Marten Transport (MRTN) Return on Sales [ROS] (2010 - 2026)
Marten Transport's Return on Sales [ROS] was 3.09% in Q2 2026, down 1.14 percentage points from 4.23% a year earlier but up 2.31 percentage points from the prior quarter.
Marten Transport (MRTN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marten Transport's Return on Sales [ROS] was 1.85% through Jun 30, 2026, down 1.04 percentage points year-over-year; for FY2025, it was 2.59%, down 0.85 percentage points from FY2024.
- Return on Sales [ROS] has now declined for four consecutive years, with a five-year change of -8.07 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 3.45% in FY2024 (-4.52 pp), 7.96% in FY2023 (-3.38 pp), 11.34% in FY2022 (-0.13 pp) and 11.47% in FY2021 (+0.81 pp).
- Quarterly Return on Sales [ROS] has moved between 0.78% (Q1 2026) and 12.48% (Q1 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for four straight quarters, with an average year-over-year change of -1.71 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2022 (a gain of 1.72 percentage points); the worst was Q2 2024 (a drop of 5.83 percentage points).
- Per Business Quant data, MRTN's Return on Sales [ROS] in the three quarters before Q2 2026 was 0.78% (Q1 2026), 2.18% (Q4 2025) and 1.24% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 40.89% |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 39.08% |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 35.35% |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 4.07% |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 32.61% |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 6.20% |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | 7.20% |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | 8.09% |
| 10 | Marten Transport | 961.97 Mn | 695.45 Mn | - | 3.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.09% |
| Mar 31, 2026 | 0.78% |
| Dec 31, 2025 | 2.18% |
| Sep 30, 2025 | 1.24% |
| Jun 30, 2025 | 4.23% |
| Mar 31, 2025 | 2.63% |
| Dec 31, 2024 | 2.92% |
| Sep 30, 2024 | 1.80% |
| Jun 30, 2024 | 4.05% |
| Mar 31, 2024 | 4.91% |
| Dec 31, 2023 | 5.84% |
| Sep 30, 2023 | 6.16% |
| Jun 30, 2023 | 9.88% |
| Mar 31, 2023 | 9.73% |
| Dec 31, 2022 | 10.16% |
| Sep 30, 2022 | 10.41% |
| Jun 30, 2022 | 12.42% |
| Mar 31, 2022 | 12.48% |
| Dec 31, 2021 | 11.49% |
| Sep 30, 2021 | 11.34% |
Marten Transport 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=MRTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MRTN", "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=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();