Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Paying user area
Try for free
Monolithic Power Systems Inc. pages available for free this week:
- Common-Size Balance Sheet: Liabilities and Stockholders’ Equity
- Analysis of Liquidity Ratios
- DuPont Analysis: Disaggregation of ROE, ROA, and Net Profit Margin
- Enterprise Value (EV)
- Present Value of Free Cash Flow to Equity (FCFE)
- Net Profit Margin since 2005
- Return on Assets (ROA) since 2005
- Total Asset Turnover since 2005
- Price to Earnings (P/E) since 2005
- Price to Book Value (P/BV) since 2005
The data is hidden behind: . Unhide it.
Get full access to the entire website from $10.42/mo, or
get 1-month access to Monolithic Power Systems Inc. for $22.49.
This is a one-time payment. There is no automatic renewal.
We accept:
Short-term Activity Ratios (Summary)
Based on: 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: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
The financial data over the observed periods indicates several notable trends in the company’s operational efficiency and liquidity management.
- Inventory Turnover
- The inventory turnover ratio shows a declining trend from 2.41 to a low of 1.67, indicating slower inventory movement through mid-2022. However, starting from late 2022, the ratio gradually improved, reaching 2.35 by late 2024, suggesting better inventory management or increased sales relative to inventory levels.
- Receivables Turnover
- Receivables turnover fluctuated moderately, beginning at 12.63 and showing a general downward trend into mid-2023, dropping to approximately 9.4, indicating slower collection of accounts receivable. In the most recent periods, the ratio recovered somewhat to 12.79 before slightly declining again to 11.11, which may reflect variability in credit sales collection efficiency.
- Payables Turnover
- Payables turnover exhibits considerable volatility. Initially declining from 9.92 to 6.29 between early 2020 and early 2022, the ratio then oscillated between 7.86 and 13.43 in subsequent quarters. The peak in payables turnover ratio around early 2023 suggests accelerated payment to suppliers, followed by mixed trends, highlighting inconsistent payment timing or changes in supplier terms.
- Working Capital Turnover
- This metric generally increased from 1.21 in early 2020 to 1.62 by late 2021, indicating more effective utilization of working capital in generating sales. Afterward, it declined to a trough of 1.10 in mid-2023 but then rose sharply to 1.74 by late 2024, implying enhanced operational efficiency in recent periods.
- Average Inventory Processing Period
- There is a clear increase in the average inventory processing period from 151 days to a peak of 219 days in early 2022, reflecting slower inventory turnover. Subsequently, it gradually reduced to about 155 days by late 2024, consistent with the improvements observed in the inventory turnover ratio.
- Average Receivable Collection Period
- The number of days to collect receivables fluctuated between 26 and 39 days, with a rising trend peaking mid-2023 and a subsequent return closer to the lower end of the range. This variability suggests inconsistent collection practices or seasonal effects on receivables.
- Operating Cycle
- The operating cycle lengthened substantially from 180 days in early 2020 to approximately 256 days in mid-2023, indicating extended combined inventory and receivables periods. A subsequent decline to 184 days by late 2024 points to improved overall operational efficiency.
- Average Payables Payment Period
- The average days payable increased from 37 days to a peak of 58 days by early 2022, suggesting delayed payments to suppliers, potentially to conserve cash. Following this peak, the payment period shortened significantly to 27 days toward late 2022, before fluctuating in the 30-46 day range thereafter, indicating variability in supplier payment policies or cash flow management strategies.
- Cash Conversion Cycle
- The cash conversion cycle (CCC) followed a pattern of initial improvement, dropping from 143 days to a low of 121 days, before rising sharply to 226 days in early 2023. This increase reflects longer cash tied up in inventory and receivables relative to payables. Subsequent reductions to around 145 days by late 2024 show improved liquidity management and cash flow efficiency.
Overall, the data reveals a period of operational challenges with slower inventory turnover and extended receivables and cash conversion cycles peaking around early to mid-2023. However, the later periods show a recovery in efficiency metrics. Enhanced working capital turnover and reduced operating and cash conversion cycles suggest improved management of inventory, receivables, and payables, leading to better cash flow and operational effectiveness in the most recent quarters.
Turnover Ratios
Average No. Days
Inventory Turnover
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 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||
Cost of revenue | ||||||||||||||||||||||||||||
Inventories | ||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Inventory turnover1 | ||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||
Inventory Turnover, Competitors2 | ||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
Analog Devices Inc. | ||||||||||||||||||||||||||||
Applied Materials Inc. | ||||||||||||||||||||||||||||
Broadcom Inc. | ||||||||||||||||||||||||||||
Intel Corp. | ||||||||||||||||||||||||||||
KLA Corp. | ||||||||||||||||||||||||||||
Lam Research Corp. | ||||||||||||||||||||||||||||
Micron Technology Inc. | ||||||||||||||||||||||||||||
NVIDIA Corp. | ||||||||||||||||||||||||||||
Qualcomm Inc. | ||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 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: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Inventory turnover
= (Cost of revenueQ1 2025
+ Cost of revenueQ4 2024
+ Cost of revenueQ3 2024
+ Cost of revenueQ2 2024)
÷ Inventories
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals several notable trends related to the cost of revenue, inventories, and inventory turnover ratios over the observed periods.
- Cost of Revenue
- The cost of revenue has demonstrated a general upward trajectory throughout the entire period. Starting from $74,331 thousand in the first quarter of 2020, it shows steady increases each quarter with minor fluctuations. The cost increased significantly, reaching over $284,000 thousand by the first quarter of 2025. This rising trend indicates increasing expenses directly associated with producing goods or services, possibly reflecting expanded operations, higher production volumes, or increased input costs.
- Inventories
- The inventory levels have also exhibited a consistent upward trend, starting at $131,499 thousand in March 2020 and escalating to $454,793 thousand by March 2025. This substantial growth suggests accumulation or stockpiling of inventory over time. Notably, there were sharp increases between certain quarters, such as from $311,040 thousand in March 2022 to $447,290 thousand by December 2022. The pattern over the later periods shows some fluctuations but generally maintains a high inventory base, which may indicate strategies for managing supply chain uncertainties or preparation for anticipated demand increases.
- Inventory Turnover Ratio
- The inventory turnover ratio, available from September 2020 onward, displays variability but an overall moderate declining trend initially, moving from 2.41 to a low of 1.67 around December 2022, indicating slower movement of inventory relative to cost of goods sold during that time. After this period, the ratio improves steadily, reaching approximately 2.34 by the first quarter of 2025. This recovery suggests enhanced efficiency in inventory management or increased sales performance relative to inventory levels in the most recent quarters.
In summary, the data reveals that despite rising costs and significantly higher inventory holdings, the company has managed to improve inventory turnover in more recent periods. The earlier decline in turnover ratio could reflect challenges such as slower sales growth or supply chain adjustments, while the recent improvements may indicate operational optimizations or market conditions leading to faster inventory cycling. Monitoring these metrics will be important for evaluating the balance between growth, operational efficiency, and capital utilization going forward.
Receivables Turnover
Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||
Revenue | ||||||||||||||||||||||||||||
Accounts receivable, net | ||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Receivables turnover1 | ||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||
Receivables Turnover, Competitors2 | ||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
Analog Devices Inc. | ||||||||||||||||||||||||||||
Applied Materials Inc. | ||||||||||||||||||||||||||||
Broadcom Inc. | ||||||||||||||||||||||||||||
Intel Corp. | ||||||||||||||||||||||||||||
KLA Corp. | ||||||||||||||||||||||||||||
Lam Research Corp. | ||||||||||||||||||||||||||||
Micron Technology Inc. | ||||||||||||||||||||||||||||
NVIDIA Corp. | ||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 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: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Receivables turnover
= (RevenueQ1 2025
+ RevenueQ4 2024
+ RevenueQ3 2024
+ RevenueQ2 2024)
÷ Accounts receivable, net
= ( + + + )
÷ =
2 Click competitor name to see calculations.
- Revenue Trends
- The revenue demonstrated a generally upward trajectory over the analyzed periods, rising from approximately $165.8 million in the first quarter of 2020 to an estimated $637.6 million by the first quarter of 2025. Moderate fluctuations were observed with notable increases during mid-2021 to mid-2022, peaking at around $495.4 million in the third quarter of 2022, followed by a slight decline towards the end of 2022. However, revenue rebounded subsequently, reaching new highs in 2024 and maintaining strong growth into early 2025.
- Accounts Receivable, Net Trends
- Accounts receivable showed an increasing pattern aligned with the revenue growth, rising from approximately $54.3 million in early 2020 to about $214.9 million by the first quarter of 2025. The growth pace was uneven, with some quarters reflecting sharper increases, particularly between 2021 and 2023. Notably, in the first quarter of 2024, there was an observed decline to $157.9 million before rising again towards the end of the timeline. This trend could indicate variations in collection efficiency or sales terms over time.
- Receivables Turnover Ratio Analysis
- The receivables turnover ratio exhibited moderate volatility over the periods with values ranging roughly between 9.4 and 13.8. Early data for 2020 were not available, but from the third quarter of 2020 onwards, the ratio generally trended downward until early 2023, indicating a possibly slower collection process relative to sales. Following this, some recovery was noted, with the ratio improving to over 12 by the third quarter of 2024 before slightly declining again. The fluctuations suggest intermittent changes in credit policies or collection effectiveness during the reporting periods.
- Overall Observations
- The overall financial data reflect a company experiencing solid growth in revenue alongside increasing accounts receivable, accompanied by variable efficiency in receivables collection. The growth in accounts receivable proportionate to revenue could signal relaxed credit terms or increased sales on credit, which may require monitoring to mitigate collection risks. The receivables turnover ratio's variability underscores the need for ongoing assessment of credit and collection practices to maintain liquidity and cash flow stability.
Payables Turnover
Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||
Cost of revenue | ||||||||||||||||||||||||||||
Accounts payable | ||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Payables turnover1 | ||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||
Payables Turnover, Competitors2 | ||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
Analog Devices Inc. | ||||||||||||||||||||||||||||
Broadcom Inc. | ||||||||||||||||||||||||||||
Intel Corp. | ||||||||||||||||||||||||||||
KLA Corp. | ||||||||||||||||||||||||||||
Lam Research Corp. | ||||||||||||||||||||||||||||
NVIDIA Corp. | ||||||||||||||||||||||||||||
Qualcomm Inc. | ||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 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: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Payables turnover
= (Cost of revenueQ1 2025
+ Cost of revenueQ4 2024
+ Cost of revenueQ3 2024
+ Cost of revenueQ2 2024)
÷ Accounts payable
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The cost of revenue exhibits a generally upward trend over the analyzed period, beginning at approximately $74.3 million in March 2020 and reaching around $284.3 million by March 2025. Notable increases occur between June 2021 and September 2022, with the cost rising from approximately $129.1 million to about $204.5 million. After a slight dip in December 2022 and June 2023, the cost continues to rise significantly toward the end of the period, peaking near $284.3 million in March 2025.
Accounts payable show considerable fluctuations throughout the time frame. Starting from around $37.8 million in March 2020, it grows steadily until reaching a peak of about $83.0 million in December 2021. Subsequently, accounts payable decline to approximately $61.5 million by December 2022, followed by moderate rises and declines through 2023. From March 2024 onward, accounts payable exhibit substantial volatility with sharp increases and decreases, ultimately settling at approximately $127.3 million in March 2025. This indicates a variable payment cycle or changing credit terms with suppliers over time.
The payables turnover ratio shows cyclical fluctuations, starting from 9.92 in September 2020, dipping to a low of 6.29 in December 2020, and then rising again to a peak of 13.43 in June 2023. After this peak, the ratio demonstrates some volatility but remains mostly above 7.0, ending near 8.37 in March 2025. The fluctuating ratio suggests varying efficiency in managing payables, with periods reflecting faster payment cycles and others indicating slower turnover.
- Cost of revenue
- Shows a consistent upward trend over the five-year period, more than tripling from 2020 to 2025, with major growth phases interspersed with minor declines.
- Accounts payable
- Displays considerable variability, with initial growth followed by periods of decline and volatility, indicating irregularities or changes in payment timing and credit management.
- Payables turnover ratio
- Oscillates throughout the period, reflecting alternating periods of quicker and slower payments relative to accounts payable, with no clear linear direction.
Working Capital Turnover
Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||
Current assets | ||||||||||||||||||||||||||||
Less: Current liabilities | ||||||||||||||||||||||||||||
Working capital | ||||||||||||||||||||||||||||
Revenue | ||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Working capital turnover1 | ||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||
Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
Analog Devices Inc. | ||||||||||||||||||||||||||||
Applied Materials Inc. | ||||||||||||||||||||||||||||
Broadcom Inc. | ||||||||||||||||||||||||||||
Intel Corp. | ||||||||||||||||||||||||||||
KLA Corp. | ||||||||||||||||||||||||||||
Lam Research Corp. | ||||||||||||||||||||||||||||
Micron Technology Inc. | ||||||||||||||||||||||||||||
NVIDIA Corp. | ||||||||||||||||||||||||||||
Qualcomm Inc. | ||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 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: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Working capital turnover
= (RevenueQ1 2025
+ RevenueQ4 2024
+ RevenueQ3 2024
+ RevenueQ2 2024)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data reveals several key trends over the observed periods. Working capital demonstrates a generally upward trajectory from March 31, 2020, until it peaks by September 30, 2024. Specifically, working capital increased steadily from 592,290 thousand US dollars to a high of 1,823,862 thousand US dollars by the third quarter of 2024, before sharply declining to 1,270,486 thousand US dollars at the end of 2024 and subsequently recovering moderately by March 31, 2025.
Revenue shows an overall increasing trend with some fluctuations. Beginning at 165,778 thousand US dollars at the end of the first quarter 2020, the revenue exhibited a strong rise, with some seasonal or cyclical dips, reaching 621,665 thousand US dollars by the second quarter of 2025. The most notable fluctuations occur in late 2022 and early 2023, where revenue dips then partially recovers, indicating potential market volatility or operational challenges during those periods.
The working capital turnover ratio, which measures efficiency in using working capital to generate revenue, shows variability over the intervals it is reported. Starting at 1.21 in September 2020, the ratio increases, reaching a peak of 1.62 in December 2021, suggesting a period of improved operational efficiency or more effective use of working capital. Subsequently, a downward trend occurs through 2022 and 2023, with ratios gradually declining to approximately 1.10 by mid-2024, implying reduced efficiency in working capital usage during that time. However, this trend reverses sharply in the last two quarters shown, surging to 1.74 and 1.67, respectively, indicating significant improvement in converting working capital into sales.
In summary, working capital generally increased over the long term with a notable dip near the end of 2024, while revenue steadily rose with some volatility in late 2022 and early 2023. The working capital turnover ratio exhibited periods of both enhancement and decline, peaking towards the end of 2021, falling through 2023, and then sharply improving by the end of 2024. These patterns suggest dynamic operational conditions with phases of efficiency gains and setbacks, reflecting adjustments in working capital management and revenue generation strategies over the timeline.
- Working Capital Trends
- Overall growth with a sharp dip at the end of 2024 before moderate recovery.
- Revenue Trends
- Steady rise from 2020 to 2025 with periods of fluctuation, notably in late 2022 and early 2023.
- Working Capital Turnover Ratio
- Improved efficiency up to 2021, declined through 2022-2023, followed by sharp efficiency gains at end of 2024.
Average Inventory Processing Period
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 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | ||||||||||||||||||||||||||||
Inventory turnover | ||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||
Average inventory processing period1 | ||||||||||||||||||||||||||||
Benchmarks (no. days) | ||||||||||||||||||||||||||||
Average Inventory Processing Period, Competitors2 | ||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
Analog Devices Inc. | ||||||||||||||||||||||||||||
Applied Materials Inc. | ||||||||||||||||||||||||||||
Broadcom Inc. | ||||||||||||||||||||||||||||
Intel Corp. | ||||||||||||||||||||||||||||
KLA Corp. | ||||||||||||||||||||||||||||
Lam Research Corp. | ||||||||||||||||||||||||||||
Micron Technology Inc. | ||||||||||||||||||||||||||||
NVIDIA Corp. | ||||||||||||||||||||||||||||
Qualcomm Inc. | ||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 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: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Inventory Turnover
- The inventory turnover ratio appears from March 31, 2021, and displays a general declining trend through December 31, 2022, decreasing from 2.41 to 1.75. This indicates that the frequency with which inventory is sold and replaced diminished over this period. After this decline, there is a gradual recovery starting in March 31, 2023, reaching 2.08 by December 31, 2023. Subsequently, the ratio remains relatively stable with slight fluctuations, ending at 2.34 by March 31, 2025. This suggests an improvement in inventory management, with the company turning over its inventory more rapidly again during the latter periods.
- Average Inventory Processing Period
- The average inventory processing period, measured in days, mirrors the inverse behavior of the inventory turnover ratio, beginning at 151 days on March 31, 2021. It gradually extends, peaking at 219 days by March 31, 2023, indicating that inventory remains on hand longer before being processed or sold. Following this peak, there is a steady decrease to 184 days by December 31, 2023, and further fluctuations lead to a lowering to 155 days by March 31, 2025. This shortening of processing time corresponds with the improvement observed in the inventory turnover ratio, reflecting enhanced operational efficiency in inventory management during the latter timeframes.
- Overall Insights
- The data reveals a period of weakening inventory efficiency between early 2021 and early 2023, with inventory turnover slowing and processing times lengthening. However, from mid-2023 onward, both metrics indicate a recovery and stabilization of inventory management performance. The interplay between these two metrics reflects a business environment where inventory control challenges were present initially but were progressively addressed, resulting in better utilization of inventory assets in the most recent quarters.
Average Receivable Collection Period
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 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | ||||||||||||||||||||||||||||
Receivables turnover | ||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||
Average receivable collection period1 | ||||||||||||||||||||||||||||
Benchmarks (no. days) | ||||||||||||||||||||||||||||
Average Receivable Collection Period, Competitors2 | ||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
Analog Devices Inc. | ||||||||||||||||||||||||||||
Applied Materials Inc. | ||||||||||||||||||||||||||||
Broadcom Inc. | ||||||||||||||||||||||||||||
Intel Corp. | ||||||||||||||||||||||||||||
KLA Corp. | ||||||||||||||||||||||||||||
Lam Research Corp. | ||||||||||||||||||||||||||||
Micron Technology Inc. | ||||||||||||||||||||||||||||
NVIDIA Corp. | ||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 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: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Receivables Turnover
- The receivables turnover ratio exhibits fluctuations over the analyzed periods from March 2020 to March 2025. Initially, the ratio increases from 12.63 in March 2020 to a peak of 13.83 by December 2020, indicating a more efficient collection process during this period. Subsequently, the ratio experiences a gradual decline through 2022 and into early 2023, reaching as low as 9.82 in March 2023. After this trough, the ratio shows moderate recovery, rising again towards the end of 2024 and early 2025, peaking at 12.79 in December 2024 before a slight decrease to 11.11 in March 2025. This pattern suggests varying efficacy in accounts receivable management, with periods of both improvement and deterioration.
- Average Receivable Collection Period
- The average receivable collection period, expressed in days, presents an inverse relationship to the receivables turnover ratio as expected. Following the trends, the collection period decreases to a low of 26 days by December 2020, reflecting quicker collection times. However, from 2021 onwards, it generally increases, peaking at 39 days in June 2024, suggesting slower collection. Thereafter, the collection period reduces slightly towards the end of the period, settling at 33 days in March 2025. The increase in collection days during 2021-2024 corresponds with the earlier noted decrease in turnover, indicating a potential relaxation in credit policy or operational challenges affecting collections.
- Summary of Trends and Insights
- The data reveals a notable cyclical behavior in the management of receivables. The initial improvement phase up to late 2020 signifies robust collection efforts or perhaps stronger customer payment discipline during that period. The subsequent decline in turnover coupled with an elongation in collection days through mid-2024 may imply challenges such as customer financial stress, changes in credit terms, or operational inefficiencies. The partial recovery of turnover ratios and reduction in collection periods towards early 2025 might reflect corrective measures taken by management or improving market conditions. Overall, the variability indicates that receivables management requires ongoing attention to optimize cash flow and working capital.
Operating Cycle
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 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | ||||||||||||||||||||||||||||
Average inventory processing period | ||||||||||||||||||||||||||||
Average receivable collection period | ||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Operating cycle1 | ||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||
Operating Cycle, Competitors2 | ||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
Analog Devices Inc. | ||||||||||||||||||||||||||||
Applied Materials Inc. | ||||||||||||||||||||||||||||
Broadcom Inc. | ||||||||||||||||||||||||||||
Intel Corp. | ||||||||||||||||||||||||||||
KLA Corp. | ||||||||||||||||||||||||||||
Lam Research Corp. | ||||||||||||||||||||||||||||
Micron Technology Inc. | ||||||||||||||||||||||||||||
NVIDIA Corp. | ||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 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: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
- Average Inventory Processing Period
- The average inventory processing period shows an increasing trend from the initial available data in March 2021 onwards. Starting at 151 days, it rises to a peak of 219 days by March 2023. Following this peak, there is a gradual decline to 155 days by September 2024, before stabilizing slightly above that level towards March 2025. This indicates that the time required to process inventory lengthened considerably over the first two years but improved somewhat in the most recent periods, suggesting better inventory management or faster turnover in the latter part of the timeline.
- Average Receivable Collection Period
- The average receivable collection period fluctuates within a relatively narrow range throughout the observed periods. It begins around 29 days in March 2021, increases modestly to a maximum of 39 days by December 2023, and then declines back to approximately 29 days by September 2024. The period ends at 33 days by March 2025. This pattern indicates some variability in the efficiency of receivables collection but generally maintains a consistent cycle close to one month, reflecting relatively stable credit and collection practices.
- Operating Cycle
- The operating cycle exhibits an overall upward trend from March 2021, increasing from 180 days to a peak of 256 days in December 2022. Following this high point, the cycle duration gradually reduces to 184 days by September 2024 and then slightly rises again to 189 days by March 2025. The initial increase signals elongation in the time taken for the full cycle of inventory processing and receivable collection, suggesting slower cash conversion. The subsequent reduction implies improvements in operational efficiency, likely due to shortened inventory processing and more effective receivables management in the most recent periods.
Average Payables Payment Period
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 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | ||||||||||||||||||||||||||||
Payables turnover | ||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||
Average payables payment period1 | ||||||||||||||||||||||||||||
Benchmarks (no. days) | ||||||||||||||||||||||||||||
Average Payables Payment Period, Competitors2 | ||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
Analog Devices Inc. | ||||||||||||||||||||||||||||
Broadcom Inc. | ||||||||||||||||||||||||||||
Intel Corp. | ||||||||||||||||||||||||||||
KLA Corp. | ||||||||||||||||||||||||||||
Lam Research Corp. | ||||||||||||||||||||||||||||
NVIDIA Corp. | ||||||||||||||||||||||||||||
Qualcomm Inc. | ||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 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: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Payables Turnover Ratio Trend
- The payables turnover ratio data starts from the first quarter of 2021, showing an initial value of 9.92. Over the following quarters, there is a noticeable decline reaching a low of 6.29 by the first quarter of 2022. Subsequently, the ratio improves steadily, peaking at 13.43 in the second quarter of 2023. After this peak, the ratio exhibits some volatility, with fluctuations between approximately 7.86 and 12.71 from the third quarter of 2023 through the first quarter of 2025, ending at 8.37. The overall trend suggests a period of decreasing turnover followed by a pronounced recovery and subsequent variability.
- Average Payables Payment Period Trend
- The average payables payment period commences at 37 days in the first quarter of 2021 and increases to a peak of 58 days by the first quarter of 2022. Following this peak, there is a consistent reduction in the number of days, reaching a low of 27 days in the second quarter of 2023. This decline indicates a faster payment pace during this timeframe. After mid-2023, the payment period again lengthens, fluctuating between 29 and 46 days up to the first quarter of 2025. The payment period ends at 44 days, indicating a moderate extension relative to the prior low point.
- Relationship Between Metrics
- The inverse relationship between payables turnover ratio and average payment period is evident. Periods characterized by higher payables turnover coincide with shorter payment periods, and vice versa. For example, the rise in turnover ratio to its peak in mid-2023 corresponds with the lowest average payment period observed. Conversely, the increase in payment period in the most recent quarters accompanies a reduction in turnover ratio. This pattern aligns with standard financial behavior where quicker payables turnover reflects faster settlements.
- Summary
- The analyzed data reveals initial payment delays culminating in a peak average payment period and low turnover ratio in early 2022. Following this, improved payment efficiency is observed through mid-2023, reflected by a higher turnover ratio and reduced payment days. The subsequent periods show a moderation, with payment timelines and turnover ratio fluctuating, indicating variable payment policies or changes in operational dynamics affecting payables management. Overall, the data illustrates dynamic payable practices with phases of both extended and expedited payments.
Cash Conversion Cycle
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 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | ||||||||||||||||||||||||||||
Average inventory processing period | ||||||||||||||||||||||||||||
Average receivable collection period | ||||||||||||||||||||||||||||
Average payables payment period | ||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||
Cash conversion cycle1 | ||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||
Cash Conversion Cycle, Competitors2 | ||||||||||||||||||||||||||||
Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
Analog Devices Inc. | ||||||||||||||||||||||||||||
Broadcom Inc. | ||||||||||||||||||||||||||||
Intel Corp. | ||||||||||||||||||||||||||||
KLA Corp. | ||||||||||||||||||||||||||||
Lam Research Corp. | ||||||||||||||||||||||||||||
NVIDIA Corp. | ||||||||||||||||||||||||||||
Texas Instruments Inc. |
Based on: 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: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q1 2025 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + – =
2 Click competitor name to see calculations.
The analysis of the financial timing metrics over the reported periods reveals distinct trends in the company’s operational cycle.
- Average Inventory Processing Period
- The inventory period showed initial data starting in March 2021, with a value of 151 days. There was a general upward trend peaking around December 2022 at 219 days, indicating an increasing duration for inventory turnover. Following this peak, a decline is noticeable towards the end of the data in March 2025, where the period shortened to 156 days. This suggests improvements in inventory management or accelerated processing in the most recent periods.
- Average Receivable Collection Period
- The receivable period fluctuated moderately, starting at 29 days in March 2021 and showing periodic increases and decreases throughout the timeline. The highest recorded value was 39 days in March 2024, indicating a temporary lengthening in the collection cycle. However, the general range remained between 26 and 39 days, reflecting relative stability with minor volatility in the credit collection efficiency.
- Average Payables Payment Period
- The payable period demonstrated considerable variability over time. Beginning at 37 days in March 2021, it rose sharply to 58 days by December 2021. Subsequently, a declining trend occurred, reaching a low of 27 days in March 2023. The latter periods showed a rebound, fluctuating between approximately 30 to 46 days. This suggests the company adjusted its payment timings significantly, likely balancing between conserving cash flow and maintaining supplier relationships.
- Cash Conversion Cycle
- The cash conversion cycle, which reflects the net time duration between cash outflows and inflows, began at 143 days in March 2021. It experienced an increase to a peak of 226 days by December 2022, indicating a longer period to convert investments in inventory and receivables into cash. After this point, the cycle shortened consistently, reaching 145 days by March 2025. This downward trend implies enhanced operational efficiency and improved cash flow management in recent periods.
In summary, the company exhibited a lengthening of inventory processing and cash conversion cycles through late 2022, followed by a notable improvement in operational efficiency reflected by reduced days in these measures by early 2025. Receivables collection remained relatively steady with slight fluctuations, whereas payables payment periods were more volatile, indicating strategic cash management adjustments. Overall, the trends suggest a focus on improving liquidity and operational timing in recent quarters.