Energy Recovery (ERII) Change in Accrued Expenses (2009 - 2026)
Energy Recovery (ERII) reported Change in Accured Expenses of $990,000 for Q2 2026, down 10.2% from $1.1 million a year earlier.
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Analysis
Energy Recovery (ERII) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Energy Recovery's Change in Accured Expenses came in at $1.44 million, down 50.9% year-over-year; for FY2025, it came in at -$3.83 million.
- By year, Change in Accured Expenses came in at $1.81 million in FY2024 (+516.0%), $294,000 in FY2023, -$1.06 million in FY2022 and $396,000 in FY2021 (+158.8%).
- Five-year quarterly Change in Accured Expenses spans a low of -$7.59 million in Q1 2024 and a high of $8.28 million in Q4 2024.
- Year over year, Change in Accured Expenses gained in 1 of the last four quarters, with an average decline of 8.8%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2023 (growth of 66.7%); the low point was Q4 2025 (a decline of 65.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$865,000 (Q1 2026), $2.83 million (Q4 2025) and -$1.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.84 Bn | 78.85 Bn | 2.07 Bn | - |
| 2 | Veralto | 28.78 Bn | 21.41 Bn | 908.00 Mn | -8.00 Mn |
| 3 | Xylem | 22.22 Bn | 18.19 Bn | 907.00 Mn | - |
| 4 | Badger Meter | 4.49 Bn | 3.89 Bn | 98.85 Mn | - |
| 5 | Ceco Environmental | 3.04 Bn | 2.84 Bn | 130.10 Mn | 9.19 Mn |
| 6 | NWPX Infrastructure | 868.49 Mn | 826.57 Mn | 38.19 Mn | 2.27 Mn |
| 7 | Energy Recovery | 373.27 Mn | 35.71 Mn | 4.20 Mn | -871,000.00 |
| 8 | Cadiz | 280.26 Mn | 245.37 Mn | -24,000.00 | 437,000.00 |
| 9 | AirJoule Technologies | 174.57 Mn | 54.19 Mn | - | 452,741.00 |
| 10 | LanzaTech Global | 55.76 Mn | -41.87 Mn | 1.91 Mn | -2.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -871,000.00 |
| Jun 30, 2026 | 990,000.00 |
| Mar 31, 2026 | -865,000.00 |
| Dec 31, 2025 | 491,000.00 |
| Sep 30, 2025 | 826,000.00 |
| Jun 30, 2025 | 1.10 Mn |
| Mar 31, 2025 | -6.25 Mn |
| Dec 31, 2024 | 8.28 Mn |
| Sep 30, 2024 | -197,000.00 |
| Jun 30, 2024 | 1.32 Mn |
| Mar 31, 2024 | -7.59 Mn |
| Dec 31, 2023 | 5.26 Mn |
| Sep 30, 2023 | 300,000.00 |
| Jun 30, 2023 | 1.89 Mn |
| Mar 31, 2023 | -7.16 Mn |
| Dec 31, 2022 | 3.56 Mn |
| Sep 30, 2022 | 860,000.00 |
| Jun 30, 2022 | 1.13 Mn |
| Mar 31, 2022 | -6.61 Mn |
| Dec 31, 2021 | 3.53 Mn |
API Access
Energy Recovery Change in Accrued Expenses 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=change-in-accured-expenses&ticker=ERII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();