Energy Recovery (ERII) Shares Outstanding (2009 - 2026)
Energy Recovery (ERII) reported Weighted Average Shares Outstanding of 51.03 million for Q3 2026, down 4.0% from 53.16 million a year earlier and down 0.8% from the prior quarter.
Energy Recovery (ERII) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Energy Recovery posted Weighted Average Shares Outstanding of 53.8 million, down 6.0% from FY2024.
- Weighted Average Shares Outstanding has a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 57.21 million in FY2024 (+1.4%), 56.44 million in FY2023 (+0.4%), 56.22 million in FY2022 (-1.4%) and 56.99 million in FY2021 (+2.3%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding since Q2 2013.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last seven quarters, with an average decline of 4.4% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q3 2024 (growth of 2.3%); the low point was Q3 2025 (a decline of 8.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 51.46 million (Q2 2026), 52.66 million (Q1 2026) and 53.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 86.73 Bn | 79.74 Bn | 2.07 Bn | 280.40 Mn |
| 2 | Veralto | 28.77 Bn | 21.41 Bn | 908.00 Mn | 243.80 Mn |
| 3 | Xylem | 21.59 Bn | 17.56 Bn | 907.00 Mn | 232.72 Mn |
| 4 | Badger Meter | 4.42 Bn | 3.83 Bn | 98.85 Mn | 28.75 Mn |
| 5 | Ceco Environmental | 3.20 Bn | 2.99 Bn | 130.10 Mn | 58.55 Mn |
| 6 | NWPX Infrastructure | 866.95 Mn | 825.03 Mn | 38.19 Mn | 9.63 Mn |
| 7 | Energy Recovery | 370.21 Mn | 32.65 Mn | 4.20 Mn | 51.03 Mn |
| 8 | Cadiz | 265.95 Mn | 231.07 Mn | -24,000.00 | 84.15 Mn |
| 9 | AirJoule Technologies | 157.70 Mn | 37.32 Mn | - | 69.74 Mn |
| 10 | LanzaTech Global | 50.39 Mn | -47.24 Mn | 1.91 Mn | 11.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 51.03 Mn |
| Jun 30, 2026 | 51.46 Mn |
| Mar 31, 2026 | 52.66 Mn |
| Dec 31, 2025 | 53.80 Mn |
| Sep 30, 2025 | 53.16 Mn |
| Jun 30, 2025 | 54.26 Mn |
| Mar 31, 2025 | 54.90 Mn |
| Dec 31, 2024 | 57.21 Mn |
| Sep 30, 2024 | 57.76 Mn |
| Jun 30, 2024 | 57.37 Mn |
| Mar 31, 2024 | 57.10 Mn |
| Dec 31, 2023 | 56.44 Mn |
| Sep 30, 2023 | 56.44 Mn |
| Jun 30, 2023 | 56.36 Mn |
| Mar 31, 2023 | 56.23 Mn |
| Dec 31, 2022 | 56.22 Mn |
| Sep 30, 2022 | 55.88 Mn |
| Jun 30, 2022 | 56.22 Mn |
| Mar 31, 2022 | 56.78 Mn |
| Dec 31, 2021 | 56.99 Mn |
Energy Recovery 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=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();