Energy Recovery (ERII) Inventory (2010 - 2026)
Energy Recovery's Inventory came in at $38.24 million for Q2 2026, up 17.1% from $32.66 million a year earlier and up 23.8% from the prior quarter.
Analysis
Energy Recovery (ERII) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Energy Recovery's Inventory was $24.26 million, down 2.6% from FY2024.
- Inventory has declined in each of the last three years, though with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- Going back by year, Inventory was $24.91 million in FY2024 (-4.8%), $26.15 million in FY2023 (-7.8%), $28.37 million in FY2022 (+39.2%) and $20.38 million in FY2021 (+73.5%).
- The Q2 2026 figure represents the highest quarterly Inventory in data going back to Q4 2010.
- Year-over-year, Inventory increased in three of the last eight quarters, with growth averaging 0.4%.
- The fastest year-over-year change in Inventory over five years came in Q1 2022 (growth of 96.9%), and the weakest in Q4 2023 (a decline of 7.8%).
- Business Quant data shows ERII's Inventory at $30.89 million (Q1 2026), $24.26 million (Q4 2025) and $33.57 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 78.59 Bn | 70.36 Bn | 1.95 Bn | 1.64 Bn |
| 2 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 1.02 Bn |
| 3 | Veralto | 23.49 Bn | 16.14 Bn | 902.00 Mn | 336.00 Mn |
| 4 | Badger Meter | 3.66 Bn | 2.93 Bn | 90.77 Mn | 178.09 Mn |
| 5 | Ceco Environmental | 3.13 Bn | 2.96 Bn | 86.47 Mn | 211.39 Mn |
| 6 | NWPX Infrastructure | 993.98 Mn | 955.45 Mn | 34.36 Mn | 91.08 Mn |
| 7 | Energy Recovery | 343.89 Mn | 19.06 Mn | 8.96 Mn | 38.24 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | 1.97 Mn |
| 9 | AirJoule Technologies | 296.32 Mn | 175.95 Mn | - | - |
| 10 | LanzaTech Global | 77.75 Mn | -37.39 Mn | 1.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.24 Mn |
| Mar 31, 2026 | 30.89 Mn |
| Dec 31, 2025 | 24.26 Mn |
| Sep 30, 2025 | 33.57 Mn |
| Jun 30, 2025 | 32.66 Mn |
| Mar 31, 2025 | 32.41 Mn |
| Dec 31, 2024 | 24.91 Mn |
| Sep 30, 2024 | 33.46 Mn |
| Jun 30, 2024 | 33.66 Mn |
| Mar 31, 2024 | 31.67 Mn |
| Dec 31, 2023 | 26.15 Mn |
| Sep 30, 2023 | 33.89 Mn |
| Jun 30, 2023 | 36.32 Mn |
| Mar 31, 2023 | 33.12 Mn |
| Dec 31, 2022 | 28.37 Mn |
| Sep 30, 2022 | 32.13 Mn |
| Jun 30, 2022 | 28.24 Mn |
| Mar 31, 2022 | 23.48 Mn |
| Dec 31, 2021 | 20.38 Mn |
| Sep 30, 2021 | 20.56 Mn |
API Access
Energy Recovery Inventory 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=inventory&ticker=ERII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ERII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();