Wabash National (WNC) Shares Outstanding (Diluted) (2010 - 2026)
Wabash National (WNC) reported Shares Outstanding (Diluted) of 40.92 million for Q2 2026, down 2.0% from 41.75 million a year earlier but up 0.4% from the prior quarter.
Wabash National (WNC) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Wabash National posted Shares Outstanding (Diluted) of 41.75 million, down 5.9% from FY2024.
- Shares Outstanding (Diluted) has declined for 11 consecutive years, with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 44.36 million in FY2024 (-7.6%), 48.03 million in FY2023 (-3.7%), 49.88 million in FY2022 (-3.3%) and 51.61 million in FY2021 (-2.5%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 40.74 million in Q1 2026 and a high of 51.61 million in Q4 2021.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last 45 quarters, with an average decline of 6.3% over the last eight quarters.
- The year-over-year decline in Shares Outstanding (Diluted) has ranged between 1.2% (Q1 2023) and 8.2% (Q3 2024) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 40.74 million (Q1 2026), 41.75 million (Q4 2025) and 41.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 392.75 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 561.10 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 522.40 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Wabash National | 501.47 Mn | 264.35 Mn | 15.33 Mn | 40.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.92 Mn |
| Mar 31, 2026 | 40.74 Mn |
| Dec 31, 2025 | 41.75 Mn |
| Sep 30, 2025 | 41.17 Mn |
| Jun 30, 2025 | 41.75 Mn |
| Mar 31, 2025 | 43.09 Mn |
| Dec 31, 2024 | 44.36 Mn |
| Sep 30, 2024 | 43.83 Mn |
| Jun 30, 2024 | 45.37 Mn |
| Mar 31, 2024 | 46.25 Mn |
| Dec 31, 2023 | 48.03 Mn |
| Sep 30, 2023 | 47.76 Mn |
| Jun 30, 2023 | 48.37 Mn |
| Mar 31, 2023 | 49.14 Mn |
| Dec 31, 2022 | 49.88 Mn |
| Sep 30, 2022 | 49.40 Mn |
| Jun 30, 2022 | 49.54 Mn |
| Mar 31, 2022 | 49.73 Mn |
| Dec 31, 2021 | 51.61 Mn |
| Sep 30, 2021 | 50.58 Mn |
Wabash National 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=WNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "WNC", "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=WNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();