Stock Analysis on Net

Analysis of Short-term (Operating) Activity Ratios 
Quarterly Data

Microsoft Excel

Short-term Activity Ratios (Summary)

Caterpillar Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Turnover Ratios
Inventory turnover 2.40 2.47 2.20 2.16 2.21 2.39 2.36 2.42 2.50 2.58 2.47 2.42 2.38 2.54 2.36 2.40 2.46
Receivables turnover 5.86 5.86 6.02 6.14 6.56 6.61 6.85 6.69 6.86 6.86 6.95 6.56 6.37 6.39 6.59 6.10 5.46
Payables turnover 4.88 4.99 4.78 4.69 5.07 5.24 5.31 5.47 5.44 5.41 5.54 5.09 4.68 4.76 4.81 4.72 4.43
Working capital turnover 5.30 4.02 4.42 5.04 5.73 4.58 4.89 6.61 5.64 5.23 4.27 5.29 4.25 4.62 4.35 3.93 3.83
Average No. Days
Average inventory processing period 152 148 166 169 165 153 155 151 146 141 148 151 154 144 155 152 148
Add: Average receivable collection period 62 62 61 59 56 55 53 55 53 53 53 56 57 57 55 60 67
Operating cycle 214 210 227 228 221 208 208 206 199 194 201 207 211 201 210 212 215
Less: Average payables payment period 75 73 76 78 72 70 69 67 67 67 66 72 78 77 76 77 82
Cash conversion cycle 139 137 151 150 149 138 139 139 132 127 135 135 133 124 134 135 133

Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).


The analysis of short-term operating activity ratios reveals a period of fluctuation in operational efficiency, characterized by a general lengthening of the cash conversion cycle toward the latter half of the observed period. While certain efficiency gains were realized between 2022 and early 2024, a subsequent reversal is evident in the inventory and receivables metrics through 2025 and early 2026.

Inventory Management
Inventory turnover remained relatively stable between 2.36 and 2.58 from March 2022 through December 2023. However, a decline is observed starting in 2024, reaching a low of 2.16 in June 2025. This corresponds with an increase in the average inventory processing period, which peaked at 169 days in June 2025, indicating a slowdown in the movement of goods and a potential increase in stock levels relative to sales.
Receivables Management
The receivables turnover exhibited an improving trend from March 2022 (5.46) to a peak in September 2023 (6.95), reflecting an acceleration in credit collection. This efficiency is mirrored in the average receivable collection period, which dropped from 67 days to a low of 53 days. Following this peak, a gradual decline in turnover is observed, with the collection period extending back to 62 days by March 2026, suggesting a loosening of credit terms or slower customer payments.
Payables Management
Payables turnover increased from 4.43 in March 2022 to 5.54 in September 2023, indicating a faster rate of payment to suppliers. The average payables payment period reached its minimum of 66 days during this same window. Subsequently, the turnover ratio decreased toward 4.88 by March 2026, and the payment period extended to 75 days, signaling a strategic shift toward retaining cash longer by extending supplier payment timelines.
Operating and Cash Conversion Cycles
The operating cycle showed a downward trend from 215 days in early 2022 to a low of 194 days in December 2023, before rising to a peak of 228 days in June 2025. The cash conversion cycle (CCC) followed a similar trajectory, fluctuating between 124 and 151 days. The peak CCC in September 2025 indicates a period of diminished liquidity efficiency, primarily driven by the simultaneous increase in inventory processing and receivable collection times.
Working Capital Efficiency
Working capital turnover demonstrated significant volatility, with a notable peak of 6.61 in June 2024. This suggests periods of high asset utilization relative to the working capital base, though the ratio declined sharply thereafter, reaching 4.02 in December 2025 before recovering to 5.30 in March 2026.

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Turnover Ratios


Average No. Days


Inventory Turnover

Caterpillar Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Cost of goods sold 11,306 13,307 11,673 10,807 8,965 10,321 10,066 10,150 9,662 11,016 10,583 11,065 10,103 11,614 10,202 9,975 9,559
Inventories 19,626 18,135 18,958 18,595 17,862 16,827 17,312 17,082 16,953 16,565 17,580 17,746 17,633 16,270 16,860 15,881 15,038
Short-term Activity Ratio
Inventory turnover1 2.40 2.47 2.20 2.16 2.21 2.39 2.36 2.42 2.50 2.58 2.47 2.42 2.38 2.54 2.36 2.40 2.46
Benchmarks
Inventory Turnover, Competitors2
Boeing Co. 1.01 1.01 0.97 0.86 0.80 0.78 0.85 0.78 0.82 0.88 0.87 0.88 0.83 0.81 0.78 0.74 0.74
Eaton Corp. plc 3.50 3.63 3.57 3.51 3.55 3.64 3.66 3.81 3.85 3.95 3.93 3.93 3.94 4.04 3.95 3.87 4.03
GE Aerospace 2.50 2.44 2.35 2.29 2.34 2.49 3.29 4.08 2.58 3.05 3.02 3.15 3.32 3.19 3.10 3.04 3.25
Honeywell International Inc. 3.73 3.83 3.52 3.45 3.59 3.70 3.73 3.69 3.65 3.72 3.76 3.82 3.90 4.04 4.09 4.06 4.20
Lockheed Martin Corp. 15.93 19.13 17.97 17.84 17.94 18.46 19.41 20.21 18.67 18.87 17.88 16.82 16.63 18.68 18.09 16.20 18.12
RTX Corp. 5.09 5.30 4.97 4.77 4.83 5.12 4.74 4.64 4.76 4.83 4.60 4.68 4.81 5.03 5.03 5.14 5.33

Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q1 2026 Calculation
Inventory turnover = (Cost of goods soldQ1 2026 + Cost of goods soldQ4 2025 + Cost of goods soldQ3 2025 + Cost of goods soldQ2 2025) ÷ Inventories
= (11,306 + 13,307 + 11,673 + 10,807) ÷ 19,626 = 2.40

2 Click competitor name to see calculations.


The analysis of inventory activity between March 2022 and March 2026 reveals a period of fluctuating operational efficiency characterized by a general increase in inventory holdings. While the inventory turnover ratio remained relatively stable within a range of 2.36 to 2.58 during the initial period, a notable decline occurred through the first half of 2025 before a subsequent recovery. This volatility reflects a shifting balance between stock accumulation and the cost of goods sold.

Inventory Level Trends
Inventories exhibited a consistent upward trajectory, increasing from 15,038 million USD in March 2022 to 19,626 million USD by March 2026. This steady expansion of the inventory asset base indicates a long-term increase in the volume of goods held, which has put downward pressure on the turnover ratio when not matched by proportional increases in sales volume.
Cost of Goods Sold (COGS) Dynamics
COGS demonstrated significant cyclical fluctuations over the analyzed period. Values generally ranged between 9,000 and 12,000 million USD, with a prominent peak of 13,307 million USD occurring in December 2025. This spike in COGS served as a primary driver for the temporary improvement in efficiency observed toward the end of 2025.
Inventory Turnover Performance
The turnover ratio reached a high of 2.58 in December 2022, suggesting peak efficiency in stock rotation during that period. A period of diminished efficiency was observed between March 2024 and September 2025, with the ratio hitting a trough of 2.16 in June 2025. This decline suggests a temporary mismatch where inventory growth outpaced the cost of sales. The ratio subsequently recovered to 2.40 by March 2026, aligning with the historical average.

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Receivables Turnover

Caterpillar Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Sales of Machinery, Power & Energy 16,473 18,202 16,726 15,674 13,378 15,332 15,231 15,840 14,960 16,237 15,988 16,545 15,099 15,871 14,278 13,539 12,886
Receivables, trade and other 11,447 10,920 10,146 9,704 9,116 9,282 9,086 9,421 9,296 9,310 9,134 9,416 9,230 8,856 8,158 8,393 9,135
Short-term Activity Ratio
Receivables turnover1 5.86 5.86 6.02 6.14 6.56 6.61 6.85 6.69 6.86 6.86 6.95 6.56 6.37 6.39 6.59 6.10 5.46
Benchmarks
Receivables Turnover, Competitors2
Boeing Co. 26.45 30.63 24.37 23.61 21.67 25.28 25.33 23.31 25.83 29.37 24.99 24.99 24.65 26.46 22.98 20.27 25.37
Eaton Corp. plc 4.48 5.10 4.79 4.74 4.97 5.39 5.04 4.97 5.06 5.18 5.07 5.01 5.05 5.09 5.28 5.15 5.39
GE Aerospace 3.60 3.59 3.78 3.61 3.73 3.77 4.90 6.13 3.90 4.17 4.61 4.67 5.00 4.09 4.19 4.39 4.43
Honeywell International Inc. 4.67 4.91 4.46 4.43 4.64 4.92 4.80 4.81 4.94 4.87 4.65 4.52 4.57 4.77 4.74 4.45 4.82
Lockheed Martin Corp. 32.35 19.24 19.08 21.73 35.48 30.22 33.30 24.26 30.86 31.69 28.14 19.67 25.61 26.34 26.06 18.87 26.02
RTX Corp. 6.98 6.03 6.70 6.75 7.15 7.36 7.83 7.06 6.91 6.36 6.67 7.13 6.81 7.36 7.15 6.28 7.15

Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q1 2026 Calculation
Receivables turnover = (Sales of Machinery, Power & EnergyQ1 2026 + Sales of Machinery, Power & EnergyQ4 2025 + Sales of Machinery, Power & EnergyQ3 2025 + Sales of Machinery, Power & EnergyQ2 2025) ÷ Receivables, trade and other
= (16,473 + 18,202 + 16,726 + 15,674) ÷ 11,447 = 5.86

2 Click competitor name to see calculations.


The analysis of receivables turnover reflects a period of initial efficiency gains followed by a gradual decline in collection effectiveness toward the end of the observed timeframe.

Sales Volume Trends
Sales of Machinery, Power & Energy exhibited an overall upward trajectory, increasing from 12,886 million USD in March 2022 to a peak of 18,202 million USD in December 2025. Despite this growth, the figures show periodic volatility, with notable contractions occurring in March 2024 and March 2026.
Receivables Balance Evolution
Trade and other receivables remained relatively stable, fluctuating between 8,158 million USD and 9,421 million USD from March 2022 through June 2024. A distinct shift occurred starting in June 2025, where receivables began a consistent climb, reaching 11,447 million USD by March 2026. This suggests a significant accumulation of outstanding credit in the final year of the period.
Receivables Turnover Efficiency
The turnover ratio improved from 5.46 in March 2022 to a peak of 6.95 in September 2023, indicating an increase in the velocity of credit recovery. This efficiency remained relatively stable throughout 2024. However, a downward trend emerged in mid-2025, with the ratio falling to 5.86 by March 2026. The decline in the ratio correlates with the rapid increase in receivables, signaling that the growth in outstanding balances outpaced sales growth, thereby extending the average collection cycle.

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Payables Turnover

Caterpillar Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Cost of goods sold 11,306 13,307 11,673 10,807 8,965 10,321 10,066 10,150 9,662 11,016 10,583 11,065 10,103 11,614 10,202 9,975 9,559
Accounts payable 9,641 8,968 8,729 8,563 7,792 7,675 7,705 7,575 7,778 7,906 7,827 8,443 8,951 8,689 8,260 8,092 8,361
Short-term Activity Ratio
Payables turnover1 4.88 4.99 4.78 4.69 5.07 5.24 5.31 5.47 5.44 5.41 5.54 5.09 4.68 4.76 4.81 4.72 4.43
Benchmarks
Payables Turnover, Competitors2
Boeing Co. 6.40 6.50 6.81 6.72 6.43 6.03 5.79 5.61 5.92 5.86 6.18 6.28 6.37 6.18 6.36 6.17 6.73
Eaton Corp. plc 3.67 4.11 4.31 4.27 4.26 4.18 4.24 4.31 4.38 4.39 4.48 4.52 4.55 4.51 4.61 4.43 4.67
GE Aerospace 2.89 2.87 2.88 2.72 2.85 3.07 4.08 5.01 2.99 3.27 3.26 3.41 3.57 2.98 3.14 3.14 3.32
Honeywell International Inc. 3.94 3.74 3.43 3.40 3.52 3.46 3.56 3.60 3.57 3.36 3.51 3.49 3.50 3.53 3.68 3.63 3.66
Lockheed Martin Corp. 14.39 18.58 17.57 18.06 16.89 28.85 19.48 19.07 17.38 25.56 15.51 16.97 17.65 27.25 21.48 24.07 21.92
RTX Corp. 4.51 4.46 4.72 4.98 4.89 5.07 5.40 5.54 5.60 5.31 5.37 5.54 5.42 5.40 5.82 5.36 6.28

Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q1 2026 Calculation
Payables turnover = (Cost of goods soldQ1 2026 + Cost of goods soldQ4 2025 + Cost of goods soldQ3 2025 + Cost of goods soldQ2 2025) ÷ Accounts payable
= (11,306 + 13,307 + 11,673 + 10,807) ÷ 9,641 = 4.88

2 Click competitor name to see calculations.


The analysis of payables turnover reveals a cyclical pattern of supplier payment efficiency, characterized by a period of acceleration in payment velocity followed by a gradual return to baseline levels and a strategic expansion of short-term liabilities.

Efficiency Trends and Peak Velocity
A consistent upward trend in the payables turnover ratio is observed from March 2022 (4.43) through September 2023, where the ratio reached a peak of 5.54. This increase indicates a higher frequency of supplier payments relative to the cost of goods sold, suggesting a period of aggressive liability reduction or a shortening of payment terms during this window.
Working Capital Shift and Payables Expansion
Following the peak in late 2023, the turnover ratio entered a gradual decline, settling between 4.69 and 4.88 from June 2025 through March 2026. This downward movement correlates with a marked increase in accounts payable, which rose from a low of 7,575 million USD in June 2024 to 9,641 million USD by March 2026. This shift indicates a strategic move toward utilizing supplier credit as a source of short-term financing, thereby extending the average payment period.
Correlation with Cost of Goods Sold (COGS)
The payables turnover ratio demonstrated relative stability despite significant volatility in the cost of goods sold. Even during a substantial spike in COGS to 13,307 million USD in December 2025, the turnover ratio remained stable within the 4.69 to 4.99 range. This suggests that the management of supplier obligations was maintained independently of the fluctuations in production costs, reflecting a controlled approach to operating liquidity.

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Working Capital Turnover

Caterpillar Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data (US$ in millions)
Current assets 48,568 52,485 49,818 46,755 43,019 45,682 44,946 43,096 43,664 46,949 48,005 47,000 45,660 43,785 42,577 41,982 42,570
Less: Current liabilities 35,902 36,558 35,991 34,934 32,595 32,272 32,218 33,564 32,371 34,728 33,124 35,314 31,842 31,531 30,202 28,963 29,532
Working capital 12,666 15,927 13,827 11,821 10,424 13,410 12,728 9,532 11,293 12,221 14,881 11,686 13,818 12,254 12,375 13,019 13,038
 
Sales of Machinery, Power & Energy 16,473 18,202 16,726 15,674 13,378 15,332 15,231 15,840 14,960 16,237 15,988 16,545 15,099 15,871 14,278 13,539 12,886
Short-term Activity Ratio
Working capital turnover1 5.30 4.02 4.42 5.04 5.73 4.58 4.89 6.61 5.64 5.23 4.27 5.29 4.25 4.62 4.35 3.93 3.83
Benchmarks
Working Capital Turnover, Competitors2
Boeing Co. 4.96 4.40 4.29 3.15 2.89 2.15 6.04 4.13 5.76 5.78 5.46 4.80 4.61 3.42 3.13 2.87 2.51
Eaton Corp. plc 12.60 9.20 10.02 11.29 8.69 6.31 5.84 5.33 5.58 5.91 6.61 6.16 7.01 8.70 10.69
GE Aerospace 134.54 26.19 14.05 28.44 13.68 10.83 9.60 11.15 6.93 7.24 8.11 5.70 5.87 7.93 13.29 10.55 7.14
Honeywell International Inc. 4.43 5.37 4.91 6.16 6.87 5.79 4.39 8.63 3.37 7.39 5.98 5.16 7.79 7.03 7.91 8.84 8.07
Lockheed Martin Corp. 25.12 37.02 24.76 44.49 29.25 13.20 15.88 13.24 18.85 11.04 10.56 12.81 12.93 14.03 14.28 15.14
RTX Corp. 63.20 57.24 22.14 257.23 279.93 23.64 41.62 44.25 16.99 12.76 20.15 19.15 17.77 11.41

Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q1 2026 Calculation
Working capital turnover = (Sales of Machinery, Power & EnergyQ1 2026 + Sales of Machinery, Power & EnergyQ4 2025 + Sales of Machinery, Power & EnergyQ3 2025 + Sales of Machinery, Power & EnergyQ2 2025) ÷ Working capital
= (16,473 + 18,202 + 16,726 + 15,674) ÷ 12,666 = 5.30

2 Click competitor name to see calculations.


The working capital turnover ratio exhibits a period of significant volatility, characterized by an initial upward trajectory, a pronounced peak in mid-2024, and a subsequent correction followed by a recent recovery. These fluctuations reflect a dynamic relationship between the investment in short-term operating assets and the resulting sales of machinery, power, and energy.

Trend Analysis of Turnover Efficiency
Between March 31, 2022, and December 31, 2022, a consistent increase in efficiency is observed, with the ratio rising from 3.83 to 4.62. Throughout 2023, the ratio displayed cyclical instability, fluctuating between 4.25 and 5.29. This suggests periodic adjustments in working capital levels to support fluctuating quarterly sales volumes.
Analysis of Maximum Asset Utilization
The highest point of operational efficiency occurred on June 30, 2024, where the working capital turnover ratio reached 6.61. This peak was driven by a simultaneous contraction of working capital to its lowest observed level of 9,532 million US dollars and a strong sales performance of 15,840 million US dollars, indicating a highly lean utilization of short-term resources.
Working Capital Expansion and Ratio Correction
A downward trend in the turnover ratio was evident through much of 2025, reaching a low of 4.02 by December 31, 2025. This decline corresponds directly with a significant expansion in working capital, which peaked at 15,927 million US dollars. This indicates that the growth in short-term assets outpaced the growth in sales during this period, thereby reducing the efficiency of the working capital investment.
Recent Performance and Recovery
The most recent data from March 31, 2026, shows a recovery in the turnover ratio to 5.30. This improvement was achieved through a reduction in working capital to 12,666 million US dollars, which effectively increased the turnover ratio despite a quarterly decrease in sales to 16,473 million US dollars.

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Average Inventory Processing Period

Caterpillar Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Inventory turnover 2.40 2.47 2.20 2.16 2.21 2.39 2.36 2.42 2.50 2.58 2.47 2.42 2.38 2.54 2.36 2.40 2.46
Short-term Activity Ratio (no. days)
Average inventory processing period1 152 148 166 169 165 153 155 151 146 141 148 151 154 144 155 152 148
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Boeing Co. 363 363 377 424 459 466 428 470 443 415 419 416 438 452 468 494 493
Eaton Corp. plc 104 101 102 104 103 100 100 96 95 92 93 93 93 90 92 94 90
GE Aerospace 146 150 156 160 156 147 111 89 141 120 121 116 110 114 118 120 112
Honeywell International Inc. 98 95 104 106 102 99 98 99 100 98 97 96 94 90 89 90 87
Lockheed Martin Corp. 23 19 20 20 20 20 19 18 20 19 20 22 22 20 20 23 20
RTX Corp. 72 69 73 77 76 71 77 79 77 76 79 78 76 73 73 71 69

Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q1 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.40 = 152

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a fluctuating but generally stable cycle of inventory management. The average inventory processing period demonstrates a cyclical pattern, oscillating between a minimum of 141 days and a maximum of 169 days over the evaluated period, indicating variable efficiency in converting inventory into sales.

Inventory Turnover Trends
The inventory turnover ratio maintained a range between 2.16 and 2.58. A period of steady improvement was observed throughout 2023, reaching a peak of 2.58 by December 31, 2023. This efficiency subsequently declined through 2024 and the first half of 2025, hitting a trough of 2.16 in June 2025, before recovering to 2.47 by December 31, 2025.
Average Inventory Processing Period Analysis
The processing period mirrored the turnover trends inversely. The highest level of operational efficiency was recorded in late 2023, with the processing period dropping to 141 days. A subsequent expansion of the cycle occurred throughout 2024 and early 2025, where the period lengthened to a peak of 169 days in June 2025. This extension suggests a temporary increase in the duration that goods remained in inventory before being sold.
Operational Recovery and Stabilization
A significant correction in inventory management is evident in the final quarter of 2025. The processing period decreased from 166 days in September to 148 days in December, coinciding with a turnover increase from 2.20 to 2.47. This movement indicates a rapid acceleration of inventory throughput toward the end of the year, returning the processing period to levels seen in early 2022.

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Average Receivable Collection Period

Caterpillar Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Receivables turnover 5.86 5.86 6.02 6.14 6.56 6.61 6.85 6.69 6.86 6.86 6.95 6.56 6.37 6.39 6.59 6.10 5.46
Short-term Activity Ratio (no. days)
Average receivable collection period1 62 62 61 59 56 55 53 55 53 53 53 56 57 57 55 60 67
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Boeing Co. 14 12 15 15 17 14 14 16 14 12 15 15 15 14 16 18 14
Eaton Corp. plc 81 72 76 77 73 68 72 73 72 70 72 73 72 72 69 71 68
GE Aerospace 101 102 97 101 98 97 75 60 93 87 79 78 73 89 87 83 82
Honeywell International Inc. 78 74 82 82 79 74 76 76 74 75 79 81 80 77 77 82 76
Lockheed Martin Corp. 11 19 19 17 10 12 11 15 12 12 13 19 14 14 14 19 14
RTX Corp. 52 61 54 54 51 50 47 52 53 57 55 51 54 50 51 58 51

Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q1 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.86 = 62

2 Click competitor name to see calculations.


The analysis of accounts receivable efficiency indicates a distinct three-phase cycle spanning from March 2022 to March 2026. An initial period of operational improvement was followed by a phase of relative stability, which ultimately transitioned into a gradual increase in the time required to collect outstanding payments.

Receivables Turnover Trends
The turnover ratio experienced a steady climb from 5.46 in March 2022 to a peak of 6.95 in September 2023. Following this peak, the ratio remained relatively stable through September 2024, fluctuating between 6.61 and 6.86. However, a consistent downward trend emerged during the final year of the observed period, with the ratio declining to 5.86 by March 2026.
Average Receivable Collection Period
The collection period showed a significant reduction during the first half of the timeline, dropping from 67 days in March 2022 to a minimum of 53 days by September 2023. This peak efficiency was maintained through March 2024. Subsequently, the collection window began to lengthen, rising incrementally from 55 days in June 2024 to 62 days by March 2026.
Correlation and Operational Insights
A strong inverse correlation is observed between the turnover ratio and the collection period. Maximum operational efficiency was achieved between September 2023 and March 2024, characterized by the highest turnover rates and the shortest collection windows. The subsequent increase in collection days and the corresponding dip in turnover suggest a potential relaxation of credit terms or a decrease in customer payment promptness toward the end of the analyzed period.

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Operating Cycle

Caterpillar Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Average inventory processing period 152 148 166 169 165 153 155 151 146 141 148 151 154 144 155 152 148
Average receivable collection period 62 62 61 59 56 55 53 55 53 53 53 56 57 57 55 60 67
Short-term Activity Ratio
Operating cycle1 214 210 227 228 221 208 208 206 199 194 201 207 211 201 210 212 215
Benchmarks
Operating Cycle, Competitors2
Boeing Co. 377 375 392 439 476 480 442 486 457 427 434 431 453 466 484 512 507
Eaton Corp. plc 185 173 178 181 176 168 172 169 167 162 165 166 165 162 161 165 158
GE Aerospace 247 252 253 261 254 244 186 149 234 207 200 194 183 203 205 203 194
Honeywell International Inc. 176 169 186 188 181 173 174 175 174 173 176 177 174 167 166 172 163
Lockheed Martin Corp. 34 38 39 37 30 32 30 33 32 31 33 41 36 34 34 42 34
RTX Corp. 124 130 127 131 127 121 124 131 130 133 134 129 130 123 124 129 120

Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q1 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 152 + 62 = 214

2 Click competitor name to see calculations.


The operating cycle exhibits a general range between 194 and 228 days over the analyzed period. The fluctuations in the overall cycle duration are predominantly driven by changes in inventory management rather than variations in credit collection efficiency.

Average Inventory Processing Period
Inventory processing times remained relatively stable between 141 and 155 days from March 2022 through December 2024. A notable deviation occurred during the first half of 2025, where the period peaked at 169 days in June 2025. Following this peak, the period returned to historical levels, ending at 152 days by March 2026.
Average Receivable Collection Period
An initial improvement in collection efficiency was observed throughout 2022, with the period decreasing from 67 days to 57 days. This efficiency remained consistent through 2023 and 2024, frequently reaching a low of 53 days. A gradual upward trend emerged in 2025, with the collection period extending to 62 days by March 2026, indicating a slight slowing in the conversion of receivables to cash.
Operating Cycle Synthesis
The total operating cycle reached its minimum duration of 194 days in December 2023. The maximum duration of 228 days was recorded in June 2025, which directly correlates with the spike in inventory processing time. By the end of the period, the cycle settled at 214 days, reflecting a combination of normalized inventory levels and a slightly lengthened receivables collection timeframe.

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Average Payables Payment Period

Caterpillar Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Payables turnover 4.88 4.99 4.78 4.69 5.07 5.24 5.31 5.47 5.44 5.41 5.54 5.09 4.68 4.76 4.81 4.72 4.43
Short-term Activity Ratio (no. days)
Average payables payment period1 75 73 76 78 72 70 69 67 67 67 66 72 78 77 76 77 82
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Boeing Co. 57 56 54 54 57 61 63 65 62 62 59 58 57 59 57 59 54
Eaton Corp. plc 100 89 85 85 86 87 86 85 83 83 82 81 80 81 79 82 78
GE Aerospace 126 127 127 134 128 119 89 73 122 112 112 107 102 123 116 116 110
Honeywell International Inc. 93 98 106 107 104 105 103 101 102 109 104 105 104 103 99 101 100
Lockheed Martin Corp. 25 20 21 20 22 13 19 19 21 14 24 22 21 13 17 15 17
RTX Corp. 81 82 77 73 75 72 68 66 65 69 68 66 67 68 63 68 58

Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q1 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 4.88 = 75

2 Click competitor name to see calculations.


The analysis of the payables turnover and the average payables payment period reveals a cyclical trend in working capital management from March 2022 through March 2026. There is a consistent inverse correlation between the turnover ratio and the payment duration, indicating a strategic fluctuation in how supplier obligations are settled.

Payables Turnover Trends
A steady increase in the payables turnover ratio is observed from March 2022, where it stood at 4.43, peaking at 5.54 in September 2023. This upward movement signifies an acceleration in the frequency with which supplier debts are liquidated. Following this peak, the ratio entered a period of gradual decline, reaching a low of 4.69 in June 2025, before ending the period at 4.88 in March 2026.
Average Payables Payment Period Analysis
The average payables payment period mirrors the turnover trends, starting at 82 days in March 2022 and contracting to a minimum of 66 days by September 2023. This represents a significant reduction in the time elapsed before payments are made to creditors. A period of relative stability followed between December 2023 and December 2024, with the payment period hovering between 67 and 70 days. Subsequently, a lengthening of the payment cycle occurred, peaking at 78 days in June 2025 and settling at 75 days by March 2026.
Working Capital Management Insights
The data suggests two distinct operational phases. The first phase, ending in late 2023, was characterized by a shortening of the cash conversion cycle regarding payables, which may indicate a priority on supplier relationship optimization or the pursuit of early payment discounts. The second phase, beginning in 2025, shows a shift toward extending payment terms, which typically serves to enhance short-term liquidity and preserve cash reserves by utilizing trade credit more aggressively.

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Cash Conversion Cycle

Caterpillar Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022
Selected Financial Data
Average inventory processing period 152 148 166 169 165 153 155 151 146 141 148 151 154 144 155 152 148
Average receivable collection period 62 62 61 59 56 55 53 55 53 53 53 56 57 57 55 60 67
Average payables payment period 75 73 76 78 72 70 69 67 67 67 66 72 78 77 76 77 82
Short-term Activity Ratio
Cash conversion cycle1 139 137 151 150 149 138 139 139 132 127 135 135 133 124 134 135 133
Benchmarks
Cash Conversion Cycle, Competitors2
Boeing Co. 320 319 338 385 419 419 379 421 395 365 375 373 396 407 427 453 453
Eaton Corp. plc 85 84 93 96 90 81 86 84 84 79 83 85 85 81 82 83 80
GE Aerospace 121 125 126 127 126 125 97 76 112 95 88 87 81 80 89 87 84
Honeywell International Inc. 83 71 80 81 77 68 71 74 72 64 72 72 70 64 67 71 63
Lockheed Martin Corp. 9 18 18 17 8 19 11 14 11 17 9 19 15 21 17 27 17
RTX Corp. 43 48 50 58 52 49 56 65 65 64 66 63 63 55 61 61 62

Based on: 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).

1 Q1 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 152 + 6275 = 139

2 Click competitor name to see calculations.


The operational efficiency from March 2022 to March 2026 is characterized by moderate volatility, with the cash conversion cycle primarily driven by fluctuations in inventory management. While receivable collection efficiency remained relatively stable, a significant expansion in the inventory processing period during 2025 led to a peak in the total time required to convert resources into cash.

Average Inventory Processing Period
This metric exhibited a fluctuating trend, generally ranging between 141 and 169 days. After a period of relative stability between 2022 and 2023, an upward trajectory began in early 2024, peaking at 169 days in June 2025. This indicates a temporary increase in the duration that inventory is held before being sold. A subsequent decline is observed in late 2025, with the period returning to 152 days by March 2026.
Average Receivable Collection Period
A positive trend in collection efficiency was observed from March 2022 (67 days) through December 2023, when the period reached a minimum of 53 days. However, a gradual increase followed from 2024 onward, with the collection period rising to 62 days by March 2026, suggesting a slight deceleration in the speed of payment receipts from customers.
Average Payables Payment Period
The payment period for payables trended downward from 82 days in March 2022 to a low of 66 days in September 2023. For the remainder of the analyzed period, the duration remained relatively stable between 67 and 78 days. The peak of 78 days in June 2025 indicates a strategic or circumstantial extension of payment terms to suppliers, which partially mitigated the impact of the simultaneous increase in inventory holding time.
Cash Conversion Cycle Analysis
The total cash conversion cycle fluctuated between a low of 124 days in December 2022 and a high of 151 days in September 2025. The cycle experienced a notable expansion during 2024 and the first three quarters of 2025, primarily due to the increase in the inventory processing period. The expansion peaked in September 2025 before a sharp correction occurred in December 2025, bringing the cycle down to 137 days, before settling at 139 days in March 2026.

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