American Clean Resources (ACRG) Enterprise Value (2010 - 2026)
American Clean Resources (ACRG) reported Enterprise Value of $63.45 million for Q2 2026, up 128.1% from $27.82 million a year earlier but down 43.8% from the prior quarter.
American Clean Resources (ACRG) Enterprise Value (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American Clean Resources' Enterprise Value came in at $63.44 million, up 128.1% year-over-year; for FY2025, it came in at $70.49 million, down 3.2% from FY2024.
- Enterprise Value has a five-year compound annual growth rate of -24.0% (FY2020 to FY2025).
- By year, Enterprise Value came in at $72.84 million in FY2024 (+20.8%), $60.3 million in FY2023, $4.01 million in FY2022 (-86.0%) and $28.67 million in FY2021 (-89.7%).
- Five-year quarterly Enterprise Value spans a low of $4.01 million in Q4 2022 and a high of $162.21 million in Q1 2024.
- Year over year, Enterprise Value gained in four of the last eight quarters, with growth averaging 27.4%.
- The high point for year-over-year Enterprise Value in five years was Q3 2024 (growth of 226.4%); the low point was Q3 2021 (a decline of 93.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $112.95 million (Q1 2026), $70.49 million (Q4 2025) and $27.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | American Clean Resources | 112.67 Mn | 112.65 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.45 Mn |
| Mar 31, 2026 | 112.95 Mn |
| Dec 31, 2025 | 70.49 Mn |
| Sep 30, 2025 | 27.83 Mn |
| Jun 30, 2025 | 27.82 Mn |
| Mar 31, 2025 | 72.84 Mn |
| Dec 31, 2024 | 72.84 Mn |
| Sep 30, 2024 | 121.72 Mn |
| Jun 30, 2024 | 114.73 Mn |
| Mar 31, 2024 | 162.21 Mn |
| Dec 31, 2023 | 60.30 Mn |
| Sep 30, 2023 | 37.29 Mn |
| Jun 30, 2023 | 8.00 Mn |
| Mar 31, 2023 | 6.71 Mn |
| Dec 31, 2022 | 4.01 Mn |
| Sep 30, 2022 | 15.88 Mn |
| Jun 30, 2022 | 31.39 Mn |
| Mar 31, 2022 | 32.73 Mn |
| Dec 31, 2021 | 28.67 Mn |
| Sep 30, 2021 | 21.77 Mn |
American Clean Resources Enterprise Value 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=enterprise-value&ticker=ACRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "ACRG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=ACRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();