates between roughly 129 days and peaks near 180 days. This implies periods where the time from inventory acquisition through receivables collection lengthens, potentially affecting cash flow timing and operational liquidity.

In summary, over the observed quarters, the company exhibits a gradual slowdown in inventory turnover accompanied by increased inventory holding periods. Receivables turnover and collection periods oscillate, indicating variable credit and collection dynamics. The sharp decline in working capital turnover underscores a possible decrease in operational efficiency or shifts in working capital structure. The overall extension of the operating cycle signals longer cash conversion periods, which may require management attention to optimize working capital and enhance liquidity.


Turnover Ratios


Average No. Days


Inventory Turnover

Synopsys Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
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 Oct 31, 2020 Jul 31, 2020 Apr 30, 2020 Jan 31, 2020 Oct 31, 2019 Jul 31, 2019 Apr 30, 2019 Jan 31, 2019
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: 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), 10-K (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-Q (reporting date: 2020-01-31), 10-K (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30), 10-Q (reporting date: 2019-01-31).

1 Q2 2025 Calculation
Inventory turnover = (Cost of revenueQ2 2025 + Cost of revenueQ1 2025 + Cost of revenueQ4 2024 + Cost of revenueQ3 2024) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The financial data over the indicated periods reveals several noteworthy trends concerning cost of revenue, inventories, and inventory turnover.

Cost of Revenue
The cost of revenue displays a fluctuating pattern throughout the periods. Initially, from early 2019 to 2020, the cost oscillated moderately around the range of approximately $182 million to $193 million. Starting from late 2020, there is an observable upward trajectory, peaking notably around late 2024 with a figure nearing $375 million. This represents a significant increase relative to earlier periods. The data also indicate intermittent declines in certain quarters, reflecting possibly varying operational or sales volumes, but the overall trend from 2019 through 2025 points toward an escalation in cost of revenue.
Inventories
Inventories have generally increased over the timeframe. In early 2019, inventories were in the range of about $137 million, and despite some fluctuations, there was a discernible upward movement reaching over $415 million by early 2025. The inventory values exhibit spikes at some points, such as between early and late 2023, suggesting accumulation or stockpiling activities. Occasional decreases are also evident but tend to be temporary within the broader rising trend.
Inventory Turnover
The inventory turnover ratio, which indicates how many times inventory is sold and replaced over a period, has exhibited a decreasing trend over time. Starting from values above 5 in early periods (mid-2019), turnover has declined progressively to below 3 in several of the later periods, notably dipping to 2.98 at one point. This decline signals a slower movement of inventory, implying either lengthening holding periods or increased inventory levels relative to sales. The downward trend in turnover ratio alongside rising inventory levels could suggest growing stock holdings or changes in sales dynamics that merit further investigation.

In summary, the company's cost of revenue and inventories show increasing trends over the analyzed quarters, while inventory turnover ratios are decreasing, implying slower inventory movement. These patterns may indicate shifts in operational scale, market demand, or inventory management practices during the period under review.


Receivables Turnover

Synopsys Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
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 Oct 31, 2020 Jul 31, 2020 Apr 30, 2020 Jan 31, 2020 Oct 31, 2019 Jul 31, 2019 Apr 30, 2019 Jan 31, 2019
Selected Financial Data (US$ in thousands)
Revenue
Accounts receivable, net
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Adobe Inc.
Cadence Design Systems Inc.
CrowdStrike Holdings Inc.
Fair Isaac Corp.
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: 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), 10-K (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-Q (reporting date: 2020-01-31), 10-K (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30), 10-Q (reporting date: 2019-01-31).

1 Q2 2025 Calculation
Receivables turnover = (RevenueQ2 2025 + RevenueQ1 2025 + RevenueQ4 2024 + RevenueQ3 2024) ÷ Accounts receivable, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The revenue figures demonstrate a general upward trend over the period analyzed. Starting from approximately $820 million in January 2019, revenue experiences fluctuations but predominantly increases, reaching peaks above $1.5 billion by late 2023 and early 2024. Occasional declines are observed, such as a dip around early 2025; however, these are followed by recoveries, indicating overall growth in company sales.

Accounts receivable, net, displays notable volatility throughout the time frame. The values fluctuate significantly from about $762 million in early 2019, with several cycles of sharp rises and decreases. Peaks such as those observed around January 2022 and January 2023 surpass $1 billion, while troughs fall back to the range of approximately $500 million to $700 million. This variability may suggest changes in credit terms, collection efficiency, or sales mix. The irregular pattern suggests that cash flow management could be subject to periodic pressures.

The receivables turnover ratio, available from mid-2019 onward, oscillates between values generally ranging from about 4.2 to 8.3. The ratio demonstrates periods of higher turnover, such as mid to late 2021, indicating improved efficiency in collecting receivables. Conversely, lower turnover ratios, for example around the middle of 2020 and early 2022, suggest slower collection cycles. The ratio’s volatility aligns with the fluctuations in net receivables and points to variations in receivables management effectiveness across quarters.

In summary, the data illustrates steadily growing revenues with some short-term declines, coupled with highly variable accounts receivable balances. The receivables turnover ratio indicates fluctuating efficiency in managing credit and collections. Attention toward stabilizing receivables and maintaining efficient collection processes could enhance liquidity and support ongoing revenue growth.

Revenue
Shows an overall increasing trend from $820 million in early 2019 to peaks above $1.5 billion by late 2023, indicating sustained growth with some quarter-to-quarter variability.
Accounts Receivable, Net
Exhibits significant volatility with sharp rises and decreases across the periods, peaking over $1 billion at points, suggesting variable credit policies or collection challenges.
Receivables Turnover
Varies between approximately 4.2 and 8.3, reflecting fluctuating efficiency in collections, with periods of both improved and slowed turnover consistent with changes in accounts receivable balances.

Working Capital Turnover

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

Microsoft Excel
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 Oct 31, 2020 Jul 31, 2020 Apr 30, 2020 Jan 31, 2020 Oct 31, 2019 Jul 31, 2019 Apr 30, 2019 Jan 31, 2019
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.
Cadence Design Systems Inc.
CrowdStrike Holdings Inc.
Fair Isaac Corp.
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: 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), 10-K (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-Q (reporting date: 2020-01-31), 10-K (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30), 10-Q (reporting date: 2019-01-31).

1 Q2 2025 Calculation
Working capital turnover = (RevenueQ2 2025 + RevenueQ1 2025 + RevenueQ4 2024 + RevenueQ3 2024) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of the quarterly financial figures reveals several noteworthy trends over the observed periods. Working capital exhibited considerable volatility, with negative values in the initial quarters and a marked pivot to substantially positive figures starting from mid-2020. This shift indicates a significant improvement in the company's short-term liquidity position. The working capital increased dramatically, peaking in early 2024, which might reflect either an accumulation of current assets or a reduction in current liabilities.

Revenue figures show a consistent upward trend from 2019 to 2024, with occasional fluctuations. The growth in revenue is generally steady, indicating expanding business operations or increasing sales volume. Despite some quarters showing minor declines or stagnation, the overall direction is positive. These revenue increases suggest effective market strategies or product demand continuity.

The working capital turnover ratio, which relates revenue to working capital, depicts a pattern of decline after an early peak. Initially, the ratio was high, suggesting efficient usage of working capital to generate sales. However, as the working capital grew sharply, turnover decreased substantially, implying that working capital grew at a faster rate than revenue. This decline in turnover may indicate diminishing operational efficiency in utilizing working capital for generating sales or a strategic buildup of working capital in anticipation of future operations.

Working Capital
Started with negative values in 2019, turning positive and increasing significantly from mid-2020 onward.
Reached highest levels in early 2024, signifying a strong liquidity buffer or increased current assets.
Showed some fluctuations after mid-2022 but remained generally high compared to earlier periods.
Revenue
Displayed steady growth from 2019 to 2024, with an overall increasing trend despite minor quarterly decreases.
Notable acceleration occurred from 2020-2023, suggesting expanding sales or market share growth.
Working Capital Turnover Ratio
High ratios in 2020 indicate efficient use of working capital to drive revenue.
Subsequent decreases in the ratio correlate with rising working capital, reflecting a lag in revenue growth relative to working capital increases.
Lowest ratios toward 2024 suggest potential overcapitalization or less efficient working capital usage.

Average Inventory Processing Period

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

Microsoft Excel
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 Oct 31, 2020 Jul 31, 2020 Apr 30, 2020 Jan 31, 2020 Oct 31, 2019 Jul 31, 2019 Apr 30, 2019 Jan 31, 2019
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: 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), 10-K (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-Q (reporting date: 2020-01-31), 10-K (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30), 10-Q (reporting date: 2019-01-31).

1 Q2 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The inventory turnover ratio exhibits a clear downward trend over the entire period analyzed, beginning with a ratio above 5 in early 2019 and gradually declining to levels around 3 by the beginning of 2025. Notably, the ratio peaked at 5.32 early in 2020, followed by a steady decline with minor fluctuations. Toward the later years, this decline becomes more pronounced, reaching the lowest points near 3.0 in late 2024 and early 2025.

Concurrently, the average inventory processing period, which is inversely related to the turnover ratio, shows an upward trajectory across the timeframe. Starting from roughly 69 days in early 2019, the processing period lengthened to over 123 days by the first quarter of 2025. This indicates that inventory is held longer before being processed or sold. The most notable increases occurred from mid-2022 onwards, where the average days extended substantially, reflecting slower inventory movement.

The contrasting trends between these two metrics suggest a potential shift in operational or market dynamics affecting inventory management. The declining inventory turnover ratio coupled with a rising processing period indicates a decrease in inventory efficiency. The company may be experiencing challenges in selling or utilizing inventory as rapidly as before, possibly due to demand fluctuations, supply chain constraints, or changes in inventory strategy.

Overall, these trends reveal a deceleration in inventory turnover efficiency over the examined period, signaling the need for further investigation into underlying causes and consideration of measures to optimize inventory management practices.


Average Receivable Collection Period

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

Microsoft Excel
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 Oct 31, 2020 Jul 31, 2020 Apr 30, 2020 Jan 31, 2020 Oct 31, 2019 Jul 31, 2019 Apr 30, 2019 Jan 31, 2019
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.
Cadence Design Systems Inc.
CrowdStrike Holdings Inc.
Fair Isaac Corp.
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: 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), 10-K (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-Q (reporting date: 2020-01-31), 10-K (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30), 10-Q (reporting date: 2019-01-31).

1 Q2 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of the receivables management metrics over the observed periods indicates fluctuations in both the receivables turnover ratio and the average receivable collection period. The data reveals periods of variability reflecting changes in the company's efficiency in collecting receivables.

Receivables Turnover Ratio
The receivables turnover ratio exhibits noticeable variation throughout the timeline. Initially, it starts at 6.07 and declines to a low of 4.22 and 4.72 in certain quarters, indicating slower collection efficiency during those periods. However, it improves significantly in various subsequent quarters reaching peaks such as 7.56 and 8.29, followed by intermittent decreases. This pattern implies alternating periods of more effective and less effective receivables collection.
Overall, the turnover ratio tends to hover around a mid-range but with significant quarter-to-quarter volatility. Such fluctuations suggest changes in either credit policies, customer payment behaviors, or sales mix impacting the rate at which receivables are converted to cash.
Average Receivable Collection Period
This metric inversely mirrors the turnover ratio as expected, showing how many days on average receivables remain outstanding. There is fluctuation from about 44 days up to 86 days across different quarters, indicating the variability in collection times.
Periods with higher average collection days correspond closely with lower turnover ratios, evidencing slower collections in those intervals. Conversely, when the average collection period shortens to around 44-50 days, turnover ratios increase, reflecting improved collection processes.
Trends and Insights
The data suggests a cyclical pattern of collection efficiency, with no consistent trend towards steady improvement or deterioration. Some quarters demonstrate marked improvements in turnover and reduced collection days, which may align with operational changes or external factors affecting customer payments.
The presence of considerable variability indicates that receivables management could be influenced by seasonal factors, changing credit terms, or fluctuations in sales credit quality. This warrants continuous monitoring and potentially targeted strategies to stabilize and optimize cash flow from receivables.

Operating Cycle

Synopsys Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
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 Oct 31, 2020 Jul 31, 2020 Apr 30, 2020 Jan 31, 2020 Oct 31, 2019 Jul 31, 2019 Apr 30, 2019 Jan 31, 2019
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: 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), 10-K (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-Q (reporting date: 2020-01-31), 10-K (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30), 10-Q (reporting date: 2019-01-31).

1 Q2 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The analysis of the financial data reveals several important trends concerning the inventory processing period, receivable collection period, and the overall operating cycle over the observed quarters.

Average Inventory Processing Period
This metric exhibits a general upward trend from a starting point around 69 days in early 2020, increasing to a peak exceeding 117 days by late 2024. Although there are fluctuations within specific quarters, the inventory processing period lengthens significantly over the time span, indicating that inventory is being held longer before processing. A slight decline is noticeable during some mid-period quarters, but the overall trajectory points towards an extension in the processing timeframe.
Average Receivable Collection Period
The receivable collection period shows considerable variability throughout the periods under review. Beginning near 60 days, this period spikes to as high as 86 days in mid-2020, then fluctuates downwards to around 44 days by mid-2023. However, following this low point, the collection period experiences intermittent rises and falls, generally remaining within the 50 to 60 days range toward the latest periods. This suggests some inconsistency in cash collection speed, with occasional delays but an overall moderate collection duration.
Operating Cycle
The operating cycle, which combines inventory processing and receivable collection periods, displays a consistent pattern of increase from approximately 129 days in early 2020 to about 180 days by late 2024. Periodic fluctuations are present, but the progression generally points toward longer overall operational durations. This trend is driven mainly by the extension in inventory processing and compounded by the variable receivable collection periods.

In summary, the company's operational efficiency as reflected through these time-based metrics appears to be undergoing a phase of elongation. The increased inventory holding times paired with fluctuating but generally moderate receivable collection intervals are resulting in a longer operating cycle. Such trends could imply challenges in inventory turnover and cash conversion efficiency, which may have implications for working capital management and liquidity over the analyzed period.