GXO Logistics (GXO) Long-Term Debt Repayments (2020 - 2026)
GXO Logistics' Long-Term Debt Repayments was $21 million in Q3 2026, compared with -$41 million a year earlier and up 90.9% from the prior quarter.
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Analysis
GXO Logistics (GXO) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, GXO Logistics' Long-Term Debt Repayments was $238 million through Sep 30, 2026, up 27.3% year-over-year; for FY2025, it came in at $230 million, down 30.5% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $331 million in FY2024 (+119.2%), $151 million in FY2023 (+31.3%), $115 million in FY2022 (+59.7%) and $72 million in FY2021 (-41.5%).
- Quarterly Long-Term Debt Repayments has moved between -$41 million (Q3 2025) and $207 million (Q2 2024) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last five quarters, with an average decline of 11.5%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2023 (growth of 222.2%); the worst was Q2 2026 (a decline of 83.8%).
- Per Business Quant data, GXO's Long-Term Debt Repayments in the three quarters before Q3 2026 was $11 million (Q2 2026), $14 million (Q1 2026) and $192 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 13.00 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 48.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.00 Mn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 4.29 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 1.34 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 11.00 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 1.23 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 1.00 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | - |
| 10 | GXO Logistics | 6.29 Bn | 3.53 Bn | 526.00 Mn | 21.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.00 Mn |
| Jun 30, 2026 | 11.00 Mn |
| Mar 31, 2026 | 14.00 Mn |
| Dec 31, 2025 | 136.00 Mn |
| Sep 30, 2025 | 15.00 Mn |
| Jun 30, 2025 | 68.00 Mn |
| Mar 31, 2025 | 11.00 Mn |
| Dec 31, 2024 | 149.00 Mn |
| Sep 30, 2024 | -33.00 Mn |
| Jun 30, 2024 | 207.00 Mn |
| Mar 31, 2024 | 8.00 Mn |
| Dec 31, 2023 | -12.00 Mn |
| Sep 30, 2023 | 9.00 Mn |
| Jun 30, 2023 | 125.00 Mn |
| Mar 31, 2023 | 29.00 Mn |
| Dec 31, 2022 | 92.00 Mn |
| Sep 30, 2022 | 8.00 Mn |
| Jun 30, 2022 | 6.00 Mn |
| Mar 31, 2022 | 9.00 Mn |
| Dec 31, 2021 | 8.00 Mn |
API Access
GXO Logistics Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();