Werner Enterprises (WERN) Shares Outstanding (Diluted) (2009 - 2026)
Werner Enterprises (WERN) reported Shares Outstanding (Diluted) of 60.24 million for Q2 2026, down 1.2% from 61 million a year earlier but up 0.6% from the prior quarter.
Werner Enterprises (WERN) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Werner Enterprises posted Shares Outstanding (Diluted) of 60.61 million, down 3.3% from FY2024.
- 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, 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 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, Shares Outstanding (Diluted) has now declined in each of the last nine quarters, with an average decline of 2.7% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2024 (growth of 0.1%); the low point was Q3 2022 (a decline of 6.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 59.91 million (Q1 2026), 60.61 million (Q4 2025) and 59.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.45 Bn | 165.97 Bn | - | 594.00 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 | - | 887.10 Mn |
| 5 | Norfolk Southern | 73.28 Bn | 67.92 Bn | - | 225.00 Mn |
| 6 | Fedex | 69.58 Bn | 35.52 Bn | - | 239.00 Mn |
| 7 | Delta Air Lines | 49.43 Bn | 31.61 Bn | - | 659.00 Mn |
| 8 | Old Dominion Freight Line | 39.04 Bn | 38.30 Bn | - | 208.72 Mn |
| 9 | United Airlines Holdings | 31.23 Bn | -25.14 Bn | - | 326.60 Mn |
| 10 | Werner Enterprises | 1.97 Bn | 1.74 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();