Energy Recovery (ERII) Revenue (2010 - 2026)
Energy Recovery (ERII) posted Revenue of $12 million for Q2 2026, down 57.2% from $28.05 million a year earlier but up 23.6% from the prior quarter.
Energy Recovery (ERII) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Energy Recovery was $120.57 million, down 15.0% year-over-year; for FY2025, it was $134.99 million, down 6.9% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In prior years, Energy Recovery's Revenue was $144.95 million in FY2024 (+12.9%), $128.35 million in FY2023 (+2.2%), $125.59 million in FY2022 (+20.9%) and $103.9 million in FY2021 (-12.7%).
- Quarterly Revenue has run from a low of $8.07 million in Q1 2025 to a high of $67.08 million in Q4 2024 over five years.
- On a year-over-year basis, Revenue increased in four of the last eight quarters, with an average decline of 7.9%.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2022, with growth of 46.6%; the weakest was Q1 2023, with a decline of 58.8%.
- According to Business Quant data, Revenue for the three prior quarters was $9.71 million (Q1 2026), $66.87 million (Q4 2025) and $32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 4.42 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 2.34 Bn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 1.47 Bn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 222.32 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 284.96 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 159.48 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 12.00 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 979,000.00 |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | - |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | 9.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.00 Mn |
| Mar 31, 2026 | 9.71 Mn |
| Dec 31, 2025 | 66.87 Mn |
| Sep 30, 2025 | 32.00 Mn |
| Jun 30, 2025 | 28.05 Mn |
| Mar 31, 2025 | 8.07 Mn |
| Dec 31, 2024 | 67.08 Mn |
| Sep 30, 2024 | 38.58 Mn |
| Jun 30, 2024 | 27.20 Mn |
| Mar 31, 2024 | 12.09 Mn |
| Dec 31, 2023 | 57.19 Mn |
| Sep 30, 2023 | 37.04 Mn |
| Jun 30, 2023 | 20.72 Mn |
| Mar 31, 2023 | 13.40 Mn |
| Dec 31, 2022 | 42.29 Mn |
| Sep 30, 2022 | 30.46 Mn |
| Jun 30, 2022 | 20.29 Mn |
| Mar 31, 2022 | 32.55 Mn |
| Dec 31, 2021 | 33.58 Mn |
| Sep 30, 2021 | 20.78 Mn |
Energy Recovery Revenue 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=revenue&ticker=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();