Xpo (XPO) EBITDA (2010 - 2026)
Xpo's EBITDA came in at $405 million for Q2 2026, up 23.1% from $329 million a year earlier and up 32.8% from the prior quarter.
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Analysis
Xpo (XPO) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xpo reported EBITDA of $1.28 billion, up 8.9% year-over-year; for FY2025, it was $1.18 billion, up 2.3% from FY2024.
- EBITDA has increased in each of the last five years, with a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- Going back by year, EBITDA was $1.15 billion in FY2024 (+32.2%), $870 million in FY2023 (+13.1%), $769 million in FY2022 (+10.3%) and $697 million in FY2021 (+46.7%).
- The Q2 2026 figure represents the highest quarterly EBITDA since Q3 2019.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 9.5% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2023 (growth of 117.8%), and the weakest in Q4 2021 (a decline of 47.8%).
- Business Quant data shows XPO's EBITDA at $305 million (Q1 2026), $276 million (Q4 2025) and $298 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 3.40 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 1.48 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 1.86 Bn |
| 10 | Xpo | 21.66 Bn | 20.48 Bn | - | 405.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 405.00 Mn |
| Mar 31, 2026 | 305.00 Mn |
| Dec 31, 2025 | 276.00 Mn |
| Sep 30, 2025 | 298.00 Mn |
| Jun 30, 2025 | 329.00 Mn |
| Mar 31, 2025 | 274.00 Mn |
| Dec 31, 2024 | 274.00 Mn |
| Sep 30, 2024 | 302.00 Mn |
| Jun 30, 2024 | 319.00 Mn |
| Mar 31, 2024 | 255.00 Mn |
| Dec 31, 2023 | 233.00 Mn |
| Sep 30, 2023 | 264.00 Mn |
| Jun 30, 2023 | 214.00 Mn |
| Mar 31, 2023 | 159.00 Mn |
| Dec 31, 2022 | 107.00 Mn |
| Sep 30, 2022 | 238.00 Mn |
| Jun 30, 2022 | 267.00 Mn |
| Mar 31, 2022 | 157.00 Mn |
| Dec 31, 2021 | 94.00 Mn |
| Sep 30, 2021 | 183.00 Mn |
API Access
Xpo 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=XPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "XPO", "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=XPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();