Marten Transport (MRTN) Operating Income (2010 - 2026)
Marten Transport (MRTN) reported Operating Income of $6.92 million for Q2 2026, down 29.0% from $9.73 million a year earlier but up 334.4% from the prior quarter.
Marten Transport (MRTN) Operating Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Marten Transport's Operating Income came in at $15.83 million, down 40.5% year-over-year; for FY2025, it was $22.91 million, down 31.0% from FY2024.
- Operating Income has declined for three consecutive years, with a five-year compound annual growth rate of -24.5% (FY2020 to FY2025).
- By year, Operating Income came in at $33.22 million in FY2024 (-63.1%), $90.11 million in FY2023 (-37.1%), $143.34 million in FY2022 (+28.3%) and $111.69 million in FY2021 (+19.8%).
- Five-year quarterly Operating Income spans a low of $1.59 million in Q1 2026 and a high of $40.94 million in Q2 2022.
- Year over year, Operating Income has now declined in each of the last 14 quarters, with an average decline of 44.5% over the last eight quarters.
- The high point for year-over-year Operating Income in five years was Q1 2022 (growth of 49.4%); the low point was Q3 2024 (a decline of 75.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.59 million (Q1 2026), $4.58 million (Q4 2025) and $2.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.68 Bn | 165.21 Bn | - | 2.76 Bn |
| 2 | Csx | 89.35 Bn | 85.55 Bn | - | 1.51 Bn |
| 3 | United Parcel Service | 84.30 Bn | 61.20 Bn | - | 930.00 Mn |
| 4 | Canadian Pacific Kansas City | 77.55 Bn | 76.57 Bn | - | 1.06 Bn |
| 5 | Norfolk Southern | 73.08 Bn | 67.72 Bn | - | 1.12 Bn |
| 6 | Fedex | 71.32 Bn | 37.26 Bn | - | 1.55 Bn |
| 7 | Delta Air Lines | 50.26 Bn | 32.45 Bn | - | 1.45 Bn |
| 8 | Old Dominion Freight Line | 39.26 Bn | 38.52 Bn | - | 465.30 Mn |
| 9 | United Airlines Holdings | 31.96 Bn | -24.41 Bn | - | 1.10 Bn |
| 10 | Marten Transport | 1.04 Bn | 773.42 Mn | - | 6.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.92 Mn |
| Mar 31, 2026 | 1.59 Mn |
| Dec 31, 2025 | 4.58 Mn |
| Sep 30, 2025 | 2.74 Mn |
| Jun 30, 2025 | 9.73 Mn |
| Mar 31, 2025 | 5.86 Mn |
| Dec 31, 2024 | 6.73 Mn |
| Sep 30, 2024 | 4.27 Mn |
| Jun 30, 2024 | 9.97 Mn |
| Mar 31, 2024 | 12.25 Mn |
| Dec 31, 2023 | 15.66 Mn |
| Sep 30, 2023 | 17.23 Mn |
| Jun 30, 2023 | 28.21 Mn |
| Mar 31, 2023 | 29.01 Mn |
| Dec 31, 2022 | 32.78 Mn |
| Sep 30, 2022 | 33.77 Mn |
| Jun 30, 2022 | 40.94 Mn |
| Mar 31, 2022 | 35.86 Mn |
| Dec 31, 2021 | 30.68 Mn |
| Sep 30, 2021 | 28.50 Mn |
Marten Transport Operating Income 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=operating-income&ticker=MRTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();