Marten Transport (MRTN) Cash & Equivalents (2010 - 2026)
Marten Transport (MRTN) reported Cash & Equivalents of $103.98 million for Q2 2026, up 196.6% from $35.05 million a year earlier and up 49.0% from the prior quarter.
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Analysis
Marten Transport (MRTN) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Marten Transport posted Cash & Equivalents of $43.28 million, up 150.6% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $17.27 million in FY2024 (-67.6%), $53.21 million in FY2023 (-34.0%), $80.6 million in FY2022 (+41.4%) and $57 million in FY2021 (-13.8%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- Year over year, Cash & Equivalents has now increased in each of the last four quarters, with growth averaging 29.1% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2026 (growth of 196.6%); the low point was Q4 2024 (a decline of 67.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $69.79 million (Q1 2026), $43.28 million (Q4 2025) and $49.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 1.61 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 1.01 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 4.65 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 257.58 Mn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 1.07 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 3.79 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 10.17 Bn |
| 10 | Marten Transport | 1.02 Bn | 755.06 Mn | - | 103.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.98 Mn |
| Mar 31, 2026 | 69.79 Mn |
| Dec 31, 2025 | 43.28 Mn |
| Sep 30, 2025 | 49.49 Mn |
| Jun 30, 2025 | 35.05 Mn |
| Mar 31, 2025 | 39.91 Mn |
| Dec 31, 2024 | 17.27 Mn |
| Sep 30, 2024 | 42.99 Mn |
| Jun 30, 2024 | 77.20 Mn |
| Mar 31, 2024 | 73.73 Mn |
| Dec 31, 2023 | 53.21 Mn |
| Sep 30, 2023 | 68.07 Mn |
| Jun 30, 2023 | 80.53 Mn |
| Mar 31, 2023 | 96.29 Mn |
| Dec 31, 2022 | 80.60 Mn |
| Sep 30, 2022 | 71.49 Mn |
| Jun 30, 2022 | 68.37 Mn |
| Mar 31, 2022 | 66.53 Mn |
| Dec 31, 2021 | 57.00 Mn |
| Sep 30, 2021 | 83.90 Mn |
API Access
Marten Transport Cash & Equivalents 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=cash-and-equivalents&ticker=MRTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();