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: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31).
An analysis of the operational activity ratios indicates a period of relative stability in inventory and receivables management, contrasted by significant volatility in payables settlement and its subsequent impact on liquidity cycles.
- Inventory and Receivables Management
- Inventory turnover remained relatively consistent, peaking at 5.12 in 2019 before stabilizing at 4.69 by 2022. This is mirrored by the average inventory processing period, which fluctuated within a narrow range between 71 and 79 days. Similarly, the receivables turnover showed minimal variance, with the average collection period remaining stable between 54 and 59 days, suggesting a disciplined and predictable credit collection process.
- Payables and Financing Strategy
- A notable shift occurred in payables management, particularly in 2021. The payables turnover dropped to its lowest point of 5.71, causing the average payables payment period to extend to a five-year peak of 64 days. This indicates a strategic extension of payment terms or a shift in supplier credit arrangements during that period. By 2022, this ratio began to normalize, with the payment period decreasing to 56 days.
- Operational and Cash Conversion Cycles
- The operating cycle experienced a peak of 138 days in 2021, driven largely by a slower inventory processing period. However, the cash conversion cycle exhibited an inverse trend, reaching its most efficient level of 74 days in 2021. This divergence demonstrates that the extension of the payables payment period effectively offset the increase in the operating cycle, thereby accelerating the conversion of resources into cash. The five-year trend for the cash conversion cycle shows a general improvement, moving from 89 days in 2018 to 77 days in 2022.
- Working Capital Utilization
- Working capital turnover peaked in 2020 at 6.55, suggesting a period of high efficiency in utilizing short-term assets and liabilities to generate sales. This ratio subsequently declined and leveled off at 5.30 in 2022, indicating a moderate shift in the relationship between the net working capital investment and annual revenue.
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Inventory Turnover
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of goods sold | 3,476,300) | 3,042,600) | 2,976,700) | 3,238,300) | 3,181,300) | |
| Inventories, net | 740,700) | 662,100) | 607,300) | 633,000) | 651,000) | |
| Short-term Activity Ratio | ||||||
| Inventory turnover1 | 4.69 | 4.60 | 4.90 | 5.12 | 4.89 | |
| Benchmarks | ||||||
| Inventory Turnover, Competitors2 | ||||||
| Boeing Co. | 0.81 | 0.75 | — | — | — | |
| Caterpillar Inc. | 2.54 | 2.53 | — | — | — | |
| Eaton Corp. plc | 4.04 | 4.48 | — | — | — | |
| GE Aerospace | 3.19 | 3.40 | — | — | — | |
| Honeywell International Inc. | 4.04 | 4.29 | — | — | — | |
| Lockheed Martin Corp. | 18.68 | 19.45 | — | — | — | |
| RTX Corp. | 5.03 | 5.65 | — | — | — | |
| Inventory Turnover, Sector | ||||||
| Capital Goods | 2.28 | 2.28 | — | — | — | |
| Inventory Turnover, Industry | ||||||
| Industrials | 4.28 | 4.03 | — | — | — | |
Based on: 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Inventory turnover = Cost of goods sold ÷ Inventories, net
= 3,476,300 ÷ 740,700 = 4.69
2 Click competitor name to see calculations.
Analysis of the five-year period reveals a generally stable yet fluctuating relationship between the cost of goods sold and net inventory levels, resulting in an inventory turnover ratio that consistently remains within a narrow range of 4.60 to 5.12.
- Cost of Goods Sold (COGS) Dynamics
- Expenditures related to the cost of goods sold exhibited volatility, reaching a period low in 2020 at 2.977 billion USD. This was followed by a consistent upward trajectory, culminating in a peak of 3.476 billion USD by December 31, 2022, indicating a significant expansion in operational scale or an increase in the cost of materials.
- Inventory Asset Management
- Net inventories underwent a gradual contraction from 2018 through 2020, falling from 651 million USD to 607.3 million USD. This trend reversed sharply in 2021 and 2022, with inventory levels climbing to 740.7 million USD. The substantial increase in held assets suggests a strategic shift toward higher safety stock levels or potential challenges in inventory liquidation during the final two years of the analyzed period.
- Inventory Turnover Efficiency
- The inventory turnover ratio reached its maximum efficiency in 2019 at 5.12, reflecting an optimal balance between stock levels and sales volume. A downward trend followed, with the ratio hitting a low of 4.60 in 2021. While there was a slight recovery to 4.69 in 2022, the overall trend indicates that inventory is moving more slowly through the system compared to the 2018-2020 period, despite the increase in total cost of goods sold.
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Receivables Turnover
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Net sales | 4,947,900) | 4,194,100) | 4,186,000) | 4,591,000) | 4,481,700) | |
| Accounts receivable, net of allowances | 741,600) | 675,300) | 634,700) | 683,000) | 725,400) | |
| Short-term Activity Ratio | ||||||
| Receivables turnover1 | 6.67 | 6.21 | 6.60 | 6.72 | 6.18 | |
| Benchmarks | ||||||
| Receivables Turnover, Competitors2 | ||||||
| Boeing Co. | 26.46 | 23.58 | — | — | — | |
| Caterpillar Inc. | 6.39 | 5.68 | — | — | — | |
| Eaton Corp. plc | 5.09 | 5.95 | — | — | — | |
| GE Aerospace | 4.09 | 4.55 | — | — | — | |
| Honeywell International Inc. | 4.77 | 5.04 | — | — | — | |
| Lockheed Martin Corp. | 26.34 | 34.15 | — | — | — | |
| RTX Corp. | 7.36 | 6.66 | — | — | — | |
| Receivables Turnover, Sector | ||||||
| Capital Goods | 7.36 | 7.57 | — | — | — | |
| Receivables Turnover, Industry | ||||||
| Industrials | 8.17 | 7.76 | — | — | — | |
Based on: 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Receivables turnover = Net sales ÷ Accounts receivable, net of allowances
= 4,947,900 ÷ 741,600 = 6.67
2 Click competitor name to see calculations.
Analysis of receivables turnover from 2018 to 2022 indicates a stable pattern of credit management and collection efficiency. Despite fluctuations in annual net sales, the company maintained a turnover ratio within a narrow range, suggesting a disciplined and consistent approach to managing outstanding customer accounts across the observed period.
- Net Sales Performance
- Net sales exhibited volatility, with a peak of US$ 4,947,900 thousand recorded in 2022. A contraction was observed in 2020, where sales decreased to US$ 4,186,000 thousand, followed by a recovery in 2021 and a significant upward trend in 2022.
- Accounts Receivable Trends
- Net accounts receivable followed a trajectory closely aligned with sales volumes. Balances decreased from US$ 725,400 thousand in 2018 to a period low of US$ 634,700 thousand in 2020. This was followed by a steady increase, reaching US$ 741,600 thousand by the end of 2022.
- Receivables Turnover Efficiency
- The receivables turnover ratio remained relatively constant, fluctuating between 6.18 in 2018 and 6.72 in 2019. A slight decline to 6.21 occurred in 2021, but the ratio recovered to 6.67 by 2022. This consistency demonstrates that the company has effectively managed its collection cycle, ensuring that the rate of cash recovery from credit sales remained stable regardless of the fluctuations in total revenue.
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Payables Turnover
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Cost of goods sold | 3,476,300) | 3,042,600) | 2,976,700) | 3,238,300) | 3,181,300) | |
| Accounts payable | 529,900) | 532,800) | 378,000) | 347,700) | 393,700) | |
| Short-term Activity Ratio | ||||||
| Payables turnover1 | 6.56 | 5.71 | 7.87 | 9.31 | 8.08 | |
| Benchmarks | ||||||
| Payables Turnover, Competitors2 | ||||||
| Boeing Co. | 6.18 | 6.40 | — | — | — | |
| Caterpillar Inc. | 4.76 | 4.36 | — | — | — | |
| Eaton Corp. plc | 4.51 | 4.75 | — | — | — | |
| GE Aerospace | 2.98 | 3.32 | — | — | — | |
| Honeywell International Inc. | 3.53 | 3.40 | — | — | — | |
| Lockheed Martin Corp. | 27.25 | 74.34 | — | — | — | |
| RTX Corp. | 5.40 | 5.93 | — | — | — | |
| Payables Turnover, Sector | ||||||
| Capital Goods | 5.21 | 5.60 | — | — | — | |
| Payables Turnover, Industry | ||||||
| Industrials | 7.83 | 7.81 | — | — | — | |
Based on: 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Payables turnover = Cost of goods sold ÷ Accounts payable
= 3,476,300 ÷ 529,900 = 6.56
2 Click competitor name to see calculations.
The analysis of payables turnover from 2018 to 2022 reveals a period of volatility in supplier payment efficiency, characterized by a significant decline in turnover rates followed by a partial recovery.
- Payables Turnover Trends
- The payables turnover ratio reached a peak of 9.31 in 2019, indicating the highest frequency of supplier payments within the period. However, a downward trend emerged thereafter, with the ratio falling to 7.87 in 2020 and reaching a low of 5.71 in 2021. A modest recovery was observed in 2022, as the ratio increased to 6.56.
- Accounts Payable Dynamics
- A substantial increase in accounts payable is observed between 2020 and 2021, where balances rose from 378 million to 532.8 million. This surge in obligations contributed directly to the decrease in the turnover ratio, suggesting a strategic extension of payment terms or an increase in credit utilization from suppliers during this window.
- Correlation with Cost of Goods Sold (COGS)
- Cost of goods sold exhibited fluctuations, dipping in 2020 before rising sharply to 3.476 billion in 2022. While COGS reached its five-year peak in 2022, the payables turnover ratio did not return to 2018-2019 levels, indicating that the increase in supplier obligations has remained proportionally higher relative to procurement costs than in previous years.
- Operational Implications
- The transition from a high turnover in 2019 to a lower turnover in 2021 and 2022 suggests a shift in working capital management. The lower turnover ratios in the latter part of the period indicate that the company is taking longer to settle its accounts payable, which effectively increases the amount of interest-free financing provided by vendors.
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Working Capital Turnover
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||
| Current assets | 2,021,400) | 1,879,300) | 1,587,600) | 1,574,200) | 1,643,700) | |
| Less: Current liabilities | 1,088,500) | 1,065,200) | 948,200) | 844,900) | 839,300) | |
| Working capital | 932,900) | 814,100) | 639,400) | 729,300) | 804,400) | |
| Net sales | 4,947,900) | 4,194,100) | 4,186,000) | 4,591,000) | 4,481,700) | |
| Short-term Activity Ratio | ||||||
| Working capital turnover1 | 5.30 | 5.15 | 6.55 | 6.30 | 5.57 | |
| Benchmarks | ||||||
| Working Capital Turnover, Competitors2 | ||||||
| Boeing Co. | 3.42 | 2.34 | — | — | — | |
| Caterpillar Inc. | 4.62 | 3.54 | — | — | — | |
| Eaton Corp. plc | 8.70 | 65.65 | — | — | — | |
| GE Aerospace | 7.93 | 4.94 | — | — | — | |
| Honeywell International Inc. | 7.03 | 5.86 | — | — | — | |
| Lockheed Martin Corp. | 12.93 | 11.52 | — | — | — | |
| RTX Corp. | 20.15 | 9.75 | — | — | — | |
| Working Capital Turnover, Sector | ||||||
| Capital Goods | 6.79 | 5.01 | — | — | — | |
| Working Capital Turnover, Industry | ||||||
| Industrials | 10.34 | 6.90 | — | — | — | |
Based on: 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Working capital turnover = Net sales ÷ Working capital
= 4,947,900 ÷ 932,900 = 5.30
2 Click competitor name to see calculations.
The analysis of working capital turnover from 2018 to 2022 reveals a fluctuating trend in operational efficiency and capital utilization. While the company experienced a period of increasing efficiency through 2020, a subsequent increase in working capital levels has led to a contraction in the turnover ratio in the latter part of the period.
- Working Capital Trends
- Working capital exhibited a U-shaped trajectory, decreasing from 804.4 million USD in 2018 to a low of 639.4 million USD in 2020. Following this trough, there was a significant upward trend, with levels rising to 814.1 million USD in 2021 and reaching a period peak of 932.9 million USD by the end of 2022.
- Net Sales Performance
- Net sales showed volatility during the five-year window. After a slight increase in 2019, sales declined to 4.186 billion USD in 2020. A period of stagnation followed in 2021, before a substantial recovery in 2022, where net sales reached 4.947 billion USD, the highest value in the analyzed timeframe.
- Working Capital Turnover Analysis
- The turnover ratio improved from 5.57 in 2018 to a peak of 6.55 in 2020, indicating an increase in the efficiency of utilizing short-term assets and liabilities to generate revenue. However, this trend reversed in 2021, with the ratio dropping to 5.15, and saw only a marginal recovery to 5.30 in 2022.
The observed data indicates that the peak in turnover efficiency in 2020 was primarily driven by a reduction in working capital rather than an increase in sales. The subsequent decline in the turnover ratio during 2021 and 2022 suggests that the expansion of working capital occurred at a faster rate than the growth in net sales, resulting in a lower relative efficiency of operating capital compared to the 2019-2020 period.
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Average Inventory Processing Period
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Inventory turnover | 4.69 | 4.60 | 4.90 | 5.12 | 4.89 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average inventory processing period1 | 78 | 79 | 74 | 71 | 75 | |
| Benchmarks (no. days) | ||||||
| Average Inventory Processing Period, Competitors2 | ||||||
| Boeing Co. | 452 | 486 | — | — | — | |
| Caterpillar Inc. | 144 | 144 | — | — | — | |
| Eaton Corp. plc | 90 | 82 | — | — | — | |
| GE Aerospace | 114 | 107 | — | — | — | |
| Honeywell International Inc. | 90 | 85 | — | — | — | |
| Lockheed Martin Corp. | 20 | 19 | — | — | — | |
| RTX Corp. | 73 | 65 | — | — | — | |
| Average Inventory Processing Period, Sector | ||||||
| Capital Goods | 160 | 160 | — | — | — | |
| Average Inventory Processing Period, Industry | ||||||
| Industrials | 85 | 91 | — | — | — | |
Based on: 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 4.69 = 78
2 Click competitor name to see calculations.
The analysis of inventory management efficiency from 2018 to 2022 reveals a period of relative stability with a slight decline in operational velocity after 2019. The relationship between inventory turnover and the average processing period demonstrates a consistent inverse correlation, reflecting the time required to convert inventory into sales.
- Inventory Turnover
- The inventory turnover ratio peaked in 2019 at 5.12, indicating the highest level of inventory efficiency during the observed period. Following this peak, a downward trend occurred, with the ratio falling to 4.90 in 2020 and reaching a low of 4.60 in 2021. A marginal recovery was noted in 2022, as the ratio rose slightly to 4.69. This movement suggests a slight decrease in the frequency with which inventory was replaced over the five-year span.
- Average Inventory Processing Period
- The average inventory processing period mirrored the turnover trends, reaching its most efficient point in 2019 at 71 days. Subsequently, the processing period extended to 74 days in 2020 and further increased to 79 days in 2021. In 2022, the period remained elevated but saw a slight reduction to 78 days. The increase in days suggests a slower movement of goods through the operating cycle between 2019 and 2021.
- Operational Efficiency Trends
- The data indicates that the most efficient inventory cycle occurred in 2019. The expansion of the processing period and the corresponding decrease in turnover from 2020 through 2021 point to a period of slower inventory liquidation. However, the stabilization observed in 2022 suggests that the inventory processing cycle has leveled off, remaining approximately three to four days longer than the 2018 baseline.
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Average Receivable Collection Period
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Receivables turnover | 6.67 | 6.21 | 6.60 | 6.72 | 6.18 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average receivable collection period1 | 55 | 59 | 55 | 54 | 59 | |
| Benchmarks (no. days) | ||||||
| Average Receivable Collection Period, Competitors2 | ||||||
| Boeing Co. | 14 | 15 | — | — | — | |
| Caterpillar Inc. | 57 | 64 | — | — | — | |
| Eaton Corp. plc | 72 | 61 | — | — | — | |
| GE Aerospace | 89 | 80 | — | — | — | |
| Honeywell International Inc. | 77 | 72 | — | — | — | |
| Lockheed Martin Corp. | 14 | 11 | — | — | — | |
| RTX Corp. | 50 | 55 | — | — | — | |
| Average Receivable Collection Period, Sector | ||||||
| Capital Goods | 50 | 48 | — | — | — | |
| Average Receivable Collection Period, Industry | ||||||
| Industrials | 45 | 47 | — | — | — | |
Based on: 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 6.67 = 55
2 Click competitor name to see calculations.
The analysis of short-term activity ratios indicates a consistent pattern of receivables management between 2018 and 2022. The relationship between the turnover ratio and the collection period demonstrates a stable operating cycle with minimal volatility.
- Receivables Turnover
- The turnover ratio exhibited a non-linear trend, beginning at 6.18 in 2018 and reaching a peak of 6.72 in 2019. A subsequent decline was observed through 2021, where the ratio dipped to 6.21, before recovering to 6.67 by the end of 2022. This indicates a general capacity to maintain a steady rate of credit recovery throughout the analyzed period.
- Average Receivable Collection Period
- The collection period mirrors the inverse movements of the turnover ratio, fluctuating between a minimum of 54 days in 2019 and a maximum of 59 days in 2018 and 2021. The reduction to 55 days in 2022 suggests an improvement in the efficiency of converting outstanding invoices into cash compared to the previous year.
Overall, the narrow range of these metrics suggests that credit and collection policies remained disciplined. The company successfully maintained its collection cycle within a five-day variance window over the five-year duration, indicating a predictable and controlled cash conversion process for receivables.
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Operating Cycle
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 78 | 79 | 74 | 71 | 75 | |
| Average receivable collection period | 55 | 59 | 55 | 54 | 59 | |
| Short-term Activity Ratio | ||||||
| Operating cycle1 | 133 | 138 | 129 | 125 | 134 | |
| Benchmarks | ||||||
| Operating Cycle, Competitors2 | ||||||
| Boeing Co. | 466 | 501 | — | — | — | |
| Caterpillar Inc. | 201 | 208 | — | — | — | |
| Eaton Corp. plc | 162 | 143 | — | — | — | |
| GE Aerospace | 203 | 187 | — | — | — | |
| Honeywell International Inc. | 167 | 157 | — | — | — | |
| Lockheed Martin Corp. | 34 | 30 | — | — | — | |
| RTX Corp. | 123 | 120 | — | — | — | |
| Operating Cycle, Sector | ||||||
| Capital Goods | 210 | 208 | — | — | — | |
| Operating Cycle, Industry | ||||||
| Industrials | 130 | 138 | — | — | — | |
Based on: 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 78 + 55 = 133
2 Click competitor name to see calculations.
The operating cycle exhibited fluctuations over the five-year period ending December 31, 2022, with a general trend of stability punctuated by a peak in 2021. The duration of the cycle ranged from a minimum of 125 days in 2019 to a maximum of 138 days in 2021, suggesting a consistent operational cadence in the conversion of inventory and receivables into cash.
- Average Inventory Processing Period
- A slight increase in the time required to process inventory is observable. After reaching a low of 71 days in 2019, the period climbed to 79 days by 2021 before settling at 78 days in 2022. This upward movement suggests a modest expansion in the time inventory is held prior to sale.
- Average Receivable Collection Period
- The collection period remained remarkably stable, fluctuating within a narrow range of five days. The period moved from 59 days in 2018 to 55 days by 2022, indicating a consistent efficiency in managing accounts receivable and credit collections.
- Operating Cycle
- The total operating cycle demonstrates a strong correlation with inventory processing trends. The cycle contracted to 125 days in 2019 and expanded to 138 days in 2021, largely mirroring the volatility in inventory turnover. The final value of 133 days in 2022 represents a slight reduction from the 2021 peak, reflecting a marginal improvement in the overall operating efficiency.
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Average Payables Payment Period
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Payables turnover | 6.56 | 5.71 | 7.87 | 9.31 | 8.08 | |
| Short-term Activity Ratio (no. days) | ||||||
| Average payables payment period1 | 56 | 64 | 46 | 39 | 45 | |
| Benchmarks (no. days) | ||||||
| Average Payables Payment Period, Competitors2 | ||||||
| Boeing Co. | 59 | 57 | — | — | — | |
| Caterpillar Inc. | 77 | 84 | — | — | — | |
| Eaton Corp. plc | 81 | 77 | — | — | — | |
| GE Aerospace | 123 | 110 | — | — | — | |
| Honeywell International Inc. | 103 | 107 | — | — | — | |
| Lockheed Martin Corp. | 13 | 5 | — | — | — | |
| RTX Corp. | 68 | 62 | — | — | — | |
| Average Payables Payment Period, Sector | ||||||
| Capital Goods | 70 | 65 | — | — | — | |
| Average Payables Payment Period, Industry | ||||||
| Industrials | 47 | 47 | — | — | — | |
Based on: 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 6.56 = 56
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals significant fluctuations in the management of accounts payable between 2018 and 2022. A general trend toward extended payment terms is observed, particularly peaking in 2021, followed by a partial correction in 2022.
- Payables Turnover Analysis
- The payables turnover ratio exhibited volatility over the five-year period. After reaching a peak of 9.31 in 2019, the ratio declined steadily to a low of 5.71 in 2021. A moderate recovery occurred in 2022, with the ratio rising to 6.56. This downward trajectory through 2021 indicates a reduction in the frequency with which obligations to suppliers were settled.
- Average Payables Payment Period Trends
- The average payment period remained relatively consistent between 2018 and 2020, fluctuating between 39 and 46 days. A sharp increase was recorded in 2021, where the period extended to 64 days, marking the longest duration of the analyzed period. In 2022, the payment period decreased to 56 days, though it remained notably higher than the 2018-2020 levels.
- Working Capital Insights
- The inverse correlation between the turnover ratio and the payment period is evident. The extension of the payment cycle to 64 days in 2021 suggests a strategic shift to preserve cash flow or a change in supplier credit terms. While the 2022 data indicates a trend toward normalizing payment cycles, the company continues to operate with a longer payables duration compared to its 2019 efficiency peak of 39 days.
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Cash Conversion Cycle
| Dec 31, 2022 | Dec 31, 2021 | Dec 31, 2020 | Dec 31, 2019 | Dec 31, 2018 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||
| Average inventory processing period | 78 | 79 | 74 | 71 | 75 | |
| Average receivable collection period | 55 | 59 | 55 | 54 | 59 | |
| Average payables payment period | 56 | 64 | 46 | 39 | 45 | |
| Short-term Activity Ratio | ||||||
| Cash conversion cycle1 | 77 | 74 | 83 | 86 | 89 | |
| Benchmarks | ||||||
| Cash Conversion Cycle, Competitors2 | ||||||
| Boeing Co. | 407 | 444 | — | — | — | |
| Caterpillar Inc. | 124 | 124 | — | — | — | |
| Eaton Corp. plc | 81 | 66 | — | — | — | |
| GE Aerospace | 80 | 77 | — | — | — | |
| Honeywell International Inc. | 64 | 50 | — | — | — | |
| Lockheed Martin Corp. | 21 | 25 | — | — | — | |
| RTX Corp. | 55 | 58 | — | — | — | |
| Cash Conversion Cycle, Sector | ||||||
| Capital Goods | 140 | 143 | — | — | — | |
| Cash Conversion Cycle, Industry | ||||||
| Industrials | 83 | 91 | — | — | — | |
Based on: 10-K (reporting date: 2022-12-31), 10-K (reporting date: 2021-12-31), 10-K (reporting date: 2020-12-31), 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31).
1 2022 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 78 + 55 – 56 = 77
2 Click competitor name to see calculations.
The cash conversion cycle demonstrates a general trend of improvement over the five-year period, decreasing from 89 days in 2018 to 77 days by 2022. The most significant efficiency gain occurred between 2020 and 2021, when the cycle reached a minimum of 74 days, before experiencing a slight increase in 2022.
- Average Inventory Processing Period
- Inventory turnover remained relatively stable, fluctuating within a narrow range of 71 to 79 days. A slight upward trend was observed between 2019 and 2021, with a marginal decrease to 78 days in 2022, indicating a consistent, though not improving, pace of inventory movement.
- Average Receivable Collection Period
- The period for collecting receivables exhibited minimal volatility, consistently remaining between 54 and 59 days. This stability suggests a disciplined credit management policy and a predictable cadence of cash inflows from customers over the analyzed timeframe.
- Average Payables Payment Period
- Significant variance is noted in the payment of payables. After remaining relatively stable between 2018 and 2020, the period increased sharply to 64 days in 2021. Although this figure moderated to 56 days in 2022, the overall trend reflects a shift toward longer payment terms compared to the 2018-2020 baseline.
Analysis indicates that the overall reduction in the cash conversion cycle was primarily driven by the extension of the payables payment period rather than operational gains in inventory or receivable management. The increase in the time taken to pay suppliers acted as a primary lever in reducing the net liquidity gap, effectively offsetting the slight increases observed in inventory processing times.
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