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: 2023-10-31), 10-K (reporting date: 2022-10-31), 10-K (reporting date: 2021-10-31), 10-K (reporting date: 2020-10-31), 10-K (reporting date: 2019-10-31), 10-K (reporting date: 2018-10-31).
The analysis of operating activity ratios reveals a significant shift in the efficiency of working capital management between 2018 and 2023, characterized by a general slowdown in asset turnover and a corresponding expansion of the operating cycle, which was partially offset by extended supplier payment terms.
- Inventory Management
- A consistent decline in inventory turnover is observed, falling from 8.81 in 2018 to 4.10 in 2023. This trend is mirrored in the average inventory processing period, which more than doubled from 41 days in 2018 to a peak of 99 days in 2022, before moderately improving to 89 days in 2023. These metrics suggest a slowing of inventory movement and a higher average hold time for goods.
- Receivables Management
- Receivables turnover exhibited volatility, peaking at 9.85 in 2019 before declining to a low of 6.95 in 2022. However, a recovery occurred in 2023 with a turnover ratio of 8.37. Correspondingly, the average receivable collection period extended from 37-39 days in the early period to 53 days by 2022, eventually contracting to 44 days in 2023, indicating improved efficiency in credit collection during the final year of the period.
- Payables Management
- Payables turnover decreased from 3.54 in 2018 to 2.65 in 2023, reaching a minimum of 2.18 in 2022. This indicates a strategic extension of the average payables payment period, which grew from 103 days in 2018 to 168 days in 2022, before settling at 138 days in 2023. The company has effectively utilized supplier credit to finance its operations.
- Operating and Cash Conversion Cycles
- The operating cycle expanded significantly, increasing from 80 days in 2018 to 152 days in 2022, before reducing to 133 days in 2023. Despite the longer operating cycle, the cash conversion cycle remained largely negative for most of the period due to the prolonged payables payment period. While the cash conversion cycle reached a positive 2 days in 2021, it returned to a negative position in 2022 (-16 days) and 2023 (-5 days), suggesting that the company continues to generate cash from its operations before its supplier obligations fall due.
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Inventory Turnover
| Oct 31, 2023 | Oct 31, 2022 | Oct 31, 2021 | Oct 31, 2020 | Oct 31, 2019 | Oct 31, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||
| Cost of revenue | 18,896) | 18,990) | 18,408) | 18,513) | 19,642) | 21,560) | |
| Inventory | 4,607) | 5,161) | 4,511) | 2,674) | 2,387) | 2,447) | |
| Short-term Activity Ratio | |||||||
| Inventory turnover1 | 4.10 | 3.68 | 4.08 | 6.92 | 8.23 | 8.81 | |
| Benchmarks | |||||||
| Inventory Turnover, Competitors2 | |||||||
| Apple Inc. | 33.82 | 45.20 | 32.37 | — | — | — | |
| 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: 2023-10-31), 10-K (reporting date: 2022-10-31), 10-K (reporting date: 2021-10-31), 10-K (reporting date: 2020-10-31), 10-K (reporting date: 2019-10-31), 10-K (reporting date: 2018-10-31).
1 2023 Calculation
Inventory turnover = Cost of revenue ÷ Inventory
= 18,896 ÷ 4,607 = 4.10
2 Click competitor name to see calculations.
A systemic decline in inventory turnover efficiency was observed between October 2018 and October 2022, followed by a marginal recovery in October 2023. The overall trend indicates a lengthening of the inventory cycle, characterized by a significant increase in held inventory relative to the cost of revenue during the latter half of the analyzed period.
- Cost of Revenue Trends
- The cost of revenue experienced a gradual decrease from 21,560 million USD in 2018 to 18,408 million USD in 2021, before stabilizing around 18,896 million USD by 2023. This relative stability in cost figures suggests that the volatility in activity ratios was primarily driven by changes in inventory balance rather than fluctuations in the cost of goods sold.
- Inventory Level Fluctuations
- Inventory levels remained relatively constant between 2018 and 2020, ranging from 2,387 million USD to 2,674 million USD. However, a sharp increase occurred in 2021, with inventory rising to 4,511 million USD and peaking at 5,161 million USD in 2022. A moderate reduction to 4,607 million USD was recorded in 2023, though levels remained substantially higher than the 2018-2020 average.
- Inventory Turnover Ratio Analysis
- The inventory turnover ratio exhibited a consistent downward trend, falling from 8.81 in 2018 to a low of 3.68 in 2022. This contraction reflects a decrease in the velocity at which inventory was converted into sales. The slight recovery to 4.10 in 2023 correlates with the reduction in total inventory held, indicating a modest improvement in operating efficiency compared to the previous year.
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Receivables Turnover
| Oct 31, 2023 | Oct 31, 2022 | Oct 31, 2021 | Oct 31, 2020 | Oct 31, 2019 | Oct 31, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||
| Net revenue | 29,135) | 28,496) | 27,784) | 26,982) | 29,135) | 30,852) | |
| Accounts receivable, net of allowances | 3,481) | 4,101) | 3,979) | 3,386) | 2,957) | 3,263) | |
| Short-term Activity Ratio | |||||||
| Receivables turnover1 | 8.37 | 6.95 | 6.98 | 7.97 | 9.85 | 9.46 | |
| Benchmarks | |||||||
| Receivables Turnover, Competitors2 | |||||||
| Apple Inc. | 12.99 | 13.99 | 13.92 | — | — | — | |
| 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: 2023-10-31), 10-K (reporting date: 2022-10-31), 10-K (reporting date: 2021-10-31), 10-K (reporting date: 2020-10-31), 10-K (reporting date: 2019-10-31), 10-K (reporting date: 2018-10-31).
1 2023 Calculation
Receivables turnover = Net revenue ÷ Accounts receivable, net of allowances
= 29,135 ÷ 3,481 = 8.37
2 Click competitor name to see calculations.
The analysis of receivables turnover reveals a period of declining collection efficiency followed by a significant recovery in the most recent fiscal year. While net revenue showed a general trend of stabilization and gradual growth after a decline in 2020, the efficiency of converting receivables into cash experienced higher volatility.
- Receivables Turnover Trend
- A downward trajectory was observed from October 31, 2019, to October 31, 2022, with the turnover ratio decreasing from a peak of 9.85 to a low of 6.95. This decline indicates a lengthening of the average collection period during this four-year interval.
- Accounts Receivable Dynamics
- Between 2019 and 2022, accounts receivable grew from 2,957 million to 4,101 million. This growth outpaced the movement of net revenue during the same period, contributing to the diminished turnover ratio and suggesting a potential increase in outstanding customer obligations or a shift in credit terms.
- Recent Operational Recovery
- As of October 31, 2023, a notable improvement in efficiency is evident, with the turnover ratio rising to 8.37. This recovery is primarily attributed to a substantial reduction in net accounts receivable to 3,481 million, achieving higher turnover despite revenue levels remaining nearly identical to those seen in 2019.
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Payables Turnover
| Oct 31, 2023 | Oct 31, 2022 | Oct 31, 2021 | Oct 31, 2020 | Oct 31, 2019 | Oct 31, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||
| Cost of revenue | 18,896) | 18,990) | 18,408) | 18,513) | 19,642) | 21,560) | |
| Accounts payable | 7,136) | 8,717) | 7,004) | 5,383) | 5,595) | 6,092) | |
| Short-term Activity Ratio | |||||||
| Payables turnover1 | 2.65 | 2.18 | 2.63 | 3.44 | 3.51 | 3.54 | |
| Benchmarks | |||||||
| Payables Turnover, Competitors2 | |||||||
| Apple Inc. | 3.42 | 3.49 | 3.89 | — | — | — | |
| 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: 2023-10-31), 10-K (reporting date: 2022-10-31), 10-K (reporting date: 2021-10-31), 10-K (reporting date: 2020-10-31), 10-K (reporting date: 2019-10-31), 10-K (reporting date: 2018-10-31).
1 2023 Calculation
Payables turnover = Cost of revenue ÷ Accounts payable
= 18,896 ÷ 7,136 = 2.65
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a notable shift in the management of accounts payable over the six-year period ending October 31, 2023. The payables turnover ratio exhibited a period of initial stability, followed by a significant decline and a subsequent partial recovery.
- Payables Turnover Trend
- Between 2018 and 2020, the payables turnover ratio remained relatively constant, fluctuating minimally between 3.54 and 3.44. This indicates a consistent cycle of payment to suppliers. However, a sharp downward trend occurred in 2021 and 2022, with the ratio falling to 2.63 and reaching a low of 2.18, respectively. By 2023, the ratio increased to 2.65, suggesting a moderate acceleration in payment frequency compared to the prior year.
- Accounts Payable Dynamics
- The decline in the turnover ratio is primarily attributed to a substantial increase in accounts payable starting in 2021. Payables rose from 5,383 million US dollars in 2020 to a peak of 8,717 million US dollars in 2022. This expansion of liabilities indicates that the company extended its payment period to suppliers, which effectively preserves cash flow. The subsequent decrease in payables to 7,136 million US dollars in 2023 correlates with the observed increase in the turnover ratio.
- Cost of Revenue Correlation
- During the analyzed period, the cost of revenue showed a general downward trend from 2018 to 2021, after which it stabilized between 18.4 billion and 19 billion US dollars. Because the cost of revenue remained relatively flat while accounts payable experienced significant volatility between 2020 and 2023, the changes in the payables turnover ratio are driven by changes in liability management rather than fluctuations in the volume of goods or services procured.
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Working Capital Turnover
| Oct 31, 2023 | Oct 31, 2022 | Oct 31, 2021 | Oct 31, 2020 | Oct 31, 2019 | Oct 31, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||
| Current assets | 18,948) | 20,506) | 18,878) | 16,556) | 15,143) | 17,272) | |
| Less: Current liabilities | 21,882) | 23,174) | 20,687) | 18,738) | 19,159) | 17,198) | |
| Working capital | (2,934) | (2,668) | (1,809) | (2,182) | (4,016) | 74) | |
| Net revenue | 29,135) | 28,496) | 27,784) | 26,982) | 29,135) | 30,852) | |
| Short-term Activity Ratio | |||||||
| Working capital turnover1 | — | — | — | — | — | 416.92 | |
| Benchmarks | |||||||
| Working Capital Turnover, Competitors2 | |||||||
| Apple Inc. | — | — | 39.10 | — | — | — | |
| 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: 2023-10-31), 10-K (reporting date: 2022-10-31), 10-K (reporting date: 2021-10-31), 10-K (reporting date: 2020-10-31), 10-K (reporting date: 2019-10-31), 10-K (reporting date: 2018-10-31).
1 2023 Calculation
Working capital turnover = Net revenue ÷ Working capital
= 29,135 ÷ -2,934 = —
2 Click competitor name to see calculations.
The analysis of short-term operating activity indicates a significant structural shift in liquidity management and a period of revenue fluctuation between 2018 and 2023.
- Working Capital Dynamics
- A transition from a positive working capital position of 74 million USD in 2018 to a consistently negative position is observed from 2019 through 2023. The most pronounced deficit occurred in 2019 at negative 4,016 million USD. While there was a moderate improvement in 2020 and 2021, the trend reversed again, ending the period at negative 2,934 million USD in 2023. This persistent negative state indicates that current liabilities exceeded current assets for five consecutive years.
- Net Revenue Trends
- Net revenue experienced a decline from 30,852 million USD in 2018 to a minimum of 26,982 million USD in 2020. Following this trough, a steady recovery trend is evident, with revenue increasing annually to reach 29,135 million USD by October 31, 2023. This final value represents a return to the revenue levels observed in 2019.
- Working Capital Turnover Interpretation
- The working capital turnover ratio was exceptionally high in 2018 at 416.92, driven by the narrow margin of positive working capital relative to total revenue. For the years 2019 through 2023, the presence of negative working capital renders the traditional turnover ratio non-applicable or mathematically negative. This suggests a strategic or operational shift where the company utilizes its current liabilities to finance its operating assets, effectively operating with a negative net investment in working capital.
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Average Inventory Processing Period
Hewlett Packard Enterprise Co., average inventory processing period calculation, comparison to benchmarks
| Oct 31, 2023 | Oct 31, 2022 | Oct 31, 2021 | Oct 31, 2020 | Oct 31, 2019 | Oct 31, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Inventory turnover | 4.10 | 3.68 | 4.08 | 6.92 | 8.23 | 8.81 | |
| Short-term Activity Ratio (no. days) | |||||||
| Average inventory processing period1 | 89 | 99 | 89 | 53 | 44 | 41 | |
| Benchmarks (no. days) | |||||||
| Average Inventory Processing Period, Competitors2 | |||||||
| Apple Inc. | 11 | 8 | 11 | — | — | — | |
| 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: 2023-10-31), 10-K (reporting date: 2022-10-31), 10-K (reporting date: 2021-10-31), 10-K (reporting date: 2020-10-31), 10-K (reporting date: 2019-10-31), 10-K (reporting date: 2018-10-31).
1 2023 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 4.10 = 89
2 Click competitor name to see calculations.
An analysis of the operating activity ratios indicates a significant shift in inventory management efficiency over the six-year period ending October 31, 2023. A sustained degradation in the speed of inventory turnover was observed between 2018 and 2022, followed by a marginal recovery in the final year.
- Inventory Turnover
- The turnover ratio exhibited a consistent downward trend for five consecutive years, falling from 8.81 in 2018 to a low of 3.68 in 2022. The most pronounced decline occurred between 2020 and 2021, where the ratio dropped from 6.92 to 4.08, indicating a reduction in the frequency with which inventory was replaced. A slight reversal of this trend was noted in 2023, with the ratio increasing to 4.10.
- Average Inventory Processing Period
- The average inventory processing period moved in inverse correlation with the turnover ratio, increasing from 41 days in 2018 to a peak of 99 days in 2022. A notable surge in the processing duration is evident between 2020 and 2021, when the period jumped from 53 days to 89 days. This represents a substantial extension of the time required to process inventory compared to 2018 levels. In 2023, the period decreased to 89 days, suggesting a moderate improvement in the speed of inventory movement.
- Operational Efficiency Insights
- The data reflects a period of increasing operational lag in inventory management that culminated in 2022. The extension of the processing period from 41 to 99 days suggests an accumulation of stock or a slowdown in sales velocity relative to inventory holdings during that timeframe. The correction observed in 2023 indicates a potential stabilization or a strategic adjustment in inventory levels to optimize short-term operating activity.
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Average Receivable Collection Period
Hewlett Packard Enterprise Co., average receivable collection period calculation, comparison to benchmarks
| Oct 31, 2023 | Oct 31, 2022 | Oct 31, 2021 | Oct 31, 2020 | Oct 31, 2019 | Oct 31, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Receivables turnover | 8.37 | 6.95 | 6.98 | 7.97 | 9.85 | 9.46 | |
| Short-term Activity Ratio (no. days) | |||||||
| Average receivable collection period1 | 44 | 53 | 52 | 46 | 37 | 39 | |
| Benchmarks (no. days) | |||||||
| Average Receivable Collection Period, Competitors2 | |||||||
| Apple Inc. | 28 | 26 | 26 | — | — | — | |
| 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: 2023-10-31), 10-K (reporting date: 2022-10-31), 10-K (reporting date: 2021-10-31), 10-K (reporting date: 2020-10-31), 10-K (reporting date: 2019-10-31), 10-K (reporting date: 2018-10-31).
1 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 8.37 = 44
2 Click competitor name to see calculations.
The analysis of receivables activity from 2018 to 2023 reveals a fluctuating cycle of collection efficiency, characterized by an initial period of optimization, a subsequent multi-year deterioration, and a recent recovery in liquidity management.
- Receivables Turnover Ratio
- A peak in efficiency was observed in 2019, with the turnover ratio reaching 9.85. This was followed by a consistent decline over the next three years, dropping to 7.97 in 2020 and hitting a low of 6.95 in 2022. This downward trajectory indicates a reduction in the frequency with which receivables were converted into cash. However, a significant reversal occurred in 2023, as the ratio increased to 8.37, suggesting a strengthening of credit collection efforts or a shift in customer payment behavior.
- Average Receivable Collection Period
- The collection timeframe mirrors the inverse movement of the turnover ratio. After reaching a minimum of 37 days in 2019, the collection period extended progressively to 46 days in 2020, 52 days in 2021, and a peak of 53 days in 2022. This expansion represents a slowing of cash inflows and a longer capital tie-up in outstanding invoices. By October 31, 2023, the collection period contracted to 44 days, reflecting a notable improvement in the speed of payment realization compared to the previous three fiscal years.
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Operating Cycle
| Oct 31, 2023 | Oct 31, 2022 | Oct 31, 2021 | Oct 31, 2020 | Oct 31, 2019 | Oct 31, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Average inventory processing period | 89 | 99 | 89 | 53 | 44 | 41 | |
| Average receivable collection period | 44 | 53 | 52 | 46 | 37 | 39 | |
| Short-term Activity Ratio | |||||||
| Operating cycle1 | 133 | 152 | 141 | 99 | 81 | 80 | |
| Benchmarks | |||||||
| Operating Cycle, Competitors2 | |||||||
| Apple Inc. | 39 | 34 | 37 | — | — | — | |
| 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: 2023-10-31), 10-K (reporting date: 2022-10-31), 10-K (reporting date: 2021-10-31), 10-K (reporting date: 2020-10-31), 10-K (reporting date: 2019-10-31), 10-K (reporting date: 2018-10-31).
1 2023 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 89 + 44 = 133
2 Click competitor name to see calculations.
The operating cycle experienced a significant expansion between 2018 and 2022, followed by a moderate contraction in 2023. This trajectory indicates a prolonged period of decreased efficiency in converting current assets into cash, although recent performance suggests a recovery in operational liquidity.
- Average Inventory Processing Period
- A substantial upward trend is observed from 2018 to 2022, with the period increasing from 41 days to a peak of 99 days. This extension suggests a slower turnover of inventory or an increase in stock levels relative to sales during this period. A subsequent reduction to 89 days in 2023 indicates a partial recovery in inventory management efficiency.
- Average Receivable Collection Period
- The collection period exhibited relative stability compared to inventory, though a gradual increase was noted from 39 days in 2018 to a peak of 53 days in 2022. A notable improvement occurred in 2023, where the period decreased to 44 days, reflecting a more accelerated conversion of receivables into cash.
- Operating Cycle
- The total operating cycle grew from 80 days in 2018 to 152 days in 2022, nearly doubling in duration. The primary driver of this elongation was the increase in the inventory processing period. The contraction to 133 days in 2023 aligns with simultaneous improvements in both inventory turnover and receivable collections, effectively shortening the time required to complete the operational cycle.
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Average Payables Payment Period
Hewlett Packard Enterprise Co., average payables payment period calculation, comparison to benchmarks
| Oct 31, 2023 | Oct 31, 2022 | Oct 31, 2021 | Oct 31, 2020 | Oct 31, 2019 | Oct 31, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Payables turnover | 2.65 | 2.18 | 2.63 | 3.44 | 3.51 | 3.54 | |
| Short-term Activity Ratio (no. days) | |||||||
| Average payables payment period1 | 138 | 168 | 139 | 106 | 104 | 103 | |
| Benchmarks (no. days) | |||||||
| Average Payables Payment Period, Competitors2 | |||||||
| Apple Inc. | 107 | 105 | 94 | — | — | — | |
| 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: 2023-10-31), 10-K (reporting date: 2022-10-31), 10-K (reporting date: 2021-10-31), 10-K (reporting date: 2020-10-31), 10-K (reporting date: 2019-10-31), 10-K (reporting date: 2018-10-31).
1 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 2.65 = 138
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a significant shift in accounts payable management between 2018 and 2023. An initial period of stability was followed by a marked expansion in payment timelines, which peaked in 2022 before experiencing a contraction in 2023.
- Payables Turnover
- The payables turnover ratio remained relatively consistent from 2018 to 2020, fluctuating marginally between 3.54 and 3.44. A notable deceleration occurred starting in 2021, with the ratio declining to 2.63 and reaching a low of 2.18 in 2022. This downward movement indicates a slower frequency of supplier payments over that period. A partial recovery was recorded in 2023, as the ratio rose to 2.65.
- Average Payables Payment Period
- The average payment period exhibited a stable trend from 2018 to 2020, maintaining a range between 103 and 106 days. A sharp increase is observed starting in 2021, where the period extended to 139 days and eventually peaked at 168 days in 2022. This extension indicates a strategic or operational shift toward longer payment terms, effectively increasing the company's cash retention. In 2023, the period decreased to 138 days, representing a return toward shorter payment cycles compared to the 2022 peak.
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Cash Conversion Cycle
Hewlett Packard Enterprise Co., cash conversion cycle calculation, comparison to benchmarks
No. days
| Oct 31, 2023 | Oct 31, 2022 | Oct 31, 2021 | Oct 31, 2020 | Oct 31, 2019 | Oct 31, 2018 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Average inventory processing period | 89 | 99 | 89 | 53 | 44 | 41 | |
| Average receivable collection period | 44 | 53 | 52 | 46 | 37 | 39 | |
| Average payables payment period | 138 | 168 | 139 | 106 | 104 | 103 | |
| Short-term Activity Ratio | |||||||
| Cash conversion cycle1 | -5 | -16 | 2 | -7 | -23 | -23 | |
| Benchmarks | |||||||
| Cash Conversion Cycle, Competitors2 | |||||||
| Apple Inc. | -68 | -71 | -57 | — | — | — | |
| 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: 2023-10-31), 10-K (reporting date: 2022-10-31), 10-K (reporting date: 2021-10-31), 10-K (reporting date: 2020-10-31), 10-K (reporting date: 2019-10-31), 10-K (reporting date: 2018-10-31).
1 2023 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 89 + 44 – 138 = -5
2 Click competitor name to see calculations.
The operating activity ratios exhibit significant volatility over the six-year period, characterized by a notable expansion in working capital components between 2020 and 2022, followed by a partial correction in 2023. The cash conversion cycle has fluctuated between negative and positive values, indicating a shifting balance between inventory management, credit terms offered to customers, and payment terms extended by suppliers.
- Average Inventory Processing Period
- A substantial upward trend is observed from 2018 to 2022, with the period increasing from 41 days to a peak of 99 days. This indicates a slowdown in inventory turnover, possibly reflecting supply chain disruptions or strategic stockpiling. A slight improvement occurred in 2023, with the period decreasing to 89 days.
- Average Receivable Collection Period
- Collection efficiency declined between 2019 and 2022, as the period grew from 37 days to 53 days. However, a significant recovery is noted in 2023, where the collection period dropped to 44 days, suggesting more stringent credit controls or improved collection processes.
- Average Payables Payment Period
- Payment terms extended to suppliers increased dramatically, rising from 103 days in 2018 to a peak of 168 days in 2022. This trend suggests an aggressive strategy to preserve liquidity by delaying cash outflows. This period contracted to 138 days in 2023, though it remains significantly higher than the levels observed prior to 2021.
- Cash Conversion Cycle (CCC)
- The company maintained a negative CCC for most of the period, which implies that operations are effectively financed by suppliers. The cycle moved from -23 days in 2018/2019 to a positive 2 days in 2021, coinciding with the sharp increase in inventory and receivable days. The cycle returned to a negative position of -5 days by 2023, driven primarily by the substantial lead provided by the payables payment period offsetting the combined time required to process inventory and collect receivables.
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