Energy Recovery (ERII) Cost of Revenue (2010 - 2026)
Energy Recovery (ERII) posted Cost of Revenue of $3.04 million for Q2 2026, down 69.9% from $10.1 million a year earlier and down 56.6% from the prior quarter.
Energy Recovery (ERII) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Energy Recovery was $43.4 million, down 7.9% year-over-year; for FY2025, it came in at $47.06 million, down 2.0% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In prior years, Energy Recovery's Cost of Revenue was $48.02 million in FY2024 (+16.3%), $41.27 million in FY2023 (+7.9%), $38.24 million in FY2022 (+17.0%) and $32.67 million in FY2021 (+15.7%).
- The Q2 2026 figure stands as the lowest quarterly Cost of Revenue since Q1 2015.
- On a year-over-year basis, Cost of Revenue increased in five of the last eight quarters, with growth averaging 3.8%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2026, with growth of 94.2%; the weakest was Q2 2026, with a decline of 69.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $7 million (Q1 2026), $21.91 million (Q4 2025) and $11.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 2.47 Bn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 1.37 Bn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 572.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 131.55 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | 198.49 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 125.12 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | 3.04 Mn |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | 1.00 Mn |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | - |
| 10 | LanzaTech Global | 79.06 Mn | -36.08 Mn | 1.91 Mn | 7.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.04 Mn |
| Mar 31, 2026 | 7.00 Mn |
| Dec 31, 2025 | 21.91 Mn |
| Sep 30, 2025 | 11.44 Mn |
| Jun 30, 2025 | 10.10 Mn |
| Mar 31, 2025 | 3.61 Mn |
| Dec 31, 2024 | 19.96 Mn |
| Sep 30, 2024 | 13.47 Mn |
| Jun 30, 2024 | 9.63 Mn |
| Mar 31, 2024 | 4.96 Mn |
| Dec 31, 2023 | 17.69 Mn |
| Sep 30, 2023 | 11.15 Mn |
| Jun 30, 2023 | 7.18 Mn |
| Mar 31, 2023 | 5.25 Mn |
| Dec 31, 2022 | 12.40 Mn |
| Sep 30, 2022 | 9.42 Mn |
| Jun 30, 2022 | 6.92 Mn |
| Mar 31, 2022 | 9.50 Mn |
| Dec 31, 2021 | 10.42 Mn |
| Sep 30, 2021 | 6.09 Mn |
Energy Recovery Cost of 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=cost-of-revenue&ticker=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();