American Clean Resources (ACRG) Capital Expenditures (2011 - 2015)
American Clean Resources (ACRG) posted Capital Expenditures of $43,528 for FY2015, down 97.4% from $1.67 million in FY2014.
Analysis
American Clean Resources (ACRG) Capital Expenditures (2011 - 2015) Analysis & Trends
Since FY2011, American Clean Resources has reported Capital Expenditures for 4 years.
- Annual Capital Expenditures shows a four-year compound annual growth rate of -54.6% (FY2011 to FY2015).
- Business Quant data shows ACRG's Capital Expenditures at $1.67 million in FY2014, $68,349 in FY2013 and $1.02 million in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 587.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 638.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 173.30 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 102.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 223.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 92.00 Mn |
| 10 | American Clean Resources | 112.67 Mn | 112.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | -125,741.00 |
| Mar 31, 2015 | 169,269.00 |
| Dec 31, 2014 | -20,265.00 |
| Sep 30, 2014 | 535,799.00 |
| Jun 30, 2014 | 979,156.00 |
| Mar 31, 2014 | 177,255.00 |
| Dec 31, 2013 | 47,349.00 |
| Sep 30, 2013 | 21,000.00 |
| Dec 31, 2011 | 50,000.00 |
| Jun 30, 2011 | 7,450.00 |
| Mar 31, 2011 | 962,977.00 |
API Access
American Clean Resources Capital Expenditures 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=capital-expenditures&ticker=ACRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ACRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();