Shoals Technologies (SHLS) Shares Outstanding (2019 - 2026)
Shoals Technologies' Weighted Average Shares Outstanding was 168.38 million in Q3 2026, up 0.6% from 167.37 million a year earlier and up 0.2% from the prior quarter.
Shoals Technologies (SHLS) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Shoals Technologies came in at 167.26 million, down 0.8% from FY2024.
- Weighted Average Shares Outstanding shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 168.57 million in FY2024 (+2.7%), 164.17 million in FY2023 (+43.4%), 114.5 million in FY2022 (+15.3%) and 99.27 million in FY2021 (-38.1%).
- The Q3 2026 figure marks the highest quarterly Weighted Average Shares Outstanding since Q4 2024.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for three straight quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q2 2023 (growth of 51.0%); the worst was Q4 2021 (a decline of 38.1%).
- Per Business Quant data, SHLS's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 168.06 million (Q2 2026), 167.56 million (Q1 2026) and 167.26 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 266.00 Mn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 294.76 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 107.47 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 151.50 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 91.73 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 58.85 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 750.00 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 36.26 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 242.39 Mn |
| 10 | Shoals Technologies | 1.40 Bn | 1.36 Bn | 62.40 Mn | 168.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 168.38 Mn |
| Jun 30, 2026 | 168.06 Mn |
| Mar 31, 2026 | 167.56 Mn |
| Dec 31, 2025 | 167.26 Mn |
| Sep 30, 2025 | 167.37 Mn |
| Jun 30, 2025 | 167.29 Mn |
| Mar 31, 2025 | 166.96 Mn |
| Dec 31, 2024 | 168.57 Mn |
| Sep 30, 2024 | 167.32 Mn |
| Jun 30, 2024 | 169.99 Mn |
| Mar 31, 2024 | 170.28 Mn |
| Dec 31, 2023 | 164.17 Mn |
| Sep 30, 2023 | 169.97 Mn |
| Jun 30, 2023 | 169.89 Mn |
| Mar 31, 2023 | 146.41 Mn |
| Dec 31, 2022 | 114.50 Mn |
| Sep 30, 2022 | 112.98 Mn |
| Jun 30, 2022 | 112.49 Mn |
| Mar 31, 2022 | 112.21 Mn |
| Dec 31, 2021 | 99.27 Mn |
Shoals Technologies 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=SHLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SHLS", "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=SHLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();