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: 2018-10-31), 10-K (reporting date: 2017-10-31), 10-K (reporting date: 2016-10-31), 10-K (reporting date: 2015-10-31), 10-K (reporting date: 2014-10-31), 10-K (reporting date: 2013-10-31).
An analysis of the operating activity ratios from 2013 to 2018 reveals a significant shift in the management of short-term working capital, characterized by a transition from a positive to a negative cash conversion cycle.
- Inventory Management
- A consistent decline in inventory turnover is observed, falling from 14.29 in 2013 to 7.89 in 2018. This trend is mirrored by the average inventory processing period, which increased from 26 days to 46 days over the same period. These metrics indicate a slowing rate of inventory movement and a longer duration for stock to be converted into sales.
- Receivables Management
- Efficiency in the collection of receivables improved notably. The receivables turnover ratio rose from 7.07 in 2013 to 11.44 in 2018. Consequently, the average receivable collection period decreased from 52 days to 32 days, suggesting a more aggressive or efficient credit collection process.
- Payables Management
- A marked downward trend is evident in the payables turnover ratio, which decreased from 6.16 in 2013 to 3.23 in 2018. This corresponds to a substantial increase in the average payables payment period, which expanded from 59 days to 113 days. This indicates a strategic extension of payment terms to suppliers, effectively increasing the amount of supplier-provided financing.
- Operating Cycle and Cash Conversion Cycle
- The operating cycle remained relatively stable, fluctuating between 73 and 81 days, ending at 78 days in 2018. However, the cash conversion cycle underwent a dramatic transformation, moving from 19 days in 2013 to -35 days in 2018. This negative cycle is primarily driven by the extension of the payables payment period, which now exceeds the combined time required to process inventory and collect receivables. This positioning suggests that the company is effectively financing its operations through its accounts payable.
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Inventory Turnover
| Oct 31, 2018 | Oct 31, 2017 | Oct 31, 2016 | Oct 31, 2015 | Oct 31, 2014 | Oct 31, 2013 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||
| Cost of revenue | 47,803) | 42,478) | 39,240) | 78,596) | 84,839) | 86,380) | |
| Inventory | 6,062) | 5,786) | 4,484) | 6,485) | 6,415) | 6,046) | |
| Short-term Activity Ratio | |||||||
| Inventory turnover1 | 7.89 | 7.34 | 8.75 | 12.12 | 13.23 | 14.29 | |
| Benchmarks | |||||||
| Inventory Turnover, Competitors2 | |||||||
| Apple Inc. | — | — | — | — | — | — | |
| Arista Networks Inc. | — | — | — | — | — | — | |
| Cisco Systems Inc. | — | — | — | — | — | — | |
| Dell Technologies Inc. | — | — | — | — | — | — | |
| Lumentum Holdings Inc. | — | — | — | — | — | — | |
| Super Micro Computer Inc. | — | — | — | — | — | — | |
Based on: 10-K (reporting date: 2018-10-31), 10-K (reporting date: 2017-10-31), 10-K (reporting date: 2016-10-31), 10-K (reporting date: 2015-10-31), 10-K (reporting date: 2014-10-31), 10-K (reporting date: 2013-10-31).
1 2018 Calculation
Inventory turnover = Cost of revenue ÷ Inventory
= 47,803 ÷ 6,062 = 7.89
2 Click competitor name to see calculations.
An analysis of the operating activity ratios reveals a consistent decline in inventory management efficiency over the period from 2013 to 2018. Despite fluctuations in total costs and inventory holdings, the overall ability to cycle through inventory has diminished.
- Cost of Revenue Trends
- Cost of revenue showed a gradual decrease from 2013 to 2015, moving from US$ 86,380 million to US$ 78,596 million. A sharp contraction occurred in 2016, with costs falling to US$ 39,240 million. Following this low point, a recovery trend was observed through 2018, where the cost of revenue rose to US$ 47,803 million.
- Inventory Level Fluctuations
- Inventory levels remained relatively stable between 2013 and 2015, peaking at US$ 6,485 million. A notable reduction occurred in 2016, with inventory dropping to US$ 4,484 million. Subsequent years saw a steady increase in inventory holdings, reaching US$ 6,062 million by October 31, 2018, effectively returning to 2013 levels.
- Inventory Turnover Analysis
- The inventory turnover ratio experienced a sustained downward trend, falling from 14.29 in 2013 to 7.89 in 2018. The most significant deterioration in efficiency occurred between 2015 and 2017, during which the ratio dropped from 12.12 to 7.34. Although a marginal improvement to 7.89 was recorded in 2018, the ratio remains substantially lower than the levels seen at the start of the period, indicating a slower rate of inventory clearance and potential increases in holding costs.
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Receivables Turnover
| Oct 31, 2018 | Oct 31, 2017 | Oct 31, 2016 | Oct 31, 2015 | Oct 31, 2014 | Oct 31, 2013 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||
| Net revenue | 58,472) | 52,056) | 48,238) | 103,355) | 111,454) | 112,298) | |
| Accounts receivable, net | 5,113) | 4,414) | 4,114) | 13,363) | 13,832) | 15,876) | |
| Short-term Activity Ratio | |||||||
| Receivables turnover1 | 11.44 | 11.79 | 11.73 | 7.73 | 8.06 | 7.07 | |
| Benchmarks | |||||||
| Receivables Turnover, Competitors2 | |||||||
| Apple Inc. | — | — | — | — | — | — | |
| Arista Networks Inc. | — | — | — | — | — | — | |
| Cisco Systems Inc. | — | — | — | — | — | — | |
| Dell Technologies Inc. | — | — | — | — | — | — | |
| Lumentum Holdings Inc. | — | — | — | — | — | — | |
| Super Micro Computer Inc. | — | — | — | — | — | — | |
Based on: 10-K (reporting date: 2018-10-31), 10-K (reporting date: 2017-10-31), 10-K (reporting date: 2016-10-31), 10-K (reporting date: 2015-10-31), 10-K (reporting date: 2014-10-31), 10-K (reporting date: 2013-10-31).
1 2018 Calculation
Receivables turnover = Net revenue ÷ Accounts receivable, net
= 58,472 ÷ 5,113 = 11.44
2 Click competitor name to see calculations.
The financial data for the period between 2013 and 2018 reveals a significant structural shift in operating activity and a marked improvement in receivables management efficiency. A substantial contraction in both net revenue and accounts receivable occurred between the 2015 and 2016 fiscal years, followed by a period of relative stability and incremental growth.
- Revenue and Asset Contraction
- Net revenue decreased from 103,355 million US dollars in 2015 to 48,238 million US dollars in 2016. Simultaneously, net accounts receivable fell from 13,363 million US dollars to 4,114 million US dollars over the same interval. This sharp reduction in both metrics indicates a fundamental change in the scale of operations occurring in 2016.
- Receivables Turnover Efficiency
- Between 2013 and 2015, the receivables turnover ratio remained relatively stable, ranging from 7.07 to 8.06. A significant increase in efficiency is observed starting in 2016, where the ratio jumped to 11.73. This indicates a more rapid conversion of receivables into cash, reflecting a shorter collection cycle.
- Post-2016 Performance Stabilization
- From 2016 through 2018, the turnover ratio remained consistently elevated, recording values of 11.73, 11.79, and 11.44. While net revenue grew to 58,472 million US dollars and net receivables increased to 5,113 million US dollars by 2018, the ability to maintain a turnover ratio above 11.00 suggests a sustainable improvement in credit management and collection processes compared to the 2013-2015 baseline.
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Payables Turnover
| Oct 31, 2018 | Oct 31, 2017 | Oct 31, 2016 | Oct 31, 2015 | Oct 31, 2014 | Oct 31, 2013 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||
| Cost of revenue | 47,803) | 42,478) | 39,240) | 78,596) | 84,839) | 86,380) | |
| Accounts payable | 14,816) | 13,279) | 11,103) | 15,956) | 15,903) | 14,019) | |
| Short-term Activity Ratio | |||||||
| Payables turnover1 | 3.23 | 3.20 | 3.53 | 4.93 | 5.33 | 6.16 | |
| Benchmarks | |||||||
| Payables Turnover, Competitors2 | |||||||
| Apple Inc. | — | — | — | — | — | — | |
| Arista Networks Inc. | — | — | — | — | — | — | |
| Cisco Systems Inc. | — | — | — | — | — | — | |
| Dell Technologies Inc. | — | — | — | — | — | — | |
| Lumentum Holdings Inc. | — | — | — | — | — | — | |
| Super Micro Computer Inc. | — | — | — | — | — | — | |
Based on: 10-K (reporting date: 2018-10-31), 10-K (reporting date: 2017-10-31), 10-K (reporting date: 2016-10-31), 10-K (reporting date: 2015-10-31), 10-K (reporting date: 2014-10-31), 10-K (reporting date: 2013-10-31).
1 2018 Calculation
Payables turnover = Cost of revenue ÷ Accounts payable
= 47,803 ÷ 14,816 = 3.23
2 Click competitor name to see calculations.
The payables turnover ratio exhibits a consistent downward trend over the analyzed six-year period, indicating a systemic increase in the average time required to settle obligations with suppliers.
- Turnover Ratio Degradation
- The payables turnover ratio declined steadily from 6.16 in 2013 to 3.23 by 2018. This trajectory suggests a strategic shift toward extending payment terms or a decrease in the frequency of supplier payments, effectively increasing the company's reliance on trade credit to fund operations.
- Correlation with Cost of Revenue
- A significant structural shift is observed in 2016, where the cost of revenue dropped sharply from 78,596 million to 39,240 million. Despite this substantial reduction in the volume of purchases and expenditures, the turnover ratio continued its decline, falling from 4.93 in 2015 to 3.53 in 2016, demonstrating that the slowing of payment cycles was independent of the overall reduction in operational scale.
- Recent Stabilization Trends
- The rate of decline decelerated toward the end of the period. After reaching a low of 3.20 in 2017, the ratio remained nearly flat at 3.23 in 2018. This stabilization coincides with a gradual increase in both the cost of revenue and the total accounts payable balance, suggesting that a new equilibrium in supplier credit management has been established.
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Working Capital Turnover
| Oct 31, 2018 | Oct 31, 2017 | Oct 31, 2016 | Oct 31, 2015 | Oct 31, 2014 | Oct 31, 2013 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||
| Current assets | 21,387) | 22,318) | 18,468) | 51,787) | 50,145) | 50,364) | |
| Less: Current liabilities | 25,131) | 22,412) | 18,808) | 42,191) | 43,735) | 45,521) | |
| Working capital | (3,744) | (94) | (340) | 9,596) | 6,410) | 4,843) | |
| Net revenue | 58,472) | 52,056) | 48,238) | 103,355) | 111,454) | 112,298) | |
| Short-term Activity Ratio | |||||||
| Working capital turnover1 | — | — | — | 10.77 | 17.39 | 23.19 | |
| Benchmarks | |||||||
| Working Capital Turnover, Competitors2 | |||||||
| Apple Inc. | — | — | — | — | — | — | |
| Arista Networks Inc. | — | — | — | — | — | — | |
| Cisco Systems Inc. | — | — | — | — | — | — | |
| Dell Technologies Inc. | — | — | — | — | — | — | |
| Lumentum Holdings Inc. | — | — | — | — | — | — | |
| Super Micro Computer Inc. | — | — | — | — | — | — | |
Based on: 10-K (reporting date: 2018-10-31), 10-K (reporting date: 2017-10-31), 10-K (reporting date: 2016-10-31), 10-K (reporting date: 2015-10-31), 10-K (reporting date: 2014-10-31), 10-K (reporting date: 2013-10-31).
1 2018 Calculation
Working capital turnover = Net revenue ÷ Working capital
= 58,472 ÷ -3,744 = —
2 Click competitor name to see calculations.
The financial trajectory from 2013 to 2018 indicates a significant structural transformation in the management of short-term assets and liabilities. A distinct shift occurs between 2015 and 2016, characterized by a substantial contraction in both net revenue and working capital.
- Working Capital Trends
- A period of growth in working capital is observed from 2013 to 2015, increasing from 4,843 million USD to a peak of 9,596 million USD. However, a sharp reversal occurs in 2016, where working capital becomes negative at -340 million USD. This downward trend accelerates through 2018, reaching -3,744 million USD, suggesting a strategic or operational shift toward a negative working capital model where current liabilities exceed current assets.
- Net Revenue Patterns
- Net revenue remained relatively stable between 2013 and 2015, though a slight downward trend was present, moving from 112,298 million USD to 103,355 million USD. A precipitous decline is noted in 2016, with revenue falling to 48,238 million USD. Following this drop, a moderate recovery trend is observed, with revenue increasing steadily to 58,472 million USD by 2018.
- Working Capital Turnover Analysis
- Between 2013 and 2015, the working capital turnover ratio experienced a consistent decline, falling from 23.19 to 10.77. This reduction indicates that for every dollar of working capital employed, the amount of revenue generated decreased significantly. The absence of turnover ratios from 2016 onward coincides with the transition to negative working capital, rendering the traditional turnover metric inapplicable for those periods.
The correlation between the sudden drop in revenue and the shift to negative working capital in 2016 suggests a major corporate restructuring. The transition to a negative working capital position by 2018 implies an aggressive optimization of the cash conversion cycle, potentially utilizing supplier credit to fund operations.
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Average Inventory Processing Period
| Oct 31, 2018 | Oct 31, 2017 | Oct 31, 2016 | Oct 31, 2015 | Oct 31, 2014 | Oct 31, 2013 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Inventory turnover | 7.89 | 7.34 | 8.75 | 12.12 | 13.23 | 14.29 | |
| Short-term Activity Ratio (no. days) | |||||||
| Average inventory processing period1 | 46 | 50 | 42 | 30 | 28 | 26 | |
| Benchmarks (no. days) | |||||||
| Average Inventory Processing Period, Competitors2 | |||||||
| Apple Inc. | — | — | — | — | — | — | |
| Arista Networks Inc. | — | — | — | — | — | — | |
| Cisco Systems Inc. | — | — | — | — | — | — | |
| Dell Technologies Inc. | — | — | — | — | — | — | |
| Lumentum Holdings Inc. | — | — | — | — | — | — | |
| Super Micro Computer Inc. | — | — | — | — | — | — | |
Based on: 10-K (reporting date: 2018-10-31), 10-K (reporting date: 2017-10-31), 10-K (reporting date: 2016-10-31), 10-K (reporting date: 2015-10-31), 10-K (reporting date: 2014-10-31), 10-K (reporting date: 2013-10-31).
1 2018 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 7.89 = 46
2 Click competitor name to see calculations.
Between October 2013 and October 2018, a general degradation in inventory efficiency was observed, marked by a consistent increase in the time required to process inventory. The metrics indicate a slowing of inventory movement that persisted for most of the period before a slight reversal occurred in the final fiscal year.
- Inventory Turnover
- A sustained downward trajectory is evident from 2013 to 2017, with the ratio falling from 14.29 to 7.34. This represents a significant reduction in the frequency with which inventory was cycled throughout the period. A marginal recovery was recorded in 2018, as the ratio increased slightly to 7.89.
- Average Inventory Processing Period
- The number of days required to process inventory rose steadily from 26 days in 2013 to a peak of 50 days in 2017. This expansion of the processing cycle suggests a decrease in operational efficiency regarding stock movement, as the period nearly doubled over four years. In 2018, the period contracted to 46 days, indicating a slight improvement in the speed of inventory conversion.
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Average Receivable Collection Period
| Oct 31, 2018 | Oct 31, 2017 | Oct 31, 2016 | Oct 31, 2015 | Oct 31, 2014 | Oct 31, 2013 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Receivables turnover | 11.44 | 11.79 | 11.73 | 7.73 | 8.06 | 7.07 | |
| Short-term Activity Ratio (no. days) | |||||||
| Average receivable collection period1 | 32 | 31 | 31 | 47 | 45 | 52 | |
| Benchmarks (no. days) | |||||||
| Average Receivable Collection Period, Competitors2 | |||||||
| Apple Inc. | — | — | — | — | — | — | |
| Arista Networks Inc. | — | — | — | — | — | — | |
| Cisco Systems Inc. | — | — | — | — | — | — | |
| Dell Technologies Inc. | — | — | — | — | — | — | |
| Lumentum Holdings Inc. | — | — | — | — | — | — | |
| Super Micro Computer Inc. | — | — | — | — | — | — | |
Based on: 10-K (reporting date: 2018-10-31), 10-K (reporting date: 2017-10-31), 10-K (reporting date: 2016-10-31), 10-K (reporting date: 2015-10-31), 10-K (reporting date: 2014-10-31), 10-K (reporting date: 2013-10-31).
1 2018 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 11.44 = 32
2 Click competitor name to see calculations.
The analysis of receivables management reveals a significant improvement in operational efficiency over the six-year period from 2013 to 2018. The overall trend indicates a successful acceleration of the cash conversion cycle, characterized by a substantial reduction in the time required to collect outstanding payments from customers.
- Receivables Turnover
- The turnover ratio exhibited a general upward trajectory, rising from 7.07 in 2013 to 11.44 in 2018. A notable shift occurred between 2015 and 2016, where the ratio increased sharply from 7.73 to 11.73. This increase suggests a higher frequency of receivable turnover, reflecting more efficient credit management and collection practices.
- Average Receivable Collection Period
- The collection period demonstrates a corresponding downward trend, decreasing from 52 days in 2013 to 32 days in 2018. A critical inflection point is observed in 2016, when the period dropped from 47 days to 31 days. This reduction of 16 days in a single fiscal year indicates a marked improvement in the speed of cash inflows from sales.
- Operational Stability
- Following the efficiency gains achieved in 2016, the metrics entered a phase of relative stability. Between 2016 and 2018, the average collection period remained nearly constant, fluctuating minimally between 31 and 32 days. This suggests that the company successfully institutionalized a more streamlined collection process that remained consistent over the final three years of the period.
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Operating Cycle
| Oct 31, 2018 | Oct 31, 2017 | Oct 31, 2016 | Oct 31, 2015 | Oct 31, 2014 | Oct 31, 2013 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Average inventory processing period | 46 | 50 | 42 | 30 | 28 | 26 | |
| Average receivable collection period | 32 | 31 | 31 | 47 | 45 | 52 | |
| Short-term Activity Ratio | |||||||
| Operating cycle1 | 78 | 81 | 73 | 77 | 73 | 78 | |
| Benchmarks | |||||||
| Operating Cycle, Competitors2 | |||||||
| Apple Inc. | — | — | — | — | — | — | |
| Arista Networks Inc. | — | — | — | — | — | — | |
| Cisco Systems Inc. | — | — | — | — | — | — | |
| Dell Technologies Inc. | — | — | — | — | — | — | |
| Lumentum Holdings Inc. | — | — | — | — | — | — | |
| Super Micro Computer Inc. | — | — | — | — | — | — | |
Based on: 10-K (reporting date: 2018-10-31), 10-K (reporting date: 2017-10-31), 10-K (reporting date: 2016-10-31), 10-K (reporting date: 2015-10-31), 10-K (reporting date: 2014-10-31), 10-K (reporting date: 2013-10-31).
1 2018 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 46 + 32 = 78
2 Click competitor name to see calculations.
The analysis of the operating cycle reveals a period of relative stability in the overall timeframe, despite divergent trends within its two primary components: inventory management and receivables collection.
- Average Inventory Processing Period
- A sustained upward trend is observed from 2013 to 2017, with the period increasing from 26 days to a peak of 50 days. This represents a significant extension in the time required to convert inventory into sales. A slight correction occurred in 2018, where the period decreased to 46 days, although it remained substantially higher than the levels seen at the beginning of the period.
- Average Receivable Collection Period
- A notable improvement in collection efficiency is evident. The collection period decreased from 52 days in 2013 to 32 days by 2018. The most significant reduction occurred between 2015 and 2016, where the period dropped from 47 days to 31 days, suggesting a successful tightening of credit policies or enhanced collection processes.
- Operating Cycle
- The total operating cycle remained remarkably consistent, fluctuating between a minimum of 73 days and a maximum of 81 days. The deterioration in inventory processing speed was effectively offset by the gains in receivable collection efficiency. This inverse correlation between the two components prevented a substantial expansion of the overall cash-to-cash cycle, maintaining a relatively stable operational liquidity profile across the six-year period.
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Average Payables Payment Period
| Oct 31, 2018 | Oct 31, 2017 | Oct 31, 2016 | Oct 31, 2015 | Oct 31, 2014 | Oct 31, 2013 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Payables turnover | 3.23 | 3.20 | 3.53 | 4.93 | 5.33 | 6.16 | |
| Short-term Activity Ratio (no. days) | |||||||
| Average payables payment period1 | 113 | 114 | 103 | 74 | 68 | 59 | |
| Benchmarks (no. days) | |||||||
| Average Payables Payment Period, Competitors2 | |||||||
| Apple Inc. | — | — | — | — | — | — | |
| Arista Networks Inc. | — | — | — | — | — | — | |
| Cisco Systems Inc. | — | — | — | — | — | — | |
| Dell Technologies Inc. | — | — | — | — | — | — | |
| Lumentum Holdings Inc. | — | — | — | — | — | — | |
| Super Micro Computer Inc. | — | — | — | — | — | — | |
Based on: 10-K (reporting date: 2018-10-31), 10-K (reporting date: 2017-10-31), 10-K (reporting date: 2016-10-31), 10-K (reporting date: 2015-10-31), 10-K (reporting date: 2014-10-31), 10-K (reporting date: 2013-10-31).
1 2018 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 3.23 = 113
2 Click competitor name to see calculations.
Analysis of the operating activity ratios from 2013 to 2018 reveals a consistent shift in the management of accounts payable, characterized by a significant extension of the duration required to settle obligations with suppliers.
- Payables Turnover
- A sustained downward trend is observed in the payables turnover ratio, which fell from 6.16 in 2013 to 3.20 in 2017. This decline indicates that the company is clearing its average accounts payable balance less frequently over the course of the year. The ratio demonstrated stabilization toward the end of the period, ending at 3.23 in 2018.
- Average Payables Payment Period
- The average payables payment period shows a marked increase, rising from 59 days in 2013 to a peak of 114 days in 2017. This expansion of the payment cycle represents a substantial increase in the time elapsed before suppliers are paid. The period remained nearly constant in the final year, recording 113 days in 2018.
- Operational Implications
- The inverse relationship between the declining turnover ratio and the increasing payment period suggests a strategic utilization of supplier credit. By extending the payment period from approximately two months to nearly four months, the company has effectively increased its available working capital and improved its short-term liquidity position through the deferral of cash outflows.
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Cash Conversion Cycle
| Oct 31, 2018 | Oct 31, 2017 | Oct 31, 2016 | Oct 31, 2015 | Oct 31, 2014 | Oct 31, 2013 | ||
|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||
| Average inventory processing period | 46 | 50 | 42 | 30 | 28 | 26 | |
| Average receivable collection period | 32 | 31 | 31 | 47 | 45 | 52 | |
| Average payables payment period | 113 | 114 | 103 | 74 | 68 | 59 | |
| Short-term Activity Ratio | |||||||
| Cash conversion cycle1 | -35 | -33 | -30 | 3 | 5 | 19 | |
| Benchmarks | |||||||
| Cash Conversion Cycle, Competitors2 | |||||||
| Apple Inc. | — | — | — | — | — | — | |
| Arista Networks Inc. | — | — | — | — | — | — | |
| Cisco Systems Inc. | — | — | — | — | — | — | |
| Dell Technologies Inc. | — | — | — | — | — | — | |
| Lumentum Holdings Inc. | — | — | — | — | — | — | |
| Super Micro Computer Inc. | — | — | — | — | — | — | |
Based on: 10-K (reporting date: 2018-10-31), 10-K (reporting date: 2017-10-31), 10-K (reporting date: 2016-10-31), 10-K (reporting date: 2015-10-31), 10-K (reporting date: 2014-10-31), 10-K (reporting date: 2013-10-31).
1 2018 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 46 + 32 – 113 = -35
2 Click competitor name to see calculations.
The analysis of operating activity ratios between 2013 and 2018 reveals a significant transformation in working capital management. The most prominent trend is the transition of the cash conversion cycle from a positive to a negative value, indicating a strategic shift in how liquidity is generated and managed relative to the operational cycle.
- Average Inventory Processing Period
- An upward trend is observed in the time required to process inventory, which increased from 26 days in 2013 to a peak of 50 days in 2017, before moderately declining to 46 days in 2018. This growth suggests a deceleration in inventory turnover over the analyzed period.
- Average Receivable Collection Period
- A consistent improvement in the efficiency of collections is evident. The period decreased from 52 days in 2013 to 32 days by 2018, with a notable reduction occurring between 2015 and 2016. This indicates a more rapid conversion of accounts receivable into cash.
- Average Payables Payment Period
- A substantial and steady increase is noted in the duration of payables payments, rising from 59 days in 2013 to 113 days in 2018. This trend reflects an expanded utilization of trade credit, effectively leveraging supplier financing to support operations.
- Cash Conversion Cycle
- The cash conversion cycle experienced a drastic reduction, shifting from 19 days in 2013 to -35 days in 2018. The transition to a negative cycle became evident in 2016. This outcome is primarily driven by the aggressive extension of the payables payment period, which more than offset the increase in inventory processing time. The resulting negative cycle indicates that cash is recovered from sales before the payment for the associated inventory is due to suppliers.
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