Marten Transport (MRTN) Shares Outstanding (Diluted) (2010 - 2026)
Marten Transport (MRTN) recorded Shares Outstanding (Diluted) of 81.63 million in Q2 2026, up 0.1% from 81.52 million a year earlier and up 0.1% from the prior quarter.
Marten Transport (MRTN) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Marten Transport reported Shares Outstanding (Diluted) of 81.52 million, up 0.1% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 81.47 million in FY2024 (+0.1%), 81.41 million in FY2023 (-0.7%), 81.96 million in FY2022 (-1.7%) and 83.41 million in FY2021 (+0.3%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) since Q4 2022.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 0.3% in Q4 2021, against a decline of 2.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 81.58 million (Q1 2026), 81.52 million (Q4 2025) and 81.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 173.80 Bn | 168.33 Bn | - | 594.00 Mn |
| 2 | Csx | 95.21 Bn | 91.42 Bn | - | 1.86 Bn |
| 3 | United Parcel Service | 85.50 Bn | 62.39 Bn | - | 851.00 Mn |
| 4 | Canadian Pacific Kansas City | 79.55 Bn | 78.56 Bn | - | 887.10 Mn |
| 5 | Norfolk Southern | 74.58 Bn | 69.22 Bn | - | 225.00 Mn |
| 6 | Fedex | 71.13 Bn | 37.08 Bn | - | 239.00 Mn |
| 7 | Delta Air Lines | 51.33 Bn | 33.51 Bn | - | 659.00 Mn |
| 8 | Old Dominion Freight Line | 39.64 Bn | 38.90 Bn | - | 208.72 Mn |
| 9 | United Airlines Holdings | 33.04 Bn | -23.33 Bn | - | 326.60 Mn |
| 10 | Marten Transport | 1.05 Bn | 784.85 Mn | - | 81.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.63 Mn |
| Mar 31, 2026 | 81.58 Mn |
| Dec 31, 2025 | 81.52 Mn |
| Sep 30, 2025 | 81.53 Mn |
| Jun 30, 2025 | 81.52 Mn |
| Mar 31, 2025 | 81.51 Mn |
| Dec 31, 2024 | 81.47 Mn |
| Sep 30, 2024 | 81.49 Mn |
| Jun 30, 2024 | 81.45 Mn |
| Mar 31, 2024 | 81.44 Mn |
| Dec 31, 2023 | 81.41 Mn |
| Sep 30, 2023 | 81.45 Mn |
| Jun 30, 2023 | 81.41 Mn |
| Mar 31, 2023 | 81.38 Mn |
| Dec 31, 2022 | 81.96 Mn |
| Sep 30, 2022 | 81.35 Mn |
| Jun 30, 2022 | 82.02 Mn |
| Mar 31, 2022 | 83.25 Mn |
| Dec 31, 2021 | 83.41 Mn |
| Sep 30, 2021 | 83.37 Mn |
Marten Transport Shares Outstanding (Diluted) 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-diluted&ticker=MRTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();