Marten Transport (MRTN) EBITDA (2010 - 2026)
Marten Transport (MRTN) posted EBITDA of $31.68 million for Q2 2026, down 14.5% from $37.04 million a year earlier but up 19.1% from the prior quarter.
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Analysis
Marten Transport (MRTN) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Marten Transport was $116.21 million, down 14.7% year-over-year; for FY2025, it came in at $128.31 million, down 11.4% from FY2024.
- Annual EBITDA has declined for three consecutive years, with a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- In prior years, Marten Transport's EBITDA was $144.87 million in FY2024 (-30.0%), $206.91 million in FY2023 (-18.6%), $254.34 million in FY2022 (+18.7%) and $214.29 million in FY2021 (+9.2%).
- Quarterly EBITDA has run from a low of $26.6 million in Q1 2026 to a high of $67.89 million in Q2 2022 over five years.
- On a year-over-year basis, EBITDA has declined in each of the last 14 quarters, with an average decline of 19.7% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 25.7%; the weakest was Q1 2025, with a decline of 41.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $26.6 million (Q1 2026), $29.75 million (Q4 2025) and $28.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.40 Bn | 165.93 Bn | - | 3.40 Bn |
| 2 | Csx | 89.91 Bn | 86.12 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 85.26 Bn | 62.15 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 78.31 Bn | 77.33 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.45 Bn | 68.10 Bn | - | 1.48 Bn |
| 6 | Fedex | 70.94 Bn | 36.88 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 51.75 Bn | 33.94 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.30 Bn | 38.56 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 33.94 Bn | -22.44 Bn | - | 1.86 Bn |
| 10 | Marten Transport | 1.03 Bn | 763.22 Mn | - | 31.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.68 Mn |
| Mar 31, 2026 | 26.60 Mn |
| Dec 31, 2025 | 29.75 Mn |
| Sep 30, 2025 | 28.19 Mn |
| Jun 30, 2025 | 37.04 Mn |
| Mar 31, 2025 | 33.33 Mn |
| Dec 31, 2024 | 34.26 Mn |
| Sep 30, 2024 | 31.60 Mn |
| Jun 30, 2024 | 38.18 Mn |
| Mar 31, 2024 | 56.87 Mn |
| Dec 31, 2023 | 44.46 Mn |
| Sep 30, 2023 | 46.19 Mn |
| Jun 30, 2023 | 57.67 Mn |
| Mar 31, 2023 | 58.46 Mn |
| Dec 31, 2022 | 62.38 Mn |
| Sep 30, 2022 | 62.15 Mn |
| Jun 30, 2022 | 67.89 Mn |
| Mar 31, 2022 | 62.00 Mn |
| Dec 31, 2021 | 56.74 Mn |
| Sep 30, 2021 | 53.86 Mn |
API Access
Marten Transport EBITDA 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=ebitda&ticker=MRTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();