American Clean Resources (ACRG) Other Operating Expenses (2010 - 2024)
American Clean Resources (ACRG) posted Other Operating Expenses of $4.57 million for Q4 2024.
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Analysis
American Clean Resources (ACRG) Other Operating Expenses (2010 - 2024) Analysis & Trends
Since Q2 2010, American Clean Resources has reported Other Operating Expenses for 16 quarters.
- The Q4 2024 figure stands as the highest quarterly Other Operating Expenses since Q2 2015.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 4.57 Mn |
| Dec 31, 2015 | 615,817.00 |
| Sep 30, 2015 | 809,675.00 |
| Jun 30, 2015 | 35.31 Mn |
| Mar 31, 2015 | 6.55 Mn |
| Dec 31, 2014 | 4,400.00 |
| Sep 30, 2014 | 4,400.00 |
| Jun 30, 2014 | 4,406.00 |
| Mar 31, 2014 | 4,407.00 |
| Dec 31, 2012 | 40,925.00 |
| Dec 31, 2011 | 662.00 |
| Jun 30, 2011 | 7,241.00 |
| Mar 31, 2011 | 21,720.00 |
| Dec 31, 2010 | 21,721.00 |
| Sep 30, 2010 | 21,754.00 |
| Jun 30, 2010 | 21,820.00 |
API Access
American Clean Resources Other 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=other-operating-expenses&ticker=ACRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=ACRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();