Marten Transport (MRTN) Non-Current Assets (2010 - 2026)
Marten Transport (MRTN) posted Non-Current Assets of $717.55 million for Q2 2026, down 14.2% from $836 million a year earlier and down 4.5% from the prior quarter.
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Analysis
Marten Transport (MRTN) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Marten Transport's Non-Current Assets came in at $778.07 million, down 6.3% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In prior years, Marten Transport's Non-Current Assets was $830.25 million in FY2024 (+4.6%), $793.76 million in FY2023 (+8.8%), $729.84 million in FY2022 (+6.7%) and $683.74 million in FY2021 (+4.2%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q3 2022.
- On a year-over-year basis, Non-Current Assets has declined in each of the last four quarters, with an average decline of 1.2% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2023, with growth of 13.0%; the weakest was Q2 2026, with a decline of 14.2%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $751.62 million (Q1 2026), $778.07 million (Q4 2025) and $799.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.56 Bn | 166.09 Bn | - | 65.68 Bn |
| 2 | Csx | 89.83 Bn | 86.04 Bn | - | 41.32 Bn |
| 3 | United Parcel Service | 84.85 Bn | 61.75 Bn | - | 53.72 Bn |
| 4 | Canadian Pacific Kansas City | 77.87 Bn | 76.89 Bn | - | 60.40 Bn |
| 5 | Norfolk Southern | 73.38 Bn | 68.02 Bn | - | 42.32 Bn |
| 6 | Fedex | 71.89 Bn | 37.83 Bn | - | 71.03 Bn |
| 7 | Delta Air Lines | 51.34 Bn | 33.52 Bn | - | 72.56 Bn |
| 8 | Old Dominion Freight Line | 39.46 Bn | 38.72 Bn | - | 4.73 Bn |
| 9 | United Airlines Holdings | 32.78 Bn | -23.59 Bn | - | 62.91 Bn |
| 10 | Marten Transport | 1.04 Bn | 776.69 Mn | - | 717.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 717.55 Mn |
| Mar 31, 2026 | 751.62 Mn |
| Dec 31, 2025 | 778.07 Mn |
| Sep 30, 2025 | 799.66 Mn |
| Jun 30, 2025 | 836.00 Mn |
| Mar 31, 2025 | 820.83 Mn |
| Dec 31, 2024 | 830.25 Mn |
| Sep 30, 2024 | 829.73 Mn |
| Jun 30, 2024 | 790.32 Mn |
| Mar 31, 2024 | 779.00 Mn |
| Dec 31, 2023 | 793.76 Mn |
| Sep 30, 2023 | 772.62 Mn |
| Jun 30, 2023 | 772.13 Mn |
| Mar 31, 2023 | 735.36 Mn |
| Dec 31, 2022 | 729.84 Mn |
| Sep 30, 2022 | 713.39 Mn |
| Jun 30, 2022 | 683.24 Mn |
| Mar 31, 2022 | 665.36 Mn |
| Dec 31, 2021 | 683.74 Mn |
| Sep 30, 2021 | 691.44 Mn |
API Access
Marten Transport Non-Current Assets 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=non-current-assets&ticker=MRTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();