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: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
The operational activity ratios indicate a high level of efficiency in managing short-term assets and a strategic shift in the timing of cash flows between 2015 and 2019. There is a visible trend toward optimizing the cash conversion cycle, moving from a positive position to a negative one, which suggests that the company is increasingly financing its operations through supplier credit rather than internal capital.
- Inventory and Receivables Management
- Inventory turnover remains consistently high, fluctuating between 25.82 and 32.11, which corresponds to a brief average inventory processing period of 11 to 14 days. Receivables turnover showed a slight decline through 2018, reaching a low of 16.42, but recovered strongly in 2019 to a peak of 21.39. This recovery is reflected in the average receivable collection period, which dropped from 22 days in 2018 to 17 days in 2019, indicating improved efficiency in credit collection.
- Payables and Working Capital Utilization
- Payables turnover experienced a decline in 2018, dropping to 9.97, which extended the average payables payment period to 37 days. This extension of payment terms provided a significant liquidity buffer during that period. Simultaneously, working capital turnover demonstrated a steady upward trajectory, increasing from 6.31 in 2015 to 8.87 in 2019, signifying a more efficient use of net current assets to generate sales revenue.
- Operating and Cash Conversion Cycles
- The operating cycle, which combines the inventory processing and receivable collection periods, remained relatively stable between 28 and 36 days. However, the cash conversion cycle exhibited a clear downward trend, moving from 2 days in 2015 to -3 days in 2019. This negative value indicates that the company collects cash from customers and sells its inventory faster than it is required to pay its suppliers, effectively creating a source of spontaneous financing.
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Inventory Turnover
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||
| Cost of sales, products and services | 21,413) | 19,573) | 19,076) | 17,947) | 17,574) | |
| Inventories | 671) | 758) | 594) | 659) | 635) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 31.91 | 25.82 | 32.11 | 27.23 | 27.68 | |
| Benchmarks | ||||||
| Inventory Turnover, Competitors2 | ||||||
| Boeing Co. | — | — | — | — | — | |
| Caterpillar Inc. | — | — | — | — | — | |
| Eaton Corp. plc | — | — | — | — | — | |
| GE Aerospace | — | — | — | — | — | |
| Honeywell International Inc. | — | — | — | — | — | |
| Lockheed Martin Corp. | — | — | — | — | — | |
| RTX Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Inventory turnover = Cost of sales, products and services ÷ Inventories
= 21,413 ÷ 671 = 31.91
2 Click competitor name to see calculations.
Analysis of short-term operating activity indicates a period of steady growth in the cost of sales coupled with fluctuating inventory levels, resulting in a variable but generally high inventory turnover ratio between 2015 and 2019.
- Cost of Sales Trends
- A consistent upward trajectory is observed in the cost of sales, products, and services, which rose from 17,574 million US dollars in 2015 to 21,413 million US dollars in 2019. This steady increase reflects a sustained expansion in operational volume or rising production costs over the five-year period.
- Inventory Level Management
- Inventory holdings exhibited a non-linear pattern, characterized by periodic fluctuations. Levels reached a five-year low of 594 million US dollars in 2017 before spiking to a peak of 758 million US dollars in 2018. A subsequent reduction to 671 million US dollars in 2019 suggests a strategic adjustment in stock levels to align with operational requirements.
- Inventory Turnover Performance
- The inventory turnover ratio remained high throughout the period but demonstrated volatility, oscillating between a minimum of 25.82 in 2018 and a maximum of 32.11 in 2017. The peak in 2017 was driven by the combination of increasing cost of sales and the lowest observed inventory levels. The decline in 2018 is directly correlated with the significant increase in inventory holdings. The return to a ratio of 31.91 in 2019 indicates a restoration of inventory efficiency and high asset turnover velocity.
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Receivables Turnover
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||
| Net sales | 29,176) | 27,058) | 25,348) | 24,069) | 23,247) | |
| Receivables, net | 1,364) | 1,648) | 1,324) | 1,218) | 1,169) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 21.39 | 16.42 | 19.15 | 19.76 | 19.89 | |
| Benchmarks | ||||||
| Receivables Turnover, Competitors2 | ||||||
| Boeing Co. | — | — | — | — | — | |
| Caterpillar Inc. | — | — | — | — | — | |
| Eaton Corp. plc | — | — | — | — | — | |
| GE Aerospace | — | — | — | — | — | |
| Honeywell International Inc. | — | — | — | — | — | |
| Lockheed Martin Corp. | — | — | — | — | — | |
| RTX Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Receivables turnover = Net sales ÷ Receivables, net
= 29,176 ÷ 1,364 = 21.39
2 Click competitor name to see calculations.
Net sales exhibited consistent year-over-year growth throughout the analyzed period, rising from US$ 23,247 million in 2015 to US$ 29,176 million by 2019. Net receivables followed a general upward trajectory from 2015 through 2018, peaking at US$ 1,648 million, before experiencing a notable contraction to US$ 1,364 million in 2019.
- Receivables Turnover Trend
- A gradual decline in the receivables turnover ratio was observed between 2015 and 2018, with the ratio falling from 19.89 to 16.42. This downward movement suggests a period of decreasing efficiency in collecting outstanding payments or a potential shift toward more lenient credit terms offered to customers.
- Operational Recovery in 2019
- The turnover ratio shifted sharply in 2019, increasing to 21.39, the highest level recorded in the five-year sequence. This recovery indicates a significant improvement in credit management and liquidity, as the company managed to increase sales while simultaneously reducing the total balance of net receivables.
- Correlation Analysis
- The divergence between net sales and net receivables in 2019 is the primary driver of the improved turnover ratio. While sales grew by approximately 7.7% between 2018 and 2019, net receivables decreased by approximately 17.3%, resulting in a more aggressive collection cycle.
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Payables Turnover
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||
| Cost of sales, products and services | 21,413) | 19,573) | 19,076) | 17,947) | 17,574) | |
| Accounts payable | 1,796) | 1,964) | 1,519) | 1,520) | 1,402) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 11.92 | 9.97 | 12.56 | 11.81 | 12.53 | |
| Benchmarks | ||||||
| Payables Turnover, Competitors2 | ||||||
| Boeing Co. | — | — | — | — | — | |
| Caterpillar Inc. | — | — | — | — | — | |
| Eaton Corp. plc | — | — | — | — | — | |
| GE Aerospace | — | — | — | — | — | |
| Honeywell International Inc. | — | — | — | — | — | |
| Lockheed Martin Corp. | — | — | — | — | — | |
| RTX Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Payables turnover = Cost of sales, products and services ÷ Accounts payable
= 21,413 ÷ 1,796 = 11.92
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a steady growth in the cost of sales alongside fluctuating management of accounts payable over the five-year period ending December 31, 2019.
- Cost of Sales Trends
- A consistent upward trajectory in the cost of sales is evident, rising from US$ 17,574 million in 2015 to US$ 21,413 million in 2019. This steady increase indicates an expansion in operational scale or an increase in the direct costs associated with the production of goods and services.
- Accounts Payable Dynamics
- Accounts payable demonstrated general growth but experienced significant volatility between 2017 and 2019. A notable increase occurred in 2018, where obligations rose to US$ 1,964 million from US$ 1,519 million in the preceding year, before moderating to US$ 1,796 million in 2019.
- Payables Turnover Performance
- The payables turnover ratio remained relatively stable between 2015 and 2017, fluctuating slightly between 11.81 and 12.56. A significant decline was observed in 2018, with the ratio dropping to 9.97. This contraction suggests a slower turnover of payables, implying a lengthening of the payment cycle to suppliers during that fiscal year. The ratio subsequently recovered to 11.92 in 2019, signaling a return to payment patterns closely aligned with historical levels.
Overall, the evidence suggests that while the scale of operations expanded, there was a temporary shift in supplier payment management in 2018, characterized by a higher volume of outstanding payables relative to the cost of sales, which was corrected by the end of 2019.
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Working Capital Turnover
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||
| Current assets | 13,082) | 12,136) | 11,326) | 10,678) | 9,812) | |
| Less: Current liabilities | 9,791) | 8,288) | 7,348) | 6,427) | 6,126) | |
| Working capital | 3,291) | 3,848) | 3,978) | 4,251) | 3,686) | |
| Net sales | 29,176) | 27,058) | 25,348) | 24,069) | 23,247) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | 8.87 | 7.03 | 6.37 | 5.66 | 6.31 | |
| Benchmarks | ||||||
| Working Capital Turnover, Competitors2 | ||||||
| Boeing Co. | — | — | — | — | — | |
| Caterpillar Inc. | — | — | — | — | — | |
| Eaton Corp. plc | — | — | — | — | — | |
| GE Aerospace | — | — | — | — | — | |
| Honeywell International Inc. | — | — | — | — | — | |
| Lockheed Martin Corp. | — | — | — | — | — | |
| RTX Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Working capital turnover = Net sales ÷ Working capital
= 29,176 ÷ 3,291 = 8.87
2 Click competitor name to see calculations.
An analysis of the short-term operating activity between 2015 and 2019 reveals a strengthening relationship between working capital utilization and revenue generation. While net sales grew consistently throughout the period, working capital experienced a peak in 2016 followed by a sustained decrease, resulting in a significant overall increase in the working capital turnover ratio.
- Net Sales Performance
- Revenue demonstrated a steady upward trajectory, increasing from 23,247 million US$ in 2015 to 29,176 million US$ in 2019. This reflects a consistent annual expansion of the company's top-line growth over the five-year observation period.
- Working Capital Trends
- Working capital increased from 3,686 million US$ in 2015 to a peak of 4,251 million US$ in 2016. Following this peak, a downward trend is observed, with values declining annually to reach 3,291 million US$ by the end of 2019. This suggests a reduction in the net current assets required to maintain operations.
- Working Capital Turnover Efficiency
- The working capital turnover ratio experienced an initial decline to 5.66 in 2016, coinciding with the peak in working capital. However, the ratio recovered and accelerated upward thereafter, reaching 8.87 in 2019. The divergence between rising sales and declining working capital indicates a marked improvement in operational efficiency, as more revenue is being generated per unit of working capital invested.
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Average Inventory Processing Period
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Inventory turnover | 31.91 | 25.82 | 32.11 | 27.23 | 27.68 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 11 | 14 | 11 | 13 | 13 | |
| Benchmarks (no. days) | ||||||
| Average Inventory Processing Period, Competitors2 | ||||||
| Boeing Co. | — | — | — | — | — | |
| Caterpillar Inc. | — | — | — | — | — | |
| Eaton Corp. plc | — | — | — | — | — | |
| GE Aerospace | — | — | — | — | — | |
| Honeywell International Inc. | — | — | — | — | — | |
| Lockheed Martin Corp. | — | — | — | — | — | |
| RTX Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 31.91 = 11
2 Click competitor name to see calculations.
The analysis of inventory activity from 2015 to 2019 reveals a consistent pattern of high operational efficiency with minimal volatility in the inventory cycle. The data indicates a lean approach to inventory management, characterized by rapid turnover and short processing windows.
- Inventory Turnover Trends
- The inventory turnover ratio exhibited fluctuations over the five-year period, beginning at 27.68 in 2015 and peaking at 32.11 in 2017. A notable contraction occurred in 2018, where the ratio declined to its lowest point of 25.82. However, a strong recovery was observed in 2019, with the ratio returning to 31.91, nearly matching the peak efficiency levels seen in 2017.
- Average Inventory Processing Period
- The processing period remained remarkably stable, ranging between a minimum of 11 days and a maximum of 14 days. The period held steady at 13 days during 2015 and 2016 before improving to 11 days in 2017. A marginal increase to 14 days in 2018 aligned with the decrease in turnover ratio, followed by a return to 11 days in 2019.
- Operational Correlation and Efficiency
- A direct inverse correlation is evident between the turnover ratio and the processing period. The heightened efficiency observed in 2017 and 2019 suggests an optimized flow of materials and finished goods. The temporary increase in the processing period during 2018 indicates a brief slowdown in inventory movement, though the rapid correction in 2019 suggests that this was a transient deviation rather than a structural decline in operational performance.
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Average Receivable Collection Period
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Receivables turnover | 21.39 | 16.42 | 19.15 | 19.76 | 19.89 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 17 | 22 | 19 | 18 | 18 | |
| Benchmarks (no. days) | ||||||
| Average Receivable Collection Period, Competitors2 | ||||||
| Boeing Co. | — | — | — | — | — | |
| Caterpillar Inc. | — | — | — | — | — | |
| Eaton Corp. plc | — | — | — | — | — | |
| GE Aerospace | — | — | — | — | — | |
| Honeywell International Inc. | — | — | — | — | — | |
| Lockheed Martin Corp. | — | — | — | — | — | |
| RTX Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 21.39 = 17
2 Click competitor name to see calculations.
An analysis of short-term operating activity indicates a period of relative stability followed by a transient decrease in collection efficiency and a subsequent strong recovery in the final year of the observed period.
- Receivables Turnover
- The turnover ratio exhibited a gradual decline from 19.89 in 2015 to 19.15 in 2017, followed by a more pronounced contraction to 16.42 in 2018. This downward trend was reversed in 2019, as the ratio increased to 21.39, marking the highest point of efficiency within the five-year timeframe.
- Average Receivable Collection Period
- The collection period remained constant at 18 days through 2016 before increasing to 19 days in 2017 and peaking at 22 days in 2018. This expansion in the time required to collect receivables corresponds directly with the dip in the turnover ratio. By 2019, the collection period improved to 17 days, reflecting a more aggressive or efficient credit collection process than in any previous year analyzed.
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Operating Cycle
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 11 | 14 | 11 | 13 | 13 | |
| Average receivable collection period | 17 | 22 | 19 | 18 | 18 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 28 | 36 | 30 | 31 | 31 | |
| Benchmarks | ||||||
| Operating Cycle, Competitors2 | ||||||
| Boeing Co. | — | — | — | — | — | |
| Caterpillar Inc. | — | — | — | — | — | |
| Eaton Corp. plc | — | — | — | — | — | |
| GE Aerospace | — | — | — | — | — | |
| Honeywell International Inc. | — | — | — | — | — | |
| Lockheed Martin Corp. | — | — | — | — | — | |
| RTX Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 11 + 17 = 28
2 Click competitor name to see calculations.
The analysis of short-term operating activity from 2015 to 2019 reveals a relatively stable operating cycle with a notable peak in efficiency loss during 2018, followed by a significant improvement in 2019. The overall trend indicates a consistent ability to manage the conversion of inventory and receivables into cash, with the most efficient cycle occurring at the end of the period.
- Average Inventory Processing Period
- The period required to process inventory remained low and stable throughout the five-year duration, fluctuating minimally between 11 and 14 days. A slight decrease was noted in 2017 and 2019, both reaching 11 days, while 2018 saw a marginal increase to 14 days. This suggests a highly consistent inventory management strategy with little volatility.
- Average Receivable Collection Period
- The collection of receivables showed greater variance than inventory processing. After remaining steady at 18 to 19 days between 2015 and 2017, the collection period lengthened to 22 days in 2018. However, this trend reversed sharply in 2019, with the period dropping to 17 days, the lowest point in the analyzed timeframe.
- Operating Cycle
- The total operating cycle reflects the combined impact of inventory and receivable periods. The cycle remained constant at 31 days in 2015 and 2016, before slightly improving to 30 days in 2017. A peak of 36 days occurred in 2018, driven primarily by the increase in the receivable collection period. By 2019, the operating cycle improved to 28 days, indicating an accelerated cash conversion process compared to the start of the period.
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Average Payables Payment Period
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Payables turnover | 11.92 | 9.97 | 12.56 | 11.81 | 12.53 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 31 | 37 | 29 | 31 | 29 | |
| Benchmarks (no. days) | ||||||
| Average Payables Payment Period, Competitors2 | ||||||
| Boeing Co. | — | — | — | — | — | |
| Caterpillar Inc. | — | — | — | — | — | |
| Eaton Corp. plc | — | — | — | — | — | |
| GE Aerospace | — | — | — | — | — | |
| Honeywell International Inc. | — | — | — | — | — | |
| Lockheed Martin Corp. | — | — | — | — | — | |
| RTX Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 11.92 = 31
2 Click competitor name to see calculations.
The analysis of operating activity ratios indicates a generally stable management of accounts payable from 2015 to 2019, with a notable period of volatility occurring in 2018. The company maintained a consistent payment cycle for the majority of the period, suggesting a standardized approach to supplier obligations.
- Payables Turnover
- The turnover ratio remained relatively steady between 2015 and 2017, fluctuating within a narrow range from 11.81 to 12.56. A significant decline was observed in 2018, where the ratio dropped to 9.97, representing the lowest efficiency in clearing payables during the analyzed timeframe. By 2019, the ratio recovered to 11.92, returning to levels consistent with the 2015-2017 baseline.
- Average Payables Payment Period
- The payment period exhibited minimal variance between 2015 and 2017, oscillating between 29 and 31 days. In 2018, there was a pronounced increase to 37 days, indicating a temporary extension in the time taken to settle obligations with vendors. This extension aligns with the dip in the turnover ratio for the same year. The period subsequently normalized to 31 days in 2019, suggesting that the drivers behind the 2018 extension were transient in nature.
Overall, the correlation between the decline in turnover and the increase in the payment period during 2018 highlights a specific shift in short-term liquidity management or a change in credit terms during that fiscal year. The rapid return to prior levels in 2019 suggests a restoration of standard operating procedures regarding supplier payments.
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Cash Conversion Cycle
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 11 | 14 | 11 | 13 | 13 | |
| Average receivable collection period | 17 | 22 | 19 | 18 | 18 | |
| Average payables payment period | 31 | 37 | 29 | 31 | 29 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | -3 | -1 | 1 | 0 | 2 | |
| Benchmarks | ||||||
| Cash Conversion Cycle, Competitors2 | ||||||
| Boeing Co. | — | — | — | — | — | |
| Caterpillar Inc. | — | — | — | — | — | |
| Eaton Corp. plc | — | — | — | — | — | |
| GE Aerospace | — | — | — | — | — | |
| Honeywell International Inc. | — | — | — | — | — | |
| Lockheed Martin Corp. | — | — | — | — | — | |
| RTX Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
1 2019 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 11 + 17 – 31 = -3
2 Click competitor name to see calculations.
The operating activity ratios demonstrate a progressive improvement in working capital efficiency from 2015 through 2019. The most significant development is the transition of the cash conversion cycle from a positive duration to a negative one, suggesting that the entity is now generating cash from sales and inventory liquidation before the necessity of settling obligations with suppliers.
- Average Inventory Processing Period
- The processing period remained relatively stable throughout the analyzed timeframe, fluctuating within a narrow range of 11 to 14 days. A minimum of 11 days was reached in both 2017 and 2019, indicating a consistent and efficient inventory turnover rate.
- Average Receivable Collection Period
- Collection efficiency exhibited minor volatility, maintaining a range between 17 and 22 days. A peak in the collection period occurred in 2018 at 22 days, which was subsequently reduced to 17 days in 2019, representing the shortest collection timeframe in the observed period.
- Average Payables Payment Period
- Payment terms showed the highest degree of variance, ranging from 29 to 37 days. A notable extension occurred in 2018, when the period reached 37 days, effectively increasing the duration for which the entity could utilize cash before fulfilling supplier obligations.
- Cash Conversion Cycle
- A steady downward trend is observed, moving from 2 days in 2015 to -3 days by 2019. This shift into negative territory indicates a highly favorable liquidity position where the entity effectively finances its operations through its accounts payable, as the payment period exceeds the combined time required to process inventory and collect receivables.
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