Energy Recovery (ERII) Total Liabilities (2010 - 2026)
Energy Recovery (ERII) reported Total Liabilities of $25.26 million for Q2 2026, down 6.7% from $27.07 million a year earlier but up 2.2% from the prior quarter.
Energy Recovery (ERII) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Energy Recovery posted Total Liabilities of $25.32 million, down 22.8% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- By year, Total Liabilities came in at $32.78 million in FY2024 (-1.2%), $33.17 million in FY2023 (+4.6%), $31.7 million in FY2022 (-9.2%) and $34.91 million in FY2021 (+6.8%).
- Five-year quarterly Total Liabilities spans a low of $24.7 million in Q1 2026 and a high of $34.91 million in Q4 2021.
- Year over year, Total Liabilities has now declined in each of the last seven quarters, with an average decline of 6.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2024 (growth of 9.5%); the low point was Q4 2025 (a decline of 22.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.7 million (Q1 2026), $25.32 million (Q4 2025) and $28.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 19.84 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 6.92 Bn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 5.46 Bn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 315.29 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 1.65 Bn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 233.30 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 25.26 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 130.10 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 58.20 Mn |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | 62.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.26 Mn |
| Mar 31, 2026 | 24.70 Mn |
| Dec 31, 2025 | 25.32 Mn |
| Sep 30, 2025 | 28.81 Mn |
| Jun 30, 2025 | 27.07 Mn |
| Mar 31, 2025 | 27.28 Mn |
| Dec 31, 2024 | 32.78 Mn |
| Sep 30, 2024 | 28.83 Mn |
| Jun 30, 2024 | 30.53 Mn |
| Mar 31, 2024 | 28.23 Mn |
| Dec 31, 2023 | 33.17 Mn |
| Sep 30, 2023 | 28.63 Mn |
| Jun 30, 2023 | 27.89 Mn |
| Mar 31, 2023 | 26.46 Mn |
| Dec 31, 2022 | 31.70 Mn |
| Sep 30, 2022 | 30.82 Mn |
| Jun 30, 2022 | 29.62 Mn |
| Mar 31, 2022 | 30.81 Mn |
| Dec 31, 2021 | 34.91 Mn |
| Sep 30, 2021 | 32.05 Mn |
Energy Recovery Total Liabilities 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=total-liabilities&ticker=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();