Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Short-term Activity Ratios (Summary)
Based on: 10-K (reporting date: 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 analysis of short-term operating activity between 2015 and 2019 reveals a period of volatility centered around 2017, followed by a consistent trend toward operational recovery and efficiency improvement.
- Inventory and Operating Cycle Efficiency
- A significant decline in inventory turnover is observed, dropping from 7.53 in 2015 to a low of 4.67 in 2017. This corresponds with a sharp increase in the average inventory processing period, which peaked at 78 days in 2017. Consequently, the overall operating cycle extended from 88 days in 2015 to 121 days in 2017. While these metrics improved slightly by 2019, with inventory turnover reaching 5.12 and the operating cycle contracting to 104 days, they did not return to 2015 levels.
- Receivables Management
- Receivables turnover exhibited a positive trajectory in the latter half of the period, increasing from 8.56 in 2017 to 11.10 by 2019. This efficiency gain is reflected in the average receivable collection period, which decreased steadily from a peak of 43 days in 2017 to 33 days in 2019, indicating an acceleration in the conversion of receivables into cash.
- Payables and Working Capital Utilization
- Payables turnover decreased to a minimum of 7.73 in 2017, coinciding with the longest average payables payment period of 47 days. This suggests a strategic or necessary extension of payment terms to suppliers during that year. Working capital turnover mirrored this volatility, falling sharply from 14.80 in 2015 to 5.92 in 2017, before recovering to 13.21 by 2019.
- Cash Conversion Cycle (CCC)
- The cash conversion cycle reflects the aggregate impact of the aforementioned trends. After a slight improvement in 2016 (56 days), the CCC spiked to 74 days in 2017, driven primarily by the slowdown in inventory turnover. In the subsequent two years, the cycle gradually compressed to 68 days by the end of 2019, aided largely by the improved collection of receivables.
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Turnover Ratios
Average No. Days
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 revenue | 32,291) | 29,478) | 24,786) | 25,104) | 25,339) | |
| Inventories | 6,306) | 5,977) | 5,303) | 3,523) | 3,366) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 5.12 | 4.93 | 4.67 | 7.13 | 7.53 | |
| 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 revenue ÷ Inventories
= 32,291 ÷ 6,306 = 5.12
2 Click competitor name to see calculations.
Between 2015 and 2019, a general decline in inventory management efficiency is observed, characterized by a reduction in the inventory turnover ratio. While cost of revenue experienced significant growth in the latter part of the period, this growth was preceded and accompanied by a more aggressive increase in inventory levels, which exerted downward pressure on the turnover rate.
- Cost of Revenue Trajectory
- The cost of revenue remained relatively stagnant from 2015 to 2017, fluctuating slightly around the 25 billion USD mark. A sharp increase occurred starting in 2018, with values rising to 29.48 billion USD and further increasing to 32.29 billion USD by 2019, indicating an expansion in production or sales volume during the final two years of the period.
- Inventory Accumulation
- Inventories showed a consistent upward trend throughout the five-year period. A particularly notable surge occurred between 2016 and 2017, when inventory levels rose from 3.52 billion USD to 5.30 billion USD. By the end of 2019, inventories reached 6.31 billion USD, representing nearly a doubling of held stock compared to 2015 levels.
- Inventory Turnover Performance
- The inventory turnover ratio decreased significantly from 7.53 in 2015 to a period low of 4.67 in 2017. This decline indicates a slowing of the cycle required to convert inventory into revenue. Although the ratio saw a slight recovery to 5.12 by 2019, it remained substantially lower than the 2015-2016 levels, suggesting that the increase in inventory holdings outpaced the growth in the cost of revenue.
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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) | ||||||
| Revenue | 39,350) | 36,193) | 30,973) | 31,353) | 31,469) | |
| Accounts receivable | 3,544) | 3,759) | 3,617) | 3,611) | 3,446) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 11.10 | 9.63 | 8.56 | 8.68 | 9.13 | |
| 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 = Revenue ÷ Accounts receivable
= 39,350 ÷ 3,544 = 11.10
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a fluctuating yet ultimately improving trend in the efficiency of receivables management between 2015 and 2019.
- Revenue and Receivables Correlation
- From 2015 to 2017, revenue experienced a marginal decline, moving from 31,469 million to 30,973 million. During this same period, accounts receivable increased from 3,446 million to 3,617 million. This combination of stagnant sales and rising receivables led to a contraction in the receivables turnover ratio, which fell from 9.13 in 2015 to 8.56 in 2017.
- Accelerated Efficiency (2018-2019)
- A significant shift occurred starting in 2018, characterized by substantial revenue growth. Revenue climbed to 36,193 million in 2018 and further to 39,350 million in 2019. Concurrently, accounts receivable peaked in 2018 at 3,759 million before declining to 3,544 million in 2019. This divergence—increasing sales paired with a reduction in outstanding receivables—resulted in a sharp increase in the turnover ratio, which rose to 9.63 in 2018 and peaked at 11.10 by the end of 2019.
- Operational Implications
- The upward trajectory of the receivables turnover ratio in the latter part of the period indicates a marked improvement in the company's ability to convert credit sales into cash. The increase from 8.56 in 2017 to 11.10 in 2019 suggests more effective credit collection policies or a shift in the timing of payments from customers, thereby enhancing liquidity and reducing the average collection period.
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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 revenue | 32,291) | 29,478) | 24,786) | 25,104) | 25,339) | |
| Accounts payable | 3,162) | 3,179) | 3,207) | 2,538) | 1,964) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 10.21 | 9.27 | 7.73 | 9.89 | 12.90 | |
| 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 revenue ÷ Accounts payable
= 32,291 ÷ 3,162 = 10.21
2 Click competitor name to see calculations.
An analysis of the operating activity ratios reveals a fluctuating trend in payables turnover between 2015 and 2019, characterized by an initial contraction followed by a period of recovery.
- Payables Turnover Volatility
- The payables turnover ratio experienced a significant decline from 12.90 in 2015 to a low of 7.73 in 2017. This downward trajectory coincided with a substantial increase in accounts payable, which rose from 1,964 million US$ to 3,207 million US$, while the cost of revenue remained relatively stagnant. This pattern indicates a period of slowing payment velocity, suggesting that the company extended its payment terms with suppliers or increased its reliance on trade credit to manage working capital.
- Operational Volume and Ratio Recovery
- A reversal in the trend occurred after 2017, with the turnover ratio climbing to 9.27 in 2018 and further to 10.21 in 2019. This improvement was primarily driven by a sharp escalation in the cost of revenue, which increased from 24,786 million US$ in 2017 to 32,291 million US$ in 2019. Because accounts payable remained stabilized between 3,162 million US$ and 3,179 million US$ during this period, the increased volume of purchases relative to the outstanding debt resulted in a higher turnover rate.
- Relationship Between Payables and Revenue Costs
- The data highlights a decoupling of liability growth from operational costs after 2017. In the first three years of the analyzed period, accounts payable grew at a rate that outpaced the cost of revenue, depressing the turnover ratio. Conversely, in the final two years, the cost of revenue grew aggressively while payables remained flat, leading to a more efficient cycle of supplier payments relative to total procurement costs.
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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 | 19,780) | 18,189) | 18,328) | 15,447) | 14,571) | |
| Less: Current liabilities | 16,801) | 14,739) | 13,099) | 12,846) | 12,445) | |
| Working capital | 2,979) | 3,450) | 5,229) | 2,601) | 2,126) | |
| Revenue | 39,350) | 36,193) | 30,973) | 31,353) | 31,469) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | 13.21 | 10.49 | 5.92 | 12.05 | 14.80 | |
| 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 = Revenue ÷ Working capital
= 39,350 ÷ 2,979 = 13.21
2 Click competitor name to see calculations.
The analysis of operating activity between 2015 and 2019 reveals a period of significant volatility in working capital management, characterized by a sharp decline in efficiency mid-period followed by a strong recovery. While revenue remained relatively stagnant for the first three years, it experienced accelerated growth in the final two years of the observed period.
- Working Capital Turnover Trends
- The working capital turnover ratio exhibited a V-shaped trajectory. Starting at 14.80 in 2015, the ratio declined steadily to a low of 5.92 in 2017. This represents a substantial decrease in the efficiency with which working capital was utilized to generate sales. However, a recovery phase began in 2018, with the ratio climbing back to 10.49 and reaching 13.21 by 2019, nearly returning to 2015 levels.
- Working Capital Fluctuations
- A significant increase in working capital is observed leading up to 2017, where it peaked at US$ 5,229 million, more than doubling its 2015 value of US$ 2,126 million. This spike in invested operating liquidity directly correlated with the trough in the turnover ratio. Following 2017, working capital was reduced to US$ 3,450 million in 2018 and further to US$ 2,979 million in 2019, indicating a strategic contraction or optimization of short-term assets and liabilities.
- Revenue Correlation
- Revenue figures remained nearly flat from 2015 to 2017, hovering around the US$ 31 billion mark. The inefficiency observed in 2017 was therefore driven primarily by the surge in working capital rather than a collapse in sales. From 2018 onward, a strong upward trend in revenue is evident, rising to US$ 36,193 million and eventually US$ 39,350 million by 2019. This revenue expansion, paired with the reduction in working capital, served as the primary driver for the restoration of the turnover ratio.
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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 | 5.12 | 4.93 | 4.67 | 7.13 | 7.53 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 71 | 74 | 78 | 51 | 48 | |
| 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 ÷ 5.12 = 71
2 Click competitor name to see calculations.
The analyzed period reveals a significant shift in inventory management efficiency, characterized by a sharp decline in performance in 2017 followed by a gradual trend toward recovery through 2019.
- Inventory Turnover
- A downward trend is observed between 2015 and 2017, with the turnover ratio decreasing from 7.53 to 4.67. This represents a substantial reduction in the frequency with which inventory is replaced during the operating cycle. Following the 2017 low, a marginal recovery is noted, as the ratio increased to 4.93 in 2018 and further to 5.12 in 2019, although it remained well below the levels recorded at the start of the period.
- Average Inventory Processing Period
- The duration required to process inventory remained relatively stable between 2015 and 2016, moving from 48 to 51 days. However, a significant increase occurred in 2017, where the period peaked at 78 days. Subsequent years show a steady contraction in this timeframe, descending to 74 days in 2018 and 71 days in 2019. Despite this improvement, the processing period at the end of 2019 remained approximately 48% longer than the 2015 baseline.
The inverse correlation between inventory turnover and the processing period is evident. The spike in processing days in 2017 directly corresponds with the lowest recorded turnover ratio, indicating a period of reduced operational liquidity regarding inventory assets. The subsequent movement in both metrics suggests a focused effort to optimize inventory levels and accelerate the conversion of stock into sales.
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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 | 11.10 | 9.63 | 8.56 | 8.68 | 9.13 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 33 | 38 | 43 | 42 | 40 | |
| 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 ÷ 11.10 = 33
2 Click competitor name to see calculations.
The analysis of short-term activity ratios indicates a fluctuating but ultimately positive trend in credit management efficiency between 2015 and 2019. An initial decline in collection efficiency was observed during the first three years, followed by a robust recovery and improvement in the final two years of the period.
- Receivables Turnover
- The turnover ratio experienced a moderate decline from 9.13 in 2015 to a period low of 8.56 in 2017. However, a subsequent acceleration occurred, with the ratio increasing to 9.63 in 2018 and reaching a peak of 11.10 by December 31, 2019. This upward trajectory in the final years suggests an increase in the frequency with which accounts receivable are converted into cash.
- Average Receivable Collection Period
- The collection period moved inversely to the turnover ratio, lengthening from 40 days in 2015 to a peak of 43 days in 2017. A significant improvement in the cash flow cycle was observed thereafter, as the collection period dropped to 38 days in 2018 and further decreased to 33 days in 2019. The reduction to 33 days represents the most efficient collection performance within the five-year window.
The correlation between the increasing turnover ratio and the decreasing collection period from 2018 to 2019 indicates a strengthening of the company's liquidity position regarding its operating receivables. The transition from a 43-day collection cycle in 2017 to a 33-day cycle in 2019 demonstrates an enhanced ability to realize credit sales more rapidly.
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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 | 71 | 74 | 78 | 51 | 48 | |
| Average receivable collection period | 33 | 38 | 43 | 42 | 40 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 104 | 112 | 121 | 93 | 88 | |
| 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
= 71 + 33 = 104
2 Click competitor name to see calculations.
The operating cycle reflects a period of volatility between 2015 and 2019, characterized by a significant expansion peaking in 2017 followed by a gradual trend toward efficiency recovery.
- Average Inventory Processing Period
- A substantial increase in the duration required to process inventory is observed, rising from 48 days in 2015 to a peak of 78 days in 2017. Although a moderate decline followed, ending at 71 days in 2019, the processing period remained significantly elevated compared to the 2015-2016 baseline.
- Average Receivable Collection Period
- Collection efficiency remained relatively stable through 2017, after which a consistent downward trend occurred. The period decreased from a high of 43 days in 2017 to 33 days in 2019, indicating an acceleration in the conversion of accounts receivable into cash.
- Operating Cycle
- The total operating cycle expanded from 88 days in 2015 to 121 days in 2017, a change driven primarily by the surge in inventory processing time. While the cycle contracted to 104 days by 2019 due to improvements in both inventory and receivable management, the overall duration remained longer than the levels observed at the beginning 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 | 10.21 | 9.27 | 7.73 | 9.89 | 12.90 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 36 | 39 | 47 | 37 | 28 | |
| 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 ÷ 10.21 = 36
2 Click competitor name to see calculations.
The analysis of short-term operating activity ratios indicates a fluctuating cycle in the management of accounts payable between 2015 and 2019. A clear inverse relationship exists between the payables turnover ratio and the average payables payment period, reflecting shifts in the efficiency and timing of supplier payments.
- Payables Turnover
- A downward trend is observed from 2015 to 2017, with the ratio declining from 12.90 to a period low of 7.73. This contraction suggests a slower rate of clearing accounts payable during this window. However, a recovery phase followed, with the ratio increasing to 9.27 in 2018 and reaching 10.21 by 2019, indicating an improvement in the frequency of payable settlements.
- Average Payables Payment Period
- The payment duration mirrored the turnover trend, increasing from 28 days in 2015 to a peak of 47 days in 2017. This extension represents a significant increase in the time taken to settle obligations to suppliers. Following the 2017 peak, the period shortened to 39 days in 2018 and further to 36 days in 2019, signaling a return toward a more accelerated payment cycle.
- Operational Implications
- The data suggests a strategic expansion of payment terms or a shift in working capital management that peaked in 2017. The subsequent reduction in the payment period through 2019 indicates a transition back toward more frequent settlements, which may reflect changes in supplier agreements or an intentional adjustment in liquidity management.
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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 | 71 | 74 | 78 | 51 | 48 | |
| Average receivable collection period | 33 | 38 | 43 | 42 | 40 | |
| Average payables payment period | 36 | 39 | 47 | 37 | 28 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | 68 | 73 | 74 | 56 | 60 | |
| 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
= 71 + 33 – 36 = 68
2 Click competitor name to see calculations.
The cash conversion cycle experienced notable volatility between 2015 and 2019, characterized by a significant peak in 2017 followed by a period of gradual contraction. The overall cycle shifted from 60 days in 2015 to 68 days in 2019, reflecting fluctuating efficiencies in working capital management and operational throughput.
- Average Inventory Processing Period
- A substantial increase in the inventory processing period was observed between 2016 and 2017, rising from 51 days to 78 days. While a downward trend followed in 2018 and 2019, reaching 71 days, the period remained significantly elevated compared to the 48-day baseline established in 2015, indicating a long-term increase in the time required to move inventory through the production cycle.
- Average Receivable Collection Period
- Collection efficiency demonstrated a steady improvement in the latter half of the analyzed period. After reaching a peak of 43 days in 2017, the collection period declined consistently to 33 days by 2019. This trend indicates an enhanced ability to convert credit sales into cash more rapidly toward the end of the five-year window.
- Average Payables Payment Period
- The payables payment period underwent a significant extension from 28 days in 2015 to a peak of 47 days in 2017. This expansion suggests a strategic shift toward delaying cash outflows to suppliers. Following 2017, the period moderated to 36 days by 2019, though it remained higher than the initial 2015 levels.
- Cash Conversion Cycle Synthesis
- The volatility of the cash conversion cycle was primarily driven by the sharp rise in inventory processing time in 2017. Although the simultaneous extension of the payables payment period served to partially offset this liquidity strain, the net effect was a peak cycle of 74 days in 2017. The subsequent reduction to 68 days by 2019 was supported by the marked improvement in receivable collection speeds and a moderate reduction in inventory hold times.
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