Werner Enterprises (WERN) Shares Outstanding (Diluted) (2009 - 2026)
Werner Enterprises (WERN) reported Weighted Average Shares Outstanding (Diluted) of 60.24 million for Q3 2026, up 0.7% from 59.83 million a year earlier and unchanged from the prior quarter.
Werner Enterprises (WERN) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Werner Enterprises posted Weighted Average Shares Outstanding (Diluted) of 60.61 million, down 3.3% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has declined for eight consecutive years, with a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 62.66 million in FY2024 (-1.7%), 63.72 million in FY2023 (-1.3%), 64.58 million in FY2022 (-4.8%) and 67.86 million in FY2021 (-2.3%).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 59.83 million in Q3 2025 and a high of 67.86 million in Q4 2021.
- Year over year, Weighted Average Shares Outstanding (Diluted) gained in 1 of the last eight quarters, with an average decline of 2.3%.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q3 2026 (growth of 0.7%); the low point was Q3 2022 (a decline of 6.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 60.24 million (Q2 2026), 59.91 million (Q1 2026) and 60.61 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 594.50 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 852.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.85 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 887.10 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 239.00 Mn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 225.20 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 659.00 Mn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 327.40 Mn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 208.12 Mn |
| 10 | Werner Enterprises | 1.62 Bn | 1.39 Bn | - | 60.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.24 Mn |
| Mar 31, 2026 | 59.91 Mn |
| Dec 31, 2025 | 60.61 Mn |
| Sep 30, 2025 | 59.83 Mn |
| Jun 30, 2025 | 61.00 Mn |
| Mar 31, 2025 | 61.89 Mn |
| Dec 31, 2024 | 62.66 Mn |
| Sep 30, 2024 | 62.02 Mn |
| Jun 30, 2024 | 62.86 Mn |
| Mar 31, 2024 | 63.73 Mn |
| Dec 31, 2023 | 63.72 Mn |
| Sep 30, 2023 | 63.74 Mn |
| Jun 30, 2023 | 63.69 Mn |
| Mar 31, 2023 | 63.70 Mn |
| Dec 31, 2022 | 64.58 Mn |
| Sep 30, 2022 | 63.78 Mn |
| Jun 30, 2022 | 64.73 Mn |
| Mar 31, 2022 | 65.88 Mn |
| Dec 31, 2021 | 67.86 Mn |
| Sep 30, 2021 | 67.83 Mn |
Werner Enterprises 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=WERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();