Energy Recovery (ERII) Shares Outstanding (Diluted) (2010 - 2026)
Energy Recovery (ERII) reported Shares Outstanding (Diluted) of 51.46 million for Q2 2026, down 5.5% from 54.49 million a year earlier and down 2.3% from the prior quarter.
Energy Recovery (ERII) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Energy Recovery posted Shares Outstanding (Diluted) of 54.16 million, down 6.3% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 57.82 million in FY2024 (+0.1%), 57.74 million in FY2023 (+0.2%), 57.64 million in FY2022 (-1.8%) and 58.72 million in FY2021 (+3.7%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since Q3 2014.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last six quarters, with an average decline of 4.1% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2021 (growth of 4.0%); the low point was Q3 2025 (a decline of 8.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 52.66 million (Q1 2026), 54.16 million (Q4 2025) and 53.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.01 Bn | 67.78 Bn | 1.95 Bn | 282.20 Mn |
| 2 | Xylem | 23.56 Bn | 19.05 Bn | 963.00 Mn | 236.60 Mn |
| 3 | Veralto | 23.10 Bn | 15.75 Bn | 902.00 Mn | 245.80 Mn |
| 4 | Badger Meter | 3.72 Bn | 2.99 Bn | 90.77 Mn | 29.14 Mn |
| 5 | Ceco Environmental | 3.11 Bn | 2.95 Bn | 86.47 Mn | 43.31 Mn |
| 6 | NWPX Infrastructure | 1.01 Bn | 971.46 Mn | 34.36 Mn | 9.79 Mn |
| 7 | Energy Recovery | 342.87 Mn | 18.03 Mn | 8.96 Mn | 51.46 Mn |
| 8 | Cadiz | 311.40 Mn | 279.84 Mn | -24,000.00 | 34,188.00 |
| 9 | AirJoule Technologies | 290.46 Mn | 170.08 Mn | - | 69.74 Mn |
| 10 | LanzaTech Global | 72.38 Mn | -42.75 Mn | 1.91 Mn | 11.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.46 Mn |
| Mar 31, 2026 | 52.66 Mn |
| Dec 31, 2025 | 54.16 Mn |
| Sep 30, 2025 | 53.47 Mn |
| Jun 30, 2025 | 54.49 Mn |
| Mar 31, 2025 | 54.90 Mn |
| Dec 31, 2024 | 57.82 Mn |
| Sep 30, 2024 | 58.29 Mn |
| Jun 30, 2024 | 57.37 Mn |
| Mar 31, 2024 | 57.10 Mn |
| Dec 31, 2023 | 57.74 Mn |
| Sep 30, 2023 | 57.97 Mn |
| Jun 30, 2023 | 56.36 Mn |
| Mar 31, 2023 | 56.23 Mn |
| Dec 31, 2022 | 57.64 Mn |
| Sep 30, 2022 | 57.37 Mn |
| Jun 30, 2022 | 56.22 Mn |
| Mar 31, 2022 | 58.18 Mn |
| Dec 31, 2021 | 58.72 Mn |
| Sep 30, 2021 | 58.71 Mn |
Energy Recovery 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=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ERII", "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=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();