Marten Transport (MRTN) Revenue (2010 - 2026)
Marten Transport's Revenue was $223.54 million in Q2 2026, down 2.8% from $229.92 million a year earlier but up 9.8% from the prior quarter.
Marten Transport (MRTN) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marten Transport's Revenue was $857.65 million through Jun 30, 2026, down 6.9% year-over-year; for FY2025, it came in at $883.65 million, down 8.3% from FY2024.
- Revenue has now declined for three consecutive years, though with a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier years, Revenue was $963.71 million in FY2024 (-14.8%), $1.13 billion in FY2023 (-10.5%), $1.26 billion in FY2022 (+29.8%) and $973.64 million in FY2021 (+11.4%).
- Quarterly Revenue has moved between $203.53 million (Q1 2026) and $329.57 million (Q2 2022) over five years.
- Compared with a year earlier, Revenue has declined for 13 straight quarters, with an average decline of 9.2% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q2 2022 (growth of 41.8%); the worst was Q4 2023 (a decline of 16.9%).
- Per Business Quant data, MRTN's Revenue in the three quarters before Q2 2026 was $203.53 million (Q1 2026), $210.11 million (Q4 2025) and $220.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 6.86 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 3.94 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 22.83 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 3.01 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 3.47 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 25.01 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 20.19 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 1.55 Bn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 17.67 Bn |
| 10 | Marten Transport | 1.02 Bn | 755.06 Mn | - | 223.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 223.54 Mn |
| Mar 31, 2026 | 203.53 Mn |
| Dec 31, 2025 | 210.11 Mn |
| Sep 30, 2025 | 220.47 Mn |
| Jun 30, 2025 | 229.92 Mn |
| Mar 31, 2025 | 223.15 Mn |
| Dec 31, 2024 | 230.43 Mn |
| Sep 30, 2024 | 237.37 Mn |
| Jun 30, 2024 | 246.24 Mn |
| Mar 31, 2024 | 249.67 Mn |
| Dec 31, 2023 | 268.22 Mn |
| Sep 30, 2023 | 279.54 Mn |
| Jun 30, 2023 | 285.67 Mn |
| Mar 31, 2023 | 298.02 Mn |
| Dec 31, 2022 | 322.58 Mn |
| Sep 30, 2022 | 324.45 Mn |
| Jun 30, 2022 | 329.57 Mn |
| Mar 31, 2022 | 287.28 Mn |
| Dec 31, 2021 | 266.88 Mn |
| Sep 30, 2021 | 251.28 Mn |
Marten Transport Revenue 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=revenue&ticker=MRTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();