H2O America (HTO) Shares Outstanding (Diluted) (2010 - 2026)
H2O America's Shares Outstanding (Diluted) was 42.87 million in Q2 2026, up 23.0% from 34.86 million a year earlier and up 11.2% from the prior quarter.
H2O America (HTO) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at H2O America came in at 35.1 million, up 7.1% from FY2024.
- Shares Outstanding (Diluted) has now increased for 16 consecutive years, with a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 32.78 million in FY2024 (+3.5%), 31.66 million in FY2023 (+4.1%), 30.42 million in FY2022 (+2.3%) and 29.74 million in FY2021 (+3.6%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 61 straight quarters, with growth averaging 8.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 1.4% (Q2 2022) to 23.0% (Q2 2026).
- Per Business Quant data, HTO's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 38.55 million (Q1 2026), 35.1 million (Q4 2025) and 35.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 69.17 Bn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 2.09 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 1.14 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 779.00 Mn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | 994.20 Mn |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 550.63 Mn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 882.10 Mn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 655.95 Mn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 466.31 Mn |
| 10 | H2O America | 2.52 Bn | 2.23 Bn | - | 42.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.87 Mn |
| Mar 31, 2026 | 38.55 Mn |
| Dec 31, 2025 | 35.10 Mn |
| Sep 30, 2025 | 35.64 Mn |
| Jun 30, 2025 | 34.86 Mn |
| Mar 31, 2025 | 33.87 Mn |
| Dec 31, 2024 | 32.78 Mn |
| Sep 30, 2024 | 32.98 Mn |
| Jun 30, 2024 | 32.46 Mn |
| Mar 31, 2024 | 32.14 Mn |
| Dec 31, 2023 | 31.66 Mn |
| Sep 30, 2023 | 31.93 Mn |
| Jun 30, 2023 | 31.59 Mn |
| Mar 31, 2023 | 31.04 Mn |
| Dec 31, 2022 | 30.42 Mn |
| Sep 30, 2022 | 30.39 Mn |
| Jun 30, 2022 | 30.35 Mn |
| Mar 31, 2022 | 30.34 Mn |
| Dec 31, 2021 | 29.74 Mn |
| Sep 30, 2021 | 29.95 Mn |
H2O America 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=HTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "HTO", "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=HTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();