Energy Recovery (ERII) Accumulated Expenses (2010 - 2026)
Energy Recovery's Accumulated Expenses was $9.79 million in Q2 2026, down 13.0% from $11.25 million a year earlier and down 10.1% from the prior quarter.
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Analysis
Energy Recovery (ERII) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Energy Recovery came in at $11.67 million, down 34.2% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $17.73 million in FY2024 (+13.8%), $15.58 million in FY2023 (+6.1%), $14.69 million in FY2022 (+5.0%) and $13.99 million in FY2021 (+18.4%).
- The Q2 2026 figure marks the lowest quarterly Accumulated Expenses since Q1 2024.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with growth averaging 2.0% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2025 (growth of 35.1%); the worst was Q4 2025 (a decline of 34.2%).
- Per Business Quant data, ERII's Accumulated Expenses in the three quarters before Q2 2026 was $10.89 million (Q1 2026), $11.67 million (Q4 2025) and $12.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 76.01 Bn | 67.78 Bn | 1.95 Bn |
| 2 | Xylem | 23.56 Bn | 19.05 Bn | 963.00 Mn |
| 3 | Veralto | 23.10 Bn | 15.75 Bn | 902.00 Mn |
| 4 | Badger Meter | 3.72 Bn | 2.99 Bn | 90.77 Mn |
| 5 | Ceco Environmental | 3.11 Bn | 2.95 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 1.01 Bn | 971.46 Mn | 34.36 Mn |
| 7 | Energy Recovery | 342.87 Mn | 18.03 Mn | 8.96 Mn |
| 8 | Cadiz | 311.40 Mn | 279.84 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 290.46 Mn | 170.08 Mn | - |
| 10 | LanzaTech Global | 72.38 Mn | -42.75 Mn | 1.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.79 Mn |
| Mar 31, 2026 | 10.89 Mn |
| Dec 31, 2025 | 11.67 Mn |
| Sep 30, 2025 | 12.07 Mn |
| Jun 30, 2025 | 11.25 Mn |
| Mar 31, 2025 | 11.27 Mn |
| Dec 31, 2024 | 17.73 Mn |
| Sep 30, 2024 | 10.52 Mn |
| Jun 30, 2024 | 10.15 Mn |
| Mar 31, 2024 | 8.34 Mn |
| Dec 31, 2023 | 15.58 Mn |
| Sep 30, 2023 | 11.40 Mn |
| Jun 30, 2023 | 10.49 Mn |
| Mar 31, 2023 | 8.19 Mn |
| Dec 31, 2022 | 14.69 Mn |
| Sep 30, 2022 | 11.32 Mn |
| Jun 30, 2022 | 9.48 Mn |
| Mar 31, 2022 | 8.09 Mn |
| Dec 31, 2021 | 13.99 Mn |
| Sep 30, 2021 | 9.58 Mn |
API Access
Energy Recovery Accumulated 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=accumulated-expenses&ticker=ERII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();