Energy Recovery (ERII) Cash & Equivalents (2010 - 2026)
Energy Recovery (ERII) posted Cash & Equivalents of $61.44 million for Q2 2026, up 7.7% from $57.05 million a year earlier and up 22.6% from the prior quarter.
Energy Recovery (ERII) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Energy Recovery's Cash & Equivalents came in at $48.08 million, up 62.3% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -12.6% (FY2020 to FY2025).
- In prior years, Energy Recovery's Cash & Equivalents was $29.63 million in FY2024 (-56.5%), $68.1 million in FY2023 (+20.8%), $56.35 million in FY2022 (-24.2%) and $74.36 million in FY2021 (-21.1%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q3 2024.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 3.0% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2025, with growth of 62.3%; the weakest was Q2 2022, with a decline of 58.2%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $50.12 million (Q1 2026), $48.08 million (Q4 2025) and $47.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 5.14 Bn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 1.28 Bn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 2.12 Bn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 95.73 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | 61.10 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 19.32 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | 61.44 Mn |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | 5.32 Mn |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | 41.42 Mn |
| 10 | LanzaTech Global | 79.06 Mn | -36.08 Mn | 1.91 Mn | 44.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.44 Mn |
| Mar 31, 2026 | 50.12 Mn |
| Dec 31, 2025 | 48.08 Mn |
| Sep 30, 2025 | 47.10 Mn |
| Jun 30, 2025 | 57.05 Mn |
| Mar 31, 2025 | 49.14 Mn |
| Dec 31, 2024 | 29.63 Mn |
| Sep 30, 2024 | 63.26 Mn |
| Jun 30, 2024 | 40.31 Mn |
| Mar 31, 2024 | 70.78 Mn |
| Dec 31, 2023 | 68.10 Mn |
| Sep 30, 2023 | 51.44 Mn |
| Jun 30, 2023 | 44.24 Mn |
| Mar 31, 2023 | 66.33 Mn |
| Dec 31, 2022 | 56.35 Mn |
| Sep 30, 2022 | 52.13 Mn |
| Jun 30, 2022 | 43.22 Mn |
| Mar 31, 2022 | 44.52 Mn |
| Dec 31, 2021 | 74.36 Mn |
| Sep 30, 2021 | 65.75 Mn |
Energy Recovery Cash & Equivalents 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=cash-and-equivalents&ticker=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();