Fedex (FDX) Accumulated Expenses (2009 - 2026)
Fedex (FDX) posted Accumulated Expenses of $5.73 billion for fiscal Q4 2026 (quarter ended May 31, 2026), up 14.6% from $5 billion a year earlier and up 14.3% from the prior quarter.
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Analysis
Fedex (FDX) Accumulated Expenses (2009 - 2026) Analysis & Trends
Since fiscal Q4 2009, Fedex has reported Accumulated Expenses for 66 quarters.
- Annual Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- In prior fiscal years, Fedex's Accumulated Expenses was $5 billion in FY2025 (+0.7%), $4.96 billion in FY2024 (+4.5%), $4.75 billion in FY2023 (-8.5%) and $5.19 billion in FY2022 (+13.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2009.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last six quarters, with growth averaging 6.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2022, with growth of 16.6%; the weakest was fiscal Q4 2023, with a decline of 8.5%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $5.01 billion (Q3 2026), $5.31 billion (Q2 2026) and $5.49 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Copart | 25.27 Bn | 9.69 Bn | 645.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 5.73 Bn |
| Feb 28, 2026 | 5.01 Bn |
| Nov 30, 2025 | 5.31 Bn |
| Aug 31, 2025 | 5.49 Bn |
| May 31, 2025 | 5.00 Bn |
| Feb 28, 2025 | 4.56 Bn |
| Nov 30, 2024 | 4.66 Bn |
| Aug 31, 2024 | 4.91 Bn |
| May 31, 2024 | 4.96 Bn |
| Feb 29, 2024 | 4.47 Bn |
| Nov 30, 2023 | 4.75 Bn |
| Aug 31, 2023 | 4.92 Bn |
| May 31, 2023 | 4.75 Bn |
| Feb 28, 2023 | 4.73 Bn |
| Nov 30, 2022 | 4.96 Bn |
| Aug 31, 2022 | 4.73 Bn |
| May 31, 2022 | 5.19 Bn |
| Feb 28, 2022 | 4.80 Bn |
| Nov 30, 2021 | 4.67 Bn |
| Aug 31, 2021 | 4.50 Bn |
API Access
Fedex Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=FDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FDX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=FDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();