GXO Logistics (GXO) Total Liabilities (2020 - 2026)
GXO Logistics (GXO) recorded Total Liabilities of $9.35 billion in Q2 2026, up 4.4% from $8.95 billion a year earlier and up 1.7% from the prior quarter.
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Analysis
GXO Logistics (GXO) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, GXO Logistics reported Total Liabilities of $9.25 billion, up 12.3% from FY2024.
- Annual Total Liabilities has increased for five straight years, with a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $8.23 billion in FY2024 (+25.5%), $6.56 billion in FY2023 (+0.3%), $6.54 billion in FY2022 (+34.0%) and $4.88 billion in FY2021 (+35.6%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has increased for 17 consecutive quarters, with growth averaging 16.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 0.3% (Q4 2023) to 47.9% (Q2 2022).
- Per Business Quant, the preceding three quarters came in at $9.19 billion (Q1 2026), $9.25 billion (Q4 2025) and $8.92 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 50.54 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 30.64 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 56.17 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 29.33 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 28.87 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 63.54 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 1.19 Bn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 67.87 Bn |
| 10 | GXO Logistics | 5.46 Bn | 2.71 Bn | 508.00 Mn | 9.35 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.35 Bn |
| Mar 31, 2026 | 9.19 Bn |
| Dec 31, 2025 | 9.25 Bn |
| Sep 30, 2025 | 8.92 Bn |
| Jun 30, 2025 | 8.95 Bn |
| Mar 31, 2025 | 8.42 Bn |
| Dec 31, 2024 | 8.23 Bn |
| Sep 30, 2024 | 8.76 Bn |
| Jun 30, 2024 | 8.43 Bn |
| Mar 31, 2024 | 6.48 Bn |
| Dec 31, 2023 | 6.56 Bn |
| Sep 30, 2023 | 6.27 Bn |
| Jun 30, 2023 | 6.32 Bn |
| Mar 31, 2023 | 6.37 Bn |
| Dec 31, 2022 | 6.54 Bn |
| Sep 30, 2022 | 6.21 Bn |
| Jun 30, 2022 | 6.15 Bn |
| Mar 31, 2022 | 4.75 Bn |
| Dec 31, 2021 | 4.88 Bn |
| Sep 30, 2021 | 4.80 Bn |
API Access
GXO Logistics 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=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GXO", "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=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();