American Clean Resources (ACRG) EBITDA (2009 - 2024)
American Clean Resources' EBITDA came in at -$38,607 for Q1 2024.
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Analysis
American Clean Resources (ACRG) EBITDA (2009 - 2024) Analysis & Trends
Over the trailing twelve months to Mar 31, 2024, American Clean Resources reported EBITDA of -$65,934; for FY2023, it came in at -$269,108.
- The Q1 2024 figure represents the highest quarterly EBITDA since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 1.72 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 1.09 Bn |
| 10 | American Clean Resources | 81.79 Mn | 82.00 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 99,823.00 |
| Dec 31, 2016 | 15,642.00 |
| Sep 30, 2016 | 79,506.00 |
| Jun 30, 2016 | -122,475.00 |
| Mar 31, 2016 | -56,683.00 |
| Dec 31, 2015 | 924,845.00 |
| Sep 30, 2015 | -1.57 Mn |
| Jun 30, 2015 | -40.90 Mn |
| Mar 31, 2015 | -7.09 Mn |
| Dec 31, 2014 | -1.53 Mn |
| Sep 30, 2014 | -1.39 Mn |
| Jun 30, 2014 | -9.49 Mn |
| Mar 31, 2014 | -2.53 Mn |
| Dec 31, 2013 | -4.77 Mn |
| Sep 30, 2013 | -600,672.00 |
| Jun 30, 2013 | -248,544.00 |
| Mar 31, 2013 | -428,225.00 |
| Dec 31, 2012 | -427,414.00 |
| Sep 30, 2012 | -231,094.00 |
| Jun 30, 2012 | -272,505.00 |
API Access
American Clean Resources EBITDA 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=ebitda&ticker=ACRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ACRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();