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 between 2019 and 2023 reveals a significant elongation of the cash conversion cycle, primarily driven by a marked deterioration in inventory management efficiency and a shift in supplier payment strategies.
- Inventory Management
- A pronounced downward trend is observed in inventory turnover, which decreased from 12.57 in 2019 to 5.77 in 2023. This decline is reflected in the average inventory processing period, which rose from 29 days to 63 days. The data indicates that goods are remaining in inventory for more than twice as long as they were at the start of the period, suggesting a potential buildup of unsold stock or a slowdown in demand relative to production.
- Receivables and Collection Performance
- Receivables turnover remained relatively stable from 2019 through 2021, followed by a slight improvement in 2022 and 2023. Correspondingly, the average receivable collection period showed an improvement, decreasing from a peak of 88 days in 2021 to 71 days by the end of 2023. This suggests more efficient credit collection processes or a shift toward more stringent payment terms with customers.
- Payables and Supplier Obligations
- Payables turnover increased from 7.01 in 2019 to 10.61 in 2023, indicating a more rapid turnover of accounts payable. This is corroborated by the average payables payment period, which contracted from 52 days in 2019 to 34 days in 2022 and 2023. The trend demonstrates that supplier obligations are being settled more quickly, reducing the amount of interest-free financing provided by vendors.
- Working Capital and Cash Cycle
- Working capital turnover exhibited a general decline, falling from 2.08 in 2019 to 1.20 in 2023, pointing to a decrease in the efficiency with which working capital is utilized to generate revenue. The operating cycle peaked in 2023 at 134 days, largely due to the inventory slowdown. Consequently, the cash conversion cycle expanded significantly from 62 days in 2019 to 100 days in 2023, indicating a greater amount of capital is tied up in operations for a longer duration.
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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 revenues | 1,232,398) | 1,356,258) | 827,627) | 428,444) | 403,088) | |
| Inventory | 213,595) | 149,708) | 74,400) | 41,764) | 32,056) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 5.77 | 9.06 | 11.12 | 10.26 | 12.57 | |
| 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 | 2.65 | — | |
| 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 revenues ÷ Inventory
= 1,232,398 ÷ 213,595 = 5.77
2 Click competitor name to see calculations.
Between 2019 and 2023, a consistent decline in inventory management efficiency is evident, as the inventory turnover ratio decreased from 12.57 to 5.77. While the company experienced significant operational expansion, the rate of inventory accumulation accelerated at a pace that outstripped the growth of the cost of revenues, culminating in a sharp reduction in turnover velocity by the end of the period.
- Cost of Revenues Trend
- The cost of revenues demonstrated substantial growth from 2019 to 2022, rising from 403.1 million to a peak of 1.36 billion. This upward trajectory shifted in 2023, with a decrease to 1.23 billion, indicating a reduction in the volume of products sold or a decrease in the associated costs of goods sold during the final year of the analysis.
- Inventory Accumulation
- Inventory levels exhibited uninterrupted growth throughout the analyzed period. From a baseline of 32.1 million in 2019, inventory increased to 213.6 million by 2023. Notably, inventory continued to rise sharply in 2023 despite the contraction in the cost of revenues, suggesting an aggressive buildup of stock that was not matched by sales performance.
- Inventory Turnover Performance
- The inventory turnover ratio followed a general downward trend, falling from 12.57 in 2019 to 5.77 in 2023. Although a marginal improvement occurred in 2021, the ratio entered a period of rapid decline thereafter. The drop from 9.06 in 2022 to 5.77 in 2023 represents the most significant efficiency loss in the dataset, signaling that the company is cycling through its inventory much more slowly.
The widening gap between inventory levels and the cost of revenues suggests a misalignment between supply chain procurement and market demand. The current trajectory indicates a transition from a highly lean inventory model toward a state of overstocking, which increases the risk of inventory obsolescence and elevates carrying costs.
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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 revenues | 2,290,786) | 2,330,853) | 1,382,049) | 774,425) | 624,333) | |
| Accounts receivable, net of allowances | 445,959) | 440,896) | 333,626) | 182,165) | 145,413) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 5.14 | 5.29 | 4.14 | 4.25 | 4.29 | |
| 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 | 6.13 | — | |
| 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 revenues ÷ Accounts receivable, net of allowances
= 2,290,786 ÷ 445,959 = 5.14
2 Click competitor name to see calculations.
An analysis of the short-term operating activity reveals a period of significant scaling in revenue accompanied by a corresponding increase in accounts receivable. While the growth in receivables initially mirrored the expansion of net revenues, the efficiency of credit collection improved notably in the latter part of the observed period.
- Revenue and Receivables Correlation
- Net revenues experienced substantial growth from 2019 through 2022, rising from 624,333 thousand US$ to a peak of 2,330,853 thousand US$. During this same interval, accounts receivable, net of allowances, grew from 145,413 thousand US$ to 440,896 thousand US$. The consistent increase in receivables is commensurate with the expansion of the revenue base, though a slight contraction in revenue occurred in 2023, where net revenues shifted to 2,290,786 thousand US$ while receivables remained relatively stagnant at 445,959 thousand US$.
- Receivables Turnover Performance
- The receivables turnover ratio remained relatively stable between 2019 and 2021, fluctuating slightly from 4.29 to 4.14. A significant improvement in efficiency was observed in 2022, with the ratio increasing to 5.29, indicating a faster conversion of receivables into cash. This efficiency level was largely maintained into 2023, with a marginal decline to 5.14.
- Operational Insights
- The transition from a turnover ratio of approximately 4.1–4.3 in the early period to above 5.1 in the final two years suggests an optimization of credit management policies or a shift in the customer payment profile. Despite the slight dip in revenue in 2023, the ability to maintain a higher turnover ratio compared to the 2019–2021 baseline indicates improved working capital management and reduced liquidity risk associated with outstanding receivables.
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Payables Turnover
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of revenues | 1,232,398) | 1,356,258) | 827,627) | 428,444) | 403,088) | |
| Accounts payable | 116,164) | 125,085) | 113,767) | 72,609) | 57,474) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 10.61 | 10.84 | 7.27 | 5.90 | 7.01 | |
| 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 | 6.79 | — | |
| 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 revenues ÷ Accounts payable
= 1,232,398 ÷ 116,164 = 10.61
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a period of significant scaling in operational costs between 2019 and 2022, followed by a slight contraction in 2023. Cost of revenues increased substantially from $403.1 million in 2019 to a peak of $1.36 billion in 2022, indicating a rapid expansion in the volume of materials and services procured to support growth.
- Payables Turnover Volatility and Acceleration
- The payables turnover ratio experienced an initial dip from 7.01 in 2019 to 5.90 in 2020, suggesting a temporary slowing of payments to suppliers. However, a strong upward trend emerged thereafter, with the ratio climbing to 7.27 in 2021 and surging to 10.84 in 2022. This acceleration indicates that the company significantly increased the frequency with which it settled its short-term obligations to vendors.
- Relationship Between Payables and Cost of Revenues
- While accounts payable grew from $57.5 million in 2019 to $125.1 million in 2022, this growth was outpaced by the increase in the cost of revenues. The widening gap between the growth of operational costs and the growth of the payables balance is the primary driver behind the increased turnover ratio. This suggests a shift toward a more aggressive payment schedule or a reduction in the credit terms extended by suppliers during the period of rapid growth.
- Recent Stabilization Patterns
- A trend of stabilization is observed in the 2023 fiscal year. Both the cost of revenues and accounts payable saw modest declines, with the cost of revenues falling to $1.23 billion and accounts payable to $116.2 million. The payables turnover ratio remained nearly flat at 10.61, demonstrating that the company has maintained a consistent and accelerated payment cadence compared to the 2019-2021 baseline.
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Working Capital Turnover
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Current assets | 2,443,518) | 2,264,271) | 1,462,461) | 933,064) | 499,657) | |
| Less: Current liabilities | 532,449) | 638,219) | 439,796) | 534,043) | 199,311) | |
| Working capital | 1,911,069) | 1,626,052) | 1,022,665) | 399,021) | 300,346) | |
| Net revenues | 2,290,786) | 2,330,853) | 1,382,049) | 774,425) | 624,333) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | 1.20 | 1.43 | 1.35 | 1.94 | 2.08 | |
| 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 | 1.89 | — | |
| 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 revenues ÷ Working capital
= 2,290,786 ÷ 1,911,069 = 1.20
2 Click competitor name to see calculations.
An analysis of short-term operating activity from 2019 to 2023 reveals a substantial expansion in the working capital base that has outpaced net revenue growth, resulting in a general decline in the working capital turnover ratio.
- Working Capital Trends
- A consistent and aggressive increase in working capital is observed, rising from 300,346 thousand USD in 2019 to 1,911,069 thousand USD by the end of 2023. The most significant acceleration occurred between 2020 and 2021, where the value increased by approximately 156%, indicating a substantial accumulation of current assets relative to current liabilities.
- Net Revenue Performance
- Net revenues exhibited strong growth for the majority of the period, climbing from 624,333 thousand USD in 2019 to a peak of 2,330,853 thousand USD in 2022. However, a slight reversal occurred in 2023, with revenues decreasing to 2,290,786 thousand USD, marking a transition from a high-growth phase to a period of stabilization or slight contraction.
- Working Capital Turnover Analysis
- The working capital turnover ratio shows a downward trend, decreasing from 2.08 in 2019 to 1.20 in 2023. Although a marginal recovery to 1.43 was noted in 2022, the overall trajectory indicates a reduction in the efficiency with which working capital is deployed to generate sales. The decline to 1.20 in 2023 is attributed to the combination of a continuing increase in working capital and a simultaneous dip in net revenues, suggesting a potential buildup of inefficient short-term assets.
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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 | 5.77 | 9.06 | 11.12 | 10.26 | 12.57 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 63 | 40 | 33 | 36 | 29 | |
| 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 | 138 | — | |
| 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 ÷ 5.77 = 63
2 Click competitor name to see calculations.
An analysis of short-term activity ratios reveals a consistent decline in inventory management efficiency over the five-year period from 2019 to 2023. There is a clear inverse correlation between the turnover ratio and the processing period, indicating that inventory is remaining in stock for progressively longer durations.
- Inventory Turnover Ratio
- A significant downward trend is observed in the inventory turnover ratio, which fell from 12.57 in 2019 to 5.77 in 2023. Although a slight recovery was noted in 2021 with a rise to 11.12, the subsequent years showed a sharp decline. The drop from 9.06 in 2022 to 5.77 in 2023 represents the most substantial annual decrease, suggesting a marked reduction in the frequency with which inventory is sold and replaced.
- Average Inventory Processing Period
- The average inventory processing period exhibits a corresponding upward trend, increasing from 29 days in 2019 to 63 days by the end of 2023. The processing time remained relatively stable between 33 and 40 days from 2020 to 2022; however, a sharp acceleration occurred in 2023, where the period extended to 63 days. This indicates that the time required to move inventory through the operating cycle has more than doubled since 2019.
The convergence of these trends suggests a deterioration in asset liquidity regarding inventory. The acceleration of the processing period in 2023, coupled with the lowest recorded turnover ratio in the period analyzed, indicates a potential accumulation of excess stock or a slowing of sales velocity relative to inventory levels.
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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 | 5.14 | 5.29 | 4.14 | 4.25 | 4.29 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 71 | 69 | 88 | 86 | 85 | |
| 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 | 59 | — | |
| 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 ÷ 5.14 = 71
2 Click competitor name to see calculations.
An analysis of the short-term operating activity reveals a distinct shift in credit management efficiency between 2019 and 2023. The period is characterized by an initial phase of relative stagnation in collection speed, followed by a significant optimization of the receivables cycle beginning in 2022.
- Receivables Turnover
- Between 2019 and 2021, the receivables turnover ratio remained relatively flat, experiencing a slight decline from 4.29 to 4.14. A notable improvement occurred in 2022, where the ratio increased to 5.29, indicating a more rapid conversion of accounts receivable into cash. This efficiency was largely maintained in 2023, with a marginal decrease to 5.14.
- Average Receivable Collection Period
- The collection period showed a gradual upward trend during the first three years, rising from 85 days in 2019 to a peak of 88 days in 2021. This trend reversed sharply in 2022, with the collection period dropping to 69 days, a reduction of 19 days compared to the previous year. In 2023, the period increased slightly to 71 days, yet it remains significantly lower than the levels observed from 2019 through 2021.
The inverse correlation between the turnover ratio and the collection period confirms a systemic improvement in the company's ability to collect outstanding payments. The transition from a collection cycle averaging approximately 86 days (2019-2021) to one averaging 70 days (2022-2023) suggests a more effective credit policy or a shift in customer payment behavior.
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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 | 63 | 40 | 33 | 36 | 29 | |
| Average receivable collection period | 71 | 69 | 88 | 86 | 85 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 134 | 109 | 121 | 122 | 114 | |
| 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 | 197 | — | |
| 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
= 63 + 71 = 134
2 Click competitor name to see calculations.
The operating efficiency of Enphase Energy Inc. between 2019 and 2023 is characterized by a significant divergence between inventory management and receivable collection performance, resulting in an overall extension of the operating cycle by the end of the period.
- Average Inventory Processing Period
- A consistent upward trend is observed in the time required to process inventory. While the period remained relatively stable between 29 and 40 days from 2019 to 2022, there was a substantial increase to 63 days in 2023. This represents a significant extension of the inventory holding phase, suggesting a slowdown in inventory turnover or a strategic accumulation of stock.
- Average Receivable Collection Period
- The collection of receivables exhibited stability between 85 and 88 days from 2019 through 2021. A notable improvement occurred in 2022, where the period dropped to 69 days, and remained relatively constant at 71 days in 2023. This indicates an increase in efficiency regarding the conversion of accounts receivable into cash.
- Operating Cycle
- The total operating cycle experienced fluctuation, peaking at 122 days in 2020 before declining to a five-year low of 109 days in 2022. However, in 2023, the cycle expanded sharply to 134 days. This expansion is primarily attributable to the surge in the inventory processing period, which more than offset the gains achieved through faster receivable collection.
Overall, the analysis indicates that while the organization has successfully optimized its credit collection process, the significant increase in inventory holding time has weakened the total operating cycle, increasing the total timeframe required to convert current assets into cash.
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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 | 10.61 | 10.84 | 7.27 | 5.90 | 7.01 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 34 | 34 | 50 | 62 | 52 | |
| 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 | 54 | — | |
| 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 ÷ 10.61 = 34
2 Click competitor name to see calculations.
An analysis of the operating activity ratios indicates a significant acceleration in the settlement of obligations to suppliers over the observed five-year period. The general trajectory reflects a transition toward a more aggressive payment schedule, characterized by higher turnover rates and a markedly reduced payment window.
- Payables Turnover
- The turnover ratio exhibited an overall upward trend, rising from 7.01 in 2019 to 10.61 by 2023. Although a temporary decline to 5.90 was recorded in 2020, a sharp increase followed, peaking at 10.84 in 2022. This upward movement signifies that liabilities to suppliers are being settled more frequently throughout the fiscal year.
- Average Payables Payment Period
- The duration required to settle payables experienced a notable contraction. After reaching a maximum of 62 days in 2020, the payment period declined to 50 days in 2021 and further decreased to 34 days in 2022. This figure remained stable at 34 days in 2023, representing a substantial reduction in the time elapsed before supplier payments are finalized compared to the 2019 baseline of 52 days.
The inverse relationship between the increasing turnover ratio and the decreasing payment period suggests an improvement in liquidity or a strategic shift in supplier relationship management. The stabilization of the payment period at 34 days during the final two years of the period indicates the establishment of a new, shorter operational norm for managing 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 | 63 | 40 | 33 | 36 | 29 | |
| Average receivable collection period | 71 | 69 | 88 | 86 | 85 | |
| Average payables payment period | 34 | 34 | 50 | 62 | 52 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | 100 | 75 | 71 | 60 | 62 | |
| 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 | 143 | — | |
| 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
= 63 + 71 – 34 = 100
2 Click competitor name to see calculations.
The cash conversion cycle exhibits a general upward trajectory, increasing from 62 days in 2019 to 100 days by the end of 2023. This expansion indicates a lengthening of the time required to convert resource inputs into cash flows from sales, suggesting a decline in short-term operating liquidity efficiency over the analyzed five-year period.
- Average Inventory Processing Period
- A consistent increase is observed in the duration of inventory holding, rising from 29 days in 2019 to 63 days in 2023. The most significant acceleration occurred between 2022 and 2023, where the period expanded by 23 days, indicating a substantial buildup of stock or a slowing of sales velocity.
- Average Receivable Collection Period
- Collection efficiency remained relatively static between 2019 and 2021, fluctuating between 85 and 88 days. However, a notable improvement occurred in 2022, with the period dropping to 69 days and stabilizing at 71 days in 2023, reflecting an enhanced ability to recover outstanding receivables.
- Average Payables Payment Period
- A downward trend is evident in the time taken to settle obligations with suppliers. After peaking at 62 days in 2020, the period decreased to 34 days by 2022 and remained constant through 2023. This reduction indicates a shorter window of supplier-provided financing, which exerts additional pressure on the overall cash conversion cycle.
The aggregate result of these operating shifts is a significant extension of the cash conversion cycle, particularly in the final year. While the improvement in receivable collection periods provided a partial offset, it was insufficient to counteract the combined impact of increased inventory dwell time and the accelerated payment of accounts payable.
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