Werner Enterprises (WERN) Shares Outstanding (Entity) (2009 - 2026)
Werner Enterprises (WERN) reported Shares Outstanding (Entity) of 59.98 million for Q2 2026, up 0.2% from 59.83 million a year earlier and unchanged from the prior quarter.
Werner Enterprises (WERN) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Werner Enterprises posted Shares Outstanding (Entity) of 59.87 million, down 3.2% from FY2024.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 61.85 million in FY2024 (-2.5%), 63.44 million in FY2023 (+0.4%), 63.22 million in FY2022 (-3.9%) and 65.79 million in FY2021 (-3.2%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) since Q1 2025.
- Year over year, Shares Outstanding (Entity) gained in 1 of the last eight quarters, with an average decline of 2.5%.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q4 2023 (growth of 0.4%); the low point was Q2 2022 (a decline of 6.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 59.95 million (Q1 2026), 59.87 million (Q4 2025) and 59.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.45 Bn | 165.97 Bn | - | 593.96 Mn |
| 2 | Csx | 90.36 Bn | 86.57 Bn | - | 1.85 Bn |
| 3 | United Parcel Service | 82.96 Bn | 59.85 Bn | - | 749.35 Mn |
| 4 | Canadian Pacific Kansas City | 77.40 Bn | 76.42 Bn | - | 879.08 Mn |
| 5 | Norfolk Southern | 73.28 Bn | 67.92 Bn | - | 224.61 Mn |
| 6 | Fedex | 69.58 Bn | 35.52 Bn | - | 236.58 Mn |
| 7 | Delta Air Lines | 49.43 Bn | 31.61 Bn | - | 657.91 Mn |
| 8 | Old Dominion Freight Line | 39.04 Bn | 38.30 Bn | - | 207.47 Mn |
| 9 | United Airlines Holdings | 31.23 Bn | -25.14 Bn | - | 324.58 Mn |
| 10 | Werner Enterprises | 1.97 Bn | 1.74 Bn | - | 59.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.98 Mn |
| Mar 31, 2026 | 59.95 Mn |
| Dec 31, 2025 | 59.87 Mn |
| Sep 30, 2025 | 59.83 Mn |
| Jun 30, 2025 | 59.83 Mn |
| Mar 31, 2025 | 61.92 Mn |
| Dec 31, 2024 | 61.85 Mn |
| Sep 30, 2024 | 61.81 Mn |
| Jun 30, 2024 | 61.81 Mn |
| Mar 31, 2024 | 63.41 Mn |
| Dec 31, 2023 | 63.44 Mn |
| Sep 30, 2023 | 63.39 Mn |
| Jun 30, 2023 | 63.39 Mn |
| Mar 31, 2023 | 63.38 Mn |
| Dec 31, 2022 | 63.22 Mn |
| Sep 30, 2022 | 63.20 Mn |
| Jun 30, 2022 | 63.42 Mn |
| Mar 31, 2022 | 65.06 Mn |
| Dec 31, 2021 | 65.79 Mn |
| Sep 30, 2021 | 66.88 Mn |
Werner Enterprises 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=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();