Fastenal (FAST) Shares Outstanding (Diluted) (2009 - 2026)
Fastenal's Weighted Average Shares Outstanding (Diluted) was 1.15 billion in Q3 2026, down 0.1% from 1.15 billion a year earlier and unchanged from the prior quarter.
Fastenal (FAST) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
From Q1 2009 onward, Fastenal has reported Weighted Average Shares Outstanding (Diluted) for 71 quarters.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 1.15 billion in FY2024 (+0.2%), 1.15 billion in FY2023 (-0.5%), 1.15 billion in FY2022 (-0.3%) and 1.15 billion in FY2021 (+0.2%).
- The Q3 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q2 2025.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) was higher in six of the last eight quarters, with growth averaging 0.1%.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q1 2024 (growth of 0.3%); the worst was Q1 2023 (a decline of 0.9%).
- Per Business Quant data, FAST's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 1.15 billion (Q2 2026), 1.15 billion (Q1 2026) and 1.15 billion (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 | 1.15 Bn |
| Jun 30, 2026 | 1.15 Bn |
| Mar 31, 2026 | 1.15 Bn |
| Dec 31, 2025 | 1.15 Bn |
| Sep 30, 2025 | 1.15 Bn |
| Jun 30, 2025 | 1.15 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.15 Bn |
| Sep 30, 2024 | 1.15 Bn |
| Jun 30, 2024 | 1.15 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 31, 2023 | 1.15 Bn |
| Sep 30, 2023 | 1.15 Bn |
| Jun 30, 2023 | 1.15 Bn |
| Mar 31, 2023 | 1.15 Bn |
| Dec 31, 2022 | 1.15 Bn |
| Sep 30, 2022 | 1.15 Bn |
| Jun 30, 2022 | 1.15 Bn |
| Mar 31, 2022 | 1.16 Bn |
| Dec 31, 2021 | 1.15 Bn |
Fastenal 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=FAST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "FAST", "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=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();