Rxo (RXO) EV to EBITDA (2022 - 2026)
Rxo's EV to EBITDA was 151.17 in Q2 2026, up 148.1% from 60.94 a year earlier and up 108.8% from the prior quarter.
Rxo (RXO) EV to EBITDA (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rxo's EV to EBITDA was 149.07 through Jun 30, 2026, up 155.2% year-over-year; for FY2025, it came in at 55.62, down 45.2% from FY2024.
- In earlier years, EV to EBITDA was 101.47 in FY2024 (+295.9%), 25.63 in FY2023 (+181.4%) and 9.11 in FY2022.
- The Q2 2026 figure marks the highest quarterly EV to EBITDA in data going back to Q4 2022.
- Compared with a year earlier, EV to EBITDA was higher in five of the last eight quarters, with growth averaging 113.1%.
- The best year-over-year quarter for EV to EBITDA over five years was Q4 2024 (growth of 295.9%); the worst was Q3 2025 (a decline of 52.2%).
- Per Business Quant data, RXO's EV to EBITDA in the three quarters before Q2 2026 was 72.40 (Q1 2026), 55.62 (Q4 2025) and 41.65 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 171.86 Bn | 166.38 Bn | - |
| 2 | Csx | 89.61 Bn | 85.81 Bn | - |
| 3 | United Parcel Service | 84.21 Bn | 61.11 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.91 Bn | 76.93 Bn | - |
| 5 | Norfolk Southern | 73.58 Bn | 68.22 Bn | - |
| 6 | Fedex | 71.06 Bn | 37.00 Bn | - |
| 7 | Delta Air Lines | 51.19 Bn | 33.38 Bn | - |
| 8 | Old Dominion Freight Line | 39.28 Bn | 38.54 Bn | - |
| 9 | United Airlines Holdings | 32.90 Bn | -23.47 Bn | - |
| 10 | Rxo | 4.92 Bn | 4.84 Bn | 302.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 151.17 |
| Mar 31, 2026 | 72.40 |
| Dec 31, 2025 | 55.62 |
| Sep 30, 2025 | 41.65 |
| Jun 30, 2025 | 60.94 |
| Mar 31, 2025 | 107.40 |
| Dec 31, 2024 | 101.47 |
| Sep 30, 2024 | 87.20 |
| Jun 30, 2024 | 42.62 |
| Mar 31, 2024 | 29.47 |
| Dec 31, 2023 | 25.63 |
| Sep 30, 2023 | 22.73 |
| Jun 30, 2023 | 22.37 |
| Mar 31, 2023 | 13.59 |
| Dec 31, 2022 | 9.11 |
Rxo EV to 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=ev-to-ebitda&ticker=RXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "RXO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=RXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();