Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Short-term Activity Ratios (Summary)
Based on: 10-K (reporting date: 2024-12-31), 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31).
The operational activity ratios exhibit a distinct V-shaped trend, characterized by a decline in efficiency that peaked in 2022, followed by a consistent recovery through 2024. The overall efficiency of working capital management has returned to levels comparable to those observed in 2020.
- Inventory Management
- Inventory turnover decreased from 2.41 in 2020 to a low of 1.67 in 2022, coinciding with the average inventory processing period peaking at 219 days. However, a subsequent recovery is evident, with turnover increasing to 2.35 by 2024 and the processing period contracting to 155 days, indicating improved inventory liquidity and sales velocity.
- Receivables and Collections
- The receivables turnover experienced a gradual decline from 12.63 in 2020 to 9.82 in 2022, reflecting an extension of the average receivable collection period from 29 days to 37 days. By 2024, the turnover ratio rebounded to 12.79, and the collection period returned to its baseline of 29 days, suggesting a normalization of credit terms and collection efficiency.
- Payables and Obligations
- Payables management demonstrated significant volatility. The average payables payment period spiked to 58 days in 2021 before dropping sharply to 29 days in 2023 and moderating to 38 days in 2024. This fluctuation is mirrored in the payables turnover ratio, which shifted from a low of 6.29 in 2021 to a peak of 12.71 in 2023.
- Operating and Cash Conversion Cycles
- The operating cycle peaked at 256 days in 2022, driven by the combined slowing of inventory and receivable turnovers. This led to a corresponding peak in the cash conversion cycle at 226 days. By 2024, the operating cycle contracted to 184 days and the cash conversion cycle improved to 146 days, reflecting a significant reduction in the time required to convert resource inputs into cash flows.
- Working Capital Efficiency
- Working capital turnover remained relatively stable with a general upward trajectory, reaching a five-year high of 1.74 in 2024. This indicates an increased capacity to generate revenue relative to the investment in net working capital.
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Turnover Ratios
Average No. Days
Inventory Turnover
| Dec 31, 2024 | Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of revenue | 986,230) | 799,953) | 745,596) | 522,339) | 378,498) | |
| Inventories | 419,611) | 383,702) | 447,290) | 259,417) | 157,062) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 2.35 | 2.08 | 1.67 | 2.01 | 2.41 | |
| Benchmarks | ||||||
| Inventory Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 2.28 | 2.81 | 3.45 | 4.35 | — | |
| Analog Devices Inc. | 2.79 | 2.70 | 3.20 | 2.33 | 3.14 | |
| Applied Materials Inc. | 2.63 | 2.47 | 2.33 | 2.82 | 2.44 | |
| Broadcom Inc. | 10.83 | 5.86 | 5.77 | 8.18 | 10.34 | |
| Intel Corp. | 2.93 | 2.92 | 2.74 | 3.27 | — | |
| KLA Corp. | 1.29 | 1.47 | 1.67 | 1.76 | — | |
| Lam Research Corp. | 1.86 | 2.00 | 2.36 | 2.91 | — | |
| Marvell Technology Inc. | 3.72 | 2.74 | 3.33 | 5.52 | — | |
| Micron Technology Inc. | 2.20 | 2.02 | 2.53 | 3.85 | 2.65 | |
| NVIDIA Corp. | 3.15 | 2.25 | 3.62 | 3.44 | — | |
| Qualcomm Inc. | 2.66 | 2.47 | 2.94 | 4.42 | 3.56 | |
| Texas Instruments Inc. | 1.45 | 1.63 | 2.27 | 3.12 | — | |
| Inventory Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 2.69 | 2.47 | 2.82 | 3.52 | — | |
| Inventory Turnover, Industry | ||||||
| Information Technology | 7.87 | 7.98 | 8.63 | 10.48 | — | |
Based on: 10-K (reporting date: 2024-12-31), 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31).
1 2024 Calculation
Inventory turnover = Cost of revenue ÷ Inventories
= 986,230 ÷ 419,611 = 2.35
2 Click competitor name to see calculations.
An analysis of short-term operating activity reveals a fluctuating trend in inventory management efficiency against a backdrop of consistent growth in the cost of revenue.
- Cost of Revenue Growth
- A continuous upward trajectory is observed in the cost of revenue, which increased from US$ 378,498 thousand in 2020 to US$ 986,230 thousand in 2024. This steady rise indicates a significant expansion in the volume of goods delivered over the five-year period.
- Inventory Level Trends
- Inventories experienced a period of rapid accumulation between 2020 and 2022, rising from US$ 157,062 thousand to a peak of US$ 447,290 thousand. A correction occurred in 2023, where levels decreased to US$ 383,702 thousand, followed by a moderate increase to US$ 419,611 thousand in 2024.
- Inventory Turnover Ratio Performance
- The inventory turnover ratio demonstrates a U-shaped pattern. Efficiency declined from 2.41 in 2020 to a low of 1.67 in 2022, suggesting that inventory growth outpaced the cost of revenue during this window. However, a recovery trend is evident in the latter years, with the ratio improving to 2.08 in 2023 and reaching 2.35 in 2024, indicating a return toward the efficiency levels observed at the start of the period.
The observed patterns suggest that the company underwent a phase of significant stock accumulation leading up to 2022, followed by a period of optimization. By 2024, the alignment between inventory levels and the cost of revenue improved, resulting in a turnover ratio that nearly mirrors the 2020 baseline despite the substantially higher scale of operations.
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Receivables Turnover
| Dec 31, 2024 | Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Revenue | 2,207,100) | 1,821,072) | 1,794,148) | 1,207,798) | 844,452) | |
| Accounts receivable, net | 172,518) | 179,858) | 182,714) | 104,813) | 66,843) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 12.79 | 10.13 | 9.82 | 11.52 | 12.63 | |
| Benchmarks | ||||||
| Receivables Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 4.16 | 5.25 | 5.72 | 6.07 | — | |
| Analog Devices Inc. | 7.05 | 8.37 | 6.67 | 5.02 | 7.60 | |
| Applied Materials Inc. | 5.19 | 5.13 | 4.25 | 4.66 | 5.81 | |
| Broadcom Inc. | 11.68 | 11.36 | 11.22 | 13.25 | 10.40 | |
| Intel Corp. | 15.27 | 15.94 | 15.26 | 8.36 | — | |
| KLA Corp. | 5.35 | 5.99 | 5.08 | 5.30 | — | |
| Lam Research Corp. | 5.92 | 6.17 | 3.99 | 4.83 | — | |
| Marvell Technology Inc. | 4.91 | 4.97 | 4.26 | 5.53 | — | |
| Micron Technology Inc. | 4.63 | 7.59 | 6.45 | 5.63 | 6.13 | |
| NVIDIA Corp. | 6.09 | 7.05 | 5.79 | 6.86 | — | |
| Qualcomm Inc. | 16.60 | 18.63 | 10.59 | 15.16 | 8.76 | |
| Texas Instruments Inc. | 9.10 | 9.80 | 10.57 | 10.78 | — | |
| Receivables Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 7.41 | 8.56 | 7.44 | 7.45 | — | |
| Receivables Turnover, Industry | ||||||
| Information Technology | 6.95 | 7.42 | 7.39 | 7.51 | — | |
Based on: 10-K (reporting date: 2024-12-31), 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31).
1 2024 Calculation
Receivables turnover = Revenue ÷ Accounts receivable, net
= 2,207,100 ÷ 172,518 = 12.79
2 Click competitor name to see calculations.
The financial data indicates a period of significant revenue expansion accompanied by fluctuating efficiency in receivables management between 2020 and 2024. While revenue grew consistently throughout the five-year period, the receivables turnover ratio exhibited a U-shaped trend, declining initially before recovering to its highest level by the end of the period.
- Revenue Growth Patterns
- Revenue demonstrated a strong upward trajectory, increasing from $844.5 million in 2020 to $2.21 billion in 2024. The most aggressive growth phase occurred between 2020 and 2022, followed by a period of relative stability in 2023 and a subsequent acceleration in 2024.
- Accounts Receivable Dynamics
- Net accounts receivable grew substantially from $66.8 million in 2020 to a peak of $182.7 million in 2022. This growth trend reversed after 2022, with receivables declining to $172.5 million by 2024, despite the continuing increase in overall revenue.
- Receivables Turnover Efficiency
- The receivables turnover ratio declined from 12.63 in 2020 to a low of 9.82 in 2022, suggesting that the growth in credit sales outpaced the company's collection capabilities during that window. A recovery began in 2023, and by 2024, the ratio reached 12.79. This improvement indicates a heightened efficiency in collecting outstanding balances and a more optimized cash conversion cycle relative to sales volume.
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Payables Turnover
| Dec 31, 2024 | Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of revenue | 986,230) | 799,953) | 745,596) | 522,339) | 378,498) | |
| Accounts payable | 102,526) | 62,958) | 61,461) | 83,027) | 38,169) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 9.62 | 12.71 | 12.13 | 6.29 | 9.92 | |
| Benchmarks | ||||||
| Payables Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 5.30 | 5.05 | 4.40 | 6.05 | — | |
| Analog Devices Inc. | 8.30 | 8.98 | 7.70 | 6.30 | 8.42 | |
| Applied Materials Inc. | 9.09 | 9.56 | 7.86 | 8.25 | 8.46 | |
| Broadcom Inc. | 11.47 | 9.20 | 11.13 | 9.77 | 12.41 | |
| Intel Corp. | 2.85 | 3.79 | 3.77 | 6.13 | — | |
| KLA Corp. | 10.93 | 11.37 | 8.10 | 8.10 | — | |
| Lam Research Corp. | 12.79 | 20.50 | 9.25 | 9.43 | — | |
| Marvell Technology Inc. | 7.81 | 6.29 | 5.20 | 5.87 | — | |
| Micron Technology Inc. | 7.15 | 9.83 | 7.87 | 9.91 | 6.79 | |
| NVIDIA Corp. | 6.16 | 9.74 | 5.29 | 5.23 | — | |
| Qualcomm Inc. | 6.60 | 8.30 | 4.91 | 5.19 | 4.12 | |
| Texas Instruments Inc. | 7.98 | 8.10 | 7.35 | 10.45 | — | |
| Payables Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 5.56 | 6.73 | 5.50 | 7.01 | — | |
| Payables Turnover, Industry | ||||||
| Information Technology | 4.25 | 4.77 | 4.24 | 4.63 | — | |
Based on: 10-K (reporting date: 2024-12-31), 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31).
1 2024 Calculation
Payables turnover = Cost of revenue ÷ Accounts payable
= 986,230 ÷ 102,526 = 9.62
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a consistent expansion in operational scale, as evidenced by the steady increase in cost of revenue from 378,498 thousand US dollars in 2020 to 986,230 thousand US dollars in 2024. This upward trajectory indicates a significant growth in the volume of business activities over the five-year period.
- Accounts Payable Trends
- Accounts payable exhibited a non-linear growth pattern, starting at 38,169 thousand US dollars in 2020 and reaching 102,526 thousand US dollars by 2024. While there was a notable increase in 2021, a contraction occurred in 2022 and 2023 before a sharp rise in the final year of the period.
- Payables Turnover Ratio Analysis
- The payables turnover ratio demonstrated significant volatility. A decline to 6.29 in 2021 suggests a deceleration in the rate of supplier payments or an increase in the utilization of trade credit. This was followed by a sharp reversal in 2022 and 2023, where the ratio climbed to 12.13 and 12.71 respectively, indicating a more aggressive settlement of obligations. By 2024, the ratio moderated to 9.62.
- Operational Implications
- The fluctuation in the turnover ratio suggests shifting strategies in working capital management. The peak in turnover during 2022 and 2023 indicates a period of rapid payment cycles, whereas the decrease in 2024, paired with the highest recorded accounts payable balance, suggests a strategic extension of payment terms or a surge in procurement activity relative to payment velocity.
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Working Capital Turnover
| Dec 31, 2024 | Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Current assets | 1,565,053) | 1,819,499) | 1,410,619) | 1,124,852) | 841,998) | |
| Less: Current liabilities | 294,567) | 235,035) | 263,400) | 226,944) | 146,969) | |
| Working capital | 1,270,486) | 1,584,464) | 1,147,219) | 897,908) | 695,029) | |
| Revenue | 2,207,100) | 1,821,072) | 1,794,148) | 1,207,798) | 844,452) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | 1.74 | 1.15 | 1.56 | 1.35 | 1.21 | |
| Benchmarks | ||||||
| Working Capital Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 2.19 | 2.25 | 2.73 | 3.78 | — | |
| Analog Devices Inc. | 3.78 | 10.40 | 4.81 | 2.81 | 4.86 | |
| Applied Materials Inc. | 2.13 | 2.25 | 3.02 | 2.36 | 1.93 | |
| Broadcom Inc. | 17.80 | 2.66 | 2.90 | 2.66 | 4.32 | |
| Intel Corp. | 4.55 | 3.56 | 3.45 | 2.61 | — | |
| KLA Corp. | 1.83 | 2.27 | 2.14 | 1.93 | — | |
| Lam Research Corp. | 1.74 | 1.93 | 2.23 | 1.80 | — | |
| Marvell Technology Inc. | 4.41 | 6.62 | 4.04 | 5.50 | — | |
| Micron Technology Inc. | 1.66 | 0.94 | 2.16 | 2.05 | 1.89 | |
| NVIDIA Corp. | 1.81 | 1.63 | 1.10 | 1.37 | — | |
| Qualcomm Inc. | 2.65 | 2.79 | 4.99 | 4.13 | 2.39 | |
| Texas Instruments Inc. | 1.37 | 1.48 | 1.81 | 1.65 | — | |
| Working Capital Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 2.57 | 2.27 | 2.56 | 2.40 | — | |
| Working Capital Turnover, Industry | ||||||
| Information Technology | 8.80 | 5.74 | 6.38 | 4.29 | — | |
Based on: 10-K (reporting date: 2024-12-31), 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31).
1 2024 Calculation
Working capital turnover = Revenue ÷ Working capital
= 2,207,100 ÷ 1,270,486 = 1.74
2 Click competitor name to see calculations.
An analysis of short-term operating activity between 2020 and 2024 reveals a fluctuating but generally improving trend in working capital efficiency. While revenue grew consistently throughout the period, the effectiveness of working capital utilization experienced a notable dip before reaching a period high in the final year.
- Revenue and Working Capital Growth
- Revenue exhibited a steady upward trajectory, rising from 844,452 thousand USD in 2020 to 2,207,100 thousand USD by 2024. During the same period, working capital grew consistently from 695,029 thousand USD in 2020 to a peak of 1,584,464 thousand USD in 2023, before contracting to 1,270,486 thousand USD in 2024.
- Working Capital Turnover Trends
- The working capital turnover ratio improved from 1.21 in 2020 to 1.56 in 2022, indicating an increasing ability to generate sales from the company's net current assets. A reversal occurred in 2023, where the ratio declined to 1.15. This decrease is attributable to a significant expansion in working capital that far exceeded the modest revenue growth recorded during that fiscal year.
- Efficiency Recovery in 2024
- A substantial increase in operational efficiency is observed in 2024, with the turnover ratio rising to 1.74. This peak was driven by the combination of continued revenue growth and a reduction in the total working capital required to support those operations, suggesting an optimization of current assets and liabilities.
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Average Inventory Processing Period
Monolithic Power Systems Inc., average inventory processing period calculation, comparison to benchmarks
| Dec 31, 2024 | Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Inventory turnover | 2.35 | 2.08 | 1.67 | 2.01 | 2.41 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 155 | 175 | 219 | 181 | 151 | |
| Benchmarks (no. days) | ||||||
| Average Inventory Processing Period, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 160 | 130 | 106 | 84 | — | |
| Analog Devices Inc. | 131 | 135 | 114 | 157 | 116 | |
| Applied Materials Inc. | 139 | 148 | 157 | 129 | 150 | |
| Broadcom Inc. | 34 | 62 | 63 | 45 | 35 | |
| Intel Corp. | 125 | 125 | 133 | 112 | — | |
| KLA Corp. | 282 | 249 | 218 | 207 | — | |
| Lam Research Corp. | 196 | 182 | 155 | 126 | — | |
| Marvell Technology Inc. | 98 | 133 | 110 | 66 | — | |
| Micron Technology Inc. | 166 | 181 | 144 | 95 | 138 | |
| NVIDIA Corp. | 116 | 162 | 101 | 106 | — | |
| Qualcomm Inc. | 137 | 148 | 124 | 83 | 102 | |
| Texas Instruments Inc. | 252 | 225 | 161 | 117 | — | |
| Average Inventory Processing Period, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 136 | 148 | 129 | 104 | — | |
| Average Inventory Processing Period, Industry | ||||||
| Information Technology | 46 | 46 | 42 | 35 | — | |
Based on: 10-K (reporting date: 2024-12-31), 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31).
1 2024 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.35 = 155
2 Click competitor name to see calculations.
The analysis of inventory activity ratios reveals a cyclical trend in operational efficiency, characterized by a period of decline in inventory throughput between 2020 and 2022, followed by a consistent recovery and return to baseline efficiency levels by the end of 2024.
- Inventory Turnover Trend
- A downward trajectory in inventory turnover was observed from 2020 to 2022, with the ratio decreasing from 2.41 to a low of 1.67. This indicates a slowing rate of inventory replacement during this interval. However, a reversal occurred in 2023, with the ratio rising to 2.08 and further increasing to 2.35 by December 31, 2024, suggesting a significant improvement in the speed of inventory movement and sales efficiency.
- Average Inventory Processing Period
- The average inventory processing period mirrors the turnover trend inversely. The period extended from 151 days in 2020 to a peak of 219 days in 2022, representing a substantial increase in the time required to convert inventory into sales. Since 2022, there has been a marked contraction in this timeframe, dropping to 175 days in 2023 and further to 155 days in 2024. This reduction indicates a more streamlined inventory cycle and improved liquidity management.
- Operational Correlation
- The inverse relationship between the inventory turnover ratio and the processing period remains consistent across the five-year period. The peak in processing time in 2022 coincides exactly with the lowest turnover ratio, highlighting a period of relative inefficiency. The subsequent recovery through 2024 demonstrates a return to operational benchmarks similar to those established in 2020, indicating a restoration of inventory management effectiveness.
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Average Receivable Collection Period
Monolithic Power Systems Inc., average receivable collection period calculation, comparison to benchmarks
| Dec 31, 2024 | Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Receivables turnover | 12.79 | 10.13 | 9.82 | 11.52 | 12.63 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 29 | 36 | 37 | 32 | 29 | |
| Benchmarks (no. days) | ||||||
| Average Receivable Collection Period, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 88 | 70 | 64 | 60 | — | |
| Analog Devices Inc. | 52 | 44 | 55 | 73 | 48 | |
| Applied Materials Inc. | 70 | 71 | 86 | 78 | 63 | |
| Broadcom Inc. | 31 | 32 | 33 | 28 | 35 | |
| Intel Corp. | 24 | 23 | 24 | 44 | — | |
| KLA Corp. | 68 | 61 | 72 | 69 | — | |
| Lam Research Corp. | 62 | 59 | 91 | 76 | — | |
| Marvell Technology Inc. | 74 | 74 | 86 | 66 | — | |
| Micron Technology Inc. | 79 | 48 | 57 | 65 | 59 | |
| NVIDIA Corp. | 60 | 52 | 63 | 53 | — | |
| Qualcomm Inc. | 22 | 20 | 34 | 24 | 42 | |
| Texas Instruments Inc. | 40 | 37 | 35 | 34 | — | |
| Average Receivable Collection Period, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 49 | 43 | 49 | 49 | — | |
| Average Receivable Collection Period, Industry | ||||||
| Information Technology | 53 | 49 | 49 | 49 | — | |
Based on: 10-K (reporting date: 2024-12-31), 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31).
1 2024 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 12.79 = 29
2 Click competitor name to see calculations.
An analysis of the short-term operating activity indicates a cyclical trend in the efficiency of receivable management between 2020 and 2024. After a period of gradual decline in collection efficiency that peaked in 2022, a significant recovery occurred, resulting in 2024 performance levels that slightly exceeded the 2020 baseline.
- Average Receivable Collection Period
- The collection period experienced a steady increase from 29 days in 2020 to a maximum of 37 days in 2022, suggesting a slowing in the conversion of credit sales to cash. This trend reversed after 2022, with the period decreasing to 36 days in 2023 and returning to 29 days by the end of 2024, reflecting a return to optimal collection speed.
- Receivables Turnover
- The turnover ratio followed an inverse trajectory to the collection period, declining from 12.63 in 2020 to a low of 9.82 in 2022. This downward trend indicates a reduction in the frequency with which receivables were cleared during that interval. A subsequent upward trend is observed, with the ratio rising to 10.13 in 2023 and reaching a five-year peak of 12.79 in 2024, signaling improved operational efficiency in managing outstanding customer accounts.
The convergence of the receivables turnover and the collection period back to 2020 levels by the end of 2024 suggests a successful stabilization of credit policies and an effective acceleration of cash inflows from customers.
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Operating Cycle
| Dec 31, 2024 | Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 155 | 175 | 219 | 181 | 151 | |
| Average receivable collection period | 29 | 36 | 37 | 32 | 29 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 184 | 211 | 256 | 213 | 180 | |
| Benchmarks | ||||||
| Operating Cycle, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 248 | 200 | 170 | 144 | — | |
| Analog Devices Inc. | 183 | 179 | 169 | 230 | 164 | |
| Applied Materials Inc. | 209 | 219 | 243 | 207 | 213 | |
| Broadcom Inc. | 65 | 94 | 96 | 73 | 70 | |
| Intel Corp. | 149 | 148 | 157 | 156 | — | |
| KLA Corp. | 350 | 310 | 290 | 276 | — | |
| Lam Research Corp. | 258 | 241 | 246 | 202 | — | |
| Marvell Technology Inc. | 172 | 207 | 196 | 132 | — | |
| Micron Technology Inc. | 245 | 229 | 201 | 160 | 197 | |
| NVIDIA Corp. | 176 | 214 | 164 | 159 | — | |
| Qualcomm Inc. | 159 | 168 | 158 | 107 | 144 | |
| Texas Instruments Inc. | 292 | 262 | 196 | 151 | — | |
| Operating Cycle, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 185 | 191 | 178 | 153 | — | |
| Operating Cycle, Industry | ||||||
| Information Technology | 99 | 95 | 91 | 84 | — | |
Based on: 10-K (reporting date: 2024-12-31), 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31).
1 2024 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 155 + 29 = 184
2 Click competitor name to see calculations.
The operating cycle exhibited a period of expansion followed by a contraction over the five-year interval ending December 31, 2024. The total duration peaked in 2022 before returning to levels nearly identical to those observed at the start of the period.
- Average Inventory Processing Period
- A distinct upward trend was observed from 2020 to 2022, with the processing period increasing from 151 days to a peak of 219 days. This suggests a significant slowdown in inventory turnover during this timeframe. Following the 2022 peak, a consistent downward trend occurred, with the period decreasing to 175 days in 2023 and further to 155 days in 2024, signaling a return to previous efficiency levels.
- Average Receivable Collection Period
- The collection period remained relatively stable throughout the analyzed period. A slight increase was noted between 2020 and 2022, moving from 29 days to 37 days. This was followed by a gradual decline, returning to 29 days by December 31, 2024. The limited fluctuation suggests that the management of accounts receivable remained consistent and had a minimal impact on the overall volatility of the operating cycle.
- Operating Cycle
- The operating cycle expanded from 180 days in 2020 to a maximum of 256 days in 2022, before contracting to 184 days by the end of 2024. Analysis indicates that the fluctuations in the total operating cycle were primarily driven by changes in the average inventory processing period rather than the receivable collection period. The reduction of the cycle by 72 days between 2022 and 2024 is almost entirely attributable to improved inventory turnover.
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Average Payables Payment Period
Monolithic Power Systems Inc., average payables payment period calculation, comparison to benchmarks
| Dec 31, 2024 | Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Payables turnover | 9.62 | 12.71 | 12.13 | 6.29 | 9.92 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 38 | 29 | 30 | 58 | 37 | |
| Benchmarks (no. days) | ||||||
| Average Payables Payment Period, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 69 | 72 | 83 | 60 | — | |
| Analog Devices Inc. | 44 | 41 | 47 | 58 | 43 | |
| Applied Materials Inc. | 40 | 38 | 46 | 44 | 43 | |
| Broadcom Inc. | 32 | 40 | 33 | 37 | 29 | |
| Intel Corp. | 128 | 96 | 97 | 60 | — | |
| KLA Corp. | 33 | 32 | 45 | 45 | — | |
| Lam Research Corp. | 29 | 18 | 39 | 39 | — | |
| Marvell Technology Inc. | 47 | 58 | 70 | 62 | — | |
| Micron Technology Inc. | 51 | 37 | 46 | 37 | 54 | |
| NVIDIA Corp. | 59 | 37 | 69 | 70 | — | |
| Qualcomm Inc. | 55 | 44 | 74 | 70 | 89 | |
| Texas Instruments Inc. | 46 | 45 | 50 | 35 | — | |
| Average Payables Payment Period, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 66 | 54 | 66 | 52 | — | |
| Average Payables Payment Period, Industry | ||||||
| Information Technology | 86 | 76 | 86 | 79 | — | |
Based on: 10-K (reporting date: 2024-12-31), 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31).
1 2024 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 9.62 = 38
2 Click competitor name to see calculations.
An analysis of the operating activity ratios indicates a fluctuating pattern in the management of accounts payable over the five-year period ending December 31, 2024. The inverse relationship between payables turnover and the average payment period suggests strategic shifts in working capital management or variations in supplier credit terms.
- Payables Turnover
- The turnover ratio exhibited significant volatility, declining from 9.92 in 2020 to a low of 6.29 in 2021. This was followed by a sharp increase, peaking at 12.71 in 2023, before moderating to 9.62 by the end of 2024. The peak observed between 2022 and 2023 reflects a period of heightened frequency in the settlement of supplier obligations.
- Average Payables Payment Period
- The duration required to settle payables saw a substantial increase in 2021, reaching a maximum of 58 days. This period of extended payment was followed by a rapid contraction, with the period dropping to 30 days in 2022 and 29 days in 2023. By December 31, 2024, the payment period extended to 38 days, effectively returning to the baseline level of 37 days recorded in 2020. This trend indicates a transition from an aggressive extension of payment terms in 2021 to a phase of accelerated settlement, concluding with a normalization of the payment cycle.
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Cash Conversion Cycle
| Dec 31, 2024 | Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 155 | 175 | 219 | 181 | 151 | |
| Average receivable collection period | 29 | 36 | 37 | 32 | 29 | |
| Average payables payment period | 38 | 29 | 30 | 58 | 37 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | 146 | 182 | 226 | 155 | 143 | |
| Benchmarks | ||||||
| Cash Conversion Cycle, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 179 | 128 | 87 | 84 | — | |
| Analog Devices Inc. | 139 | 138 | 122 | 172 | 121 | |
| Applied Materials Inc. | 169 | 181 | 197 | 163 | 170 | |
| Broadcom Inc. | 33 | 54 | 63 | 36 | 41 | |
| Intel Corp. | 21 | 52 | 60 | 96 | — | |
| KLA Corp. | 317 | 278 | 245 | 231 | — | |
| Lam Research Corp. | 229 | 223 | 207 | 163 | — | |
| Marvell Technology Inc. | 125 | 149 | 126 | 70 | — | |
| Micron Technology Inc. | 194 | 192 | 155 | 123 | 143 | |
| NVIDIA Corp. | 117 | 177 | 95 | 89 | — | |
| Qualcomm Inc. | 104 | 124 | 84 | 37 | 55 | |
| Texas Instruments Inc. | 246 | 217 | 146 | 116 | — | |
| Cash Conversion Cycle, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 119 | 137 | 112 | 101 | — | |
| Cash Conversion Cycle, Industry | ||||||
| Information Technology | 13 | 19 | 5 | 5 | — | |
Based on: 10-K (reporting date: 2024-12-31), 10-K (reporting date: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31).
1 2024 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 155 + 29 – 38 = 146
2 Click competitor name to see calculations.
The cash conversion cycle experienced significant volatility between 2020 and 2024, characterized by a substantial expansion that peaked in 2022 before returning to near-baseline levels. The cycle lengthened from 143 days in 2020 to a peak of 226 days in 2022, representing a marked increase in the time required to convert resource inputs into cash flows. By the end of 2024, the cycle contracted to 146 days, indicating a restoration of operating efficiency comparable to 2020 levels.
- Average Inventory Processing Period
- Inventory management served as the primary driver of the cash conversion cycle's fluctuations. A steady increase was observed from 151 days in 2020 to 219 days in 2022, suggesting a period of inventory accumulation or slower turnover. Following this peak, a corrective trend emerged, with the period decreasing to 175 days in 2023 and further to 155 days in 2024, reflecting improved inventory throughput.
- Average Receivable Collection Period
- The collection of receivables remained relatively stable throughout the five-year period. A modest increase occurred between 2020 and 2022, moving from 29 days to 37 days. This upward trend reversed in the subsequent two years, with the collection period returning to 29 days by the end of 2024, demonstrating consistent efficiency in credit recovery.
- Average Payables Payment Period
- Payment behavior toward suppliers exhibited inconsistency. A significant spike to 58 days occurred in 2021, which provided a temporary offset to the lengthening inventory period. However, the payment period dropped sharply to 30 days in 2022 and remained low at 29 days in 2023, before recovering slightly to 38 days in 2024. The contraction in the payables period during 2022 contributed to the overall peak in the cash conversion cycle during that year.
Overall, the trend indicates a cyclical movement in operational efficiency. The peak in the cash conversion cycle in 2022 was the result of a simultaneous increase in inventory holdings and a decrease in the time allowed for payables payments. The subsequent normalization by 2024 suggests a successful realignment of inventory levels and a return to historical norms in receivable and payable management.
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