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.
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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 | 176.01 Bn | 168.25 Bn | - | 50.59 Bn |
| 2 | Csx | 93.62 Bn | 88.85 Bn | - | 30.82 Bn |
| 3 | United Parcel Service | 92.85 Bn | 69.67 Bn | - | 57.69 Bn |
| 4 | Canadian Pacific Kansas City | 82.31 Bn | 81.35 Bn | - | 30.08 Bn |
| 5 | Fedex | 74.59 Bn | 40.78 Bn | - | 67.29 Bn |
| 6 | Norfolk Southern | 72.94 Bn | 67.40 Bn | - | 29.22 Bn |
| 7 | Delta Air Lines | 59.87 Bn | 42.05 Bn | - | 63.54 Bn |
| 8 | United Airlines Holdings | 39.08 Bn | -18.61 Bn | - | 67.37 Bn |
| 9 | Old Dominion Freight Line | 34.91 Bn | 33.76 Bn | - | 1.22 Bn |
| 10 | Ryanair Holdings | 32.51 Bn | -871.89 Mn | - | 11.05 Bn |
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();