GXO Logistics (GXO) EBITDA (2020 - 2026)
GXO Logistics (GXO) recorded EBITDA of $194 million in Q2 2026, down 2.5% from $199 million a year earlier but up 26.0% from the prior quarter.
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Analysis
GXO Logistics (GXO) EBITDA (2020 - 2026) Analysis & Trends
On a TTM basis, GXO Logistics' EBITDA came in at $798 million as of Jun 30, 2026, up 21.3% year-over-year; for FY2025, it came in at $702 million, up 10.9% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $633 million in FY2024 (-6.8%), $679 million in FY2023 (+18.9%), $571 million in FY2022 (+17.5%) and $486 million in FY2021 (+43.4%).
- Quarterly EBITDA has ranged from $53 million in Q1 2024 to $236 million in Q3 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in five of the last eight quarters, with growth averaging 30.6%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 190.6% in Q1 2026, against a decline of 57.6% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $154 million (Q1 2026), $214 million (Q4 2025) and $236 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.63 Bn | 166.16 Bn | - | 3.40 Bn |
| 2 | Csx | 89.86 Bn | 86.06 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 84.68 Bn | 61.58 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 77.92 Bn | 76.94 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.47 Bn | 68.11 Bn | - | 1.48 Bn |
| 6 | Fedex | 71.66 Bn | 37.60 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 50.99 Bn | 33.17 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.40 Bn | 38.66 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 32.59 Bn | -23.79 Bn | - | 1.86 Bn |
| 10 | GXO Logistics | 5.60 Bn | 2.84 Bn | 508.00 Mn | 194.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 194.00 Mn |
| Mar 31, 2026 | 154.00 Mn |
| Dec 31, 2025 | 214.00 Mn |
| Sep 30, 2025 | 236.00 Mn |
| Jun 30, 2025 | 199.00 Mn |
| Mar 31, 2025 | 53.00 Mn |
| Dec 31, 2024 | 214.00 Mn |
| Sep 30, 2024 | 192.00 Mn |
| Jun 30, 2024 | 174.00 Mn |
| Mar 31, 2024 | 53.00 Mn |
| Dec 31, 2023 | 180.00 Mn |
| Sep 30, 2023 | 191.00 Mn |
| Jun 30, 2023 | 183.00 Mn |
| Mar 31, 2023 | 125.00 Mn |
| Dec 31, 2022 | 161.00 Mn |
| Sep 30, 2022 | 161.00 Mn |
| Jun 30, 2022 | 136.00 Mn |
| Mar 31, 2022 | 113.00 Mn |
| Dec 31, 2021 | 139.00 Mn |
| Sep 30, 2021 | 121.00 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();