American Clean Resources (ACRG) Return on Capital Employed [ROCE] (2011 - 2024)
American Clean Resources' Return on Capital Employed [ROCE] came in at -263.41% for FY2024, down 247.49 percentage points from -15.92% in FY2023.
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Analysis
American Clean Resources (ACRG) Return on Capital Employed [ROCE] (2011 - 2024) Analysis & Trends
Going back to FY2011, American Clean Resources' Return on Capital Employed [ROCE] data covers 7 years.
- The FY2024 figure represents the lowest annual Return on Capital Employed [ROCE] since FY2015.
- Per Business Quant, earlier years put Return on Capital Employed [ROCE] at -15.92% in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 41.86% |
| 10 | American Clean Resources | 112.67 Mn | 112.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | -9.79% |
| Dec 31, 2023 | -2.67% |
| Sep 30, 2023 | -3.17% |
| Jun 30, 2015 | -373.37% |
| Mar 31, 2015 | -58.77% |
| Dec 31, 2014 | -45.14% |
| Sep 30, 2014 | -56.31% |
| Jun 30, 2014 | -54.55% |
| Mar 31, 2014 | -24.08% |
| Dec 31, 2013 | -18.69% |
| Sep 30, 2013 | -5.89% |
| Jun 30, 2013 | -4.90% |
| Mar 31, 2013 | -5.07% |
| Dec 31, 2012 | -5.42% |
| Sep 30, 2012 | -6.59% |
| Jun 30, 2012 | -11.37% |
| Mar 31, 2012 | -13.36% |
| Dec 31, 2011 | -35.84% |
| Sep 30, 2011 | -34.59% |
API Access
American Clean Resources Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=ACRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=ACRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();