BlueLinx Holdings (BXC) Shares Outstanding (Diluted) (2012 - 2026)
BlueLinx Holdings (BXC) posted Weighted Average Shares Outstanding (Diluted) of 7.94 million for Q3 2027, down 0.1% from 7.95 million a year earlier but up 1.0% from the prior quarter.
BlueLinx Holdings (BXC) Shares Outstanding (Diluted) (2012 - 2026) Analysis & Trends
For FY2026, BlueLinx Holdings' Weighted Average Shares Outstanding (Diluted) came in at 8.04 million.
- Annual Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -4.0% (FY2021 to FY2026).
- In prior years, BlueLinx Holdings' Weighted Average Shares Outstanding (Diluted) was 8.57 million in FY2024 (-4.7%), 8.99 million in FY2023 (-4.3%) and 9.4 million in FY2022 (-4.8%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 7.86 million in Q2 2027 to a high of 8.33 million in Q1 2026 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined in each of the last three quarters.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 7.86 million (Q2 2027), 7.94 million (Q1 2027) and 8.04 million (Q4 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 62.26 Mn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 47.10 Mn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 1.15 Bn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 194.80 Mn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 411.31 Mn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 51.39 Mn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 49.30 Mn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 38.19 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 37.18 Mn |
| 10 | BlueLinx Holdings | 513.86 Mn | -859.06 Mn | 130.96 Mn | 7.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 7.94 Mn |
| Jul 4, 2026 | 7.86 Mn |
| Apr 4, 2026 | 7.94 Mn |
| Jan 3, 2026 | 8.04 Mn |
| Sep 27, 2025 | 7.95 Mn |
| Jun 28, 2025 | 7.98 Mn |
| Mar 29, 2025 | 8.33 Mn |
| Dec 28, 2024 | 8.57 Mn |
| Sep 28, 2024 | 8.53 Mn |
| Jun 29, 2024 | 8.69 Mn |
| Mar 30, 2024 | 8.74 Mn |
| Dec 30, 2023 | 8.99 Mn |
| Sep 30, 2023 | 8.97 Mn |
| Jul 1, 2023 | 9.06 Mn |
| Apr 1, 2023 | 9.16 Mn |
| Dec 31, 2022 | 9.40 Mn |
| Oct 1, 2022 | 9.33 Mn |
| Jul 2, 2022 | 9.52 Mn |
| Apr 2, 2022 | 10.11 Mn |
| Jan 1, 2022 | 9.88 Mn |
BlueLinx Holdings 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=BXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BXC", "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=BXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();