Old Dominion Freight Line (ODFL) EBITDA (2009 - 2026)
Old Dominion Freight Line (ODFL) posted EBITDA of $557.01 million for Q2 2026, up 24.2% from $448.56 million a year earlier and up 36.0% from the prior quarter.
Old Dominion Freight Line (ODFL) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Old Dominion Freight Line was $1.82 billion, up 1.7% year-over-year; for FY2025, it came in at $1.73 billion, down 8.6% from FY2024.
- Annual EBITDA has declined for three consecutive years, though with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, Old Dominion Freight Line's EBITDA was $1.89 billion in FY2024 (-3.9%), $1.97 billion in FY2023 (-7.2%), $2.12 billion in FY2022 (+28.2%) and $1.65 billion in FY2021 (+41.4%).
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q3 2022.
- On a year-over-year basis, EBITDA increased in 1 of the last eight quarters, with an average decline of 4.8%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2022, with growth of 41.8%; the weakest was Q2 2023, with a decline of 18.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $409.65 million (Q1 2026), $396.92 million (Q4 2025) and $453.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.01 Bn | 168.25 Bn | - | 3.59 Bn |
| 2 | Csx | 93.62 Bn | 88.85 Bn | - | 1.98 Bn |
| 3 | United Parcel Service | 92.85 Bn | 69.67 Bn | - | 2.71 Bn |
| 4 | Canadian Pacific Kansas City | 82.31 Bn | 81.35 Bn | - | 1.44 Bn |
| 5 | Fedex | 74.59 Bn | 40.78 Bn | - | 2.68 Bn |
| 6 | Norfolk Southern | 72.94 Bn | 67.40 Bn | - | 1.51 Bn |
| 7 | Delta Air Lines | 59.87 Bn | 42.05 Bn | - | 2.13 Bn |
| 8 | United Airlines Holdings | 39.08 Bn | -18.61 Bn | - | 2.22 Bn |
| 9 | Old Dominion Freight Line | 34.91 Bn | 33.76 Bn | - | 543.07 Mn |
| 10 | Ryanair Holdings | 32.51 Bn | -871.89 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 543.07 Mn |
| Jun 30, 2026 | 557.01 Mn |
| Mar 31, 2026 | 409.65 Mn |
| Dec 31, 2025 | 396.92 Mn |
| Sep 30, 2025 | 453.06 Mn |
| Jun 30, 2025 | 448.56 Mn |
| Mar 31, 2025 | 427.19 Mn |
| Dec 31, 2024 | 422.83 Mn |
| Sep 30, 2024 | 488.53 Mn |
| Jun 30, 2024 | 506.26 Mn |
| Mar 31, 2024 | 470.96 Mn |
| Dec 31, 2023 | 505.66 Mn |
| Sep 30, 2023 | 529.08 Mn |
| Jun 30, 2023 | 471.38 Mn |
| Mar 31, 2023 | 459.00 Mn |
| Dec 31, 2022 | 502.29 Mn |
| Sep 30, 2022 | 564.43 Mn |
| Jun 30, 2022 | 577.02 Mn |
| Mar 31, 2022 | 472.96 Mn |
| Dec 31, 2021 | 439.28 Mn |
Old Dominion Freight Line 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=ODFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ODFL", "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=ODFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();