Old Dominion Freight Line (ODFL) Shares Outstanding (2009 - 2026)
Old Dominion Freight Line's Shares Outstanding was 207.66 million in Q2 2026, down 1.6% from 211.08 million a year earlier and down 0.3% from the prior quarter.
Old Dominion Freight Line (ODFL) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Old Dominion Freight Line came in at 210.54 million, down 2.2% from FY2024.
- Shares Outstanding has now declined for 11 consecutive years, with a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 215.33 million in FY2024 (-1.6%), 218.84 million in FY2023 (-2.6%), 224.68 million in FY2022 (-2.9%) and 231.3 million in FY2021 (-1.8%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding in data going back to Q2 2009.
- Compared with a year earlier, Shares Outstanding has declined for 46 straight quarters, with an average decline of 2.0% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding ran from 1.1% in Q1 2024 to 3.9% in Q1 2023.
- Per Business Quant data, ODFL's Shares Outstanding in the three quarters before Q2 2026 was 208.28 million (Q1 2026), 210.54 million (Q4 2025) and 209.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 593.40 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.86 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 886.40 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 851.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 224.60 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 237.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 654.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 207.66 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 527.75 Mn |
| 10 | Copart | 25.27 Bn | 9.69 Bn | 645.66 Mn | 949.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 207.66 Mn |
| Mar 31, 2026 | 208.28 Mn |
| Dec 31, 2025 | 210.54 Mn |
| Sep 30, 2025 | 209.85 Mn |
| Jun 30, 2025 | 211.08 Mn |
| Mar 31, 2025 | 212.40 Mn |
| Dec 31, 2024 | 215.33 Mn |
| Sep 30, 2024 | 214.09 Mn |
| Jun 30, 2024 | 216.37 Mn |
| Mar 31, 2024 | 217.59 Mn |
| Dec 31, 2023 | 218.84 Mn |
| Sep 30, 2023 | 218.39 Mn |
| Jun 30, 2023 | 219.04 Mn |
| Mar 31, 2023 | 219.91 Mn |
| Dec 31, 2022 | 224.68 Mn |
| Sep 30, 2022 | 223.14 Mn |
| Jun 30, 2022 | 226.16 Mn |
| Mar 31, 2022 | 228.84 Mn |
| Dec 31, 2021 | 231.30 Mn |
| Sep 30, 2021 | 230.82 Mn |
Old Dominion Freight Line 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=ODFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ODFL", "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=ODFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();