Energy Recovery (ERII) Retained Earnings (2010 - 2026)
Energy Recovery (ERII) reported Retained Earnings of $113.22 million for Q2 2026, up 15.7% from $97.88 million a year earlier but down 2.7% from the prior quarter.
Energy Recovery (ERII) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Energy Recovery posted Retained Earnings of $128.67 million, up 21.7% from FY2024.
- Retained Earnings has increased for five consecutive years, with a five-year compound annual growth rate of 41.3% (FY2020 to FY2025).
- By year, Retained Earnings came in at $105.71 million in FY2024 (+27.9%), $82.66 million in FY2023 (+35.2%), $61.15 million in FY2022 (+64.8%) and $37.1 million in FY2021 (+62.5%).
- Five-year quarterly Retained Earnings spans a low of $31.84 million in Q3 2021 and a high of $128.67 million in Q4 2025.
- Year over year, Retained Earnings has now increased in each of the last 21 quarters, with growth averaging 25.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 15.7% in Q2 2026 to 64.8% in Q4 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $116.42 million (Q1 2026), $128.67 million (Q4 2025) and $101.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 13.39 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 3.96 Bn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 2.18 Bn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 679.65 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 21.46 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 308.11 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 113.22 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | -712.20 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 131.13 Mn |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | -848.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.22 Mn |
| Mar 31, 2026 | 116.42 Mn |
| Dec 31, 2025 | 128.67 Mn |
| Sep 30, 2025 | 101.75 Mn |
| Jun 30, 2025 | 97.88 Mn |
| Mar 31, 2025 | 95.83 Mn |
| Dec 31, 2024 | 105.71 Mn |
| Sep 30, 2024 | 82.24 Mn |
| Jun 30, 2024 | 73.75 Mn |
| Mar 31, 2024 | 74.40 Mn |
| Dec 31, 2023 | 82.66 Mn |
| Sep 30, 2023 | 62.85 Mn |
| Jun 30, 2023 | 53.19 Mn |
| Mar 31, 2023 | 54.86 Mn |
| Dec 31, 2022 | 61.15 Mn |
| Sep 30, 2022 | 47.43 Mn |
| Jun 30, 2022 | 42.64 Mn |
| Mar 31, 2022 | 45.00 Mn |
| Dec 31, 2021 | 37.10 Mn |
| Sep 30, 2021 | 31.84 Mn |
Energy Recovery Retained Earnings 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=retained-earnings&ticker=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();