Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Short-term Activity Ratios (Summary)
Based on: 10-K (reporting date: 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 operational activity ratios demonstrate a period of relative stability with minor fluctuations in efficiency between 2019 and 2023. While specific components of the operating cycle have shifted, the overall cash conversion cycle has remained consistent, indicating a balanced management of short-term assets and liabilities.
- Inventory and Receivables Management
- Inventory turnover exhibits a slight downward trend, declining from 4.28 in 2019 to 3.91 in 2023. This is mirrored in the average inventory processing period, which lengthened from 85 to 93 days over the five-year period. Receivables turnover remained relatively stable; the average collection period experienced a temporary increase to 83 days in 2020 before improving and stabilizing at 76 days in 2022 and 2023.
- Payables and Working Capital Efficiency
- Payables turnover showed notable volatility, reaching a low of 5.30 in 2020 before recovering to 6.27 in 2023. Consequently, the average payables payment period peaked at 69 days in 2020 but returned to a baseline of 58 days by 2023. Working capital turnover experienced a significant contraction in 2020, dropping to 2.70, but has since maintained a steady recovery trend, reaching 3.41 by the end of 2023.
- Operating and Cash Conversion Cycles
- The operating cycle peaked in 2021 at 174 days before moderating to 169 days in 2023. Despite these fluctuations in the operating cycle and the payables payment period, the cash conversion cycle remained remarkably steady, moving from 106 days in 2019 to 111 days in 2023. This suggest that increases in the time required to process inventory and collect receivables were effectively offset by the management of supplier payment terms.
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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 sales | 8,470,600) | 8,594,800) | 7,474,500) | 5,934,800) | 5,609,400) | |
| Inventories | 2,167,100) | 2,093,600) | 1,894,100) | 1,462,200) | 1,310,100) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 3.91 | 4.11 | 3.95 | 4.06 | 4.28 | |
| Benchmarks | ||||||
| Inventory Turnover, Competitors2 | ||||||
| Apple Inc. | 33.82 | 45.20 | 32.37 | 41.75 | — | |
| Arista Networks Inc. | 1.15 | 1.32 | 1.64 | — | — | |
| Cisco Systems Inc. | 5.83 | 7.52 | 11.50 | — | — | |
| Dell Technologies Inc. | 16.67 | 13.45 | 19.05 | — | — | |
| Lumentum Holdings Inc. | 2.73 | 3.44 | 4.57 | — | — | |
| Super Micro Computer Inc. | 4.04 | 2.84 | 2.90 | — | — | |
| Inventory Turnover, Sector | ||||||
| Technology Hardware & Equipment | 17.48 | 19.95 | 22.39 | — | — | |
| 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
= 8,470,600 ÷ 2,167,100 = 3.91
2 Click competitor name to see calculations.
The analysis of short-term operating activity from 2019 to 2023 reveals a general expansion in inventory holdings and a corresponding increase in the cost of sales, though the rate of inventory growth has largely exceeded the rate of sales growth over the period.
- Inventory Turnover Trends
- The inventory turnover ratio exhibits a general downward trajectory, decreasing from 4.28 in 2019 to 3.91 in 2023. A temporary recovery to 4.11 was observed in 2022; however, the ratio declined to its lowest point in the five-year sequence by the end of 2023, suggesting a reduction in the efficiency of inventory cycling.
- Cost of Sales Dynamics
- Cost of sales grew steadily from US$ 5,609,400 thousand in 2019 to a peak of US$ 8,594,800 thousand in 2022. A slight contraction occurred in 2023, with the value settling at US$ 8,470,600 thousand. The overall growth in cost of sales indicates significant scaling of operations until the slight dip in the final year.
- Inventory Level Expansion
- Inventories showed consistent annual growth throughout the period, rising from US$ 1,310,100 thousand in 2019 to US$ 2,167,100 thousand in 2023. This represents a cumulative increase of approximately 65%, which outpaced the growth of the cost of sales, thereby contributing to the decline in the turnover ratio.
- Operational Efficiency Insights
- The divergence between the acceleration of inventory accumulation and the growth of the cost of sales indicates that goods are remaining in inventory for longer durations. The decline in the turnover ratio to 3.91 in 2023, occurring alongside a decrease in the cost of sales, suggests an increase in carrying costs and potential inefficiencies in aligning stock levels with actual demand.
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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 | 12,554,700) | 12,623,000) | 10,876,300) | 8,598,900) | 8,225,400) | |
| Accounts receivable, less allowance for doubtful accounts | 2,618,400) | 2,631,300) | 2,454,800) | 1,951,600) | 1,736,400) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 4.79 | 4.80 | 4.43 | 4.41 | 4.74 | |
| Benchmarks | ||||||
| Receivables Turnover, Competitors2 | ||||||
| Apple Inc. | 12.99 | 13.99 | 13.92 | 17.03 | — | |
| Arista Networks Inc. | 5.72 | 4.75 | 5.71 | — | — | |
| Cisco Systems Inc. | 9.74 | 7.79 | 8.64 | — | — | |
| Dell Technologies Inc. | 8.20 | 7.84 | 7.37 | — | — | |
| Lumentum Holdings Inc. | 7.18 | 6.54 | 8.19 | — | — | |
| Super Micro Computer Inc. | 6.20 | 6.23 | 7.67 | — | — | |
| Receivables Turnover, Sector | ||||||
| Technology Hardware & Equipment | 11.09 | 11.23 | 11.26 | — | — | |
| 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, less allowance for doubtful accounts
= 12,554,700 ÷ 2,618,400 = 4.79
2 Click competitor name to see calculations.
The analysis of operating activity from 2019 to 2023 reveals a period of significant revenue expansion paired with a highly stable credit collection efficiency. While both net sales and accounts receivable increased substantially over the five-year period, the proportionality between the two remained consistent, indicating that the company scaled its operations without compromising its receivables management processes.
- Net Sales Trend
- A strong upward trajectory in net sales is observed from 2019 through 2022, with revenue increasing from $8.23 billion to a peak of $12.62 billion. This growth was most pronounced between 2020 and 2022. A slight contraction occurred in 2023, with sales settling at $12.55 billion, suggesting a period of stabilization following rapid growth.
- Accounts Receivable Growth
- Accounts receivable, net of allowances, grew in tandem with sales, rising from $1.74 billion in 2019 to $2.62 billion by 2023. The increase in outstanding receivables mirrors the growth in sales volume, suggesting that credit terms offered to customers remained relatively constant throughout the observed period.
- Receivables Turnover Stability
- The receivables turnover ratio demonstrates remarkable stability, fluctuating within a narrow range between 4.41 and 4.80. After a slight decline from 4.74 in 2019 to 4.41 in 2020, the ratio recovered to 4.80 by 2022 and remained nearly flat at 4.79 in 2023. This consistency indicates that the average time required to collect payments has remained steady despite the substantial increase in the company's scale of operations.
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Payables Turnover
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of sales | 8,470,600) | 8,594,800) | 7,474,500) | 5,934,800) | 5,609,400) | |
| Accounts payable | 1,350,900) | 1,309,100) | 1,312,000) | 1,120,700) | 866,800) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 6.27 | 6.57 | 5.70 | 5.30 | 6.47 | |
| Benchmarks | ||||||
| Payables Turnover, Competitors2 | ||||||
| Apple Inc. | 3.42 | 3.49 | 3.89 | 4.01 | — | |
| Arista Networks Inc. | 5.13 | 7.33 | 5.27 | — | — | |
| Cisco Systems Inc. | 9.19 | 8.47 | 7.59 | — | — | |
| Dell Technologies Inc. | 4.28 | 2.92 | 2.99 | — | — | |
| Lumentum Holdings Inc. | 6.57 | 5.50 | 7.68 | — | — | |
| Super Micro Computer Inc. | 7.52 | 6.71 | 4.94 | — | — | |
| Payables Turnover, Sector | ||||||
| Technology Hardware & Equipment | 3.82 | 3.48 | 3.77 | — | — | |
| 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
= 8,470,600 ÷ 1,350,900 = 6.27
2 Click competitor name to see calculations.
The analysis of operating activity between 2019 and 2023 reveals a period of expansion in procurement costs followed by a phase of stabilization. Cost of sales grew steadily from 2019 through 2022, peaking at $8.59 billion, before experiencing a marginal decline in 2023. This growth was accompanied by a corresponding increase in accounts payable, which rose from $866.8 million in 2019 to $1.35 billion by 2023.
- Payables Turnover Volatility
- The turnover ratio experienced a notable decline from 6.47 in 2019 to a low of 5.30 in 2020. This indicates a period where payables were settled more slowly, suggesting either an increase in credit terms granted by suppliers or a strategic decision to conserve cash flow during that fiscal year.
- Recovery and Efficiency Trends
- A recovery trend is observed from 2021 through 2022, with the ratio increasing to 5.70 and 6.57, respectively. This indicates an acceleration in the payment cycle and a return to the efficiency levels observed at the beginning of the period. The ratio concluded at 6.27 in 2023, representing a stabilization near the 2019 baseline.
- Interdependence of Cost of Sales and Obligations
- While both cost of sales and accounts payable trended upward from 2019 to 2021, a divergence occurred in 2022. During this year, cost of sales increased significantly while accounts payable remained nearly stagnant, which directly contributed to the peak turnover ratio of 6.57. The subsequent slight decrease in the ratio in 2023 coincided with a marginal reduction in cost of sales and a slight increase in total payables.
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Working Capital Turnover
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Current assets | 6,835,300) | 6,479,100) | 5,958,200) | 5,490,800) | 4,211,200) | |
| Less: Current liabilities | 3,152,700) | 2,676,100) | 2,447,100) | 2,304,300) | 2,132,700) | |
| Working capital | 3,682,600) | 3,803,000) | 3,511,100) | 3,186,500) | 2,078,500) | |
| Net sales | 12,554,700) | 12,623,000) | 10,876,300) | 8,598,900) | 8,225,400) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | 3.41 | 3.32 | 3.10 | 2.70 | 3.96 | |
| Benchmarks | ||||||
| Working Capital Turnover, Competitors2 | ||||||
| Apple Inc. | — | — | 39.10 | 7.16 | — | |
| Arista Networks Inc. | 0.90 | 1.03 | 0.80 | — | — | |
| Cisco Systems Inc. | 4.73 | 4.65 | 3.88 | — | — | |
| Dell Technologies Inc. | — | — | — | — | — | |
| Lumentum Holdings Inc. | 0.82 | 0.71 | 0.98 | — | — | |
| Super Micro Computer Inc. | 3.95 | 3.89 | 3.96 | — | — | |
| Working Capital Turnover, Sector | ||||||
| Technology Hardware & Equipment | 48.79 | — | 28.75 | — | — | |
| 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
= 12,554,700 ÷ 3,682,600 = 3.41
2 Click competitor name to see calculations.
An analysis of short-term operating activity reveals a period of significant expansion in both working capital and net sales between 2019 and 2023, characterized by an initial decline in asset utilization efficiency followed by a steady recovery.
- Working Capital Trends
- Working capital grew consistently from US$ 2,078,500 thousand in 2019 to a peak of US$ 3,803,000 thousand in 2022. This upward trajectory indicates a substantial increase in the net current assets deployed to support the company's operational requirements. A slight contraction was observed in 2023, where the balance decreased to US$ 3,682,600 thousand.
- Net Sales Performance
- Net sales demonstrated strong growth, increasing from US$ 8,225,400 thousand in 2019 to a peak of US$ 12,623,000 thousand in 2022. This growth reflects a significant expansion in revenue generation over a four-year period, although 2023 saw a marginal decline to US$ 12,554,700 thousand, suggesting a stabilization of top-line performance.
- Working Capital Turnover Dynamics
- The working capital turnover ratio experienced a sharp decrease from 3.96 in 2019 to 2.70 in 2020, signifying that the increase in working capital significantly outpaced revenue growth during that interval. From 2021 through 2023, a consistent recovery trend is observed, with the ratio rising to 3.10, 3.32, and finally 3.41. This trend indicates an improving ability to generate sales relative to the investment in working capital, reflecting enhanced operational efficiency in the latter half of the analyzed period.
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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 | 3.91 | 4.11 | 3.95 | 4.06 | 4.28 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 93 | 89 | 92 | 90 | 85 | |
| Benchmarks (no. days) | ||||||
| Average Inventory Processing Period, Competitors2 | ||||||
| Apple Inc. | 11 | 8 | 11 | 9 | — | |
| Arista Networks Inc. | 318 | 276 | 222 | — | — | |
| Cisco Systems Inc. | 63 | 49 | 32 | — | — | |
| Dell Technologies Inc. | 22 | 27 | 19 | — | — | |
| Lumentum Holdings Inc. | 134 | 106 | 80 | — | — | |
| Super Micro Computer Inc. | 90 | 128 | 126 | — | — | |
| Average Inventory Processing Period, Sector | ||||||
| Technology Hardware & Equipment | 21 | 18 | 16 | — | — | |
| 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 ÷ 3.91 = 93
2 Click competitor name to see calculations.
The operational efficiency of inventory management between 2019 and 2023 demonstrates a general trend toward slower inventory movement and an increase in the time required to process goods.
- Inventory Turnover
- A gradual decline in the turnover ratio is observed, moving from 4.28 in 2019 to 3.91 by the end of 2023. Although a moderate recovery occurred in 2022, where the ratio rose to 4.11, the overall five-year trajectory indicates a reduction in the frequency with which inventory is converted into sales.
- Average Inventory Processing Period
- The time required to process inventory has lengthened, increasing from 85 days in 2019 to 93 days in 2023. This metric reflects a consistent upward trend, with the exception of 2022, when the period shortened to 89 days.
The inverse correlation between the turnover ratio and the processing period is evident. The increase of eight days in the average processing period from 2019 to 2023 suggests a slight decrease in inventory liquidity, as assets are held longer before being sold or utilized in production.
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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 | 4.79 | 4.80 | 4.43 | 4.41 | 4.74 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 76 | 76 | 82 | 83 | 77 | |
| Benchmarks (no. days) | ||||||
| Average Receivable Collection Period, Competitors2 | ||||||
| Apple Inc. | 28 | 26 | 26 | 21 | — | |
| Arista Networks Inc. | 64 | 77 | 64 | — | — | |
| Cisco Systems Inc. | 37 | 47 | 42 | — | — | |
| Dell Technologies Inc. | 45 | 47 | 50 | — | — | |
| Lumentum Holdings Inc. | 51 | 56 | 45 | — | — | |
| Super Micro Computer Inc. | 59 | 59 | 48 | — | — | |
| Average Receivable Collection Period, Sector | ||||||
| Technology Hardware & Equipment | 33 | 33 | 32 | — | — | |
| 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 ÷ 4.79 = 76
2 Click competitor name to see calculations.
The analysis of short-term operating activity indicates a period of fluctuation in receivables management between 2019 and 2023, characterized by a temporary decline in efficiency followed by a successful recovery to baseline levels.
- Receivables Turnover
- A decline in the turnover ratio is observed between 2019 and 2020, moving from 4.74 to 4.41. This downward trend remained relatively stagnant through 2021 at 4.43 before showing a notable recovery in 2022, reaching a five-year peak of 4.80. The ratio concluded the period at 4.79 in 2023, demonstrating a return to high-efficiency turnover levels consistent with 2019 performance.
- Average Receivable Collection Period
- The duration required to collect outstanding receivables lengthened from 77 days in 2019 to 83 days in 2020, marking the least efficient point in the analyzed timeframe. A slight improvement occurred in 2021 with a reduction to 82 days, followed by a significant optimization in 2022, where the period dropped to 76 days. This efficiency was maintained through 2023, resulting in a collection cycle that is one day faster than the 2019 starting point.
The inverse relationship between the turnover ratio and the collection period is consistently maintained throughout the period. The data suggests that the operational headwinds encountered in 2020 and 2021 regarding credit collection were effectively mitigated by 2022, leading to a stable and optimized cash conversion cycle for receivables in the final two years of the analysis.
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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 | 93 | 89 | 92 | 90 | 85 | |
| Average receivable collection period | 76 | 76 | 82 | 83 | 77 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 169 | 165 | 174 | 173 | 162 | |
| Benchmarks | ||||||
| Operating Cycle, Competitors2 | ||||||
| Apple Inc. | 39 | 34 | 37 | 30 | — | |
| Arista Networks Inc. | 382 | 353 | 286 | — | — | |
| Cisco Systems Inc. | 100 | 96 | 74 | — | — | |
| Dell Technologies Inc. | 67 | 74 | 69 | — | — | |
| Lumentum Holdings Inc. | 185 | 162 | 125 | — | — | |
| Super Micro Computer Inc. | 149 | 187 | 174 | — | — | |
| Operating Cycle, Sector | ||||||
| Technology Hardware & Equipment | 54 | 51 | 48 | — | — | |
| 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
= 93 + 76 = 169
2 Click competitor name to see calculations.
The operating cycle exhibits a general trend of expansion between 2019 and 2023, characterized by moderate volatility. While the overall cycle length increased from 162 to 169 days over the five-year period, the primary driver of this extension was an increase in inventory processing time, which was partially offset by improvements in the efficiency of receivable collections.
- Average Inventory Processing Period
- An upward trend is observed in the time required to process inventory, which rose from 85 days in 2019 to 93 days in 2023. Despite a brief contraction to 89 days in 2022, the general increase suggests a slowing of inventory turnover or a strategic increase in stock levels held over the analyzed period.
- Average Receivable Collection Period
- The collection period demonstrated initial volatility, increasing from 77 days in 2019 to a peak of 83 days in 2020. Subsequently, a downward trend was established, with the period stabilizing at 76 days in 2022 and 2023. This indicates an improvement in credit management and a more efficient conversion of accounts receivable into cash.
- Operating Cycle
- The total operating cycle experienced a notable expansion between 2019 and 2021, peaking at 174 days. A contraction occurred in 2022, reducing the cycle to 165 days, before it rose to 169 days in 2023. The net increase of 7 days across the period reflects the combined impact of lengthening inventory processing times and shortening receivable collection windows.
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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 | 6.27 | 6.57 | 5.70 | 5.30 | 6.47 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 58 | 56 | 64 | 69 | 56 | |
| Benchmarks (no. days) | ||||||
| Average Payables Payment Period, Competitors2 | ||||||
| Apple Inc. | 107 | 105 | 94 | 91 | — | |
| Arista Networks Inc. | 71 | 50 | 69 | — | — | |
| Cisco Systems Inc. | 40 | 43 | 48 | — | — | |
| Dell Technologies Inc. | 85 | 125 | 122 | — | — | |
| Lumentum Holdings Inc. | 56 | 66 | 48 | — | — | |
| Super Micro Computer Inc. | 49 | 54 | 74 | — | — | |
| Average Payables Payment Period, Sector | ||||||
| Technology Hardware & Equipment | 96 | 105 | 97 | — | — | |
| 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 ÷ 6.27 = 58
2 Click competitor name to see calculations.
The analysis of accounts payable activity between 2019 and 2023 reveals a period of volatility followed by a return to baseline operational levels. A clear inverse relationship is maintained between the payables turnover ratio and the average payables payment period throughout the observed timeframe.
- Payables Turnover Ratio
- A decline in turnover was observed from 6.47 in 2019 to a period low of 5.30 in 2020. This trend reversed over the following two years, with the ratio increasing to 5.70 in 2021 and peaking at 6.57 in 2022. A slight contraction occurred in 2023, with the ratio settling at 6.27.
- Average Payables Payment Period
- The duration required to settle obligations to suppliers expanded from 56 days in 2019 to a maximum of 69 days in 2020. This extension indicates a slower disbursement of cash to vendors during that period. Following this peak, the payment period decreased to 64 days in 2021 and returned to 56 days in 2022, before ending the period at 58 days in 2023.
The data suggests that the extension of the payment cycle in 2020 and 2021 represented a temporary shift in working capital management. The subsequent convergence of the 2022 and 2023 figures toward the 2019 baseline indicates a normalization of supplier payment terms and a consistent approach to short-term liability management.
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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 | 93 | 89 | 92 | 90 | 85 | |
| Average receivable collection period | 76 | 76 | 82 | 83 | 77 | |
| Average payables payment period | 58 | 56 | 64 | 69 | 56 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | 111 | 109 | 110 | 104 | 106 | |
| Benchmarks | ||||||
| Cash Conversion Cycle, Competitors2 | ||||||
| Apple Inc. | -68 | -71 | -57 | -61 | — | |
| Arista Networks Inc. | 311 | 303 | 217 | — | — | |
| Cisco Systems Inc. | 60 | 53 | 26 | — | — | |
| Dell Technologies Inc. | -18 | -51 | -53 | — | — | |
| Lumentum Holdings Inc. | 129 | 96 | 77 | — | — | |
| Super Micro Computer Inc. | 100 | 133 | 100 | — | — | |
| Cash Conversion Cycle, Sector | ||||||
| Technology Hardware & Equipment | -42 | -54 | -49 | — | — | |
| 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
= 93 + 76 – 58 = 111
2 Click competitor name to see calculations.
The efficiency of working capital management over the five-year period from 2019 to 2023 exhibits a general trend of slight expansion in the cash conversion cycle, indicating a marginal increase in the time required to convert resource inputs into cash flows.
- Average Inventory Processing Period
- An upward trajectory is observed in the inventory processing period, which rose from 85 days in 2019 to 93 days by 2023. This increase suggests a slowdown in inventory turnover, potentially reflecting strategic stockpiling or shifts in supply chain lead times.
- Average Receivable Collection Period
- The collection period experienced volatility, peaking at 83 days in 2020 before stabilizing at 76 days in 2022 and 2023. The current level represents a slight improvement in receivables management compared to the initial 2019 figure of 77 days.
- Average Payables Payment Period
- Payment periods showed a significant temporary increase, rising from 56 days in 2019 to a peak of 69 days in 2020. This was followed by a gradual decline, returning to 58 days by 2023, suggesting a return to normalized supplier payment terms after a period of extended credit utilization.
- Cash Conversion Cycle
- The overall cash conversion cycle remained relatively stable, fluctuating between 104 and 111 days. The net increase to 111 days by the end of 2023 is primarily driven by the extension of the inventory processing period, which outweighed the improvements seen in the receivable collection period.
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