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)
Turnover Ratios
Average No. Days
Based on: 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 20-F (reporting date: 2018-12-31), 20-F (reporting date: 2017-12-31).
Operational efficiency has shown a general trend of improvement over the analyzed five-year period, characterized by a significant reduction in the time required to convert resources into cash. The overall shortening of the operating cycle indicates a more streamlined approach to managing short-term assets and liabilities.
- Inventory Management
- Inventory turnover experienced a notable increase, rising from 3.75 in 2017 to 4.20 in 2021. This improvement is reflected in the average inventory processing period, which decreased from a peak of 102 days in 2018 and 2019 to 87 days by the end of 2021, suggesting more efficient stock movement and reduced holding times.
- Receivables Management
- The receivables turnover remained relatively stable, peaking at 13.31 in 2019 before settling at 11.99 in 2021. The average receivable collection period fluctuated within a narrow range between 27 and 35 days, indicating a consistent and effective policy for collecting outstanding payments from customers.
- Payables Management
- Payables turnover showed a slight downward trend toward the end of the period, moving from 4.05 in 2017 to 3.99 in 2021. Correspondingly, the average payables payment period extended from 90 days in 2017 to 91 days in 2021, after having dipped to 80 days in 2018. This indicates an increased ability to leverage supplier credit to fund operations.
- Operating and Cash Conversion Cycles
- The operating cycle exhibits a steady decline, moving from 132 days in 2017 to 117 days in 2021. The most significant improvement is observed in the cash conversion cycle, which dropped from 42 days in 2017 to 26 days in 2021. This compression is the result of combined improvements in inventory turnover and the strategic extension of the payables payment period.
Working capital turnover demonstrated significant volatility, reaching a peak of 6.01 in 2019 before moderating to 3.99 in 2021. Despite this fluctuation, the overall trajectory of the activity ratios points toward an enhanced capacity to generate revenue relative to the investment in working capital.
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Inventory Turnover
| Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||
| Cost of revenue | 4,996) | 4,377) | 4,259) | 4,556) | 4,637) | |
| Inventories, net | 1,189) | 1,030) | 1,192) | 1,279) | 1,236) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 4.20 | 4.25 | 3.57 | 3.56 | 3.75 | |
| Benchmarks | ||||||
| Inventory Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 4.35 | — | — | — | — | |
| Analog Devices Inc. | 2.33 | 3.14 | — | — | — | |
| Applied Materials Inc. | 2.82 | 2.44 | — | — | — | |
| Broadcom Inc. | 8.18 | 10.34 | — | — | — | |
| Intel Corp. | 3.27 | — | — | — | — | |
| KLA Corp. | 1.76 | — | — | — | — | |
| Lam Research Corp. | 2.91 | — | — | — | — | |
| Marvell Technology Inc. | 5.52 | — | — | — | — | |
| Micron Technology Inc. | 3.85 | — | — | — | — | |
| NVIDIA Corp. | 3.44 | — | — | — | — | |
| Qualcomm Inc. | 4.42 | 3.56 | — | — | — | |
| Texas Instruments Inc. | 3.12 | — | — | — | — | |
| Inventory Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 3.52 | — | — | — | — | |
| Inventory Turnover, Industry | ||||||
| Information Technology | 10.48 | — | — | — | — | |
Based on: 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 20-F (reporting date: 2018-12-31), 20-F (reporting date: 2017-12-31).
1 2021 Calculation
Inventory turnover = Cost of revenue ÷ Inventories, net
= 4,996 ÷ 1,189 = 4.20
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a transition from a period of relative stability to improved inventory efficiency between 2017 and 2021. An overall upward trajectory in the inventory turnover ratio is observed toward the end of the period, indicating a more effective conversion of inventory into cost of goods sold.
- Cost of Revenue Trends
- Cost of revenue experienced a moderate decline between 2017 and 2019, moving from 4,637 million to 4,259 million. This trend reversed in 2020 and accelerated in 2021, reaching a peak of 4,996 million, suggesting an expansion in operational scale or an increase in the volume of goods sold.
- Inventory Level Fluctuations
- Net inventories exhibited volatility over the five-year period. After a slight increase in 2018 to 1,279 million, inventory levels decreased steadily to a period low of 1,030 million in 2020. A subsequent increase to 1,189 million was recorded in 2021, aligning with the growth observed in the cost of revenue.
- Inventory Turnover Efficiency
- The inventory turnover ratio initially declined from 3.75 in 2017 to 3.56 in 2018, remaining relatively stagnant through 2019. A significant improvement occurred in 2020, where the ratio rose to 4.25, primarily driven by the reduction in average inventory holdings relative to the cost of revenue. This heightened efficiency was largely maintained in 2021, with a ratio of 4.20, demonstrating that the increase in inventory levels was well-supported by the growth in revenue costs.
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Receivables Turnover
| Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||
| Revenue | 11,063) | 8,612) | 8,877) | 9,407) | 9,256) | |
| Accounts receivables, net | 923) | 765) | 667) | 792) | 879) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 11.99 | 11.26 | 13.31 | 11.88 | 10.53 | |
| Benchmarks | ||||||
| Receivables Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 6.07 | — | — | — | — | |
| Analog Devices Inc. | 5.02 | 7.60 | — | — | — | |
| Applied Materials Inc. | 4.66 | 5.81 | — | — | — | |
| Broadcom Inc. | 13.25 | 10.40 | — | — | — | |
| Intel Corp. | 8.36 | — | — | — | — | |
| KLA Corp. | 5.30 | — | — | — | — | |
| Lam Research Corp. | 4.83 | — | — | — | — | |
| Marvell Technology Inc. | 5.53 | — | — | — | — | |
| Micron Technology Inc. | 5.63 | — | — | — | — | |
| NVIDIA Corp. | 6.86 | — | — | — | — | |
| Qualcomm Inc. | 15.16 | 8.76 | — | — | — | |
| Texas Instruments Inc. | 10.78 | — | — | — | — | |
| Receivables Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 7.45 | — | — | — | — | |
| Receivables Turnover, Industry | ||||||
| Information Technology | 7.51 | — | — | — | — | |
Based on: 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 20-F (reporting date: 2018-12-31), 20-F (reporting date: 2017-12-31).
1 2021 Calculation
Receivables turnover = Revenue ÷ Accounts receivables, net
= 11,063 ÷ 923 = 11.99
2 Click competitor name to see calculations.
The analysis of receivables turnover from 2017 to 2021 reveals a period of fluctuating efficiency in credit management and collection processes. The turnover ratio remained relatively high throughout the period, indicating a consistent ability to convert accounts receivable into cash.
- Collection Efficiency Trends (2017–2019)
- A progressive increase in the receivables turnover ratio is observed during the first three years, rising from 10.53 in 2017 to a peak of 13.31 in 2019. This upward trend occurred despite a slight decline in revenue between 2018 and 2019, suggesting that the improvement was driven by a significant reduction in net accounts receivables, which fell from 879 million USD to 667 million USD over this period.
- Operational Shift (2020)
- A contraction in turnover efficiency occurred in 2020, with the ratio dropping to 11.26. This decline is attributable to a simultaneous decrease in revenue to 8,612 million USD and an increase in net accounts receivables to 765 million USD, indicating a slowing of the collection cycle or a loosening of credit terms during this fiscal year.
- Revenue Surge and Recovery (2021)
- In 2021, the receivables turnover ratio recovered to 11.99. This improvement coincided with a substantial increase in revenue, which reached 11,063 million USD. Although net accounts receivables also reached a five-year high of 923 million USD, the growth in top-line revenue outpaced the growth in receivables, thereby restoring the efficiency of the turnover cycle.
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Payables Turnover
| Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||
| Cost of revenue | 4,996) | 4,377) | 4,259) | 4,556) | 4,637) | |
| Accounts payable | 1,252) | 991) | 944) | 999) | 1,146) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 3.99 | 4.42 | 4.51 | 4.56 | 4.05 | |
| Benchmarks | ||||||
| Payables Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 6.05 | — | — | — | — | |
| Analog Devices Inc. | 6.30 | 8.42 | — | — | — | |
| Applied Materials Inc. | 8.25 | 8.46 | — | — | — | |
| Broadcom Inc. | 9.77 | 12.41 | — | — | — | |
| Intel Corp. | 6.13 | — | — | — | — | |
| KLA Corp. | 8.10 | — | — | — | — | |
| Lam Research Corp. | 9.43 | — | — | — | — | |
| Marvell Technology Inc. | 5.87 | — | — | — | — | |
| Micron Technology Inc. | 9.91 | — | — | — | — | |
| NVIDIA Corp. | 5.23 | — | — | — | — | |
| Qualcomm Inc. | 5.19 | 4.12 | — | — | — | |
| Texas Instruments Inc. | 10.45 | — | — | — | — | |
| Payables Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 7.01 | — | — | — | — | |
| Payables Turnover, Industry | ||||||
| Information Technology | 4.63 | — | — | — | — | |
Based on: 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 20-F (reporting date: 2018-12-31), 20-F (reporting date: 2017-12-31).
1 2021 Calculation
Payables turnover = Cost of revenue ÷ Accounts payable
= 4,996 ÷ 1,252 = 3.99
2 Click competitor name to see calculations.
The analysis of operating activity from 2017 to 2021 reveals a fluctuating pattern in supplier payment efficiency. While the payables turnover ratio remained relatively stable for a three-year period, a notable shift occurred in the final year of the sequence, indicating a change in the management of short-term obligations.
- Cost of Revenue and Accounts Payable Trends
- Cost of revenue exhibited a gradual decline from US$ 4,637 million in 2017 to a low of US$ 4,259 million in 2019, before trending upward to a five-year peak of US$ 4,996 million in 2021. In parallel, accounts payable decreased from US$ 1,146 million in 2017 to US$ 944 million in 2019, followed by a sharp increase to US$ 1,252 million by the end of 2021.
- Payables Turnover Ratio Analysis
- The payables turnover ratio increased from 4.05 in 2017 to 4.56 in 2018, suggesting a more rapid settlement of supplier obligations. This efficiency level was largely maintained through 2020, with the ratio remaining within a narrow range between 4.42 and 4.56. However, in 2021, the ratio declined to 3.99, marking the lowest turnover rate in the observed period.
- Operational Implications
- The decline in the turnover ratio in 2021 coincides with a substantial increase in the absolute value of accounts payable. This indicates a slowdown in the rate at which supplier obligations are settled. Such a trend suggests a strategic extension of payment terms or an increase in procurement volume that has outpaced the payment cycle, effectively increasing the use of supplier credit to fund operations.
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Working Capital Turnover
| Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||
| Current assets | 5,228) | 4,324) | 3,267) | 5,225) | 6,044) | |
| Less: Current liabilities | 2,452) | 2,017) | 1,791) | 3,385) | 2,718) | |
| Working capital | 2,776) | 2,307) | 1,476) | 1,840) | 3,326) | |
| Revenue | 11,063) | 8,612) | 8,877) | 9,407) | 9,256) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | 3.99 | 3.73 | 6.01 | 5.11 | 2.78 | |
| Benchmarks | ||||||
| Working Capital Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 3.78 | — | — | — | — | |
| Analog Devices Inc. | 2.81 | 4.86 | — | — | — | |
| Applied Materials Inc. | 2.36 | 1.93 | — | — | — | |
| Broadcom Inc. | 2.66 | 4.32 | — | — | — | |
| Intel Corp. | 2.61 | — | — | — | — | |
| KLA Corp. | 1.93 | — | — | — | — | |
| Lam Research Corp. | 1.80 | — | — | — | — | |
| Marvell Technology Inc. | 5.50 | — | — | — | — | |
| Micron Technology Inc. | 2.05 | — | — | — | — | |
| NVIDIA Corp. | 1.37 | — | — | — | — | |
| Qualcomm Inc. | 4.13 | 2.39 | — | — | — | |
| Texas Instruments Inc. | 1.65 | — | — | — | — | |
| Working Capital Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 2.40 | — | — | — | — | |
| Working Capital Turnover, Industry | ||||||
| Information Technology | 4.29 | — | — | — | — | |
Based on: 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 20-F (reporting date: 2018-12-31), 20-F (reporting date: 2017-12-31).
1 2021 Calculation
Working capital turnover = Revenue ÷ Working capital
= 11,063 ÷ 2,776 = 3.99
2 Click competitor name to see calculations.
The analysis of working capital turnover from 2017 to 2021 reveals a period of significant fluctuation in operational efficiency and asset utilization. The turnover ratio experienced a sharp ascent in the first three years of the period, followed by a correction and subsequent stabilization.
- Working Capital Trends
- A notable contraction in working capital occurred between 2017 and 2019, falling from 3,326 million USD to 1,476 million USD. This downward trend reversed after 2019, with working capital increasing steadily to 2,307 million USD in 2020 and reaching 2,776 million USD by the end of 2021.
- Revenue Performance
- Revenue remained relatively stable between 2017 and 2020, fluctuating within a range of 8,612 million USD to 9,407 million USD. A significant growth phase was observed in 2021, where revenue climbed to 11,063 million USD, marking the highest volume in the analyzed period.
- Working Capital Turnover Analysis
- The working capital turnover ratio rose from 2.78 in 2017 to a peak of 6.01 in 2019. This increase was primarily driven by the substantial reduction in working capital while revenue levels remained consistent, indicating higher efficiency in utilizing short-term assets to generate sales. However, the ratio declined sharply to 3.73 in 2020, reflecting a simultaneous increase in working capital and a slight dip in revenue. By 2021, the ratio adjusted slightly upward to 3.99, as the surge in revenue offset the continued growth in working capital.
Overall, the data indicates that the peak efficiency observed in 2019 was a result of aggressive working capital reduction. The subsequent years show a shift toward higher working capital levels, which, despite the strong revenue growth in 2021, has resulted in a lower turnover ratio compared to the 2018-2019 peak.
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Average Inventory Processing Period
| Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Inventory turnover | 4.20 | 4.25 | 3.57 | 3.56 | 3.75 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 87 | 86 | 102 | 102 | 97 | |
| Benchmarks (no. days) | ||||||
| Average Inventory Processing Period, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 84 | — | — | — | — | |
| Analog Devices Inc. | 157 | 116 | — | — | — | |
| Applied Materials Inc. | 129 | 150 | — | — | — | |
| Broadcom Inc. | 45 | 35 | — | — | — | |
| Intel Corp. | 112 | — | — | — | — | |
| KLA Corp. | 207 | — | — | — | — | |
| Lam Research Corp. | 126 | — | — | — | — | |
| Marvell Technology Inc. | 66 | — | — | — | — | |
| Micron Technology Inc. | 95 | — | — | — | — | |
| NVIDIA Corp. | 106 | — | — | — | — | |
| Qualcomm Inc. | 83 | 102 | — | — | — | |
| Texas Instruments Inc. | 117 | — | — | — | — | |
| Average Inventory Processing Period, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 104 | — | — | — | — | |
| Average Inventory Processing Period, Industry | ||||||
| Information Technology | 35 | — | — | — | — | |
Based on: 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 20-F (reporting date: 2018-12-31), 20-F (reporting date: 2017-12-31).
1 2021 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 4.20 = 87
2 Click competitor name to see calculations.
The analysis of inventory activity from 2017 to 2021 reveals a distinct shift in operational efficiency. The period is characterized by an initial phase of decelerating inventory movement followed by a significant improvement in the speed of inventory processing beginning in 2020.
- Inventory Turnover Ratio
- The turnover ratio showed a slight decline between 2017 and 2019, moving from 3.75 to 3.57. A sharp reversal occurred in 2020, where the ratio climbed to 4.25, before stabilizing at 4.20 in 2021. This upward shift indicates a higher frequency of inventory replacement and a more efficient conversion of stock into sales.
- Average Inventory Processing Period
- The time required to process inventory increased from 97 days in 2017 to a peak of 102 days in 2018 and 2019. This trend was interrupted in 2020 by a substantial reduction to 86 days, with the period remaining nearly constant at 87 days in 2021. The reduction of approximately 15 days relative to the 2019 peak suggests a optimization of supply chain logistics and reduced holding times.
The inverse correlation between the rising turnover ratio and the falling processing period from 2020 onward demonstrates a strengthened capacity to manage working capital. The transition toward a shorter processing cycle indicates a leaner approach to inventory management, which typically reduces the risk of obsolescence and improves overall liquidity.
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Average Receivable Collection Period
| Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Receivables turnover | 11.99 | 11.26 | 13.31 | 11.88 | 10.53 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 30 | 32 | 27 | 31 | 35 | |
| Benchmarks (no. days) | ||||||
| Average Receivable Collection Period, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 60 | — | — | — | — | |
| Analog Devices Inc. | 73 | 48 | — | — | — | |
| Applied Materials Inc. | 78 | 63 | — | — | — | |
| Broadcom Inc. | 28 | 35 | — | — | — | |
| Intel Corp. | 44 | — | — | — | — | |
| KLA Corp. | 69 | — | — | — | — | |
| Lam Research Corp. | 76 | — | — | — | — | |
| Marvell Technology Inc. | 66 | — | — | — | — | |
| Micron Technology Inc. | 65 | — | — | — | — | |
| NVIDIA Corp. | 53 | — | — | — | — | |
| Qualcomm Inc. | 24 | 42 | — | — | — | |
| Texas Instruments Inc. | 34 | — | — | — | — | |
| Average Receivable Collection Period, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 49 | — | — | — | — | |
| Average Receivable Collection Period, Industry | ||||||
| Information Technology | 49 | — | — | — | — | |
Based on: 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 20-F (reporting date: 2018-12-31), 20-F (reporting date: 2017-12-31).
1 2021 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 11.99 = 30
2 Click competitor name to see calculations.
The analysis of short-term operating activity ratios indicates a fluctuating but generally stable efficiency in the management of accounts receivable between 2017 and 2021. An inverse correlation is observed between the receivables turnover ratio and the average collection period, reflecting the company's ability to convert credit sales into cash.
- Receivables Turnover
- A progressive increase in the turnover ratio was observed from 2017 to 2019, rising from 10.53 to a peak of 13.31. This trend indicates an improvement in the efficiency of credit collection during this period. However, a contraction occurred in 2020, where the ratio declined to 11.26, followed by a partial recovery to 11.99 by the end of 2021.
- Average Receivable Collection Period
- The collection period followed a mirrored trend, decreasing from 35 days in 2017 to a low of 27 days in 2019, suggesting an acceleration in cash inflows. A subsequent increase to 32 days in 2020 indicates a temporary slowdown in the collection cycle, which improved slightly to 30 days in 2021.
- Overall Operational Efficiency
- Despite the volatility observed in 2020, the collection cycle remains relatively short. The overall trend suggests that the company maintains a disciplined approach to credit management, as the 2021 collection period of 30 days remains an improvement over the 35-day period recorded in 2017.
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Operating Cycle
| Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 87 | 86 | 102 | 102 | 97 | |
| Average receivable collection period | 30 | 32 | 27 | 31 | 35 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 117 | 118 | 129 | 133 | 132 | |
| Benchmarks | ||||||
| Operating Cycle, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 144 | — | — | — | — | |
| Analog Devices Inc. | 230 | 164 | — | — | — | |
| Applied Materials Inc. | 207 | 213 | — | — | — | |
| Broadcom Inc. | 73 | 70 | — | — | — | |
| Intel Corp. | 156 | — | — | — | — | |
| KLA Corp. | 276 | — | — | — | — | |
| Lam Research Corp. | 202 | — | — | — | — | |
| Marvell Technology Inc. | 132 | — | — | — | — | |
| Micron Technology Inc. | 160 | — | — | — | — | |
| NVIDIA Corp. | 159 | — | — | — | — | |
| Qualcomm Inc. | 107 | 144 | — | — | — | |
| Texas Instruments Inc. | 151 | — | — | — | — | |
| Operating Cycle, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 153 | — | — | — | — | |
| Operating Cycle, Industry | ||||||
| Information Technology | 84 | — | — | — | — | |
Based on: 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 20-F (reporting date: 2018-12-31), 20-F (reporting date: 2017-12-31).
1 2021 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 87 + 30 = 117
2 Click competitor name to see calculations.
The overall operating cycle demonstrates a downward trend over the five-year period, decreasing from 132 days in 2017 to 117 days by the end of 2021. This reduction indicates an improvement in the efficiency of the company's working capital management, as the time required to convert inventory and receivables into cash has shortened.
- Average Inventory Processing Period
- The inventory processing period experienced a slight increase between 2017 and 2019, rising from 97 days to a peak of 102 days. However, a significant improvement occurred in 2020, where the period dropped to 86 days and remained relatively stable at 87 days in 2021. This suggests a marked increase in inventory turnover efficiency during the latter part of the period.
- Average Receivable Collection Period
- The collection period remained relatively stable and significantly shorter than the inventory period throughout the analyzed timeframe. A gradual decline was observed from 35 days in 2017 to a low of 27 days in 2019, followed by a slight increase to 30 days in 2021. The consistency of these figures indicates a disciplined credit policy and effective receivables management.
- Operating Cycle Integration
- The total operating cycle is primarily driven by fluctuations in inventory processing rather than receivable collection. The peak operating cycle of 133 days in 2018 coincided with the longest inventory holding period. The subsequent contraction of the cycle to 117 days by 2021 is almost entirely attributable to the reduction in the time inventory spends in the processing phase, resulting in a more streamlined operational flow.
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Average Payables Payment Period
| Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Payables turnover | 3.99 | 4.42 | 4.51 | 4.56 | 4.05 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 91 | 83 | 81 | 80 | 90 | |
| Benchmarks (no. days) | ||||||
| Average Payables Payment Period, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 60 | — | — | — | — | |
| Analog Devices Inc. | 58 | 43 | — | — | — | |
| Applied Materials Inc. | 44 | 43 | — | — | — | |
| Broadcom Inc. | 37 | 29 | — | — | — | |
| Intel Corp. | 60 | — | — | — | — | |
| KLA Corp. | 45 | — | — | — | — | |
| Lam Research Corp. | 39 | — | — | — | — | |
| Marvell Technology Inc. | 62 | — | — | — | — | |
| Micron Technology Inc. | 37 | — | — | — | — | |
| NVIDIA Corp. | 70 | — | — | — | — | |
| Qualcomm Inc. | 70 | 89 | — | — | — | |
| Texas Instruments Inc. | 35 | — | — | — | — | |
| Average Payables Payment Period, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 52 | — | — | — | — | |
| Average Payables Payment Period, Industry | ||||||
| Information Technology | 79 | — | — | — | — | |
Based on: 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 20-F (reporting date: 2018-12-31), 20-F (reporting date: 2017-12-31).
1 2021 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 3.99 = 91
2 Click competitor name to see calculations.
Analysis of the short-term operating activity indicates a cyclical trend in the management of accounts payable between 2017 and 2021. The relationship between the turnover ratio and the payment period demonstrates a consistent inverse correlation, where fluctuations in turnover directly correspond to changes in the duration of the payment cycle.
- Payables Turnover
- The turnover ratio experienced an initial increase from 4.05 in 2017 to a peak of 4.56 in 2018. Following this peak, a steady decline was observed over the subsequent three years, with the ratio falling to 4.51 in 2019, 4.42 in 2020, and reaching a period low of 3.99 by the end of 2021. This trajectory indicates that the frequency of clearing supplier obligations was most efficient in 2018 and least frequent in 2021.
- Average Payables Payment Period
- The average duration to settle obligations decreased from 90 days in 2017 to 80 days in 2018, representing a significant shortening of the credit cycle. This duration remained relatively stable through 2020, fluctuating slightly between 80 and 83 days. However, 2021 saw a notable increase to 91 days, marking the longest payment period within the analyzed timeframe.
The return to a 91-day payment period in 2021, coupled with the decline in turnover to 3.99, indicates an expansion of the payment cycle. This trend suggests a shift toward utilizing supplier credit more extensively, potentially to optimize working capital or reflecting changes in negotiated terms with vendors toward the end of the period.
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Cash Conversion Cycle
| Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 87 | 86 | 102 | 102 | 97 | |
| Average receivable collection period | 30 | 32 | 27 | 31 | 35 | |
| Average payables payment period | 91 | 83 | 81 | 80 | 90 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | 26 | 35 | 48 | 53 | 42 | |
| Benchmarks | ||||||
| Cash Conversion Cycle, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 84 | — | — | — | — | |
| Analog Devices Inc. | 172 | 121 | — | — | — | |
| Applied Materials Inc. | 163 | 170 | — | — | — | |
| Broadcom Inc. | 36 | 41 | — | — | — | |
| Intel Corp. | 96 | — | — | — | — | |
| KLA Corp. | 231 | — | — | — | — | |
| Lam Research Corp. | 163 | — | — | — | — | |
| Marvell Technology Inc. | 70 | — | — | — | — | |
| Micron Technology Inc. | 123 | — | — | — | — | |
| NVIDIA Corp. | 89 | — | — | — | — | |
| Qualcomm Inc. | 37 | 55 | — | — | — | |
| Texas Instruments Inc. | 116 | — | — | — | — | |
| Cash Conversion Cycle, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 101 | — | — | — | — | |
| Cash Conversion Cycle, Industry | ||||||
| Information Technology | 5 | — | — | — | — | |
Based on: 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 20-F (reporting date: 2018-12-31), 20-F (reporting date: 2017-12-31).
1 2021 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 87 + 30 – 91 = 26
2 Click competitor name to see calculations.
The operational efficiency of the company demonstrates a significant positive trend in working capital management over the five-year period from 2017 to 2021. The cash conversion cycle experienced a notable contraction, decreasing from 42 days in 2017 to 26 days by the end of 2021, signaling an increased ability to convert resources into cash more rapidly.
- Average Inventory Processing Period
- Inventory management showed a period of stagnation between 2018 and 2019, with the processing period holding steady at 102 days. A significant improvement was observed starting in 2020, where the period dropped to 86 days and remained nearly constant at 87 days in 2021. This reduction indicates a more efficient movement of goods through the production and sales pipeline.
- Average Receivable Collection Period
- The collection of receivables remained consistently efficient and relatively stable throughout the analyzed period. The duration fluctuated within a narrow range of 27 to 35 days, with the optimal collection speed reached in 2019. This stability suggests a disciplined credit policy and effective accounts receivable management.
- Average Payables Payment Period
- Payables management exhibited a U-shaped trend. The period declined from 90 days in 2017 to a low of 80 days in 2018, remaining in the low 80s through 2020. In 2021, there was a strategic increase to 91 days. This extension of payment terms in the final year contributed positively to liquidity by delaying cash outflows to suppliers.
- Overall Cash Conversion Cycle Analysis
- The cash conversion cycle peaked in 2018 at 53 days, primarily due to a lengthening of the inventory processing period. Following this peak, a consistent downward trend emerged. The sharp decline to 26 days by 2021 was the result of a synergistic effect: the reduction in inventory holding times combined with the strategic extension of payables payment periods, thereby minimizing the net time capital was tied up in operations.
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