Energy Recovery (ERII) Selling, General & Administrative (2010 - 2026)
Energy Recovery (ERII) posted Selling, General & Administrative of $6.8 million for Q2 2026, down 11.3% from $7.67 million a year earlier but up 5.4% from the prior quarter.
Energy Recovery (ERII) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Energy Recovery was $26.78 million, down 16.9% year-over-year; for FY2025, it came in at $29.77 million, down 10.0% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, Energy Recovery's Selling, General & Administrative was $33.07 million in FY2024 (+14.6%), $28.86 million in FY2023 (+1.8%), $28.34 million in FY2022 (+12.6%) and $25.17 million in FY2021 (-1.4%).
- Quarterly Selling, General & Administrative has run from a low of $5.85 million in Q3 2021 to a high of $9.53 million in Q2 2024 over five years.
- On a year-over-year basis, Selling, General & Administrative has declined in each of the last five quarters, with an average decline of 6.5% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q2 2024, with growth of 31.1%; the weakest was Q4 2025, with a decline of 27.6%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $6.46 million (Q1 2026), $6.01 million (Q4 2025) and $7.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 1.14 Bn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 503.00 Mn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 514.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 51.40 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | 63.89 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 13.21 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | 6.80 Mn |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | 8.42 Mn |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | 3.82 Mn |
| 10 | LanzaTech Global | 79.06 Mn | -36.08 Mn | 1.91 Mn | 8.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.80 Mn |
| Mar 31, 2026 | 6.46 Mn |
| Dec 31, 2025 | 6.01 Mn |
| Sep 30, 2025 | 7.51 Mn |
| Jun 30, 2025 | 7.67 Mn |
| Mar 31, 2025 | 8.57 Mn |
| Dec 31, 2024 | 8.30 Mn |
| Sep 30, 2024 | 7.67 Mn |
| Jun 30, 2024 | 9.53 Mn |
| Mar 31, 2024 | 7.57 Mn |
| Dec 31, 2023 | 7.16 Mn |
| Sep 30, 2023 | 7.37 Mn |
| Jun 30, 2023 | 7.27 Mn |
| Mar 31, 2023 | 7.07 Mn |
| Dec 31, 2022 | 7.19 Mn |
| Sep 30, 2022 | 7.61 Mn |
| Jun 30, 2022 | 7.00 Mn |
| Mar 31, 2022 | 6.55 Mn |
| Dec 31, 2021 | 6.53 Mn |
| Sep 30, 2021 | 5.85 Mn |
Energy Recovery Selling, General & Administrative 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=selling-general-and-administrative&ticker=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();