Energy Recovery (ERII) Non-Current Assets (2009 - 2026)
Energy Recovery (ERII) recorded Non-Current Assets of $48.31 million in Q2 2026, down 19.7% from $60.13 million a year earlier but up 0.8% from the prior quarter.
Energy Recovery (ERII) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Energy Recovery reported Non-Current Assets of $50.3 million, down 27.2% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $69.14 million in FY2024 (+2.4%), $67.5 million in FY2023 (+14.1%), $59.17 million in FY2022 (-4.4%) and $61.93 million in FY2021 (+1.3%).
- Quarterly Non-Current Assets has ranged from $47.93 million in Q1 2026 to $90.01 million in Q2 2024 over the past five years.
- On a year-over-year basis, Non-Current Assets has declined for five consecutive quarters, with an average decline of 16.6% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 51.6% in Q2 2024, against a decline of 33.2% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $47.93 million (Q1 2026), $50.3 million (Q4 2025) and $54.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.84 Bn | 78.85 Bn | 2.07 Bn | 24.01 Bn |
| 2 | Veralto | 28.78 Bn | 21.41 Bn | 908.00 Mn | 4.90 Bn |
| 3 | Xylem | 22.22 Bn | 18.19 Bn | 907.00 Mn | 13.37 Bn |
| 4 | Badger Meter | 4.49 Bn | 3.89 Bn | 98.85 Mn | 575.75 Mn |
| 5 | Ceco Environmental | 3.04 Bn | 2.84 Bn | 130.10 Mn | 36.00 Mn |
| 6 | NWPX Infrastructure | 868.49 Mn | 826.57 Mn | 38.19 Mn | 377.45 Mn |
| 7 | Energy Recovery | 373.27 Mn | 35.71 Mn | 4.20 Mn | 47.75 Mn |
| 8 | Cadiz | 280.26 Mn | 245.37 Mn | -24,000.00 | 123.32 Mn |
| 9 | AirJoule Technologies | 174.57 Mn | 54.19 Mn | - | 263.66 Mn |
| 10 | LanzaTech Global | 55.76 Mn | -41.87 Mn | 1.91 Mn | 253.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 47.75 Mn |
| Jun 30, 2026 | 48.31 Mn |
| Mar 31, 2026 | 47.93 Mn |
| Dec 31, 2025 | 50.30 Mn |
| Sep 30, 2025 | 54.02 Mn |
| Jun 30, 2025 | 60.13 Mn |
| Mar 31, 2025 | 70.80 Mn |
| Dec 31, 2024 | 69.14 Mn |
| Sep 30, 2024 | 72.79 Mn |
| Jun 30, 2024 | 90.01 Mn |
| Mar 31, 2024 | 65.89 Mn |
| Dec 31, 2023 | 67.50 Mn |
| Sep 30, 2023 | 76.39 Mn |
| Jun 30, 2023 | 59.38 Mn |
| Mar 31, 2023 | 60.03 Mn |
| Dec 31, 2022 | 59.17 Mn |
| Sep 30, 2022 | 60.90 Mn |
| Jun 30, 2022 | 62.40 Mn |
| Mar 31, 2022 | 72.80 Mn |
| Dec 31, 2021 | 61.93 Mn |
Energy Recovery Non-Current Assets 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=non-current-assets&ticker=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();