ESS Tech (GWHT) Shares Outstanding (Diluted) (2020 - 2026)
ESS Tech (GWHT) recorded Weighted Average Shares Outstanding (Diluted) of 33.82 million in Q2 2026, up 175.6% from 12.27 million a year earlier and up 15.5% from the prior quarter.
ESS Tech (GWHT) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, ESS Tech reported Weighted Average Shares Outstanding (Diluted) of 14.6 million, up 24.0% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for five straight years, with a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 11.77 million in FY2024 (+10.4%), 10.66 million in FY2023 (+4.8%), 10.18 million in FY2022 (+83.4%) and 5.55 million in FY2021 (+41.4%).
- The Q2 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2020.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for 19 consecutive quarters, with growth averaging 49.3% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 1.4% (Q2 2023) and 175.6% (Q2 2026) over the last five years.
- Per Business Quant, the preceding three quarters came in at 29.29 million (Q1 2026), 14.6 million (Q4 2025) and 14.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 268.00 Mn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 324.29 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 107.70 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 153.91 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 91.99 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 59.56 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 | 37.30 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 272.89 Mn |
| 10 | ESS Tech | 2.30 Mn | -55.62 Mn | -7.42 Mn | 33.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.82 Mn |
| Mar 31, 2026 | 29.29 Mn |
| Dec 31, 2025 | 14.60 Mn |
| Sep 30, 2025 | 14.15 Mn |
| Jun 30, 2025 | 12.27 Mn |
| Mar 31, 2025 | 12.03 Mn |
| Dec 31, 2024 | 11.77 Mn |
| Sep 30, 2024 | 11.81 Mn |
| Jun 30, 2024 | 175.76 Mn |
| Mar 31, 2024 | 174.51 Mn |
| Dec 31, 2023 | 159.96 Mn |
| Sep 30, 2023 | 157.08 Mn |
| Jun 30, 2023 | 154.90 Mn |
| Mar 31, 2023 | 154.12 Mn |
| Dec 31, 2022 | 152.68 Mn |
| Sep 30, 2022 | 152.86 Mn |
| Jun 30, 2022 | 152.72 Mn |
| Mar 31, 2022 | 151.68 Mn |
| Dec 31, 2021 | 83.26 Mn |
| Sep 30, 2021 | 67.67 Mn |
ESS Tech 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=GWHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GWHT", "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=GWHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();