FTC Solar (FTCI) Shares Outstanding (2020 - 2026)
FTC Solar's Weighted Average Shares Outstanding was 17.08 million in Q3 2026, up 14.7% from 14.9 million a year earlier and up 6.5% from the prior quarter.
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Analysis
FTC Solar (FTCI) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at FTC Solar came in at 14.01 million, up 10.5% from FY2024.
- Weighted Average Shares Outstanding has now increased for six consecutive years, with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 12.68 million in FY2024 (+9.7%), 11.55 million in FY2023 (+13.9%), 10.14 million in FY2022 (+17.9%) and 8.6 million in FY2021 (+25.0%).
- The Q3 2026 figure marks the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2020.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 22 straight quarters, with growth averaging 12.7% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 2.6% (Q1 2025) and 48.4% (Q1 2022) over the last five years.
- Per Business Quant data, FTCI's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 16.05 million (Q2 2026), 15.57 million (Q1 2026) and 14.01 million (Q4 2025).
Peer Set
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 | FTC Solar | 19.06 Mn | -35.44 Mn | 1.90 Mn | 17.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.08 Mn |
| Jun 30, 2026 | 16.05 Mn |
| Mar 31, 2026 | 15.57 Mn |
| Dec 31, 2025 | 14.01 Mn |
| Sep 30, 2025 | 14.90 Mn |
| Jun 30, 2025 | 13.10 Mn |
| Mar 31, 2025 | 12.89 Mn |
| Dec 31, 2024 | 12.68 Mn |
| Sep 30, 2024 | 12.74 Mn |
| Jun 30, 2024 | 12.62 Mn |
| Mar 31, 2024 | 12.56 Mn |
| Dec 31, 2023 | 11.55 Mn |
| Sep 30, 2023 | 11.98 Mn |
| Jun 30, 2023 | 11.27 Mn |
| Mar 31, 2023 | 10.68 Mn |
| Dec 31, 2022 | 10.14 Mn |
| Sep 30, 2022 | 10.22 Mn |
| Jun 30, 2022 | 10.03 Mn |
| Mar 31, 2022 | 9.92 Mn |
| Dec 31, 2021 | 8.60 Mn |
API Access
FTC Solar 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=FTCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "FTCI", "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=FTCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();