Marten Transport (MRTN) Shares Outstanding (Entity) (2010 - 2026)
Marten Transport (MRTN) recorded Shares Outstanding (Entity) of 81.66 million in Q2 2026, up 0.2% from 81.52 million a year earlier and up 0.1% from the prior quarter.
Marten Transport (MRTN) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Marten Transport reported Shares Outstanding (Entity) of 81.54 million, up 0.1% from FY2024.
- Annual Shares Outstanding (Entity) has increased for three straight years, though with a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 81.46 million in FY2024 (+0.2%), 81.31 million in FY2023 (+0.2%), 81.12 million in FY2022 (-2.3%) and 83.03 million in FY2021 (+0.4%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Entity) since Q1 2022.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for 13 consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 0.4% in Q4 2021, against a decline of 2.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 81.59 million (Q1 2026), 81.54 million (Q4 2025) and 81.52 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 593.96 Mn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 1.85 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 749.35 Mn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 879.08 Mn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 224.61 Mn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 236.58 Mn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 657.91 Mn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 207.47 Mn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 324.58 Mn |
| 10 | Marten Transport | 1.02 Bn | 755.06 Mn | - | 81.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.66 Mn |
| Mar 31, 2026 | 81.59 Mn |
| Dec 31, 2025 | 81.54 Mn |
| Sep 30, 2025 | 81.52 Mn |
| Jun 30, 2025 | 81.52 Mn |
| Mar 31, 2025 | 81.49 Mn |
| Dec 31, 2024 | 81.46 Mn |
| Sep 30, 2024 | 81.45 Mn |
| Jun 30, 2024 | 81.41 Mn |
| Mar 31, 2024 | 81.36 Mn |
| Dec 31, 2023 | 81.31 Mn |
| Sep 30, 2023 | 81.31 Mn |
| Jun 30, 2023 | 81.30 Mn |
| Mar 31, 2023 | 81.23 Mn |
| Dec 31, 2022 | 81.12 Mn |
| Sep 30, 2022 | 81.10 Mn |
| Jun 30, 2022 | 81.01 Mn |
| Mar 31, 2022 | 81.95 Mn |
| Dec 31, 2021 | 83.03 Mn |
| Sep 30, 2021 | 82.94 Mn |
Marten Transport Shares Outstanding (Entity) 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-entity&ticker=MRTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();