Wesco International (WCC) Shares Outstanding (Diluted) (2009 - 2026)
Wesco International (WCC) reported Weighted Average Shares Outstanding (Diluted) of 49.3 million for Q3 2026, down 0.4% from 49.5 million a year earlier and down 0.2% from the prior quarter.
Wesco International (WCC) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Wesco International posted Weighted Average Shares Outstanding (Diluted) of 49.5 million, down 2.2% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has declined for three consecutive years, though with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 50.6 million in FY2024 (-3.3%), 52.3 million in FY2023 (-0.2%), 52.4 million in FY2022 (+0.7%) and 52.03 million in FY2021 (+11.6%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2020.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 11.6%); the low point was Q3 2024 (a decline of 4.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 49.4 million (Q2 2026), 49.5 million (Q1 2026) and 49.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 68.95 Bn | 66.71 Bn | 2.01 Bn | 47.10 Mn |
| 2 | United Rentals | 68.54 Bn | 67.66 Bn | 2.05 Bn | 62.26 Mn |
| 3 | Fastenal | 62.92 Bn | 61.91 Bn | 1.10 Bn | 1.15 Bn |
| 4 | Ferguson Enterprises | 50.34 Bn | 47.55 Bn | 2.32 Bn | 194.80 Mn |
| 5 | Sunbelt Rentals Holdings | 33.33 Bn | 33.21 Bn | 1.25 Bn | 411.31 Mn |
| 6 | Reliance | 21.77 Bn | 20.83 Bn | 1.45 Bn | 51.39 Mn |
| 7 | Wesco International | 15.42 Bn | 12.47 Bn | 1.57 Bn | 49.30 Mn |
| 8 | Watsco | 11.20 Bn | 9.27 Bn | 586.29 Mn | 38.56 Mn |
| 9 | Applied Industrial Technologies | 10.92 Bn | 10.80 Bn | 392.21 Mn | 37.18 Mn |
| 10 | Avantor | 10.55 Bn | 9.13 Bn | 534.80 Mn | 680.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 49.30 Mn |
| Jun 30, 2026 | 49.40 Mn |
| Mar 31, 2026 | 49.50 Mn |
| Dec 31, 2025 | 49.50 Mn |
| Sep 30, 2025 | 49.50 Mn |
| Jun 30, 2025 | 49.40 Mn |
| Mar 31, 2025 | 49.60 Mn |
| Dec 31, 2024 | 50.60 Mn |
| Sep 30, 2024 | 49.80 Mn |
| Jun 30, 2024 | 50.90 Mn |
| Mar 31, 2024 | 51.90 Mn |
| Dec 31, 2023 | 52.30 Mn |
| Sep 30, 2023 | 52.20 Mn |
| Jun 30, 2023 | 52.40 Mn |
| Mar 31, 2023 | 52.50 Mn |
| Dec 31, 2022 | 52.40 Mn |
| Sep 30, 2022 | 52.39 Mn |
| Jun 30, 2022 | 52.22 Mn |
| Mar 31, 2022 | 52.24 Mn |
| Dec 31, 2021 | 52.03 Mn |
Wesco International 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=WCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "WCC", "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=WCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();