Fedex (FDX) Total Liabilities (2009 - 2026)
Fedex (FDX) reported Total Liabilities of $67.29 billion for fiscal Q4 2026 (quarter ended May 31, 2026), up 13.0% from $59.55 billion a year earlier and up 3.6% from the prior quarter.
Powered by 
Analysis
Fedex (FDX) Total Liabilities (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2009, Fedex's Total Liabilities record includes 66 quarters.
- Total Liabilities has a five-year compound annual growth rate of 2.8% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $59.55 billion in FY2025 (+0.2%), $59.43 billion in FY2024 (-2.7%), $61.06 billion in FY2023 (unchanged) and $61.06 billion in FY2022 (+4.2%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- Year over year, Total Liabilities has now increased in each of the last five quarters, with growth averaging 2.7% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2026 (growth of 13.0%); the low point was fiscal Q2 2025 (a decline of 3.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $64.93 billion (Q3 2026), $61.04 billion (Q2 2026) and $60.65 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 50.54 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Copart | 25.14 Bn | 9.56 Bn | 645.66 Mn | 930.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 67.29 Bn |
| Feb 28, 2026 | 64.93 Bn |
| Nov 30, 2025 | 61.04 Bn |
| Aug 31, 2025 | 60.65 Bn |
| May 31, 2025 | 59.55 Bn |
| Feb 28, 2025 | 58.34 Bn |
| Nov 30, 2024 | 59.02 Bn |
| Aug 31, 2024 | 59.54 Bn |
| May 31, 2024 | 59.43 Bn |
| Feb 29, 2024 | 59.74 Bn |
| Nov 30, 2023 | 61.29 Bn |
| Aug 31, 2023 | 61.04 Bn |
| May 31, 2023 | 61.06 Bn |
| Feb 28, 2023 | 61.04 Bn |
| Nov 30, 2022 | 61.48 Bn |
| Aug 31, 2022 | 60.69 Bn |
| May 31, 2022 | 61.06 Bn |
| Feb 28, 2022 | 59.58 Bn |
| Nov 30, 2021 | 59.31 Bn |
| Aug 31, 2021 | 57.73 Bn |
API Access
Fedex Total Liabilities 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=total-liabilities&ticker=FDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();