Xpo (XPO) Total Liabilities (2010 - 2026)
Xpo (XPO) reported Total Liabilities of $6.37 billion for Q2 2026, up 0.3% from $6.35 billion a year earlier and up 0.6% from the prior quarter.
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Analysis
Xpo (XPO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Xpo posted Total Liabilities of $6.33 billion, up 3.6% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -13.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $6.11 billion in FY2024 (-1.8%), $6.23 billion in FY2023 (+18.4%), $5.26 billion in FY2022 (-30.6%) and $7.58 billion in FY2021 (-43.1%).
- Five-year quarterly Total Liabilities spans a low of $5.23 billion in Q3 2023 and a high of $7.72 billion in Q1 2022.
- Year over year, Total Liabilities has now increased in each of the last five quarters, with growth averaging 3.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2024 (growth of 20.1%); the low point was Q2 2022 (a decline of 45.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.33 billion (Q1 2026), $6.33 billion (Q4 2025) and $6.37 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.08 Bn | 165.61 Bn | - | 50.54 Bn |
| 2 | Csx | 89.46 Bn | 85.67 Bn | - | 30.64 Bn |
| 3 | United Parcel Service | 84.08 Bn | 60.97 Bn | - | 56.17 Bn |
| 4 | Canadian Pacific Kansas City | 77.33 Bn | 76.35 Bn | - | 29.33 Bn |
| 5 | Norfolk Southern | 73.29 Bn | 67.93 Bn | - | 28.87 Bn |
| 6 | Fedex | 71.23 Bn | 37.18 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 50.21 Bn | 32.39 Bn | - | 63.54 Bn |
| 8 | Old Dominion Freight Line | 39.21 Bn | 38.47 Bn | - | 1.19 Bn |
| 9 | United Airlines Holdings | 31.76 Bn | -24.61 Bn | - | 67.87 Bn |
| 10 | Xpo | 21.83 Bn | 20.65 Bn | - | 6.37 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.37 Bn |
| Mar 31, 2026 | 6.33 Bn |
| Dec 31, 2025 | 6.33 Bn |
| Sep 30, 2025 | 6.37 Bn |
| Jun 30, 2025 | 6.35 Bn |
| Mar 31, 2025 | 6.24 Bn |
| Dec 31, 2024 | 6.11 Bn |
| Sep 30, 2024 | 6.28 Bn |
| Jun 30, 2024 | 6.23 Bn |
| Mar 31, 2024 | 6.27 Bn |
| Dec 31, 2023 | 6.23 Bn |
| Sep 30, 2023 | 5.23 Bn |
| Jun 30, 2023 | 5.23 Bn |
| Mar 31, 2023 | 5.29 Bn |
| Dec 31, 2022 | 5.26 Bn |
| Sep 30, 2022 | 6.72 Bn |
| Jun 30, 2022 | 6.93 Bn |
| Mar 31, 2022 | 7.72 Bn |
| Dec 31, 2021 | 7.58 Bn |
| Sep 30, 2021 | 7.52 Bn |
API Access
Xpo 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=XPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "XPO", "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=XPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();