Stock Analysis on Net

Union Pacific Corp. (NYSE:UNP) 

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

Microsoft Excel

Short-term Activity Ratios (Summary)

Union Pacific Corp., 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 29.47 31.14 31.39 31.52 32.46 31.53 31.34 29.91 31.29 32.46 31.35 33.38 34.44 33.57 30.77 29.66 31.22
Receivables turnover 12.44 13.18 12.78 12.74 12.34 12.80 11.93 11.40 11.14 11.63 12.48 13.56 12.82 13.15 11.90 11.42 11.57
Working capital turnover 114.40
Average No. Days
Average inventory processing period 12 12 12 12 11 12 12 12 12 11 12 11 11 11 12 12 12
Add: Average receivable collection period 29 28 29 29 30 29 31 32 33 31 29 27 28 28 31 32 32
Operating cycle 41 40 41 41 41 41 43 44 45 42 41 38 39 39 43 44 44

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 consistent pattern of operational efficiency and stability across the analyzed quarters, with minimal volatility in the management of working capital components.

Inventory Management Efficiency
Inventory turnover remains relatively stable, fluctuating between a high of 34.44 in March 2023 and a low of 29.47 in March 2026. This stability is mirrored in the average inventory processing period, which consistently oscillates between 11 and 12 days throughout the entire period. These figures indicate a highly efficient and predictable movement of inventory.
Receivables Collection Performance
Receivables turnover exhibits moderate fluctuations, ranging from a low of 11.14 in March 2024 to a peak of 13.56 in June 2023. The average receivable collection period generally remains within a tight band of 27 to 33 days. A slight increase in the collection period was noted in early 2024, which subsequently corrected to a stable range of 28 to 30 days through the remainder of the period.
Operating Cycle Trends
The total operating cycle remains narrow in range, fluctuating between 38 and 45 days. The peak of 45 days occurred in March 2024, directly correlating with the observed increase in the receivable collection period. From mid-2024 through March 2026, the cycle has stabilized between 40 and 41 days, demonstrating a consistent synchronization between the inventory processing and payment collection phases.

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Turnover Ratios


Average No. Days


Inventory Turnover

Union Pacific Corp., 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)
Operating revenues 6,217 6,085 6,244 6,154 6,027 6,121 6,091 6,007 6,031 6,159 5,941 5,963 6,056 6,180 6,566 6,269 5,860
Materials and supplies 838 787 782 774 747 769 775 807 770 743 770 742 728 741 794 790 726
Short-term Activity Ratio
Inventory turnover1 29.47 31.14 31.39 31.52 32.46 31.53 31.34 29.91 31.29 32.46 31.35 33.38 34.44 33.57 30.77 29.66 31.22
Benchmarks
Inventory Turnover, Competitors2
FedEx Corp. 146.67 146.06 142.33 140.96 143.36 142.82 136.74 139.15 140.40 149.26 146.78 143.65 146.45 146.80 150.05 150.76 150.16
United Airlines Holdings Inc. 35.19 37.96 36.76 37.48 36.06 36.30 34.16 33.12 32.73 34.41 34.69 39.44 40.82 40.54 36.51 30.89 27.13

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 = (Operating revenuesQ1 2026 + Operating revenuesQ4 2025 + Operating revenuesQ3 2025 + Operating revenuesQ2 2025) ÷ Materials and supplies
= (6,217 + 6,085 + 6,244 + 6,154) ÷ 838 = 29.47

2 Click competitor name to see calculations.


Analysis of operating activity indicates a period of relative stability in inventory management, characterized by fluctuations in turnover ratios that correspond with shifts in both operating revenues and materials and supplies levels.

Operating Revenue Patterns
Revenue levels exhibited a peak in the third quarter of 2022 at 6,566 million USD, followed by a period of stabilization. From 2023 through early 2026, quarterly revenues generally remained within a range of 5,941 million USD to 6,244 million USD, suggesting a consistent demand environment.
Materials and Supplies Trends
Inventory levels, represented by materials and supplies, showed a gradual upward trend over the analyzed period. Starting at 726 million USD in March 2022, the balance increased to 838 million USD by March 2026. This progression indicates a strategic accumulation of supplies or an increase in the cost of inventory procurement.
Inventory Turnover Ratio Volatility
The inventory turnover ratio reached a peak of 34.44 in March 2023, marking the highest point of operational efficiency in managing supplies relative to revenue. Following this peak, the ratio entered a period of oscillation, generally fluctuating between 29 and 33, before reaching a period low of 29.47 in March 2026.
Correlation Analysis
An inverse relationship is observed toward the end of the reporting period. The increase in materials and supplies to 838 million USD in March 2026 coincided with the decline in the turnover ratio to 29.47. This suggests that the growth in inventory holdings has outpaced the growth in operating revenues, resulting in a slower rate of inventory replacement.

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Receivables Turnover

Union Pacific Corp., 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)
Operating revenues 6,217 6,085 6,244 6,154 6,027 6,121 6,091 6,007 6,031 6,159 5,941 5,963 6,056 6,180 6,566 6,269 5,860
Accounts receivable, net 1,986 1,860 1,921 1,915 1,965 1,894 2,036 2,118 2,162 2,073 1,934 1,826 1,955 1,891 2,052 2,052 1,958
Short-term Activity Ratio
Receivables turnover1 12.44 13.18 12.78 12.74 12.34 12.80 11.93 11.40 11.14 11.63 12.48 13.56 12.82 13.15 11.90 11.42 11.57
Benchmarks
Receivables Turnover, Competitors2
FedEx Corp. 7.69 7.73 8.58 8.14 8.49 8.69 8.84 8.25 8.68 8.85 8.64 8.08 8.57 7.88 7.86 7.34 7.79
Uber Technologies Inc. 13.78 13.59 13.15 12.56 13.01 13.19 11.28 10.59 10.41 10.95 11.98 13.59 13.16 11.47 11.77 10.39 8.65
United Airlines Holdings Inc. 22.73 24.71 23.99 25.37 25.23 26.38 27.42 23.42 24.27 28.30 23.94 25.39 21.47 24.96 20.03 16.07 14.05
United Parcel Service Inc. 8.88 7.91 8.98 8.66 9.19 8.38 9.86 9.89 9.39 8.11 9.84 10.03 9.60 7.97 9.21 8.78 8.82

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 = (Operating revenuesQ1 2026 + Operating revenuesQ4 2025 + Operating revenuesQ3 2025 + Operating revenuesQ2 2025) ÷ Accounts receivable, net
= (6,217 + 6,085 + 6,244 + 6,154) ÷ 1,986 = 12.44

2 Click competitor name to see calculations.


The analysis of operating activity reveals a period of relative stability in revenue generation coupled with fluctuating efficiency in the collection of accounts receivable. Operating revenues remained largely consistent, generally oscillating between 5.9 billion and 6.2 billion US dollars, following an initial peak in late 2022. This stability in the top line provides a consistent baseline for evaluating the efficiency of the receivables turnover ratio.

Receivables Turnover Trends
The receivables turnover ratio exhibited a cyclical pattern over the observed period. A positive trend was noted through the end of 2022, with the ratio rising from 11.57 in March to 13.15 by December. This efficiency peaked in June 2023 at 13.56 before entering a period of decline that reached a low of 11.14 by March 2024. Subsequently, the ratio recovered and stabilized, maintaining a range between 12.34 and 13.18 throughout 2025, before a slight moderation to 12.44 in March 2026.
Correlation Between Receivable Balances and Turnover
Inverse correlations are evident between the net accounts receivable balance and the turnover ratio. The decline in turnover observed in early 2024 coincided with the highest recorded receivable balance of 2.162 billion US dollars in March 2024, suggesting a temporary slowdown in collection efficiency or an increase in credit terms. Conversely, the improvement in turnover observed toward the end of 2024 and throughout 2025 aligned with a reduction in net receivables, which dropped to a low of 1.860 billion US dollars by December 2025.
Operational Efficiency Observations
The stability of the turnover ratio in the latter half of the period, specifically between June 2024 and December 2025, indicates a standardized approach to credit management and collections. The narrow variance in revenues during this timeframe suggests that changes in the turnover ratio were primarily driven by fluctuations in the management of the receivables balance rather than significant shifts in sales volume.

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Working Capital Turnover

Union Pacific Corp., 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 4,215 4,555 3,904 4,183 4,539 4,021 4,149 4,498 4,194 4,148 3,813 3,752 4,058 3,952 4,405 3,976 3,876
Less: Current liabilities 4,602 5,014 5,220 6,452 6,222 5,254 5,366 4,287 4,534 5,106 5,304 5,249 6,209 5,520 5,712 6,002 5,462
Working capital (387) (459) (1,316) (2,269) (1,683) (1,233) (1,217) 211 (340) (958) (1,491) (1,497) (2,151) (1,568) (1,307) (2,026) (1,586)
 
Operating revenues 6,217 6,085 6,244 6,154 6,027 6,121 6,091 6,007 6,031 6,159 5,941 5,963 6,056 6,180 6,566 6,269 5,860
Short-term Activity Ratio
Working capital turnover1 114.40
Benchmarks
Working Capital Turnover, Competitors2
FedEx Corp. 23.19 29.55 26.47 26.25 21.99 18.07 21.26 18.06 17.45 17.94 21.22 22.52 16.22 15.35 16.74 13.05 13.06
Uber Technologies Inc. 64.68 31.09 24.58 33.31 191.48 57.19 9.33 18.50 18.54 20.23 28.22 17.25 65.98 80.50 83.47 1,646.62
United Airlines Holdings Inc. 681.14 58.21 38.43 35.17
United Parcel Service Inc. 28.31 25.89 20.19 19.59 63.57 31.74 41.54 23.94 60.59 52.36 27.10 20.23 18.10 24.61 14.61 12.16 11.27

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 = (Operating revenuesQ1 2026 + Operating revenuesQ4 2025 + Operating revenuesQ3 2025 + Operating revenuesQ2 2025) ÷ Working capital
= (6,217 + 6,085 + 6,244 + 6,154) ÷ -387 =

2 Click competitor name to see calculations.


The operational liquidity profile is characterized by a persistent trend of negative working capital coupled with highly stable operating revenues over the analyzed period.

Working Capital Analysis
A consistent pattern of negative working capital is observed from March 2022 through March 2026, with a notable exception in June 2024. The deficit reached its maximum in June 2025 at -2,269 million USD. The prevalence of negative working capital suggests an operational strategy where current liabilities are utilized to fund ongoing activities, reflecting a high reliance on short-term financing or aggressive management of accounts payable.
Operating Revenue Trends
Operating revenues exhibit remarkable stability, maintaining a range between 5,860 million USD and 6,566 million USD. Following a peak in September 2022, the revenue stream has largely plateaued, fluctuating minimally around the 6,000 to 6,200 million USD mark. This indicates a steady demand environment and consistent top-line performance regardless of the fluctuations in short-term liquidity.
Working Capital Turnover Interpretation
The working capital turnover ratio is absent for the majority of the period, as the ratio is mathematically skewed or non-meaningful when working capital is negative. A singular value of 114.40 is recorded for June 30, 2024, which corresponds directly with the only instance of positive working capital (211 million USD). This outlier represents a mathematical consequence of a small positive denominator rather than a sustainable shift in asset utilization efficiency.

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Average Inventory Processing Period

Union Pacific Corp., 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 29.47 31.14 31.39 31.52 32.46 31.53 31.34 29.91 31.29 32.46 31.35 33.38 34.44 33.57 30.77 29.66 31.22
Short-term Activity Ratio (no. days)
Average inventory processing period1 12 12 12 12 11 12 12 12 12 11 12 11 11 11 12 12 12
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
FedEx Corp. 2 2 3 3 3 3 3 3 3 2 2 3 2 2 2 2 2
United Airlines Holdings Inc. 10 10 10 10 10 10 11 11 11 11 11 9 9 9 10 12 13

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 ÷ 29.47 = 12

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a period of significant stability in inventory management efficiency from March 2022 through March 2026. The metrics indicate a highly consistent operational cycle with minimal variance in the time required to process inventory.

Inventory Turnover Trends
The inventory turnover ratio exhibits moderate fluctuations, ranging from a low of 29.47 in March 2026 to a peak of 34.44 in March 2023. A general trend of increase was observed throughout 2022, culminating in the peak during the first quarter of 2023. Following this peak, the ratio entered a period of gradual correction and stabilization, generally fluctuating between 29 and 32 for the remainder of the observed period.
Average Inventory Processing Period
The average inventory processing period demonstrates extreme stability, remaining confined to a narrow range of 11 to 12 days. The duration of 12 days is the predominant state, with brief contractions to 11 days occurring in December 2022, March 2023, June 2023, December 2023, and March 2025. These minor contractions correlate precisely with the periods of higher inventory turnover, reflecting a direct inverse relationship between turnover velocity and processing time.
Operational Efficiency Insights
The consistency of the processing period suggests a rigid and well-optimized supply chain process. Despite fluctuations in turnover ratios, the operational window for inventory movement has not deviated by more than one day over the four-year span, indicating a high level of predictability and control in short-term operating activity.

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Average Receivable Collection Period

Union Pacific Corp., 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 12.44 13.18 12.78 12.74 12.34 12.80 11.93 11.40 11.14 11.63 12.48 13.56 12.82 13.15 11.90 11.42 11.57
Short-term Activity Ratio (no. days)
Average receivable collection period1 29 28 29 29 30 29 31 32 33 31 29 27 28 28 31 32 32
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
FedEx Corp. 47 47 43 45 43 42 41 44 42 41 42 45 43 46 46 50 47
Uber Technologies Inc. 26 27 28 29 28 28 32 34 35 33 30 27 28 32 31 35 42
United Airlines Holdings Inc. 16 15 15 14 14 14 13 16 15 13 15 14 17 15 18 23 26
United Parcel Service Inc. 41 46 41 42 40 44 37 37 39 45 37 36 38 46 40 42 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
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 12.44 = 29

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a stable and consistent pattern in the management of accounts receivable over the period from March 2022 through March 2026. A strong inverse correlation is maintained between the receivables turnover ratio and the average receivable collection period, indicating a disciplined approach to credit and collection policies.

Receivables Turnover Analysis
The receivables turnover ratio exhibits moderate volatility, fluctuating within a range of 11.14 to 13.56. A peak in efficiency was observed in June 2023, where the ratio reached its highest point of 13.56. This was followed by a period of decline, reaching a trough of 11.14 in March 2024. Since that low point, a gradual recovery has been evident, with the ratio stabilizing between 12.34 and 13.18 throughout 2025 before settling at 12.44 by March 2026.
Average Receivable Collection Period Trends
The collection period remains tightly clustered between 27 and 33 days. The most efficient collection cycle occurred in June 2023, with a minimum of 27 days. Conversely, the longest collection cycle was recorded in March 2024 at 33 days. Following this peak, there is a visible trend of contraction, with the collection period returning to a range of 28 to 30 days for the remainder of the observed period. The final reading of 29 days in March 2026 suggests a return to historical norms.
Operational Efficiency and Liquidity Implications
The narrow variance in the collection period indicates that the company maintains consistent control over its credit terms and customer payment behaviors. The lack of a sustained upward trend in the number of days to collect receivables suggests that there has been no significant deterioration in the quality of the receivables portfolio or the effectiveness of the collection process. The ability to keep the collection cycle consistently around 30 days supports stable cash flow predictability and short-term liquidity.

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Operating Cycle

Union Pacific Corp., 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 12 12 12 12 11 12 12 12 12 11 12 11 11 11 12 12 12
Average receivable collection period 29 28 29 29 30 29 31 32 33 31 29 27 28 28 31 32 32
Short-term Activity Ratio
Operating cycle1 41 40 41 41 41 41 43 44 45 42 41 38 39 39 43 44 44
Benchmarks
Operating Cycle, Competitors2
FedEx Corp. 49 49 46 48 46 45 44 47 45 43 44 48 45 48 48 52 49
United Airlines Holdings Inc. 26 25 25 24 24 24 24 27 26 24 26 23 26 24 28 35 39

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
= 12 + 29 = 41

2 Click competitor name to see calculations.


The operational efficiency of the company's short-term activity remains relatively stable over the analyzed period, with the operating cycle fluctuating within a narrow range of 38 to 45 days. The primary driver of these fluctuations is the variance in the receivable collection period, as the inventory processing period remains nearly constant.

Average Inventory Processing Period
This metric demonstrates exceptional stability, consistently oscillating between 11 and 12 days. There is no discernible upward or downward trend, indicating a highly standardized and predictable process for managing inventory levels relative to the cost of goods sold.
Average Receivable Collection Period
The collection period exhibits moderate volatility. An initial period of stability around 32 days was followed by a gradual decline to a low of 27 days by June 30, 2023. A subsequent peak of 33 days occurred on March 31, 2024, before the metric stabilized between 28 and 30 days through March 31, 2026. This indicates slight variations in the efficiency of credit collections and customer payment behaviors.
Operating Cycle
The total operating cycle mirrors the movements of the receivable collection period due to the static nature of inventory processing. The cycle reached its highest point of 45 days in March 2024 and its lowest point of 38 days in June 2023. The consistent return to a range of 40 to 41 days in the final quarters suggests a stabilized cash-to-cash conversion process, maintaining a consistent timeframe for converting operating inputs into cash.

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