GXO Logistics (GXO) EBITDA (2020 - 2026)
GXO Logistics (GXO) posted EBITDA of $166.0 million for Q2 2026, up 32.8% on a QoQ basis from $125.0 million in Q1 2026, and down 1.78% year-over-year from $169.0 million in Q2 2025.
Powered by 
Analysis
GXO Logistics (GXO) EBITDA (2020 - 2026) Analysis & Trends
GXO Logistics has reported EBITDA for 7 years, with the latest figure at $166.0 million in Q2 2026.
- On a quarterly basis, EBITDA fell 1.78% year-over-year to $166.0 million in Q2 2026; TTM through Jun 2026 was $681.0 million, a 28.01% increase from a year earlier, with the FY2025 full-year figure at $583.0 million, up 11.05% from the prior year.
- EBITDA was $166.0 million for Q2 2026 at GXO Logistics, up from $125.0 million in the prior quarter.
- The five-year high for EBITDA was $205.0 million in Q3 2025, with the low at $24.0 million in Q1 2025.
- Average EBITDA over 5 years is $108.8 million, with a median of $94.5 million recorded in 2023.
- The sharpest annual moves came in 2025 and 2026: EBITDA dropped 29.41% in 2025, then soared 420.83% in 2026.
- Over 5 years, EBITDA stood at $74.0 million in 2022, then gained by 17.57% to $87.0 million in 2023, then soared by 110.34% to $183.0 million in 2024, then grew by 1.09% to $185.0 million in 2025, then dropped by 10.27% to $166.0 million in 2026.
- The last three EBITDA figures came in at $166.0 million (Q2 2026), $125.0 million (Q1 2026), and $185.0 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 26.66 Bn | 23.33 Bn | 732.88 Mn | 464.28 Mn |
| 2 | Expeditors International Of Washington | 24.38 Bn | 23.35 Bn | 1.09 Bn | 349.62 Mn |
| 3 | C. H. Robinson Worldwide | 17.52 Bn | 17.36 Bn | 1.11 Bn | 255.74 Mn |
| 4 | Rb Global | 15.43 Bn | 14.90 Bn | 935.50 Mn | 224.80 Mn |
| 5 | Ryder System | 9.07 Bn | 9.07 Bn | 1.45 Bn | -1.71 Bn |
| 6 | Landstar System | 5.72 Bn | 5.38 Bn | 308.86 Mn | 66.23 Mn |
| 7 | GXO Logistics | 5.25 Bn | 4.52 Bn | 508.00 Mn | 166.00 Mn |
| 8 | Rxo | 3.26 Bn | 3.25 Bn | 302.00 Mn | 1.00 Mn |
| 9 | Hub | 1.94 Bn | 1.85 Bn | 250.84 Mn | 41.54 Mn |
| 10 | Cryoport | 889.89 Mn | 493.20 Mn | 22.82 Mn | -10.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 166.00 Mn |
| Mar 31, 2026 | 125.00 Mn |
| Dec 31, 2025 | 185.00 Mn |
| Sep 30, 2025 | 205.00 Mn |
| Jun 30, 2025 | 169.00 Mn |
| Mar 31, 2025 | 24.00 Mn |
| Dec 31, 2024 | 183.00 Mn |
| Sep 30, 2024 | 156.00 Mn |
| Jun 30, 2024 | 152.00 Mn |
| Mar 31, 2024 | 34.00 Mn |
| Dec 31, 2023 | 87.00 Mn |
| Sep 30, 2023 | 90.00 Mn |
| Jun 30, 2023 | 99.00 Mn |
| Mar 31, 2023 | 42.00 Mn |
| Dec 31, 2022 | 74.00 Mn |
| Sep 30, 2022 | 72.00 Mn |
| Jun 30, 2022 | 59.00 Mn |
| Mar 31, 2022 | 37.00 Mn |
| Dec 31, 2021 | 63.00 Mn |
| Sep 30, 2021 | 36.00 Mn |
API Access
GXO Logistics EBITDA 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=ebitda&ticker=GXO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();