Stock Analysis on Net
Stock Analysis on Net

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

Microsoft Excel

Short-term Activity Ratios (Summary)

FedEx Corp., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
May 31, 2026 Feb 28, 2026 Nov 30, 2025 Aug 31, 2025 May 31, 2025 Feb 28, 2025 Nov 30, 2024 Aug 31, 2024 May 31, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 May 31, 2023 Feb 28, 2023 Nov 30, 2022 Aug 31, 2022 May 31, 2022 Feb 28, 2022 Nov 30, 2021 Aug 31, 2021
Turnover Ratios
Inventory turnover 141.58 145.69 142.78 146.67 146.06 142.33 140.96 143.36 142.82 136.74 139.15 140.40 149.26 146.78 143.65 146.45 146.80 150.05 150.76 150.16
Receivables turnover 7.47 7.79 7.41 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
Payables turnover 21.89 22.13 19.32 20.98 23.82 24.37 22.43 23.43 27.50 23.15 21.98 23.35 23.43 23.23 23.59 22.74 23.20 21.90 21.37 22.67
Working capital turnover 10.53 11.23 20.30 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
Average No. Days
Average inventory processing period 3 3 3 2 2 3 3 3 3 3 3 3 2 2 3 2 2 2 2 2
Add: Average receivable collection period 49 47 49 47 47 43 45 43 42 41 44 42 41 42 45 43 46 46 50 47
Operating cycle 52 50 52 49 49 46 48 46 45 44 47 45 43 44 48 45 48 48 52 49
Less: Average payables payment period 17 16 19 17 15 15 16 16 13 16 17 16 16 16 15 16 16 17 17 16
Cash conversion cycle 35 34 33 32 34 31 32 30 32 28 30 29 27 28 33 29 32 31 35 33

Based on: 10-K (reporting date: 2026-05-31), 10-Q (reporting date: 2026-02-28), 10-Q (reporting date: 2025-11-30), 10-Q (reporting date: 2025-08-31), 10-K (reporting date: 2025-05-31), 10-Q (reporting date: 2025-02-28), 10-Q (reporting date: 2024-11-30), 10-Q (reporting date: 2024-08-31), 10-K (reporting date: 2024-05-31), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-Q (reporting date: 2023-08-31), 10-K (reporting date: 2023-05-31), 10-Q (reporting date: 2023-02-28), 10-Q (reporting date: 2022-11-30), 10-Q (reporting date: 2022-08-31), 10-K (reporting date: 2022-05-31), 10-Q (reporting date: 2022-02-28), 10-Q (reporting date: 2021-11-30), 10-Q (reporting date: 2021-08-31).


The operational activity ratios demonstrate a high degree of stability in core logistics efficiency, though significant volatility is observed in working capital utilization toward the end of the analyzed period.

Inventory and Processing Efficiency
Inventory turnover remains consistently high, fluctuating between 136.74 and 150.76. This corresponds to an average inventory processing period of 2 to 3 days, indicating a lean approach to inventory management where goods are moved or consumed almost immediately upon receipt.
Receivables and Collections Management
The receivables turnover ratio exhibits a stable pattern, generally ranging from 7.34 to 8.85. The average receivable collection period stays within a tight corridor of 41 to 50 days. A slight upward trend in the collection period is noted in the final quarters, reaching 49 days by May 31, 2026, which suggests a marginal slowing in the conversion of credit sales to cash.
Payables and Disbursement Patterns
Payables turnover is largely consistent, typically hovering between 21 and 24, with a notable peak of 27.50 in May 2024 and a low of 19.32 in November 2025. Consequently, the average payables payment period remains short, generally between 15 and 17 days, indicating a rapid settlement of obligations to suppliers.
Operating and Cash Conversion Cycles
The operating cycle is primarily driven by the receivable collection period due to the negligible time spent in inventory processing. This cycle ranges from 43 to 52 days. When accounting for payables, the cash conversion cycle remains stable between 27 and 35 days, suggesting a consistent gap between paying suppliers and receiving cash from customers.
Working Capital Utilization
Working capital turnover shows the most significant variance. After a period of growth where the ratio peaked at 29.55 in May 2025, a sharp decline is observed, falling to 10.53 by May 31, 2026. This volatility suggests a substantial shift in the composition of current assets and liabilities relative to revenue, contrasting with the relative stability seen in the specific activity ratios.

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Turnover Ratios


Average No. Days



Inventory Turnover

FedEx Corp., inventory turnover calculation (quarterly data)

Microsoft Excel
May 31, 2026 Feb 28, 2026 Nov 30, 2025 Aug 31, 2025 May 31, 2025 Feb 28, 2025 Nov 30, 2024 Aug 31, 2024 May 31, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 May 31, 2023 Feb 28, 2023 Nov 30, 2022 Aug 31, 2022 May 31, 2022 Feb 28, 2022 Nov 30, 2021 Aug 31, 2021
Selected Financial Data (US$ in millions)
Revenue 25,007 24,000 23,469 22,244 22,220 22,160 21,967 21,579 22,109 21,738 22,165 21,681 21,930 22,169 22,814 23,242 24,394 23,641 23,474 22,003
Spare parts, supplies, and fuel, less allowances 669 631 631 604 602 617 620 611 614 640 632 631 604 631 655 647 637 611 594 577
Short-term Activity Ratio
Inventory turnover1 141.58 145.69 142.78 146.67 146.06 142.33 140.96 143.36 142.82 136.74 139.15 140.40 149.26 146.78 143.65 146.45 146.80 150.05 150.76 150.16
Benchmarks
Inventory Turnover, Competitors2
Union Pacific Corp. 27.65 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
United Airlines Holdings Inc. 35.04 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-K (reporting date: 2026-05-31), 10-Q (reporting date: 2026-02-28), 10-Q (reporting date: 2025-11-30), 10-Q (reporting date: 2025-08-31), 10-K (reporting date: 2025-05-31), 10-Q (reporting date: 2025-02-28), 10-Q (reporting date: 2024-11-30), 10-Q (reporting date: 2024-08-31), 10-K (reporting date: 2024-05-31), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-Q (reporting date: 2023-08-31), 10-K (reporting date: 2023-05-31), 10-Q (reporting date: 2023-02-28), 10-Q (reporting date: 2022-11-30), 10-Q (reporting date: 2022-08-31), 10-K (reporting date: 2022-05-31), 10-Q (reporting date: 2022-02-28), 10-Q (reporting date: 2021-11-30), 10-Q (reporting date: 2021-08-31).

1 Q4 2026 Calculation
Inventory turnover = (RevenueQ4 2026 + RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026) ÷ Spare parts, supplies, and fuel, less allowances
= (25,007 + 24,000 + 23,469 + 22,244) ÷ 669 = 141.58

2 Click competitor name to see calculations.


The inventory turnover ratio exhibits a gradual downward trajectory from August 2021 through February 2024, followed by a period of relative stabilization and volatility through May 2026. This trend suggests a moderate decrease in the efficiency of inventory utilization relative to operational output over the analyzed timeframe.

Turnover Ratio Trends
The highest efficiency levels were recorded between August 2021 and February 2022, where the ratio consistently remained at or above 150.00. A sustained decline followed, reaching a minimum value of 136.74 in February 2024. From May 2024 onward, the ratio entered a stabilization phase, fluctuating within a tighter range between 140.96 and 146.67.
Inventory Levels and Revenue Correlation
Inventory levels, consisting of spare parts, supplies, and fuel, remained relatively stable, fluctuating between a low of 577 million USD in August 2021 and a high of 669 million USD in May 2026. While revenue showed growth toward the end of the period, reaching 25,007 million USD in May 2026, the simultaneous increase in inventory holdings contributed to a slight compression of the turnover ratio in the final quarter of the data set.
Operational Efficiency Observations
The decline in the turnover ratio from 2021 to early 2024 indicates that inventory was being cycled less frequently, which may suggest an increase in safety stock levels or a mismatch between inventory procurement and immediate operational needs. The recovery and stabilization observed from mid-2024 through 2026 suggest a realignment of inventory management practices to better match current revenue scales.

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Receivables Turnover

FedEx Corp., receivables turnover calculation (quarterly data)

Microsoft Excel
May 31, 2026 Feb 28, 2026 Nov 30, 2025 Aug 31, 2025 May 31, 2025 Feb 28, 2025 Nov 30, 2024 Aug 31, 2024 May 31, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 May 31, 2023 Feb 28, 2023 Nov 30, 2022 Aug 31, 2022 May 31, 2022 Feb 28, 2022 Nov 30, 2021 Aug 31, 2021
Selected Financial Data (US$ in millions)
Revenue 25,007 24,000 23,469 22,244 22,220 22,160 21,967 21,579 22,109 21,738 22,165 21,681 21,930 22,169 22,814 23,242 24,394 23,641 23,474 22,003
Receivables, less allowances 12,672 11,807 12,159 11,516 11,368 10,230 10,737 10,312 10,087 9,904 10,665 10,207 10,188 10,721 11,644 11,055 11,863 11,668 12,197 11,125
Short-term Activity Ratio
Receivables turnover1 7.47 7.79 7.41 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
Benchmarks
Receivables Turnover, Competitors2
Uber Technologies Inc. 12.85 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
Union Pacific Corp. 11.93 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
United Airlines Holdings Inc. 25.44 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. 8.40 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-K (reporting date: 2026-05-31), 10-Q (reporting date: 2026-02-28), 10-Q (reporting date: 2025-11-30), 10-Q (reporting date: 2025-08-31), 10-K (reporting date: 2025-05-31), 10-Q (reporting date: 2025-02-28), 10-Q (reporting date: 2024-11-30), 10-Q (reporting date: 2024-08-31), 10-K (reporting date: 2024-05-31), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-Q (reporting date: 2023-08-31), 10-K (reporting date: 2023-05-31), 10-Q (reporting date: 2023-02-28), 10-Q (reporting date: 2022-11-30), 10-Q (reporting date: 2022-08-31), 10-K (reporting date: 2022-05-31), 10-Q (reporting date: 2022-02-28), 10-Q (reporting date: 2021-11-30), 10-Q (reporting date: 2021-08-31).

1 Q4 2026 Calculation
Receivables turnover = (RevenueQ4 2026 + RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026) ÷ Receivables, less allowances
= (25,007 + 24,000 + 23,469 + 22,244) ÷ 12,672 = 7.47

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a fluctuating pattern in receivables management, characterized by a period of increased collection efficiency followed by a recent downward trend in turnover velocity.

Receivables Turnover Performance
The receivables turnover ratio exhibited a general upward trajectory from November 2021 (7.34) through May 2023, reaching a peak of 8.85. This phase indicates a period of enhanced efficiency in converting accounts receivable into cash relative to revenue generation. However, a gradual decline is observed starting in late 2023, with the ratio softening to 8.14 by November 2024 and further deteriorating to 7.47 by May 2026.
Revenue and Receivables Correlation
Revenue experienced a period of relative stagnation and slight decline between 2022 and 2024, fluctuating primarily between US$ 21.5 billion and US$ 22.2 billion. During this interval, receivables were managed more aggressively, dropping to a low of US$ 9.9 billion in February 2024, which contributed to the peak turnover ratios. Conversely, a renewed growth phase in revenue beginning in November 2025, peaking at US$ 25.0 billion in May 2026, coincided with a significant increase in receivables to US$ 12.7 billion.
Operational Efficiency Insights
The divergence between rising revenues and falling turnover ratios in the final periods suggests a shift in the company's operating cycle. While top-line growth accelerated toward May 2026, the decline in the turnover ratio to 7.47 implies that receivables are growing at a faster rate than sales. This pattern may indicate a strategic shift toward more lenient credit terms to stimulate volume growth or a decrease in the efficiency of the collection process during the period of expansion.

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Payables Turnover

FedEx Corp., payables turnover calculation (quarterly data)

Microsoft Excel
May 31, 2026 Feb 28, 2026 Nov 30, 2025 Aug 31, 2025 May 31, 2025 Feb 28, 2025 Nov 30, 2024 Aug 31, 2024 May 31, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 May 31, 2023 Feb 28, 2023 Nov 30, 2022 Aug 31, 2022 May 31, 2022 Feb 28, 2022 Nov 30, 2021 Aug 31, 2021
Selected Financial Data (US$ in millions)
Revenue 25,007 24,000 23,469 22,244 22,220 22,160 21,967 21,579 22,109 21,738 22,165 21,681 21,930 22,169 22,814 23,242 24,394 23,641 23,474 22,003
Accounts payable 4,327 4,154 4,664 4,223 3,692 3,604 3,896 3,738 3,189 3,780 4,002 3,794 3,848 3,987 3,989 4,167 4,030 4,187 4,190 3,822
Short-term Activity Ratio
Payables turnover1 21.89 22.13 19.32 20.98 23.82 24.37 22.43 23.43 27.50 23.15 21.98 23.35 23.43 23.23 23.59 22.74 23.20 21.90 21.37 22.67
Benchmarks
Payables Turnover, Competitors2
Uber Technologies Inc. 23.33 26.63 30.94 26.71 27.93 31.41 31.06 31.76 32.37 28.05 28.43 27.17 30.63 29.34 27.00 22.55 18.17 13.53
United Airlines Holdings Inc. 10.90 11.25 12.93 12.59 11.79 12.30 13.61 13.97 12.42 12.62 14.01 12.48 12.20 12.65 13.24 11.53 9.49 9.77
United Parcel Service Inc. 15.05 14.94 13.37 15.47 14.95 16.67 14.45 16.76 16.89 16.63 14.35 15.59 15.81 15.69 13.36 15.02 13.96 14.04

Based on: 10-K (reporting date: 2026-05-31), 10-Q (reporting date: 2026-02-28), 10-Q (reporting date: 2025-11-30), 10-Q (reporting date: 2025-08-31), 10-K (reporting date: 2025-05-31), 10-Q (reporting date: 2025-02-28), 10-Q (reporting date: 2024-11-30), 10-Q (reporting date: 2024-08-31), 10-K (reporting date: 2024-05-31), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-Q (reporting date: 2023-08-31), 10-K (reporting date: 2023-05-31), 10-Q (reporting date: 2023-02-28), 10-Q (reporting date: 2022-11-30), 10-Q (reporting date: 2022-08-31), 10-K (reporting date: 2022-05-31), 10-Q (reporting date: 2022-02-28), 10-Q (reporting date: 2021-11-30), 10-Q (reporting date: 2021-08-31).

1 Q4 2026 Calculation
Payables turnover = (RevenueQ4 2026 + RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026) ÷ Accounts payable
= (25,007 + 24,000 + 23,469 + 22,244) ÷ 4,327 = 21.89

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a generally stable pattern in payables management, characterized by periodic fluctuations that deviate from a long-term mean. The payables turnover ratio primarily oscillates between 21 and 24 for the majority of the analyzed period, indicating a consistent cycle of supplier payments relative to revenue generation.

Turnover Ratio Stability and Volatility
From August 2021 through August 2023, the turnover ratio maintained a tight range, typically remaining between 21.37 and 23.59. This consistency suggests a disciplined approach to managing short-term obligations. However, significant volatility emerged in the later period, specifically a peak of 27.50 in May 2024 and a trough of 19.32 in November 2025.
Analysis of the May 2024 Peak
A sharp increase in the payables turnover ratio to 27.50 occurred in May 2024. This spike is directly correlated with a substantial decrease in accounts payable, which dropped to 3.189 billion USD, the lowest level recorded in the data set. This suggests an accelerated settlement of supplier debts or a reduction in the volume of credit purchases during that quarter.
Analysis of the November 2025 Trough
The ratio reached its lowest point of 19.32 in November 2025. This decline coincides with a peak in accounts payable, which rose to 4.664 billion USD. This trend indicates a slowing of the payment cycle, potentially reflecting a strategic utilization of supplier credit to fund operations during a period of rising revenue, which climbed to 23.469 billion USD in the same quarter.
Revenue Correlation and Final Trends
While revenue showed a general upward trajectory toward the end of the period, reaching 25.007 billion USD by May 2026, the payables turnover ratio returned to its historical norm of approximately 21.89. This return to baseline suggests that the fluctuations observed in 2024 and 2025 were temporary deviations rather than a fundamental shift in the operating strategy regarding trade payables.

Overall, the payables turnover demonstrates a resilient cycle, with the company effectively balancing its obligations to suppliers despite periods of significant volatility in the total payable balance.

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Working Capital Turnover

FedEx Corp., working capital turnover calculation (quarterly data)

Microsoft Excel
May 31, 2026 Feb 28, 2026 Nov 30, 2025 Aug 31, 2025 May 31, 2025 Feb 28, 2025 Nov 30, 2024 Aug 31, 2024 May 31, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 May 31, 2023 Feb 28, 2023 Nov 30, 2022 Aug 31, 2022 May 31, 2022 Feb 28, 2022 Nov 30, 2021 Aug 31, 2021
Selected Financial Data (US$ in millions)
Current assets 27,903 25,477 20,653 19,344 18,386 17,214 17,721 18,094 18,207 17,424 19,117 18,887 18,610 17,944 18,217 19,606 20,365 19,466 20,747 19,546
Less: Current liabilities 18,912 17,287 16,214 15,524 15,411 13,896 14,392 14,111 13,355 13,308 14,248 13,811 13,586 13,580 14,039 13,765 14,274 13,990 13,884 12,910
Working capital 8,991 8,190 4,439 3,820 2,975 3,318 3,329 3,983 4,852 4,116 4,869 5,076 5,024 4,364 4,178 5,841 6,091 5,476 6,863 6,636
 
Revenue 25,007 24,000 23,469 22,244 22,220 22,160 21,967 21,579 22,109 21,738 22,165 21,681 21,930 22,169 22,814 23,242 24,394 23,641 23,474 22,003
Short-term Activity Ratio
Working capital turnover1 10.53 11.23 20.30 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
Benchmarks
Working Capital Turnover, Competitors2
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
Union Pacific Corp. 114.40
United Airlines Holdings Inc. 681.14 58.21 38.43 35.17
United Parcel Service Inc. 33.76 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-K (reporting date: 2026-05-31), 10-Q (reporting date: 2026-02-28), 10-Q (reporting date: 2025-11-30), 10-Q (reporting date: 2025-08-31), 10-K (reporting date: 2025-05-31), 10-Q (reporting date: 2025-02-28), 10-Q (reporting date: 2024-11-30), 10-Q (reporting date: 2024-08-31), 10-K (reporting date: 2024-05-31), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-Q (reporting date: 2023-08-31), 10-K (reporting date: 2023-05-31), 10-Q (reporting date: 2023-02-28), 10-Q (reporting date: 2022-11-30), 10-Q (reporting date: 2022-08-31), 10-K (reporting date: 2022-05-31), 10-Q (reporting date: 2022-02-28), 10-Q (reporting date: 2021-11-30), 10-Q (reporting date: 2021-08-31).

1 Q4 2026 Calculation
Working capital turnover = (RevenueQ4 2026 + RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026) ÷ Working capital
= (25,007 + 24,000 + 23,469 + 22,244) ÷ 8,991 = 10.53

2 Click competitor name to see calculations.


An analysis of the operating activity ratios reveals a distinct cyclical pattern in working capital management, characterized by a prolonged period of efficiency gains followed by a significant shift in liquidity positioning toward the end of the observed period.

Working Capital Trends
A consistent downward trajectory in working capital is observed from August 2021, where the value stood at 6,636 million USD, reaching a minimum of 2,975 million USD by May 2025. This long-term reduction indicates a tightening of short-term assets relative to liabilities. However, a sharp reversal occurred between November 2025 and May 2026, with working capital accelerating to 8,991 million USD, marking the highest level in the analyzed timeframe.
Revenue Stability
Revenue remained relatively stable throughout the period, fluctuating primarily between 21,500 million USD and 24,400 million USD. A period of slight contraction was noted between August 2022 and August 2024, followed by a recovery trend that peaked at 25,007 million USD by May 2026.
Working Capital Turnover Dynamics
The working capital turnover ratio exhibited an inverse correlation with working capital levels. As working capital declined from 2021 through early 2025, the turnover ratio climbed from 13.06 to a peak of 29.55 in May 2025. This trend suggests a significant increase in the efficiency of using short-term assets to generate revenue. This efficiency trend reversed abruptly in 2026, with the ratio falling sharply to 10.53 by May 2026, coinciding with the rapid expansion of working capital.
Operational Efficiency Insights
The data indicates two distinct operational phases. The first phase, spanning from 2021 to mid-2025, was characterized by an aggressive lean approach to working capital, resulting in highly elevated turnover ratios. The second phase, beginning in late 2025, reflects a sudden shift toward higher liquidity or a substantial increase in current assets/liabilities, which fundamentally lowered the turnover ratio despite record-high revenue levels.

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Average Inventory Processing Period

FedEx Corp., average inventory processing period calculation (quarterly data)

Microsoft Excel
May 31, 2026 Feb 28, 2026 Nov 30, 2025 Aug 31, 2025 May 31, 2025 Feb 28, 2025 Nov 30, 2024 Aug 31, 2024 May 31, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 May 31, 2023 Feb 28, 2023 Nov 30, 2022 Aug 31, 2022 May 31, 2022 Feb 28, 2022 Nov 30, 2021 Aug 31, 2021
Selected Financial Data
Inventory turnover 141.58 145.69 142.78 146.67 146.06 142.33 140.96 143.36 142.82 136.74 139.15 140.40 149.26 146.78 143.65 146.45 146.80 150.05 150.76 150.16
Short-term Activity Ratio (no. days)
Average inventory processing period1 3 3 3 2 2 3 3 3 3 3 3 3 2 2 3 2 2 2 2 2
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Union Pacific Corp. 13 12 12 12 12 11 12 12 12 12 11 12 11 11 11 12 12 12
United Airlines Holdings Inc. 10 10 10 10 10 10 10 11 11 11 11 11 9 9 9 10 12 13

Based on: 10-K (reporting date: 2026-05-31), 10-Q (reporting date: 2026-02-28), 10-Q (reporting date: 2025-11-30), 10-Q (reporting date: 2025-08-31), 10-K (reporting date: 2025-05-31), 10-Q (reporting date: 2025-02-28), 10-Q (reporting date: 2024-11-30), 10-Q (reporting date: 2024-08-31), 10-K (reporting date: 2024-05-31), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-Q (reporting date: 2023-08-31), 10-K (reporting date: 2023-05-31), 10-Q (reporting date: 2023-02-28), 10-Q (reporting date: 2022-11-30), 10-Q (reporting date: 2022-08-31), 10-K (reporting date: 2022-05-31), 10-Q (reporting date: 2022-02-28), 10-Q (reporting date: 2021-11-30), 10-Q (reporting date: 2021-08-31).

1 Q4 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 141.58 = 3

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a high level of efficiency in inventory management, characterized by rapid turnover and a minimal processing period over the observed timeframe.

Inventory Turnover Trends
Inventory turnover ratios remained consistently high, ranging from a peak of 150.76 in November 2021 to a low of 136.74 in February 2024. A gradual downward trend was observed between late 2021 and early 2024, indicating a slight decrease in the velocity of inventory movement. Subsequently, the ratio entered a period of stabilization throughout 2025 and 2026, fluctuating within a tighter band between 141.58 and 146.67.
Average Inventory Processing Period
The processing period exhibited extreme stability, fluctuating only between 2 and 3 days. An initial consistency of 2 days was maintained through May 2023, followed by a shift toward a 3-day period that persisted through most of 2024. A brief return to a 2-day cycle occurred in mid-2025, before the metric returned to 3 days for the final periods of the analysis.
Operational Efficiency Synthesis
The inverse relationship between the high turnover ratios and the minimal processing period underscores a lean operational strategy. The marginal increase in the processing period from 2 to 3 days coincides with the observed dip in turnover ratios; however, these fluctuations are negligible in magnitude, suggesting that the inventory management process remains highly optimized with minimal capital tied up in stagnant stock.

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Average Receivable Collection Period

FedEx Corp., average receivable collection period calculation (quarterly data)

Microsoft Excel
May 31, 2026 Feb 28, 2026 Nov 30, 2025 Aug 31, 2025 May 31, 2025 Feb 28, 2025 Nov 30, 2024 Aug 31, 2024 May 31, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 May 31, 2023 Feb 28, 2023 Nov 30, 2022 Aug 31, 2022 May 31, 2022 Feb 28, 2022 Nov 30, 2021 Aug 31, 2021
Selected Financial Data
Receivables turnover 7.47 7.79 7.41 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
Short-term Activity Ratio (no. days)
Average receivable collection period1 49 47 49 47 47 43 45 43 42 41 44 42 41 42 45 43 46 46 50 47
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Uber Technologies Inc. 28 26 27 28 29 28 28 32 34 35 33 30 27 28 32 31 35 42
Union Pacific Corp. 31 29 28 29 29 30 29 31 32 33 31 29 27 28 28 31 32 32
United Airlines Holdings Inc. 14 16 15 15 14 14 14 13 16 15 13 15 14 17 15 18 23 26
United Parcel Service Inc. 43 41 46 41 42 40 44 37 37 39 45 37 36 38 46 40 42 41

Based on: 10-K (reporting date: 2026-05-31), 10-Q (reporting date: 2026-02-28), 10-Q (reporting date: 2025-11-30), 10-Q (reporting date: 2025-08-31), 10-K (reporting date: 2025-05-31), 10-Q (reporting date: 2025-02-28), 10-Q (reporting date: 2024-11-30), 10-Q (reporting date: 2024-08-31), 10-K (reporting date: 2024-05-31), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-Q (reporting date: 2023-08-31), 10-K (reporting date: 2023-05-31), 10-Q (reporting date: 2023-02-28), 10-Q (reporting date: 2022-11-30), 10-Q (reporting date: 2022-08-31), 10-K (reporting date: 2022-05-31), 10-Q (reporting date: 2022-02-28), 10-Q (reporting date: 2021-11-30), 10-Q (reporting date: 2021-08-31).

1 Q4 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 7.47 = 49

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a cyclical pattern in the efficiency of receivables management, characterized by an initial period of optimization followed by a gradual decline in collection speed toward the end of the observed timeframe.

Receivables Turnover Dynamics
The receivables turnover ratio exhibited an upward trajectory from August 2021 (7.79) through May 2023, reaching a peak of 8.85. This indicates an increase in the frequency with which receivables were converted into cash. However, after February 2024, a consistent downward trend emerged, with the ratio falling to 7.47 by May 2026, suggesting a slowdown in the velocity of credit recovery.
Average Receivable Collection Period Trends
The collection period demonstrates an inverse correlation with the turnover ratio. An initial improvement is observed between November 2021 (50 days) and February 2023, where the collection period reached a minimum of 41 days. This phase represents the highest level of operational efficiency in credit management within the reported period.
Recent Performance Degradation
Starting in late 2024, there is a visible increase in the number of days required to collect receivables. The collection period rose from 41 days in February 2024 to a peak of 49 days by November 2025 and May 2026. This extension of the collection cycle implies a potential loosening of credit terms or a decrease in the timeliness of customer payments.
Comparative Volatility
The data indicates that the company maintained relatively stable collection metrics between 41 and 45 days for approximately two years (February 2023 to August 2024). The subsequent shift toward a 47-to-49-day average represents a return to the less efficient levels observed at the beginning of the analyzed period in 2021.

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Operating Cycle

FedEx Corp., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
May 31, 2026 Feb 28, 2026 Nov 30, 2025 Aug 31, 2025 May 31, 2025 Feb 28, 2025 Nov 30, 2024 Aug 31, 2024 May 31, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 May 31, 2023 Feb 28, 2023 Nov 30, 2022 Aug 31, 2022 May 31, 2022 Feb 28, 2022 Nov 30, 2021 Aug 31, 2021
Selected Financial Data
Average inventory processing period 3 3 3 2 2 3 3 3 3 3 3 3 2 2 3 2 2 2 2 2
Average receivable collection period 49 47 49 47 47 43 45 43 42 41 44 42 41 42 45 43 46 46 50 47
Short-term Activity Ratio
Operating cycle1 52 50 52 49 49 46 48 46 45 44 47 45 43 44 48 45 48 48 52 49
Benchmarks
Operating Cycle, Competitors2
Union Pacific Corp. 44 41 40 41 41 41 41 43 44 45 42 41 38 39 39 43 44 44
United Airlines Holdings Inc. 24 26 25 25 24 24 24 24 27 26 24 26 23 26 24 28 35 39

Based on: 10-K (reporting date: 2026-05-31), 10-Q (reporting date: 2026-02-28), 10-Q (reporting date: 2025-11-30), 10-Q (reporting date: 2025-08-31), 10-K (reporting date: 2025-05-31), 10-Q (reporting date: 2025-02-28), 10-Q (reporting date: 2024-11-30), 10-Q (reporting date: 2024-08-31), 10-K (reporting date: 2024-05-31), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-Q (reporting date: 2023-08-31), 10-K (reporting date: 2023-05-31), 10-Q (reporting date: 2023-02-28), 10-Q (reporting date: 2022-11-30), 10-Q (reporting date: 2022-08-31), 10-K (reporting date: 2022-05-31), 10-Q (reporting date: 2022-02-28), 10-Q (reporting date: 2021-11-30), 10-Q (reporting date: 2021-08-31).

1 Q4 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 3 + 49 = 52

2 Click competitor name to see calculations.


The operating cycle of the organization exhibits a high degree of correlation with the receivable collection period, as inventory processing represents a negligible fraction of the total cycle. The total cycle duration fluctuates within a range of 43 to 52 days over the analyzed period, characterized by a mid-term improvement in efficiency followed by a gradual expansion in cycle length toward the end of the series.

Average Inventory Processing Period
The inventory processing period remains remarkably stable and minimal, fluctuating strictly between 2 and 3 days. This consistency indicates a business model with very low inventory dependency, ensuring that inventory turnover has virtually no impact on the volatility of the overall operating cycle.
Average Receivable Collection Period
A fluctuating pattern is observed in the collection of receivables. After an initial peak of 50 days in November 2021, there was a gradual downward trend that reached a low of 41 days in February 2024. This suggests an improvement in credit collection efficiency during that interval. However, a reversal occurred starting in May 2024, with the collection period steadily increasing to 49 days by May 2026, indicating a slowing in the conversion of receivables into cash.
Total Operating Cycle
The total operating cycle mirrors the movements of the receivable collection period almost exactly. The cycle reached its peak of 52 days in November 2021 and again in May 2026, while the most efficient period occurred between May 2023 and February 2024, where the cycle dropped to between 43 and 45 days. The recent upward trend in the operating cycle suggests that the organization is experiencing a longer timeframe to recover its operating expenses, driven primarily by the lengthening of the receivable collection phase.

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Average Payables Payment Period

FedEx Corp., average payables payment period calculation (quarterly data)

Microsoft Excel
May 31, 2026 Feb 28, 2026 Nov 30, 2025 Aug 31, 2025 May 31, 2025 Feb 28, 2025 Nov 30, 2024 Aug 31, 2024 May 31, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 May 31, 2023 Feb 28, 2023 Nov 30, 2022 Aug 31, 2022 May 31, 2022 Feb 28, 2022 Nov 30, 2021 Aug 31, 2021
Selected Financial Data
Payables turnover 21.89 22.13 19.32 20.98 23.82 24.37 22.43 23.43 27.50 23.15 21.98 23.35 23.43 23.23 23.59 22.74 23.20 21.90 21.37 22.67
Short-term Activity Ratio (no. days)
Average payables payment period1 17 16 19 17 15 15 16 16 13 16 17 16 16 16 15 16 16 17 17 16
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Uber Technologies Inc. 16 14 12 14 13 12 12 11 11 13 13 13 12 12 14 16 20 27
United Airlines Holdings Inc. 33 32 28 29 31 30 27 26 29 29 26 29 30 29 28 32 38 37
United Parcel Service Inc. 24 24 27 24 24 22 25 22 22 22 25 23 23 23 27 24 26 26

Based on: 10-K (reporting date: 2026-05-31), 10-Q (reporting date: 2026-02-28), 10-Q (reporting date: 2025-11-30), 10-Q (reporting date: 2025-08-31), 10-K (reporting date: 2025-05-31), 10-Q (reporting date: 2025-02-28), 10-Q (reporting date: 2024-11-30), 10-Q (reporting date: 2024-08-31), 10-K (reporting date: 2024-05-31), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-Q (reporting date: 2023-08-31), 10-K (reporting date: 2023-05-31), 10-Q (reporting date: 2023-02-28), 10-Q (reporting date: 2022-11-30), 10-Q (reporting date: 2022-08-31), 10-K (reporting date: 2022-05-31), 10-Q (reporting date: 2022-02-28), 10-Q (reporting date: 2021-11-30), 10-Q (reporting date: 2021-08-31).

1 Q4 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 21.89 = 17

2 Click competitor name to see calculations.


The analysis of the operating activity ratios reveals a high level of consistency in the management of accounts payable, characterized by a rapid payment cycle and high turnover rates over the observed period.

Payables Turnover Trends
The turnover ratio remained largely stable, generally fluctuating between 21.37 and 23.59 during the initial years. A significant peak was recorded in May 2024, where the ratio reached 27.50, indicating an accelerated rate of payable settlement. Subsequently, a downward trend emerged, with the ratio declining to a low of 19.32 by November 2025, before returning to a range of 21.89 to 22.13 in the final two quarters.
Average Payables Payment Period (APPP)
The payment period predominantly fluctuated within a narrow corridor of 15 to 17 days. A notable contraction occurred in May 2024, with the period dropping to 13 days, which aligns with the peak in turnover. This was followed by a period of gradual expansion, peaking at 19 days in November 2025, suggesting a temporary lengthening of the credit window utilized for supplier obligations. By May 2026, the payment period returned to its historical norm of 17 days.
Operational Analysis
The data demonstrates a strict inverse correlation between payables turnover and the average payment period. The consistency of these metrics suggests a disciplined approach to short-term liability management. The brief extension of the payment period toward the end of 2025 indicates a marginal shift in working capital strategy or liquidity management, though the subsequent return to 16-17 days suggests this was a transient adjustment rather than a structural change in payment behavior.

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Cash Conversion Cycle

FedEx Corp., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
May 31, 2026 Feb 28, 2026 Nov 30, 2025 Aug 31, 2025 May 31, 2025 Feb 28, 2025 Nov 30, 2024 Aug 31, 2024 May 31, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 May 31, 2023 Feb 28, 2023 Nov 30, 2022 Aug 31, 2022 May 31, 2022 Feb 28, 2022 Nov 30, 2021 Aug 31, 2021
Selected Financial Data
Average inventory processing period 3 3 3 2 2 3 3 3 3 3 3 3 2 2 3 2 2 2 2 2
Average receivable collection period 49 47 49 47 47 43 45 43 42 41 44 42 41 42 45 43 46 46 50 47
Average payables payment period 17 16 19 17 15 15 16 16 13 16 17 16 16 16 15 16 16 17 17 16
Short-term Activity Ratio
Cash conversion cycle1 35 34 33 32 34 31 32 30 32 28 30 29 27 28 33 29 32 31 35 33
Benchmarks
Cash Conversion Cycle, Competitors2
United Airlines Holdings Inc. -9 -6 -3 -4 -7 -6 -3 -2 -2 -3 -2 -3 -7 -3 -4 -4 -3 2

Based on: 10-K (reporting date: 2026-05-31), 10-Q (reporting date: 2026-02-28), 10-Q (reporting date: 2025-11-30), 10-Q (reporting date: 2025-08-31), 10-K (reporting date: 2025-05-31), 10-Q (reporting date: 2025-02-28), 10-Q (reporting date: 2024-11-30), 10-Q (reporting date: 2024-08-31), 10-K (reporting date: 2024-05-31), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-Q (reporting date: 2023-08-31), 10-K (reporting date: 2023-05-31), 10-Q (reporting date: 2023-02-28), 10-Q (reporting date: 2022-11-30), 10-Q (reporting date: 2022-08-31), 10-K (reporting date: 2022-05-31), 10-Q (reporting date: 2022-02-28), 10-Q (reporting date: 2021-11-30), 10-Q (reporting date: 2021-08-31).

1 Q4 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 3 + 4917 = 35

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a cash conversion cycle (CCC) that fluctuates within a range of 27 to 35 days over the observed period. A general pattern of relative stability is noted, characterized by a period of efficiency optimization in 2023 followed by a gradual return to higher baseline levels through 2026.

Average Inventory Processing Period
The inventory processing period remains remarkably stable, consistently fluctuating between 2 and 3 days. This indicates a highly efficient turnover of inventory, ensuring that physical assets have a negligible impact on the overall volatility of the cash conversion cycle.
Average Receivable Collection Period
The receivable collection period serves as the primary driver of variation in the CCC. After peaking at 50 days in November 2021, a downward trend was observed, reaching a low of 41 days by May 2023. However, this efficiency gain was not sustained, as the collection period gradually trended upward again, reaching 49 days by May 2026.
Average Payables Payment Period
Management of payables shows consistent behavior, typically remaining between 15 and 17 days. While a brief contraction to 13 days occurred in May 2024, a subsequent peak of 19 days was recorded in November 2025. Overall, the payment period provides a steady, though limited, offset to the cash outflow timing.
Cash Conversion Cycle Dynamics
The CCC reached its peak efficiency of 27 days in May 2023, a movement directly correlated with the reduction in the receivable collection period. The subsequent increase of the cycle to 35 days by May 2026 is primarily attributable to the lengthening of the time required to collect receivables, as inventory processing and payables payment periods remained relatively constant.

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