GXO Logistics (GXO) Short term Debt (2020 - 2026)
GXO Logistics (GXO) posted Short term Debt of $751.0 million for Q2 2026, up 62.2% on a QoQ basis from $463.0 million in Q1 2026, and up 734.44% year-over-year from $90.0 million in Q2 2025.
GXO Logistics (GXO) Short term Debt (2020 - 2026) Analysis & Trends
GXO Logistics has reported Short term Debt for 7 years, with the latest figure at $751.0 million in Q2 2026.
- On a quarterly basis, Short term Debt rose 734.44% year-over-year to $751.0 million in Q2 2026; TTM through Jun 2026 was $751.0 million, a 734.44% increase from a year earlier, with the FY2025 full-year figure at $446.0 million, up 305.45% from the prior year.
- Short term Debt was $751.0 million for Q2 2026 at GXO Logistics, up from $463.0 million in the prior quarter.
- The five-year high for Short term Debt was $751.0 million in Q2 2026, with the low at $26.0 million in Q3 2023.
- Average Short term Debt over 5 years is $198.6 million, with a median of $102.0 million recorded in 2022.
- The sharpest annual moves came in 2023 and 2024: Short term Debt slumped 72.34% in 2023, then surged 757.69% in 2024.
- Over 5 years, Short term Debt stood at $67.0 million in 2022, then slumped by 59.7% to $27.0 million in 2023, then soared by 307.41% to $110.0 million in 2024, then soared by 305.45% to $446.0 million in 2025, then soared by 68.39% to $751.0 million in 2026.
- The last three Short term Debt figures came in at $751.0 million (Q2 2026), $463.0 million (Q1 2026), and $446.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 751.00 Mn |
| Mar 31, 2026 | 463.00 Mn |
| Dec 31, 2025 | 446.00 Mn |
| Sep 30, 2025 | 522.00 Mn |
| Jun 30, 2025 | 90.00 Mn |
| Mar 31, 2025 | 175.00 Mn |
| Dec 31, 2024 | 110.00 Mn |
| Sep 30, 2024 | 223.00 Mn |
| Jun 30, 2024 | 219.00 Mn |
| Mar 31, 2024 | 126.00 Mn |
| Dec 31, 2023 | 27.00 Mn |
| Sep 30, 2023 | 26.00 Mn |
| Jun 30, 2023 | 35.00 Mn |
| Mar 31, 2023 | 84.00 Mn |
| Dec 31, 2022 | 67.00 Mn |
| Sep 30, 2022 | 94.00 Mn |
| Jun 30, 2022 | 84.00 Mn |
| Mar 31, 2022 | 32.00 Mn |
| Dec 31, 2021 | 34.00 Mn |
| Sep 30, 2021 | 40.00 Mn |
GXO Logistics Short term Debt 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=short-term-debt&ticker=GXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();