Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
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Short-term Activity Ratios (Summary)
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).
- Inventory Turnover
- The inventory turnover ratio has shown a declining trend over the analyzed period, decreasing from 12.57 in 2019 to 5.77 in 2023. This indicates a slower rate of inventory being sold and replaced, suggesting potential issues with inventory management or changes in demand.
- Receivables Turnover
- The receivables turnover ratio remained relatively stable from 2019 through 2021, fluctuating slightly between 4.14 and 4.29. Notably, there was an increase in 2022 to 5.29, before a slight decline to 5.14 in 2023. This pattern points to improved efficiency in collecting receivables during 2022, with a slight easing in the following year.
- Payables Turnover
- The payables turnover ratio exhibited variability, initially declining from 7.01 in 2019 to 5.9 in 2020, then increasing to 7.27 in 2021. A significant rise occurred in 2022 and 2023, reaching approximately 10.8 and 10.6 respectively. This suggests that the company is paying its suppliers more rapidly in recent years.
- Working Capital Turnover
- The working capital turnover ratio declined from 2.08 in 2019 to 1.2 in 2023, indicating reduced efficiency in generating sales from working capital. This declining trend may reflect increasing investment in working capital or diminished sales growth relative to working capital employed.
- Average Inventory Processing Period
- There has been a steady increase in the average inventory processing period from 29 days in 2019 to 63 days in 2023, more than doubling over the period. This aligns with the decrease in inventory turnover and suggests longer times to sell inventory, potentially contributing to higher holding costs or obsolescence risk.
- Average Receivable Collection Period
- The average receivable collection period remained relatively stable around mid to high 80-day range from 2019 to 2021, followed by a significant improvement to 69 days in 2022. In 2023, it slightly increased to 71 days but remained below earlier levels, consistent with the improvement in receivables turnover during the same timeframe.
- Operating Cycle
- The operating cycle, which sums the inventory processing and receivable collection periods, ranged between 109 and 134 days. After a slight reduction to 109 days in 2022, the cycle extended sharply to 134 days in 2023, driven primarily by the increased inventory period. This elongation indicates a longer duration from inventory acquisition to cash receipt from sales.
- Average Payables Payment Period
- The average payables payment period increased from 52 days in 2019 to a peak of 62 days in 2020, before declining substantially to 34 days in both 2022 and 2023. This reduction suggests the company has been accelerating payments to suppliers in recent years, which is consistent with the rising payables turnover ratio.
- Cash Conversion Cycle
- The cash conversion cycle showed fluctuation but an overall increasing trend, moving from 62 days in 2019 to 100 days in 2023. After a modest reduction in 2020 and 2021, it lengthened notably in 2022 and 2023, indicating that the company’s cash tied up in operating activities is increasing, primarily due to the significantly longer inventory holding period and changes in receivables and payables management.
Turnover Ratios
Average No. Days
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 revenues | ||||||
Inventory | ||||||
Short-term Activity Ratio | ||||||
Inventory turnover1 | ||||||
Benchmarks | ||||||
Inventory Turnover, Competitors2 | ||||||
Advanced Micro Devices Inc. | ||||||
Analog Devices Inc. | ||||||
Applied Materials Inc. | ||||||
Broadcom Inc. | ||||||
Intel Corp. | ||||||
KLA Corp. | ||||||
Lam Research Corp. | ||||||
Micron Technology Inc. | ||||||
NVIDIA Corp. | ||||||
Qualcomm Inc. | ||||||
Texas Instruments Inc. | ||||||
Inventory Turnover, Sector | ||||||
Semiconductors & Semiconductor Equipment | ||||||
Inventory Turnover, Industry | ||||||
Information Technology |
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 revenues ÷ Inventory
= ÷ =
2 Click competitor name to see calculations.
- Cost of Revenues
- The cost of revenues has shown a significant upward trend from 2019 through 2022, increasing from approximately 403 million USD to about 1.36 billion USD. A slight decline occurred in 2023, where the cost decreased to roughly 1.23 billion USD. Overall, the cost of revenues experienced substantial growth over the five-year period, indicating increased production or sales activity until the recent dip.
- Inventory
- Inventory levels have steadily increased each year from 32 million USD in 2019 to over 213 million USD in 2023. This represents a more than sixfold increase over the period. The consistent upward movement suggests accumulation of inventory or an expansion in stock holdings, potentially in response to higher demand or supply chain considerations.
- Inventory Turnover
- Inventory turnover ratio has generally decreased over the years, starting at 12.57 in 2019 and declining to 5.77 by the end of 2023. This decline indicates that inventory is being sold and replaced less frequently. The decrease in turnover ratio, concurrent with rising inventory levels, may suggest slower inventory movement or potential overstocking.
Receivables Turnover
Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | ||||||
Net revenues | ||||||
Accounts receivable, net of allowances | ||||||
Short-term Activity Ratio | ||||||
Receivables turnover1 | ||||||
Benchmarks | ||||||
Receivables Turnover, Competitors2 | ||||||
Advanced Micro Devices Inc. | ||||||
Analog Devices Inc. | ||||||
Applied Materials Inc. | ||||||
Broadcom Inc. | ||||||
Intel Corp. | ||||||
KLA Corp. | ||||||
Lam Research Corp. | ||||||
Micron Technology Inc. | ||||||
NVIDIA Corp. | ||||||
Qualcomm Inc. | ||||||
Texas Instruments Inc. | ||||||
Receivables Turnover, Sector | ||||||
Semiconductors & Semiconductor Equipment | ||||||
Receivables Turnover, Industry | ||||||
Information Technology |
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 revenues ÷ Accounts receivable, net of allowances
= ÷ =
2 Click competitor name to see calculations.
- Net Revenues
- The net revenues exhibit a strong upward trajectory from 2019 through 2022, increasing from approximately 624 million USD to over 2.3 billion USD. This represents a nearly fourfold increase over the four-year span, indicating significant growth in the company's sales or operational scale. However, in 2023, net revenues slightly declined to approximately 2.29 billion USD, marking a minor decrease from the previous year. This plateau suggests a potential stabilization or early sign of revenue challenges after several years of rapid expansion.
- Accounts Receivable, Net of Allowances
- Accounts receivable also show a consistent rising pattern throughout the period, increasing from about 145 million USD at the end of 2019 to nearly 446 million USD by the end of 2023. The increase aligns broadly with the growth in net revenues, reflecting larger volumes of credit extended to customers. The rise in receivables is particularly pronounced between 2020 and 2022, consistent with the sharp revenue growth during that timeframe. This may indicate increased sales on credit terms or extended payment periods.
- Receivables Turnover
- The receivables turnover ratio remained relatively stable from 2019 (4.29) through 2021 (4.14), showing a slight decline, which could suggest a slower collection of outstanding receivables relative to sales. However, a notable improvement occurs in 2022 with the ratio increasing to 5.29, indicating a more efficient collection process or shorter payment cycles. In 2023, the ratio slightly decreased to 5.14 but stayed above prior years up to 2021, maintaining relatively strong receivables management.
- Summary
- Overall, the company has demonstrated strong revenue growth, especially from 2019 to 2022, accompanied by a corresponding increase in accounts receivable. Despite the increase in outstanding receivables, the improvement in receivables turnover in the later years suggests enhanced efficiency in collecting payments. The slight revenue decline in 2023, paired with a high but slightly reduced receivables turnover ratio, points to a potential shift in revenue dynamics or market conditions that may merit further monitoring.
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 revenues | ||||||
Accounts payable | ||||||
Short-term Activity Ratio | ||||||
Payables turnover1 | ||||||
Benchmarks | ||||||
Payables Turnover, Competitors2 | ||||||
Advanced Micro Devices Inc. | ||||||
Analog Devices Inc. | ||||||
Applied Materials Inc. | ||||||
Broadcom Inc. | ||||||
Intel Corp. | ||||||
KLA Corp. | ||||||
Lam Research Corp. | ||||||
Micron Technology Inc. | ||||||
NVIDIA Corp. | ||||||
Qualcomm Inc. | ||||||
Texas Instruments Inc. | ||||||
Payables Turnover, Sector | ||||||
Semiconductors & Semiconductor Equipment | ||||||
Payables Turnover, Industry | ||||||
Information Technology |
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 revenues ÷ Accounts payable
= ÷ =
2 Click competitor name to see calculations.
- Cost of Revenues
- The cost of revenues exhibits a significant upward trend over the five-year period. Beginning at approximately $403 million in 2019, it increased steadily to about $428 million in 2020. The rise became more pronounced in 2021, doubling to approximately $828 million, and continued to climb sharply, peaking at around $1.36 billion in 2022. In 2023, there was a slight decline to approximately $1.23 billion, indicating a potential stabilization or adjustment after substantial growth.
- Accounts Payable
- Accounts payable rose consistently from about $57.5 million in 2019 to a peak of approximately $125 million in 2022, more than doubling over this interval. However, in 2023, this figure decreased to roughly $116 million, signaling a reduction in outstanding payables despite the preceding upward momentum.
- Payables Turnover Ratio
- The payables turnover ratio shows variability, initially decreasing from 7.01 in 2019 to 5.9 in 2020, which suggests a slowing rate of payment to suppliers relative to purchases. In 2021, the ratio rebounded to 7.27, followed by a marked increase in 2022 to 10.84, indicating a more rapid payment cycle or increased efficiency in settling payables. This elevated ratio slightly declined to 10.61 in 2023 but remained significantly higher than in earlier years, maintaining the trend of enhanced turnover efficiency.
Working Capital Turnover
Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | ||||||
Current assets | ||||||
Less: Current liabilities | ||||||
Working capital | ||||||
Net revenues | ||||||
Short-term Activity Ratio | ||||||
Working capital turnover1 | ||||||
Benchmarks | ||||||
Working Capital Turnover, Competitors2 | ||||||
Advanced Micro Devices Inc. | ||||||
Analog Devices Inc. | ||||||
Applied Materials Inc. | ||||||
Broadcom Inc. | ||||||
Intel Corp. | ||||||
KLA Corp. | ||||||
Lam Research Corp. | ||||||
Micron Technology Inc. | ||||||
NVIDIA Corp. | ||||||
Qualcomm Inc. | ||||||
Texas Instruments Inc. | ||||||
Working Capital Turnover, Sector | ||||||
Semiconductors & Semiconductor Equipment | ||||||
Working Capital Turnover, Industry | ||||||
Information Technology |
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 revenues ÷ Working capital
= ÷ =
2 Click competitor name to see calculations.
- Working Capital
- There is a clear upward trend in working capital over the five-year period. Starting from $300.3 million in 2019, it increased steadily each year, reaching $1.91 billion in 2023. This represents a growth of more than sixfold, indicating a significant enhancement in the company's short-term liquidity and operational efficiency in managing current assets and liabilities.
- Net Revenues
- Net revenues showed a strong increasing trend from 2019 to 2022, rising from approximately $624.3 million to $2.33 billion. This represents nearly a fourfold increase, reflecting substantial business growth. However, in 2023, revenue slightly declined to $2.29 billion, marking a modest decrease compared to the previous year. Despite this drop, revenues remain significantly higher than earlier periods, suggesting overall expansion but with a potential plateau or market adjustment in the latest year.
- Working Capital Turnover
- The working capital turnover ratio declined noticeably from 2.08 in 2019 to 1.2 in 2023. This downward trend indicates that the company's ability to convert working capital into net revenues has weakened over time. Even though both working capital and revenues have grown substantially, the increase in working capital has outpaced revenue growth, reducing the turnover efficiency. This may suggest either more cautious asset management, increased inventory or receivables, or slower sales relative to working capital investments.
- Summary of Insights
- The company has significantly increased its working capital and revenues over the analyzed period, highlighting expansion and growth. Nevertheless, the decline in working capital turnover ratio suggests a decrease in efficiency in using working capital to generate sales. This could require attention to optimize asset management to maintain or improve operational efficiency as the company scales.
Average Inventory Processing Period
Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
---|---|---|---|---|---|---|
Selected Financial Data | ||||||
Inventory turnover | ||||||
Short-term Activity Ratio (no. days) | ||||||
Average inventory processing period1 | ||||||
Benchmarks (no. days) | ||||||
Average Inventory Processing Period, Competitors2 | ||||||
Advanced Micro Devices Inc. | ||||||
Analog Devices Inc. | ||||||
Applied Materials Inc. | ||||||
Broadcom Inc. | ||||||
Intel Corp. | ||||||
KLA Corp. | ||||||
Lam Research Corp. | ||||||
Micron Technology Inc. | ||||||
NVIDIA Corp. | ||||||
Qualcomm Inc. | ||||||
Texas Instruments Inc. | ||||||
Average Inventory Processing Period, Sector | ||||||
Semiconductors & Semiconductor Equipment | ||||||
Average Inventory Processing Period, Industry | ||||||
Information Technology |
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 Click competitor name to see calculations.
The analysis of the inventory management ratios over the five-year period reveals notable trends and shifts in operational efficiency.
- Inventory Turnover Ratio
- The inventory turnover ratio has shown a consistent decline from 12.57 in 2019 to 5.77 in 2023. This decline indicates a decreasing frequency in which inventory is sold and replaced during the year. The most significant drop is observed between 2022 and 2023, where the ratio fell from 9.06 to 5.77, suggesting potential challenges in inventory management or reduced sales velocity.
- Average Inventory Processing Period
- The average inventory processing period, expressed in days, has increased steadily from 29 days in 2019 to 63 days in 2023. This upward trend signifies that inventory remains in stock longer before being sold or used, which correlates inversely with the declining inventory turnover ratio. The most considerable increase occurred between 2022 and 2023, with days rising from 40 to 63, indicating a growing inefficiency in converting inventory into sales or usage.
In summary, the data points towards a gradual deterioration in inventory management effectiveness. The longer holding period and reduced turnover ratio could imply increased holding costs, risk of obsolescence, or changes in demand patterns. This trend warrants attention to assess underlying causes and implement strategies to enhance inventory turnover and operational efficiency.
Average Receivable Collection Period
Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
---|---|---|---|---|---|---|
Selected Financial Data | ||||||
Receivables turnover | ||||||
Short-term Activity Ratio (no. days) | ||||||
Average receivable collection period1 | ||||||
Benchmarks (no. days) | ||||||
Average Receivable Collection Period, Competitors2 | ||||||
Advanced Micro Devices Inc. | ||||||
Analog Devices Inc. | ||||||
Applied Materials Inc. | ||||||
Broadcom Inc. | ||||||
Intel Corp. | ||||||
KLA Corp. | ||||||
Lam Research Corp. | ||||||
Micron Technology Inc. | ||||||
NVIDIA Corp. | ||||||
Qualcomm Inc. | ||||||
Texas Instruments Inc. | ||||||
Average Receivable Collection Period, Sector | ||||||
Semiconductors & Semiconductor Equipment | ||||||
Average Receivable Collection Period, Industry | ||||||
Information Technology |
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 ÷ =
2 Click competitor name to see calculations.
The receivables turnover ratio demonstrates a notable fluctuation over the five-year period. Initially, it shows a slight decline from 4.29 in 2019 to 4.14 in 2021, indicating a modest decrease in the efficiency of collecting receivables. However, from 2021 onwards, there is a substantial increase to 5.29 in 2022, followed by a slight decrease to 5.14 in 2023. This pattern suggests an overall improvement in the company's ability to convert receivables into cash more rapidly during the latter years.
The average receivable collection period aligns inversely with the receivables turnover ratio, providing a complementary perspective. There is a gradual increase in the number of days from 85 in 2019 to 88 in 2021, reflecting longer collection periods and a potential slowdown in cash inflow from receivables. Subsequently, there is a marked reduction to 69 days in 2022 and a minor increase to 71 days in 2023. The shorter collection periods in the last two years correspond with the enhanced turnover ratio, indicating an overall improvement in credit and collections management.
- Receivables Turnover Ratio
- Decreased slightly from 4.29 in 2019 to 4.14 in 2021, then increased significantly to 5.29 in 2022, with a slight decrease to 5.14 in 2023.
- Average Receivable Collection Period
- Increased from 85 days in 2019 to 88 days in 2021, followed by a notable decrease to 69 days in 2022 and a small rise to 71 days in 2023.
- Interpretation
- The trends suggest a period of declining efficiency in receivables management up to 2021, succeeded by improved collection practices in the subsequent years, resulting in faster cash conversion cycles.
Operating Cycle
Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
---|---|---|---|---|---|---|
Selected Financial Data | ||||||
Average inventory processing period | ||||||
Average receivable collection period | ||||||
Short-term Activity Ratio | ||||||
Operating cycle1 | ||||||
Benchmarks | ||||||
Operating Cycle, Competitors2 | ||||||
Advanced Micro Devices Inc. | ||||||
Analog Devices Inc. | ||||||
Applied Materials Inc. | ||||||
Broadcom Inc. | ||||||
Intel Corp. | ||||||
KLA Corp. | ||||||
Lam Research Corp. | ||||||
Micron Technology Inc. | ||||||
NVIDIA Corp. | ||||||
Qualcomm Inc. | ||||||
Texas Instruments Inc. | ||||||
Operating Cycle, Sector | ||||||
Semiconductors & Semiconductor Equipment | ||||||
Operating Cycle, Industry | ||||||
Information Technology |
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
= + =
2 Click competitor name to see calculations.
- Average Inventory Processing Period
- There is a noticeable upward trend in the average inventory processing period over the years. Starting at 29 days in 2019, it increased to 36 days in 2020, slightly decreased to 33 days in 2021, then rose again to 40 days in 2022, and sharply increased to 63 days in 2023. This indicates that the time taken to process inventory has lengthened significantly, especially in the most recent year, which may suggest challenges in inventory management or changes in supply chain dynamics.
- Average Receivable Collection Period
- The average receivable collection period remained relatively stable from 2019 to 2021, fluctuating only slightly between 85 and 88 days. However, there was a marked improvement in 2022 when the period shortened to 69 days, followed by a slight increase to 71 days in 2023. This reduction in 2022 reflects a faster collection of receivables, which may positively influence cash flow management, although the slight increase in 2023 suggests a modest reversal of this improvement.
- Operating Cycle
- The operating cycle showed a general fluctuation over the observed period. It started at 114 days in 2019, increased to 122 days in 2020, and remained almost steady at 121 days in 2021. In 2022, the cycle shortened significantly to 109 days, indicating greater operational efficiency. However, in 2023, the cycle extended to 134 days, representing the longest period in the data set. This extension is primarily influenced by the substantial rise in the inventory processing period, which outweighs the improvements in receivable collection.
Average Payables Payment Period
Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
---|---|---|---|---|---|---|
Selected Financial Data | ||||||
Payables turnover | ||||||
Short-term Activity Ratio (no. days) | ||||||
Average payables payment period1 | ||||||
Benchmarks (no. days) | ||||||
Average Payables Payment Period, Competitors2 | ||||||
Advanced Micro Devices Inc. | ||||||
Analog Devices Inc. | ||||||
Applied Materials Inc. | ||||||
Broadcom Inc. | ||||||
Intel Corp. | ||||||
KLA Corp. | ||||||
Lam Research Corp. | ||||||
Micron Technology Inc. | ||||||
NVIDIA Corp. | ||||||
Qualcomm Inc. | ||||||
Texas Instruments Inc. | ||||||
Average Payables Payment Period, Sector | ||||||
Semiconductors & Semiconductor Equipment | ||||||
Average Payables Payment Period, Industry | ||||||
Information Technology |
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 ÷ =
2 Click competitor name to see calculations.
The analysis of the payables-related metrics over the five-year period reveals discernible changes in the company's management of its accounts payable.
- Payables Turnover
- The payables turnover ratio experienced a decline from 7.01 in 2019 to 5.9 in 2020, indicating a slower rate of payments to suppliers during that year. However, this ratio rebounded in 2021 to 7.27 and then increased significantly in 2022 to 10.84, showing a marked acceleration in payables turnover. The ratio slightly decreased to 10.61 in 2023 but remained substantially higher than in prior years, suggesting improved efficiency in settling obligations with suppliers.
- Average Payables Payment Period
- The average payment period inversely mirrors the payables turnover trend. In 2019, the company took 52 days on average to pay its suppliers, which increased to 62 days in 2020, corroborating a slower payment process consistent with the reduced payables turnover ratio that year. There was a significant reduction from 2021 onward, with the payment period dropping to 50 days in 2021, followed by a steep decline to 34 days by 2022, a level that was maintained in 2023. This shorter payment period further confirms the company's enhanced efficiency in managing its payables in the recent years.
Overall, the data indicate that the company adjusted its payables management strategy around 2020, initially extending its payment periods but subsequently accelerating payments significantly. The shorter payment periods and higher turnover ratios from 2021 onwards reflect a deliberate improvement in payables management, likely aimed at strengthening supplier relationships or optimizing working capital use.
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 | ||||||
Average receivable collection period | ||||||
Average payables payment period | ||||||
Short-term Activity Ratio | ||||||
Cash conversion cycle1 | ||||||
Benchmarks | ||||||
Cash Conversion Cycle, Competitors2 | ||||||
Advanced Micro Devices Inc. | ||||||
Analog Devices Inc. | ||||||
Applied Materials Inc. | ||||||
Broadcom Inc. | ||||||
Intel Corp. | ||||||
KLA Corp. | ||||||
Lam Research Corp. | ||||||
Micron Technology Inc. | ||||||
NVIDIA Corp. | ||||||
Qualcomm Inc. | ||||||
Texas Instruments Inc. | ||||||
Cash Conversion Cycle, Sector | ||||||
Semiconductors & Semiconductor Equipment | ||||||
Cash Conversion Cycle, Industry | ||||||
Information Technology |
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
= + – =
2 Click competitor name to see calculations.
- Average Inventory Processing Period
- The average inventory processing period shows a general increasing trend over the five-year span. Starting at 29 days in 2019, it rose to 36 days in 2020, dipped slightly to 33 days in 2021, then increased notably to 40 days in 2022. The most significant jump occurred in 2023, reaching 63 days, indicating a longer time to process inventory.
- Average Receivable Collection Period
- The average receivable collection period remained relatively stable from 2019 through 2021, with values between 85 and 88 days. In 2022, it decreased substantially to 69 days and slightly increased to 71 days in 2023. This suggests an improvement in collection efficiency starting in 2022.
- Average Payables Payment Period
- The average payables payment period exhibits a declining trend from 2019 to 2023. Beginning at 52 days in 2019, it increased to a peak of 62 days in 2020 but then fell sharply to 50 days in 2021 and further down to 34 days in both 2022 and 2023. This indicates quicker payments to suppliers over the recent years.
- Cash Conversion Cycle
- The cash conversion cycle, which reflects the net time between outlay of cash and cash recovery, shows an overall upward trend. It started at 62 days in 2019, slightly decreased to 60 days in 2020, then increased to 71 days in 2021, 75 days in 2022, and surged to 100 days in 2023. This pattern suggests a lengthening of the cash conversion period, influenced primarily by the increased inventory processing time despite the improvement in receivable collections and faster payables payments.