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).
Analysis of short-term operating activity indicates a period of volatility in inventory management between 2019 and 2022, followed by a notable recovery in 2023. While the overall operating cycle experienced an expansion over the five-year period, the cash conversion cycle remained relatively stable, suggesting a strategic alignment between inventory holding and supplier payment terms.
- Inventory Management
- A significant decline in efficiency was observed from 2019 to 2022, with inventory turnover dropping from 8.85 to 4.63. This resulted in the average inventory processing period increasing from 41 days to a peak of 79 days. However, 2023 marked a reversal of this trend, as turnover improved to 6.06 and the processing period was reduced to 60 days.
- Receivables Management
- Receivables activity remained remarkably consistent throughout the analyzed period. The receivables turnover ratio fluctuated minimally between 5.33 and 6.00, and the average collection period stayed within a tight range of 61 to 68 days, indicating a stable and predictable credit collection process.
- Payables Management
- A trend of extending payment terms was evident through 2022, during which the average payables payment period rose from 57 days to 79 days, and the payables turnover ratio fell from 6.40 to 4.60. In 2023, this trend reversed, with the payment period shortening to 64 days and turnover increasing to 5.68.
- Operating and Cash Conversion Cycles
- The operating cycle lengthened from 106 days in 2019 to a peak of 140 days in 2022, driven primarily by slower inventory movement. Despite this expansion, the cash conversion cycle showed higher resilience, fluctuating between 49 and 61 days. The correlation between the increase in the inventory processing period and the extension of the payables payment period suggests that the company utilized supplier credit to mitigate the impact of slower inventory turnover on overall liquidity.
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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 millions) | ||||||
| Costs of sales | 5,008) | 4,883) | 4,131) | 3,806) | 3,956) | |
| Inventories, net | 827) | 1,055) | 788) | 508) | 447) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 6.06 | 4.63 | 5.24 | 7.49 | 8.85 | |
| 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 = Costs of sales ÷ Inventories, net
= 5,008 ÷ 827 = 6.06
2 Click competitor name to see calculations.
Between 2019 and 2023, a fluctuating trend in inventory management efficiency is observed, characterized by a multi-year decline in turnover followed by a partial recovery in the most recent fiscal year.
- Cost of Sales Trends
- Costs of sales demonstrated a general upward trajectory after a slight dip in 2020. The expenditure rose from 3,956 million US$ in 2019 to 5,008 million US$ by 2023, reflecting a consistent increase in the volume of goods sold or an escalation in production costs over the five-year period.
- Inventory Level Analysis
- Net inventories grew substantially from 447 million US$ in 2019 to a peak of 1,055 million US$ in 2022. This rapid accumulation suggests a period of aggressive stockpiling or potential supply chain disruptions. This trend reversed in 2023, with inventory levels decreasing to 827 million US$, indicating a successful drawdown of excess stock.
- Inventory Turnover Ratio Interpretation
- The inventory turnover ratio experienced a steady decline from 8.85 in 2019 to a minimum of 4.63 in 2022. This downward trend indicates that the rate of inventory growth significantly outpaced the growth in costs of sales, leading to lower asset liquidity and longer holding periods. The ratio recovered to 6.06 in 2023, driven by the simultaneous increase in cost of sales and the reduction in net inventory, signaling a return toward greater operational efficiency.
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Receivables Turnover
| Dec 31, 2023 | Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||
| Net sales | 9,978) | 9,112) | 8,171) | 7,414) | 7,887) | |
| Accounts receivable, net | 1,710) | 1,518) | 1,386) | 1,390) | 1,412) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 5.84 | 6.00 | 5.90 | 5.33 | 5.59 | |
| 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, net
= 9,978 ÷ 1,710 = 5.84
2 Click competitor name to see calculations.
The analysis of short-term operating activity between 2019 and 2023 reveals a period of revenue expansion accompanied by consistent credit management efficiency.
- Net Sales Trajectory
- A minor contraction was observed in 2020, with net sales decreasing to US$ 7,414 million from US$ 7,887 million in 2019. This was followed by a sustained upward trend, with annual increases leading to a peak of US$ 9,978 million by the end of 2023, indicating robust top-line growth over the final three years of the period.
- Accounts Receivable Dynamics
- Net receivables remained relatively stable from 2019 through 2021, fluctuating narrowly between US$ 1,386 million and US$ 1,412 million. A shift occurred in 2022 and 2023, where the balance increased to US$ 1,518 million and US$ 1,710 million, respectively. This suggests an increase in the volume of credit extended to customers or a slight slowing in the collection cycle relative to the growth in sales.
- Receivables Turnover Efficiency
- The receivables turnover ratio remained stable, oscillating within a tight range between 5.33 and 6.00. A dip to 5.33 in 2020 coincided with the decrease in net sales, while a peak of 6.00 was reached in 2022. The subsequent moderation to 5.84 in 2023 reflects the fact that the growth in accounts receivable outpaced the growth in net sales during that specific fiscal year.
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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 millions) | ||||||
| Costs of sales | 5,008) | 4,883) | 4,131) | 3,806) | 3,956) | |
| Accounts payable | 881) | 1,062) | 851) | 612) | 618) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 5.68 | 4.60 | 4.85 | 6.22 | 6.40 | |
| 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 = Costs of sales ÷ Accounts payable
= 5,008 ÷ 881 = 5.68
2 Click competitor name to see calculations.
An analysis of the operating activity ratios indicates a period of volatility in payables management between 2019 and 2023. While the costs of sales maintained a general upward trajectory, the efficiency with which payables were turned over experienced a notable decline before recovering in the final year of the period.
- Payables Turnover Trend
- The turnover ratio decreased from 6.40 in 2019 to a low of 4.60 in 2022. This downward trend suggests a lengthening of the payment cycle, indicating that the organization extended the duration of its liabilities to suppliers. However, a reversal occurred in 2023, with the ratio increasing to 5.68, reflecting a more rapid settlement of obligations compared to the previous two years.
- Relationship Between Costs of Sales and Accounts Payable
- Costs of sales grew from 3,956 million USD in 2019 to 5,008 million USD in 2023. During the period from 2020 to 2022, accounts payable grew at a faster rate than the costs of sales, peaking at 1,062 million USD. This divergence explains the reduction in the turnover ratio during that timeframe. In 2023, accounts payable decreased to 881 million USD despite a continued increase in costs of sales, which directly contributed to the observed increase in turnover efficiency.
- Operational Implications
- The contraction in the turnover ratio through 2022 suggests a strategic utilization of supplier credit to preserve working capital. The recovery in 2023 indicates a shift in financial positioning, characterized by an acceleration of payments to suppliers or a change in the credit terms offered by vendors.
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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 millions) | ||||||
| Current assets | 5,725) | 5,255) | 5,412) | 4,327) | 4,178) | |
| Less: Current liabilities | 5,736) | 4,560) | 4,063) | 3,489) | 3,439) | |
| Working capital | (11) | 695) | 1,349) | 838) | 739) | |
| Net sales | 9,978) | 9,112) | 8,171) | 7,414) | 7,887) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | — | 13.11 | 6.06 | 8.85 | 10.67 | |
| 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
= 9,978 ÷ -11 = —
2 Click competitor name to see calculations.
An analysis of operational activity indicates a significant shift in the management of short-term assets and liabilities relative to revenue growth between 2019 and 2023.
- Net Sales Performance
- Revenue exhibits a consistent upward trajectory, increasing from US$ 7,887 million in 2019 to US$ 9,978 million in 2023. Aside from a slight contraction in 2020, the company has maintained steady top-line expansion throughout the observed period.
- Working Capital Trends
- Working capital experienced substantial volatility, peaking at US$ 1,349 million in 2021. This was followed by a sharp decline over the subsequent two years, culminating in a negative working capital position of US$ -11 million by December 31, 2023, indicating that current liabilities have surpassed current assets.
- Working Capital Turnover Dynamics
- The turnover ratio fluctuated in inverse correlation with the levels of working capital. A decline from 10.67 in 2019 to a low of 6.06 in 2021 suggests a period where the growth of working capital outpaced sales growth. The subsequent spike to 13.11 in 2022 reflects a rapid reduction in net current assets relative to sales. The ratio for 2023 is not applicable due to the transition to negative working capital.
The observed patterns reveal a transition toward a negative working capital model, where increasing sales volumes are supported by a diminishing reliance on net current assets, shifting the financing of operations toward current liabilities.
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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 | 6.06 | 4.63 | 5.24 | 7.49 | 8.85 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 60 | 79 | 70 | 49 | 41 | |
| 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 ÷ 6.06 = 60
2 Click competitor name to see calculations.
Analysis of inventory activity from 2019 to 2023 reveals a period of diminishing operational efficiency followed by a corrective recovery in the final year. An inverse correlation is observed between the inventory turnover ratio and the average inventory processing period, reflecting a significant fluctuation in the company's operating cycle.
- Inventory Turnover
- A steady downward trend was observed from 2019 to 2022, with the turnover ratio declining from 8.85 to 4.63. This contraction indicates a slowing rate of inventory replacement and potential accumulation of unsold goods. This trend reversed in 2023, as the ratio rose to 6.06, signaling a recovery in the speed of inventory movement.
- Average Inventory Processing Period
- The time required to process inventory increased substantially over the first four years of the analyzed period, rising from 41 days in 2019 to a peak of 79 days in 2022. This represents a nearly twofold increase in the duration inventory remained on hand. However, this metric improved in 2023, dropping to 60 days, which demonstrates a reduction in the inventory holding cycle.
The data suggests that inventory management reached its lowest point of efficiency in 2022. The subsequent improvements recorded in 2023 indicate a successful optimization of the supply chain or an increase in sales velocity, effectively reducing the capital tied up in inventory and shortening the overall operating cycle.
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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 | 5.84 | 6.00 | 5.90 | 5.33 | 5.59 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 63 | 61 | 62 | 68 | 65 | |
| 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 ÷ 5.84 = 63
2 Click competitor name to see calculations.
The analysis of operating activity reveals a stable trend in the management of receivables from 2019 through 2023. The company has maintained a consistent rhythm in its credit collection process, with minor fluctuations that suggest a disciplined approach to working capital management and a predictable cash conversion cycle.
- Receivables Turnover
- The turnover ratio remained within a narrow range, beginning at 5.59 in 2019 and reaching a peak of 6.00 in 2022. A temporary decline was noted in 2020, where the ratio dropped to 5.33, followed by a steady recovery over the subsequent two years. The marginal decrease to 5.84 in 2023 indicates a slight slowdown in the frequency of receivable turnovers, yet the metric remains higher than the 2019 and 2020 levels.
- Average Receivable Collection Period
- The collection period exhibits an inverse relationship with the turnover ratio, peaking at 68 days in 2020 before improving to a low of 61 days in 2022. This contraction in the collection period reflects an increase in collection efficiency following the 2020 peak. The transition to 63 days in 2023 suggests a slight expansion of the credit cycle, although the overall duration remains well-contained and consistent with historical performance.
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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 | 60 | 79 | 70 | 49 | 41 | |
| Average receivable collection period | 63 | 61 | 62 | 68 | 65 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 123 | 140 | 132 | 117 | 106 | |
| 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
= 60 + 63 = 123
2 Click competitor name to see calculations.
The operating cycle exhibited a general upward trend from 2019 to 2022, followed by a notable contraction in 2023. The overall duration of the cycle expanded from 106 days to a peak of 140 days before receding to 123 days. This volatility is primarily driven by fluctuations in inventory management rather than credit collection efficiency.
- Average Inventory Processing Period
- A significant increase in the time required to process inventory was observed between 2019 and 2022, with the period rising from 41 days to 79 days. This trend indicates a slowdown in inventory turnover during this period. However, a corrective shift occurred in 2023, where the processing period decreased to 60 days, suggesting improved inventory efficiency or a reduction in stock levels.
- Average Receivable Collection Period
- The collection of receivables remained remarkably stable throughout the five-year period. The duration fluctuated minimally between a high of 68 days in 2020 and a low of 61 days in 2022, ending at 63 days in 2023. This stability reflects a consistent and predictable credit policy and effective accounts receivable management.
- Operating Cycle
- The total operating cycle mirrored the trajectory of the inventory processing period. The expansion from 106 days in 2019 to 140 days in 2022 was almost entirely attributable to the increased time inventory remained in the system. The subsequent reduction to 123 days in 2023 confirms that the operating cycle's volatility is highly sensitive to inventory turnover rather than the speed of payment collection.
In summary, the operational efficiency regarding the movement of goods experienced a period of degradation that peaked in 2022, but showed signs of recovery in 2023. Throughout this period, the company maintained a steady and disciplined approach to collecting payments from customers.
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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 | 5.68 | 4.60 | 4.85 | 6.22 | 6.40 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 64 | 79 | 75 | 59 | 57 | |
| 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 ÷ 5.68 = 64
2 Click competitor name to see calculations.
The analysis of accounts payable activity from 2019 to 2023 reveals a distinct cyclical pattern in the management of short-term obligations. A marked extension of the payment cycle occurred between 2020 and 2022, followed by a notable contraction in 2023.
- Payables Turnover
- The turnover ratio exhibited a downward trend from 6.40 in 2019 to a minimum of 4.60 in 2022. This decline indicates a reduction in the frequency with which obligations to suppliers were settled over this three-year period. A recovery was observed in 2023, as the ratio increased to 5.68, signaling a return toward a more accelerated payment frequency.
- Average Payables Payment Period
- The average time taken to settle payables remained stable between 2019 and 2020, shifting slightly from 57 to 59 days. A significant expansion followed, with the period increasing to 75 days in 2021 and peaking at 79 days in 2022. This suggests a period of increased reliance on supplier credit to maintain working capital. In 2023, the payment period decreased to 64 days, reflecting a faster settlement of liabilities compared to the preceding two years.
The data demonstrates a consistent inverse correlation between the turnover ratio and the payment period. The maximum extension of supplier credit in 2022 coincided with the lowest turnover ratio. The subsequent shift in 2023 indicates a strategic or operational correction, resulting in a shorter payment window and an increase in the velocity of payables turnover.
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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 | 60 | 79 | 70 | 49 | 41 | |
| Average receivable collection period | 63 | 61 | 62 | 68 | 65 | |
| Average payables payment period | 64 | 79 | 75 | 59 | 57 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | 59 | 61 | 57 | 58 | 49 | |
| 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
= 60 + 63 – 64 = 59
2 Click competitor name to see calculations.
The analysis of the operating activity ratios from 2019 to 2023 reveals a general stabilization of the cash conversion cycle despite significant fluctuations in inventory management and supplier payment terms. While the overall cycle lengthened slightly over the five-year period, the interaction between the components suggests a strategic alignment to mitigate the impact of increased inventory holding times.
- Average Inventory Processing Period
- A pronounced upward trend was observed between 2019 and 2022, with the period extending from 41 days to a peak of 79 days. This suggests a period of slowing inventory turnover or a strategic increase in safety stock. However, a notable correction occurred in 2023, where the period decreased to 60 days, indicating an improvement in inventory efficiency or a reduction in stockpiled goods.
- Average Receivable Collection Period
- The collection of receivables remained remarkably stable throughout the analyzed period, fluctuating within a narrow range of 61 to 68 days. This consistency points to a disciplined credit policy and a predictable payment behavior from customers, ensuring a steady inflow of cash regardless of other operational shifts.
- Average Payables Payment Period
- The payment period for payables closely mirrored the trend seen in inventory processing. There was a steady increase from 57 days in 2019 to 79 days in 2022, effectively offsetting the capital tied up in inventory. Similar to the inventory trend, this period contracted significantly in 2023 to 64 days, suggesting a shift in supplier terms or a change in liquidity management strategy.
- Cash Conversion Cycle
- The overall cash conversion cycle increased from 49 days in 2019 to 59 days in 2023. Despite the volatility in inventory and payables, the cycle remained relatively contained between 57 and 61 days from 2020 through 2023. The data indicates that the extension of payables payment terms served as a critical hedge against the lengthening of the inventory processing period, thereby preventing a more severe degradation of the cash cycle.
In summary, the operational efficiency regarding the conversion of resources into cash has experienced a slight decline since 2019, but it has remained stable over the last four years. The simultaneous rise and fall of inventory and payables periods suggest a synchronized approach to managing short-term working capital.
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