American Clean Resources (ACRG) Operating Expenses (2010 - 2026)
American Clean Resources' Operating Expenses was $301,162 in Q2 2026, up 23.3% from $244,269 a year earlier but down 1.3% from the prior quarter.
Powered by 
Analysis
American Clean Resources (ACRG) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Clean Resources' Operating Expenses was $1.47 million through Jun 30, 2026, down 73.6% year-over-year; for FY2025, it came in at $1.41 million, down 74.7% from FY2024.
- Operating Expenses shows a three-year compound annual growth rate of 63.1% (FY2022 to FY2025).
- In earlier years, Operating Expenses was $5.57 million in FY2024, $487,357 in FY2023 (+50.4%) and $323,940 in FY2022.
- Quarterly Operating Expenses has moved between -$138,121 (Q4 2022) and $4.8 million (Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last seven quarters, with growth averaging 20.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2024 (growth of 402.1%); the worst was Q4 2025 (a decline of 89.8%).
- Per Business Quant data, ACRG's Operating Expenses in the three quarters before Q2 2026 was $305,084 (Q1 2026), $490,377 (Q4 2025) and $377,181 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | American Clean Resources | 112.67 Mn | 112.65 Mn | - | 301,162.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301,162.00 |
| Mar 31, 2026 | 305,084.00 |
| Dec 31, 2025 | 490,377.00 |
| Sep 30, 2025 | 377,181.00 |
| Jun 30, 2025 | 244,269.00 |
| Mar 31, 2025 | 294,932.00 |
| Dec 31, 2024 | 4.80 Mn |
| Sep 30, 2024 | 241,920.00 |
| Jun 30, 2024 | 315,129.00 |
| Mar 31, 2024 | 211,498.00 |
| Dec 31, 2023 | 176,038.00 |
| Sep 30, 2023 | 104,754.00 |
| Mar 31, 2023 | 42,119.00 |
| Dec 31, 2022 | -138,121.00 |
| Sep 30, 2022 | 150,355.00 |
| Mar 31, 2020 | 52,220.00 |
| Dec 31, 2019 | 30,712.00 |
| Sep 30, 2019 | 826.00 |
| Jun 30, 2019 | 10,694.00 |
| Mar 31, 2019 | 1,643.00 |
API Access
American Clean Resources Operating 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=operating-expenses&ticker=ACRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ACRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();