Marten Transport (MRTN) Current Assets (2010 - 2026)
Marten Transport (MRTN) recorded Current Assets of $237.93 million in Q2 2026, up 52.7% from $155.81 million a year earlier and up 21.6% from the prior quarter.
Marten Transport (MRTN) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Marten Transport reported Current Assets of $171.7 million, up 24.0% from FY2024.
- Annual Current Assets has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Across earlier years, Current Assets came in at $138.51 million in FY2024 (-29.5%), $196.58 million in FY2023 (-16.6%), $235.84 million in FY2022 (+26.2%) and $186.95 million in FY2021 (+6.4%).
- The Q2 2026 figure is the highest quarterly Current Assets since Q1 2023.
- On a year-over-year basis, Current Assets has increased for four consecutive quarters, with an average decline of 0.8% over the last eight quarters.
- Peak year-over-year performance for Current Assets in the last five years was growth of 52.7% in Q2 2026, against a decline of 29.5% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $195.6 million (Q1 2026), $171.7 million (Q4 2025) and $175.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 5.53 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 3.41 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 17.55 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 2.43 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 2.80 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 27.90 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 13.49 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 1.00 Bn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 21.66 Bn |
| 10 | Marten Transport | 1.02 Bn | 755.06 Mn | - | 237.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 237.93 Mn |
| Mar 31, 2026 | 195.60 Mn |
| Dec 31, 2025 | 171.70 Mn |
| Sep 30, 2025 | 175.99 Mn |
| Jun 30, 2025 | 155.81 Mn |
| Mar 31, 2025 | 162.50 Mn |
| Dec 31, 2024 | 138.51 Mn |
| Sep 30, 2024 | 170.28 Mn |
| Jun 30, 2024 | 219.57 Mn |
| Mar 31, 2024 | 214.02 Mn |
| Dec 31, 2023 | 196.58 Mn |
| Sep 30, 2023 | 224.59 Mn |
| Jun 30, 2023 | 231.96 Mn |
| Mar 31, 2023 | 243.91 Mn |
| Dec 31, 2022 | 235.84 Mn |
| Sep 30, 2022 | 225.31 Mn |
| Jun 30, 2022 | 237.88 Mn |
| Mar 31, 2022 | 220.03 Mn |
| Dec 31, 2021 | 186.95 Mn |
| Sep 30, 2021 | 211.94 Mn |
Marten Transport 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=current-assets&ticker=MRTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();