Energy Recovery, Inc. (ERII) Operating Expenses (2010 - 2026)
Energy Recovery (ERII) reported Operating Expenses of $14.84 million for Q2 2026, down 9.9% from $16.48 million a year earlier and down 15.5% from the prior quarter.
Energy Recovery, Inc. (ERII) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Energy Recovery's Operating Expenses came in at $62.94 million, down 13.8% year-over-year; for FY2025, it was $64.04 million, down 17.1% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $77.21 million in FY2024 (+13.5%), $68.03 million in FY2023 (+8.8%), $62.53 million in FY2022 (+8.9%) and $57.4 million in FY2021 (-3.4%).
- Five-year quarterly Operating Expenses spans a low of $13.27 million in Q3 2021 and a high of $21.51 million in Q4 2024.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 6.2%.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 23.9%); the low point was Q4 2025 (a decline of 36.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.56 million (Q1 2026), $13.65 million (Q4 2025) and $16.9 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.84 Mn |
| Mar 31, 2026 | 17.56 Mn |
| Dec 31, 2025 | 13.65 Mn |
| Sep 30, 2025 | 16.90 Mn |
| Jun 30, 2025 | 16.48 Mn |
| Mar 31, 2025 | 17.02 Mn |
| Dec 31, 2024 | 21.51 Mn |
| Sep 30, 2024 | 18.06 Mn |
| Jun 30, 2024 | 19.58 Mn |
| Mar 31, 2024 | 18.07 Mn |
| Dec 31, 2023 | 18.89 Mn |
| Sep 30, 2023 | 16.75 Mn |
| Jun 30, 2023 | 16.13 Mn |
| Mar 31, 2023 | 16.27 Mn |
| Dec 31, 2022 | 15.29 Mn |
| Sep 30, 2022 | 16.14 Mn |
| Jun 30, 2022 | 16.28 Mn |
| Mar 31, 2022 | 14.83 Mn |
| Dec 31, 2021 | 17.18 Mn |
| Sep 30, 2021 | 13.27 Mn |
Energy Recovery, Inc. Operating Expenses 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=operating-expenses&ticker=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();