Hillman Solutions (HLMN) Shares Outstanding (2020 - 2026)
Hillman Solutions' Weighted Average Shares Outstanding was 194.83 million in Q3 2026, down 1.5% from 197.75 million a year earlier and down 0.5% from the prior quarter.
Hillman Solutions (HLMN) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Hillman Solutions came in at 197.45 million, up 0.7% from FY2024.
- Weighted Average Shares Outstanding has now increased for six consecutive years, with a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 196.11 million in FY2024 (+0.7%), 194.72 million in FY2023 (+0.2%), 194.25 million in FY2022 (+44.2%) and 134.7 million in FY2021 (+49.8%).
- The Q3 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding since Q4 2023.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for three straight quarters, with growth averaging 0.2% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q1 2022 (growth of 112.8%); the worst was Q3 2026 (a decline of 1.5%).
- Per Business Quant data, HLMN's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 195.88 million (Q2 2026), 196.63 million (Q1 2026) and 197.45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 67.67 Bn | 65.03 Bn | 2.01 Bn | 47.00 Mn |
| 2 | United Rentals | 65.48 Bn | 64.60 Bn | 2.05 Bn | 62.16 Mn |
| 3 | Fastenal | 60.80 Bn | 59.80 Bn | 1.10 Bn | 1.15 Bn |
| 4 | Ferguson Enterprises | 45.51 Bn | 42.73 Bn | 2.32 Bn | 194.60 Mn |
| 5 | Sunbelt Rentals Holdings | 31.50 Bn | 31.38 Bn | 1.25 Bn | 409.98 Mn |
| 6 | Reliance | 21.26 Bn | 20.31 Bn | 1.45 Bn | 51.02 Mn |
| 7 | Wesco International | 14.25 Bn | 11.29 Bn | 1.57 Bn | 48.70 Mn |
| 8 | Watsco | 11.59 Bn | 9.28 Bn | 578.93 Mn | 38.16 Mn |
| 9 | Avantor | 10.49 Bn | 9.07 Bn | 534.80 Mn | 677.10 Mn |
| 10 | Hillman Solutions | 1.62 Bn | 1.50 Bn | 232.29 Mn | 194.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 194.83 Mn |
| Jun 27, 2026 | 195.88 Mn |
| Mar 28, 2026 | 196.63 Mn |
| Dec 27, 2025 | 197.45 Mn |
| Sep 27, 2025 | 197.75 Mn |
| Jun 28, 2025 | 197.59 Mn |
| Mar 29, 2025 | 197.28 Mn |
| Dec 28, 2024 | 196.11 Mn |
| Sep 28, 2024 | 196.30 Mn |
| Jun 29, 2024 | 196.08 Mn |
| Mar 30, 2024 | 195.37 Mn |
| Dec 30, 2023 | 194.72 Mn |
| Sep 30, 2023 | 194.79 Mn |
| Jul 1, 2023 | 194.64 Mn |
| Apr 1, 2023 | 194.55 Mn |
| Dec 31, 2022 | 194.25 Mn |
| Sep 24, 2022 | 194.37 Mn |
| Jun 25, 2022 | 194.14 Mn |
| Mar 26, 2022 | 194.01 Mn |
| Dec 25, 2021 | 134.70 Mn |
Hillman Solutions Shares Outstanding 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&ticker=HLMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "HLMN", "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&ticker=HLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();