Energy Recovery (ERII) Total Non-Current Liabilities (2010 - 2026)
Energy Recovery's Total Non-Current Liabilities was $24.14 million in Q2 2026, down 10.5% from $26.98 million a year earlier but up 2.3% from the prior quarter.
Energy Recovery (ERII) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Energy Recovery came in at $24.25 million, down 25.9% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $32.73 million in FY2024 (-0.7%), $32.96 million in FY2023 (+4.4%), $31.58 million in FY2022 (-8.9%) and $34.66 million in FY2021 (+7.7%).
- Quarterly Total Non-Current Liabilities has moved between $23.61 million (Q1 2026) and $34.66 million (Q4 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with an average decline of 8.0% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2024 (growth of 10.0%); the worst was Q4 2025 (a decline of 25.9%).
- Per Business Quant data, ERII's Total Non-Current Liabilities in the three quarters before Q2 2026 was $23.61 million (Q1 2026), $24.25 million (Q4 2025) and $28.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 19.38 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 6.11 Bn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 4.74 Bn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 143.42 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 1.63 Bn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 222.57 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 24.14 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 100.65 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 4.27 Mn |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | 260.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.14 Mn |
| Mar 31, 2026 | 23.61 Mn |
| Dec 31, 2025 | 24.25 Mn |
| Sep 30, 2025 | 28.74 Mn |
| Jun 30, 2025 | 26.98 Mn |
| Mar 31, 2025 | 27.19 Mn |
| Dec 31, 2024 | 32.73 Mn |
| Sep 30, 2024 | 28.73 Mn |
| Jun 30, 2024 | 30.44 Mn |
| Mar 31, 2024 | 28.10 Mn |
| Dec 31, 2023 | 32.96 Mn |
| Sep 30, 2023 | 28.41 Mn |
| Jun 30, 2023 | 27.68 Mn |
| Mar 31, 2023 | 26.21 Mn |
| Dec 31, 2022 | 31.58 Mn |
| Sep 30, 2022 | 30.69 Mn |
| Jun 30, 2022 | 29.39 Mn |
| Mar 31, 2022 | 30.58 Mn |
| Dec 31, 2021 | 34.66 Mn |
| Sep 30, 2021 | 31.50 Mn |
Energy Recovery Total Non-Current 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-non-current-liabilities&ticker=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();