Marten Transport (MRTN) Operating Expenses (2010 - 2026)
Marten Transport's Operating Expenses came in at $216.63 million for Q2 2026, down 1.6% from $220.19 million a year earlier but up 7.3% from the prior quarter.
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Analysis
Marten Transport (MRTN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Marten Transport reported Operating Expenses of $841.82 million, down 5.9% year-over-year; for FY2025, it was $860.74 million, down 7.5% from FY2024.
- Operating Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $930.49 million in FY2024 (-10.6%), $1.04 billion in FY2023 (-7.1%), $1.12 billion in FY2022 (+30.0%) and $861.96 million in FY2021 (+10.3%).
- The five-year range for quarterly Operating Expenses is $201.93 million (Q1 2026) to $290.68 million (Q3 2022).
- Year-over-year, Operating Expenses has declined for 13 consecutive quarters, with an average decline of 7.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 41.5%), and the weakest in Q4 2023 (a decline of 12.8%).
- Business Quant data shows MRTN's Operating Expenses at $201.93 million (Q1 2026), $205.53 million (Q4 2025) and $217.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.85 Bn | 166.38 Bn | - | 4.10 Bn |
| 2 | Csx | 89.27 Bn | 85.48 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 83.88 Bn | 60.78 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.78 Bn | 76.80 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.39 Bn | 68.03 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.14 Bn | 36.09 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 49.18 Bn | 31.37 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.15 Bn | 38.41 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.29 Bn | -25.08 Bn | - | 16.58 Bn |
| 10 | Marten Transport | 1.02 Bn | 757.10 Mn | - | 216.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 216.63 Mn |
| Mar 31, 2026 | 201.93 Mn |
| Dec 31, 2025 | 205.53 Mn |
| Sep 30, 2025 | 217.73 Mn |
| Jun 30, 2025 | 220.19 Mn |
| Mar 31, 2025 | 217.29 Mn |
| Dec 31, 2024 | 223.71 Mn |
| Sep 30, 2024 | 233.10 Mn |
| Jun 30, 2024 | 236.26 Mn |
| Mar 31, 2024 | 237.42 Mn |
| Dec 31, 2023 | 252.57 Mn |
| Sep 30, 2023 | 262.31 Mn |
| Jun 30, 2023 | 257.46 Mn |
| Mar 31, 2023 | 269.01 Mn |
| Dec 31, 2022 | 289.80 Mn |
| Sep 30, 2022 | 290.68 Mn |
| Jun 30, 2022 | 288.63 Mn |
| Mar 31, 2022 | 251.42 Mn |
| Dec 31, 2021 | 236.20 Mn |
| Sep 30, 2021 | 222.78 Mn |
API Access
Marten Transport Operating Expenses 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-expenses&ticker=MRTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();