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: 2023-12-31), 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31).
The analysis of short-term operating activity ratios indicates a significant trend toward reduced operational efficiency between 2019 and 2023. The primary drivers of this decline are the slowing of inventory movement and an extension of the receivable collection period, which have collectively resulted in a substantially longer cash conversion cycle.
- Inventory Management Efficiency
- Inventory turnover has experienced a consistent downward trajectory, falling from 5.67 in 2019 to 2.46 in 2023. Correspondingly, the average inventory processing period has more than doubled, increasing from 64 days to 148 days. This pattern suggests a significant increase in the time required to convert raw materials and work-in-progress into finished goods sold.
- Receivables and Collection Performance
- The receivables turnover ratio exhibits volatility, peaking at 10.19 in 2020 before declining to a five-year low of 5.02 in 2023. This decline is mirrored in the average receivable collection period, which expanded to 73 days by the end of 2023. The increase in the collection period indicates a slowdown in the recovery of cash from customers.
- Payables and Cash Cycle Dynamics
- Payables turnover remained relatively stable until a notable dip in 2022, where the payment period extended to 49 days. Despite a partial correction in 2023, the overarching operating cycle has expanded from 121 days in 2019 to 221 days in 2023. Consequently, the cash conversion cycle has increased from 89 days to 184 days, demonstrating that capital is tied up in the operating process for a significantly longer duration than in previous years.
- Working Capital Utilization
- The working capital turnover ratio has followed a steady decline, moving from 1.34 in 2019 to 1.00 in 2023. This downward trend reflects a diminishing ability to generate sales relative to the amount of working capital employed, aligning with the observed inefficiencies in inventory and receivables management.
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Inventory Turnover
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of sales | 2,017,923) | 2,549,461) | 2,193,423) | 2,030,659) | 2,513,905) | |
| Inventories | 819,899) | 621,376) | 666,299) | 567,587) | 443,513) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 2.46 | 4.10 | 3.29 | 3.58 | 5.67 | |
| Benchmarks | ||||||
| Inventory Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 2.81 | 3.45 | 4.35 | — | — | |
| Analog Devices Inc. | 2.70 | 3.20 | 2.33 | 3.14 | — | |
| Applied Materials Inc. | 2.47 | 2.33 | 2.82 | 2.44 | — | |
| Broadcom Inc. | 5.86 | 5.77 | 8.18 | 10.34 | — | |
| Intel Corp. | 2.92 | 2.74 | 3.27 | — | — | |
| KLA Corp. | 1.47 | 1.67 | 1.76 | — | — | |
| Lam Research Corp. | 2.00 | 2.36 | 2.91 | — | — | |
| Marvell Technology Inc. | 2.74 | 3.33 | 5.52 | — | — | |
| Micron Technology Inc. | 2.02 | 2.53 | 3.85 | — | — | |
| NVIDIA Corp. | 2.25 | 3.62 | 3.44 | — | — | |
| Qualcomm Inc. | 2.47 | 2.94 | 4.42 | 3.56 | — | |
| Texas Instruments Inc. | 1.63 | 2.27 | 3.12 | — | — | |
| Inventory Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 2.47 | 2.82 | 3.52 | — | — | |
| Inventory Turnover, Industry | ||||||
| Information Technology | 7.98 | 8.63 | 10.48 | — | — | |
Based on: 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), 10-K (reporting date: 2019-12-31).
1 2023 Calculation
Inventory turnover = Cost of sales ÷ Inventories
= 2,017,923 ÷ 819,899 = 2.46
2 Click competitor name to see calculations.
An analysis of short-term operating activity reveals a general decline in inventory management efficiency over the five-year period ending December 31, 2023. The inventory turnover ratio experienced a notable downward trend, indicating a slower conversion of inventory into sales and a potential increase in carrying costs.
- Cost of Sales Volatility
- Expenditures associated with the cost of sales exhibited significant fluctuation. After starting at approximately $2.51 billion in 2019, the figure decreased to $2.03 billion in 2020, recovered to a peak of $2.55 billion in 2022, and subsequently declined to $2.02 billion by the end of 2023. This volatility suggests instability in the volume of goods shipped or shifts in production costs.
- Inventory Asset Growth
- A consistent upward trajectory is observed in inventory holdings. Total inventories increased from $443.5 million in 2019 to $819.9 million in 2023, representing an increase of approximately 85% over the period. Despite a marginal reduction in 2022, the overall trend indicates a substantial accumulation of stock.
- Inventory Turnover Efficiency
- The inventory turnover ratio declined from 5.67 in 2019 to a period low of 2.46 in 2023. A temporary improvement to 4.10 occurred in 2022, driven by a peak in the cost of sales combined with a slight dip in inventory levels. However, the sharp decline in 2023 is particularly noteworthy, as the lowest turnover ratio coincides with the highest recorded inventory levels and a decrease in the cost of sales, signaling a marked reduction in operational efficiency regarding inventory throughput.
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Receivables Turnover
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Net sales | 3,318,602) | 2,619,319) | 2,923,377) | 2,711,332) | 3,063,117) | |
| Accounts receivable trade, net | 660,776) | 324,337) | 429,436) | 266,086) | 475,039) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 5.02 | 8.08 | 6.81 | 10.19 | 6.45 | |
| Benchmarks | ||||||
| Receivables Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 5.25 | 5.72 | 6.07 | — | — | |
| Analog Devices Inc. | 8.37 | 6.67 | 5.02 | 7.60 | — | |
| Applied Materials Inc. | 5.13 | 4.25 | 4.66 | 5.81 | — | |
| Broadcom Inc. | 11.36 | 11.22 | 13.25 | 10.40 | — | |
| Intel Corp. | 15.94 | 15.26 | 8.36 | — | — | |
| KLA Corp. | 5.99 | 5.08 | 5.30 | — | — | |
| Lam Research Corp. | 6.17 | 3.99 | 4.83 | — | — | |
| Marvell Technology Inc. | 4.97 | 4.26 | 5.53 | — | — | |
| Micron Technology Inc. | 7.59 | 6.45 | 5.63 | — | — | |
| NVIDIA Corp. | 7.05 | 5.79 | 6.86 | — | — | |
| Qualcomm Inc. | 18.63 | 10.59 | 15.16 | 8.76 | — | |
| Texas Instruments Inc. | 9.80 | 10.57 | 10.78 | — | — | |
| Receivables Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 8.56 | 7.44 | 7.45 | — | — | |
| Receivables Turnover, Industry | ||||||
| Information Technology | 7.42 | 7.39 | 7.51 | — | — | |
Based on: 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), 10-K (reporting date: 2019-12-31).
1 2023 Calculation
Receivables turnover = Net sales ÷ Accounts receivable trade, net
= 3,318,602 ÷ 660,776 = 5.02
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals significant volatility in the efficiency of receivables management over the five-year period ending December 31, 2023. The receivables turnover ratio exhibits a non-linear trend, fluctuating between a high of 10.19 and a low of 5.02, indicating inconsistent collection cycles or varying credit policies.
- Receivables Turnover Performance
- A peak in collection efficiency was observed in 2020, where the turnover ratio reached 10.19. This improvement was primarily driven by a substantial reduction in net accounts receivable, which fell to 266.09 million despite a simultaneous decline in net sales. Subsequent years showed instability, with the ratio dropping to 6.81 in 2021, recovering to 8.08 in 2022, and ultimately falling to a period low of 5.02 in 2023.
- Correlation Between Sales Growth and Receivables
- In 2023, net sales reached a five-year peak of approximately 3.32 billion. However, this growth was accompanied by a disproportionate increase in accounts receivable, which rose to 660.78 million. The resulting decline in the turnover ratio to 5.02 suggests that the increase in revenue was partially driven by an expansion of credit extended to customers or a deceleration in the speed of cash collections.
- Operating Cycle Implications
- The divergence between sales and receivable growth in the final year of the analysis indicates a lengthening of the average collection period. While the company experienced its highest sales volume in 2023, the corresponding drop in turnover efficiency suggests a higher reliance on credit sales or a potential increase in credit risk compared to the efficiencies observed in 2020 and 2022.
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Payables Turnover
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of sales | 2,017,923) | 2,549,461) | 2,193,423) | 2,030,659) | 2,513,905) | |
| Accounts payable | 207,178) | 341,409) | 193,374) | 183,349) | 218,081) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 9.74 | 7.47 | 11.34 | 11.08 | 11.53 | |
| Benchmarks | ||||||
| Payables Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 5.05 | 4.40 | 6.05 | — | — | |
| Analog Devices Inc. | 8.98 | 7.70 | 6.30 | 8.42 | — | |
| Applied Materials Inc. | 9.56 | 7.86 | 8.25 | 8.46 | — | |
| Broadcom Inc. | 9.20 | 11.13 | 9.77 | 12.41 | — | |
| Intel Corp. | 3.79 | 3.77 | 6.13 | — | — | |
| KLA Corp. | 11.37 | 8.10 | 8.10 | — | — | |
| Lam Research Corp. | 20.50 | 9.25 | 9.43 | — | — | |
| Marvell Technology Inc. | 6.29 | 5.20 | 5.87 | — | — | |
| Micron Technology Inc. | 9.83 | 7.87 | 9.91 | — | — | |
| NVIDIA Corp. | 9.74 | 5.29 | 5.23 | — | — | |
| Qualcomm Inc. | 8.30 | 4.91 | 5.19 | 4.12 | — | |
| Texas Instruments Inc. | 8.10 | 7.35 | 10.45 | — | — | |
| Payables Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 6.73 | 5.50 | 7.01 | — | — | |
| Payables Turnover, Industry | ||||||
| Information Technology | 4.77 | 4.24 | 4.63 | — | — | |
Based on: 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), 10-K (reporting date: 2019-12-31).
1 2023 Calculation
Payables turnover = Cost of sales ÷ Accounts payable
= 2,017,923 ÷ 207,178 = 9.74
2 Click competitor name to see calculations.
An analysis of the operating activity ratios reveals a period of relative stability followed by a significant fluctuation in payables management between 2019 and 2023. The payables turnover ratio indicates how frequently a company pays its suppliers, and the observed data shows a notable deviation from established patterns during the 2022 fiscal year.
- Payables Turnover Trends
- The turnover ratio remained consistent from 2019 through 2021, maintaining a range between 11.08 and 11.53. A significant contraction occurred in 2022, with the ratio dropping to 7.47. This represents a deceleration in the rate at which obligations to suppliers were settled. By 2023, the ratio showed a recovery, increasing to 9.74, although it remained below the levels observed in the 2019-2021 period.
- Accounts Payable Dynamics
- The decline in the turnover ratio in 2022 is directly correlated with a sharp increase in accounts payable, which rose to US$ 341.4 million from US$ 193.4 million in 2021. This increase suggests a strategic or operational extension of payment terms during that year. In 2023, accounts payable decreased significantly to US$ 207.2 million, contributing to the subsequent rise in the turnover ratio.
- Relationship with Cost of Sales
- Cost of sales experienced volatility, reaching a peak of US$ 2.55 billion in 2022. The simultaneous peak in both cost of sales and accounts payable in 2022 resulted in the lowest turnover ratio of the five-year period, as the growth in liabilities outpaced the growth in operational costs. The subsequent reduction in cost of sales to US$ 2.02 billion in 2023, coupled with reduced payables, aligned the turnover ratio closer to its historical average.
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Working Capital Turnover
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Current assets | 4,634,809) | 3,791,421) | 3,191,243) | 3,014,535) | 3,599,834) | |
| Less: Current liabilities | 1,306,158) | 1,038,048) | 726,878) | 847,398) | 1,318,208) | |
| Working capital | 3,328,651) | 2,753,373) | 2,464,365) | 2,167,137) | 2,281,626) | |
| Net sales | 3,318,602) | 2,619,319) | 2,923,377) | 2,711,332) | 3,063,117) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | 1.00 | 0.95 | 1.19 | 1.25 | 1.34 | |
| Benchmarks | ||||||
| Working Capital Turnover, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 2.25 | 2.73 | 3.78 | — | — | |
| Analog Devices Inc. | 10.40 | 4.81 | 2.81 | 4.86 | — | |
| Applied Materials Inc. | 2.25 | 3.02 | 2.36 | 1.93 | — | |
| Broadcom Inc. | 2.66 | 2.90 | 2.66 | 4.32 | — | |
| Intel Corp. | 3.56 | 3.45 | 2.61 | — | — | |
| KLA Corp. | 2.27 | 2.14 | 1.93 | — | — | |
| Lam Research Corp. | 1.93 | 2.23 | 1.80 | — | — | |
| Marvell Technology Inc. | 6.62 | 4.04 | 5.50 | — | — | |
| Micron Technology Inc. | 0.94 | 2.16 | 2.05 | — | — | |
| NVIDIA Corp. | 1.63 | 1.10 | 1.37 | — | — | |
| Qualcomm Inc. | 2.79 | 4.99 | 4.13 | 2.39 | — | |
| Texas Instruments Inc. | 1.48 | 1.81 | 1.65 | — | — | |
| Working Capital Turnover, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 2.27 | 2.56 | 2.40 | — | — | |
| Working Capital Turnover, Industry | ||||||
| Information Technology | 5.74 | 6.38 | 4.29 | — | — | |
Based on: 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), 10-K (reporting date: 2019-12-31).
1 2023 Calculation
Working capital turnover = Net sales ÷ Working capital
= 3,318,602 ÷ 3,328,651 = 1.00
2 Click competitor name to see calculations.
An analysis of the operating activity ratios from 2019 to 2023 reveals a general decline in the efficiency with which working capital is utilized to generate sales. While there was a slight recovery in the final year of the period, the overall trajectory indicates that working capital has grown at a faster rate than net sales, resulting in a lower turnover ratio.
- Working Capital Trends
- Working capital exhibited a consistent upward trend following a slight dip in 2020. From a value of US$ 2,281,626 thousand in 2019, it increased to US$ 3,328,651 thousand by 2023. This represents a significant expansion of the net current assets available to support operations.
- Net Sales Performance
- Net sales demonstrated volatility throughout the analyzed period. After declining in 2020 and 2022, sales reached a period peak of US$ 3,318,602 thousand in 2023. The lack of a linear growth pattern in sales, contrasted with the steady increase in working capital, contributed to the compression of the turnover ratio.
- Working Capital Turnover Ratio
- The working capital turnover ratio experienced a steady decline from 1.34 in 2019 to a low of 0.95 in 2022. This suggests a decreasing ability to generate revenue per unit of working capital employed. In 2023, the ratio marginally improved to 1.00, coinciding with the peak in net sales, though it remains substantially below the 2019 efficiency level.
The divergence between the growth of working capital and the volatility of net sales indicates a shift in the operational structure. The decrease in the turnover ratio suggests that more liquidity is being tied up in short-term assets relative to the revenue being produced, which may point toward increased inventory levels or higher accounts receivable balances relative to sales growth.
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Average Inventory Processing Period
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Inventory turnover | 2.46 | 4.10 | 3.29 | 3.58 | 5.67 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 148 | 89 | 111 | 102 | 64 | |
| Benchmarks (no. days) | ||||||
| Average Inventory Processing Period, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 130 | 106 | 84 | — | — | |
| Analog Devices Inc. | 135 | 114 | 157 | 116 | — | |
| Applied Materials Inc. | 148 | 157 | 129 | 150 | — | |
| Broadcom Inc. | 62 | 63 | 45 | 35 | — | |
| Intel Corp. | 125 | 133 | 112 | — | — | |
| KLA Corp. | 249 | 218 | 207 | — | — | |
| Lam Research Corp. | 182 | 155 | 126 | — | — | |
| Marvell Technology Inc. | 133 | 110 | 66 | — | — | |
| Micron Technology Inc. | 181 | 144 | 95 | — | — | |
| NVIDIA Corp. | 162 | 101 | 106 | — | — | |
| Qualcomm Inc. | 148 | 124 | 83 | 102 | — | |
| Texas Instruments Inc. | 225 | 161 | 117 | — | — | |
| Average Inventory Processing Period, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 148 | 129 | 104 | — | — | |
| Average Inventory Processing Period, Industry | ||||||
| Information Technology | 46 | 42 | 35 | — | — | |
Based on: 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), 10-K (reporting date: 2019-12-31).
1 2023 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.46 = 148
2 Click competitor name to see calculations.
The inventory management metrics from 2019 to 2023 indicate a general decline in operational efficiency regarding the conversion of inventory into sales. While a temporary recovery in efficiency occurred in 2022, the period concluded with the lowest turnover rate and the longest processing cycle within the five-year observation window.
- Inventory Turnover
- A downward trajectory is evident, with the turnover ratio falling from 5.67 in 2019 to 2.46 in 2023. This represents a substantial reduction in the frequency with which inventory is replaced during the fiscal year. The trend was characterized by a steady decline through 2021, a moderate recovery to 4.10 in 2022, and a sharp drop to a five-year low in 2023.
- Average Inventory Processing Period
- The time required to process inventory increased significantly, rising from 64 days in 2019 to 148 days in 2023. The processing period extended to 111 days by 2021 before contracting to 89 days in 2022. However, a significant increase occurred in 2023, resulting in a processing period that is more than double the duration recorded in 2019, signaling a marked slowdown in inventory movement.
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Average Receivable Collection Period
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Receivables turnover | 5.02 | 8.08 | 6.81 | 10.19 | 6.45 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 73 | 45 | 54 | 36 | 57 | |
| Benchmarks (no. days) | ||||||
| Average Receivable Collection Period, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 70 | 64 | 60 | — | — | |
| Analog Devices Inc. | 44 | 55 | 73 | 48 | — | |
| Applied Materials Inc. | 71 | 86 | 78 | 63 | — | |
| Broadcom Inc. | 32 | 33 | 28 | 35 | — | |
| Intel Corp. | 23 | 24 | 44 | — | — | |
| KLA Corp. | 61 | 72 | 69 | — | — | |
| Lam Research Corp. | 59 | 91 | 76 | — | — | |
| Marvell Technology Inc. | 74 | 86 | 66 | — | — | |
| Micron Technology Inc. | 48 | 57 | 65 | — | — | |
| NVIDIA Corp. | 52 | 63 | 53 | — | — | |
| Qualcomm Inc. | 20 | 34 | 24 | 42 | — | |
| Texas Instruments Inc. | 37 | 35 | 34 | — | — | |
| Average Receivable Collection Period, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 43 | 49 | 49 | — | — | |
| Average Receivable Collection Period, Industry | ||||||
| Information Technology | 49 | 49 | 49 | — | — | |
Based on: 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), 10-K (reporting date: 2019-12-31).
1 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.02 = 73
2 Click competitor name to see calculations.
The analysis of short-term operating activity indicates significant volatility in the efficiency of receivables management between 2019 and 2023. A clear inverse correlation exists between the receivables turnover ratio and the average collection period, with a marked deterioration in collection efficiency observed in the most recent fiscal year.
- Receivables Turnover Trends
- The receivables turnover ratio exhibited fluctuating performance, peaking at 10.19 in 2020 before declining to a five-year low of 5.02 by the end of 2023. The substantial decrease between 2022 and 2023 suggests a reduction in the frequency with which the entity converts its outstanding receivables into cash.
- Average Receivable Collection Period Fluctuations
- The collection period mirrored the turnover volatility, beginning at 57 days in 2019 and improving to a minimum of 36 days in 2020. Following a period of instability, the collection cycle reached its maximum duration of 73 days in 2023, indicating a significant slowdown in the realization of cash from credit sales.
- Comparative Efficiency Analysis
- The transition from a 45-day collection cycle in 2022 to a 73-day cycle in 2023 represents a sharp increase in the time required to collect payments. This extension, paired with the lowest recorded turnover ratio in the same period, points to a decrease in credit collection efficiency or a potential shift in customer payment terms during the final year of the analyzed period.
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Operating Cycle
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 148 | 89 | 111 | 102 | 64 | |
| Average receivable collection period | 73 | 45 | 54 | 36 | 57 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 221 | 134 | 165 | 138 | 121 | |
| Benchmarks | ||||||
| Operating Cycle, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 200 | 170 | 144 | — | — | |
| Analog Devices Inc. | 179 | 169 | 230 | 164 | — | |
| Applied Materials Inc. | 219 | 243 | 207 | 213 | — | |
| Broadcom Inc. | 94 | 96 | 73 | 70 | — | |
| Intel Corp. | 148 | 157 | 156 | — | — | |
| KLA Corp. | 310 | 290 | 276 | — | — | |
| Lam Research Corp. | 241 | 246 | 202 | — | — | |
| Marvell Technology Inc. | 207 | 196 | 132 | — | — | |
| Micron Technology Inc. | 229 | 201 | 160 | — | — | |
| NVIDIA Corp. | 214 | 164 | 159 | — | — | |
| Qualcomm Inc. | 168 | 158 | 107 | 144 | — | |
| Texas Instruments Inc. | 262 | 196 | 151 | — | — | |
| Operating Cycle, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 191 | 178 | 153 | — | — | |
| Operating Cycle, Industry | ||||||
| Information Technology | 95 | 91 | 84 | — | — | |
Based on: 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), 10-K (reporting date: 2019-12-31).
1 2023 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 148 + 73 = 221
2 Click competitor name to see calculations.
The analysis of the operating cycle reveals a general trend of expansion in the timeframe required to convert resources into cash. From 2019 to 2023, the total operating cycle increased from 121 days to 221 days, indicating a substantial slowdown in short-term operational efficiency, particularly in the final year of the period.
- Average Inventory Processing Period
- The period required to process inventory showed a general upward trajectory, increasing from 64 days in 2019 to a peak of 148 days in 2023. While a temporary improvement occurred in 2022, with the period decreasing to 89 days, this was followed by a sharp increase in 2023, marking the longest processing duration in the observed period.
- Average Receivable Collection Period
- Receivable collections exhibited volatility over the five-year span. After reaching a low of 36 days in 2020, the collection period trended generally upward, reaching a high of 73 days by 2023. This pattern indicates an increase in the time elapsed between sales and the actual receipt of cash.
- Operating Cycle
- The overall operating cycle expanded from 121 days in 2019 to 221 days in 2023. The growth was characterized by a peak in 2021 at 165 days, a contraction in 2022 to 134 days, and a subsequent dramatic surge in 2023. This final increase suggests a simultaneous deterioration in both inventory turnover and receivable collection efficiency, significantly extending the duration of the working capital cycle.
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Average Payables Payment Period
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Payables turnover | 9.74 | 7.47 | 11.34 | 11.08 | 11.53 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 37 | 49 | 32 | 33 | 32 | |
| Benchmarks (no. days) | ||||||
| Average Payables Payment Period, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 72 | 83 | 60 | — | — | |
| Analog Devices Inc. | 41 | 47 | 58 | 43 | — | |
| Applied Materials Inc. | 38 | 46 | 44 | 43 | — | |
| Broadcom Inc. | 40 | 33 | 37 | 29 | — | |
| Intel Corp. | 96 | 97 | 60 | — | — | |
| KLA Corp. | 32 | 45 | 45 | — | — | |
| Lam Research Corp. | 18 | 39 | 39 | — | — | |
| Marvell Technology Inc. | 58 | 70 | 62 | — | — | |
| Micron Technology Inc. | 37 | 46 | 37 | — | — | |
| NVIDIA Corp. | 37 | 69 | 70 | — | — | |
| Qualcomm Inc. | 44 | 74 | 70 | 89 | — | |
| Texas Instruments Inc. | 45 | 50 | 35 | — | — | |
| Average Payables Payment Period, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 54 | 66 | 52 | — | — | |
| Average Payables Payment Period, Industry | ||||||
| Information Technology | 76 | 86 | 79 | — | — | |
Based on: 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), 10-K (reporting date: 2019-12-31).
1 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 9.74 = 37
2 Click competitor name to see calculations.
Analysis of short-term activity ratios reveals a period of stability followed by significant volatility in the management of trade payables between 2019 and 2023.
- Payables Turnover
- The payables turnover remained relatively constant from 2019 to 2021, fluctuating minimally between 11.08 and 11.53. A sharp decline occurred in 2022, with the ratio dropping to 7.47, marking the lowest level of turnover within the observed period. In 2023, a partial recovery was observed as the ratio increased to 9.74, though it did not return to the levels seen prior to 2022.
- Average Payables Payment Period
- The average time taken to settle obligations with suppliers was stable, ranging between 32 and 33 days from 2019 through 2021. This stability was interrupted in 2022 by a substantial increase to 49 days. By 2023, the payment period contracted to 37 days, indicating a return toward more accelerated payment cycles, albeit remaining above the 2019-2021 baseline.
The inverse correlation between payables turnover and the payment period is evident, particularly during the 2022 fiscal year. The spike in the payment period suggests a temporary expansion of the credit window or a strategic delay in cash outflows to manage working capital. The subsequent reduction in 2023 indicates a normalization of supplier payment terms or an increase in liquidity allocated to the settlement of short-term liabilities.
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Cash Conversion Cycle
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 148 | 89 | 111 | 102 | 64 | |
| Average receivable collection period | 73 | 45 | 54 | 36 | 57 | |
| Average payables payment period | 37 | 49 | 32 | 33 | 32 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | 184 | 85 | 133 | 105 | 89 | |
| Benchmarks | ||||||
| Cash Conversion Cycle, Competitors2 | ||||||
| Advanced Micro Devices Inc. | 128 | 87 | 84 | — | — | |
| Analog Devices Inc. | 138 | 122 | 172 | 121 | — | |
| Applied Materials Inc. | 181 | 197 | 163 | 170 | — | |
| Broadcom Inc. | 54 | 63 | 36 | 41 | — | |
| Intel Corp. | 52 | 60 | 96 | — | — | |
| KLA Corp. | 278 | 245 | 231 | — | — | |
| Lam Research Corp. | 223 | 207 | 163 | — | — | |
| Marvell Technology Inc. | 149 | 126 | 70 | — | — | |
| Micron Technology Inc. | 192 | 155 | 123 | — | — | |
| NVIDIA Corp. | 177 | 95 | 89 | — | — | |
| Qualcomm Inc. | 124 | 84 | 37 | 55 | — | |
| Texas Instruments Inc. | 217 | 146 | 116 | — | — | |
| Cash Conversion Cycle, Sector | ||||||
| Semiconductors & Semiconductor Equipment | 137 | 112 | 101 | — | — | |
| Cash Conversion Cycle, Industry | ||||||
| Information Technology | 19 | 5 | 5 | — | — | |
Based on: 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), 10-K (reporting date: 2019-12-31).
1 2023 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 148 + 73 – 37 = 184
2 Click competitor name to see calculations.
The Cash Conversion Cycle (CCC) exhibits significant volatility over the observed five-year period, characterized by a substantial expansion in the time required to convert resource inputs into cash flows. After a period of fluctuation and a notable improvement in 2022, the cycle lengthened sharply in 2023, reaching a peak of 184 days.
- Average Inventory Processing Period
- A pronounced upward trend is observed in the time required to process inventory. The period increased from 64 days in 2019 to 148 days in 2023. Although a temporary reduction to 89 days occurred in 2022, the subsequent surge in 2023 represents the primary driver behind the overall extension of the cash conversion cycle.
- Average Receivable Collection Period
- The collection of receivables has shown inconsistent patterns, fluctuating between a low of 36 days in 2020 and a high of 73 days in 2023. The significant increase in the collection period during the final year suggests a slowing in the conversion of credit sales into cash.
- Average Payables Payment Period
- Payment terms for suppliers remained relatively stable compared to asset turnover ratios. The period fluctuated within a narrow range of 32 to 49 days. The peak in 2022 provided a temporary offset to the CCC, but the decrease to 37 days in 2023 contributed to the overall increase in the cash conversion cycle.
- Cash Conversion Cycle Integration
- The cumulative effect of slower inventory turnover and delayed receivable collections, coupled with a reduction in the payables payment period in 2023, resulted in the CCC more than doubling from its 2022 level of 85 days to 184 days. This indicates a significant increase in the amount of working capital tied up in operating activities.
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