Old Dominion Freight Line (ODFL) Return on Sales [ROS] (2009 - 2026)
Old Dominion Freight Line (ODFL) recorded Return on Sales [ROS] of 29.94% in Q2 2026, up 4.52 percentage points from 25.42% a year earlier and up 6.17 percentage points from the prior quarter.
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Analysis
Old Dominion Freight Line (ODFL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Old Dominion Freight Line's Return on Sales [ROS] came in at 25.84% as of Jun 30, 2026, up 0.45 percentage points year-over-year; for FY2025, it came in at 24.76%, down 1.79 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three straight years, though with a five-year change of +2.18 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 26.55% in FY2024 (-1.42 pp), 27.97% in FY2023 (-1.43 pp), 29.40% in FY2022 (+2.93 pp) and 26.47% in FY2021 (+3.89 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q3 2022.
- On a year-over-year basis, Return on Sales [ROS] rose in 1 of the last eight quarters, with an average year-over-year change of -1.18 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4.52 percentage points in Q2 2026, against a drop of 4.05 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 23.78% (Q1 2026), 23.27% (Q4 2025) and 25.66% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 179.72 Bn | 171.97 Bn | - | 40.89% |
| 2 | Csx | 95.95 Bn | 91.18 Bn | - | 39.08% |
| 3 | United Parcel Service | 84.51 Bn | 61.36 Bn | 22.04 Bn | 7.63% |
| 4 | Canadian Pacific Kansas City | 81.84 Bn | 81.57 Bn | 57.15 Mn | 35.25% |
| 5 | Fedex | 76.69 Bn | 42.88 Bn | 18.84 Bn | 6.20% |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 32.61% |
| 7 | Delta Air Lines | 56.72 Bn | 38.90 Bn | - | 7.20% |
| 8 | Old Dominion Freight Line | 36.07 Bn | 34.91 Bn | 1.56 Bn | 28.46% |
| 9 | United Airlines Holdings | 35.51 Bn | -22.18 Bn | - | 8.09% |
| 10 | Ryanair Holdings | 30.13 Bn | 14.39 Bn | - | 31.94% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.46% |
| Jun 30, 2026 | 29.94% |
| Mar 31, 2026 | 23.78% |
| Dec 31, 2025 | 23.27% |
| Sep 30, 2025 | 25.66% |
| Jun 30, 2025 | 25.42% |
| Mar 31, 2025 | 24.59% |
| Dec 31, 2024 | 24.10% |
| Sep 30, 2024 | 27.33% |
| Jun 30, 2024 | 28.14% |
| Mar 31, 2024 | 26.47% |
| Dec 31, 2023 | 28.15% |
| Sep 30, 2023 | 29.37% |
| Jun 30, 2023 | 27.71% |
| Mar 31, 2023 | 26.56% |
| Dec 31, 2022 | 28.84% |
| Sep 30, 2022 | 30.93% |
| Jun 30, 2022 | 30.51% |
| Mar 31, 2022 | 27.09% |
| Dec 31, 2021 | 26.41% |
API Access
Old Dominion Freight Line Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=ODFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=ODFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();