Werner Enterprises (WERN) Shares Outstanding (2009 - 2026)
Werner Enterprises' Shares Outstanding was 59.97 million in Q2 2026, down 1.5% from 60.89 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Werner Enterprises (WERN) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Werner Enterprises came in at 60.61 million, down 3.0% from FY2024.
- Shares Outstanding has now declined for eight consecutive years, with a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 62.45 million in FY2024 (-1.5%), 63.37 million in FY2023 (-1.2%), 64.13 million in FY2022 (-4.9%) and 67.43 million in FY2021 (-2.3%).
- Quarterly Shares Outstanding has moved between 59.83 million (Q3 2025) and 67.48 million (Q3 2021) over five years.
- Compared with a year earlier, Shares Outstanding has declined for nine straight quarters, with an average decline of 2.5% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was Q1 2024 (growth of 0.3%); the worst was Q3 2022 (a decline of 6.1%).
- Per Business Quant data, WERN's Shares Outstanding in the three quarters before Q2 2026 was 59.91 million (Q1 2026), 60.61 million (Q4 2025) and 59.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.45 Bn | 165.97 Bn | - | 593.40 Mn |
| 2 | Csx | 90.36 Bn | 86.57 Bn | - | 1.86 Bn |
| 3 | United Parcel Service | 82.96 Bn | 59.85 Bn | - | 851.00 Mn |
| 4 | Canadian Pacific Kansas City | 77.40 Bn | 76.42 Bn | - | 886.40 Mn |
| 5 | Norfolk Southern | 73.28 Bn | 67.92 Bn | - | 224.60 Mn |
| 6 | Fedex | 69.58 Bn | 35.52 Bn | - | 237.00 Mn |
| 7 | Delta Air Lines | 49.43 Bn | 31.61 Bn | - | 655.00 Mn |
| 8 | Old Dominion Freight Line | 39.04 Bn | 38.30 Bn | - | 207.66 Mn |
| 9 | United Airlines Holdings | 31.23 Bn | -25.14 Bn | - | 324.60 Mn |
| 10 | Werner Enterprises | 1.97 Bn | 1.74 Bn | - | 59.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.97 Mn |
| Mar 31, 2026 | 59.91 Mn |
| Dec 31, 2025 | 60.61 Mn |
| Sep 30, 2025 | 59.83 Mn |
| Jun 30, 2025 | 60.89 Mn |
| Mar 31, 2025 | 61.89 Mn |
| Dec 31, 2024 | 62.45 Mn |
| Sep 30, 2024 | 61.81 Mn |
| Jun 30, 2024 | 62.71 Mn |
| Mar 31, 2024 | 63.47 Mn |
| Dec 31, 2023 | 63.37 Mn |
| Sep 30, 2023 | 63.39 Mn |
| Jun 30, 2023 | 63.38 Mn |
| Mar 31, 2023 | 63.31 Mn |
| Dec 31, 2022 | 64.13 Mn |
| Sep 30, 2022 | 63.39 Mn |
| Jun 30, 2022 | 64.39 Mn |
| Mar 31, 2022 | 65.54 Mn |
| Dec 31, 2021 | 67.43 Mn |
| Sep 30, 2021 | 67.48 Mn |
API Access
Werner Enterprises 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=WERN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "WERN", "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=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();