Marten Transport (MRTN) Shares Outstanding (2010 - 2026)
Marten Transport (MRTN) posted Shares Outstanding of 81.63 million for Q2 2026, up 0.1% from 81.51 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Marten Transport (MRTN) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Marten Transport's Shares Outstanding came in at 81.51 million, up 0.1% from FY2024.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In prior years, Marten Transport's Shares Outstanding was 81.41 million in FY2024 (+0.2%), 81.27 million in FY2023 (-0.5%), 81.69 million in FY2022 (-1.4%) and 82.87 million in FY2021 (+0.4%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding since Q4 2022.
- On a year-over-year basis, Shares Outstanding has increased in each of the last ten quarters, with growth averaging 0.1% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q4 2021, with growth of 0.4%; the weakest was Q3 2022, with a decline of 2.2%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 81.58 million (Q1 2026), 81.51 million (Q4 2025) and 81.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.90 Bn | 165.43 Bn | - | 593.40 Mn |
| 2 | Csx | 89.33 Bn | 85.54 Bn | - | 1.86 Bn |
| 3 | United Parcel Service | 83.85 Bn | 60.74 Bn | - | 851.00 Mn |
| 4 | Canadian Pacific Kansas City | 77.32 Bn | 76.34 Bn | - | 886.40 Mn |
| 5 | Norfolk Southern | 73.29 Bn | 67.94 Bn | - | 224.60 Mn |
| 6 | Fedex | 71.07 Bn | 37.01 Bn | - | 237.00 Mn |
| 7 | Delta Air Lines | 50.28 Bn | 32.47 Bn | - | 655.00 Mn |
| 8 | Old Dominion Freight Line | 39.17 Bn | 38.44 Bn | - | 207.66 Mn |
| 9 | United Airlines Holdings | 31.81 Bn | -24.57 Bn | - | 324.60 Mn |
| 10 | Marten Transport | 1.03 Bn | 759.96 Mn | - | 81.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.63 Mn |
| Mar 31, 2026 | 81.58 Mn |
| Dec 31, 2025 | 81.51 Mn |
| Sep 30, 2025 | 81.52 Mn |
| Jun 30, 2025 | 81.51 Mn |
| Mar 31, 2025 | 81.49 Mn |
| Dec 31, 2024 | 81.41 Mn |
| Sep 30, 2024 | 81.44 Mn |
| Jun 30, 2024 | 81.38 Mn |
| Mar 31, 2024 | 81.35 Mn |
| Dec 31, 2023 | 81.27 Mn |
| Sep 30, 2023 | 81.31 Mn |
| Jun 30, 2023 | 81.26 Mn |
| Mar 31, 2023 | 81.21 Mn |
| Dec 31, 2022 | 81.69 Mn |
| Sep 30, 2022 | 81.06 Mn |
| Jun 30, 2022 | 81.69 Mn |
| Mar 31, 2022 | 82.94 Mn |
| Dec 31, 2021 | 82.87 Mn |
| Sep 30, 2021 | 82.91 Mn |
API Access
Marten Transport Shares Outstanding 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=shares-outstanding&ticker=MRTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();