Old Dominion Freight Line (ODFL) Return on Capital Employed [ROCE] (2010 - 2026)
Old Dominion Freight Line (ODFL) reported Return on Capital Employed [ROCE] of 28.03% for Q2 2026, down 0.52 percentage points from 28.55% a year earlier but up 1.07 percentage points from the prior quarter.
Old Dominion Freight Line (ODFL) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Old Dominion Freight Line posted Return on Capital Employed [ROCE] of 27.24%, down 3.88 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined for three consecutive years, though with a five-year change of +3.43 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 31.12% in FY2024 (-4.31 pp), 35.43% in FY2023 (-7.37 pp), 42.80% in FY2022 (+9.12 pp) and 33.68% in FY2021 (+9.88 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of 26.96% in Q1 2026 and a high of 42.85% in Q4 2022.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last 13 quarters, with an average year-over-year change of -3.27 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2022 (a gain of 11.30 percentage points); the low point was Q1 2024 (a drop of 9.33 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 26.96% (Q1 2026), 27.17% (Q4 2025) and 27.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 15.69% |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 12.29% |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 6.84% |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 11.61% |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 9.67% |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 7.01% |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | 10.65% |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 28.03% |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 8.86% |
| 10 | Ryanair Holdings | 28.28 Bn | 12.29 Bn | 3.13 Bn | 18.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.03% |
| Mar 31, 2026 | 26.96% |
| Dec 31, 2025 | 27.17% |
| Sep 30, 2025 | 27.91% |
| Jun 30, 2025 | 28.55% |
| Mar 31, 2025 | 30.31% |
| Dec 31, 2024 | 31.39% |
| Sep 30, 2024 | 33.76% |
| Jun 30, 2024 | 33.86% |
| Mar 31, 2024 | 32.68% |
| Dec 31, 2023 | 33.75% |
| Sep 30, 2023 | 35.97% |
| Jun 30, 2023 | 38.10% |
| Mar 31, 2023 | 42.00% |
| Dec 31, 2022 | 42.85% |
| Sep 30, 2022 | 42.82% |
| Jun 30, 2022 | 40.44% |
| Mar 31, 2022 | 36.43% |
| Dec 31, 2021 | 32.72% |
| Sep 30, 2021 | 31.52% |
Old Dominion Freight Line Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=ODFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=ODFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();