UMeWorld (UMEW) Return on Capital Employed [ROCE] (2012 - 2015)
UMeWorld (UMEW) posted Return on Capital Employed [ROCE] of -818.10% for FY2015 (year ended Sep 30, 2015), down 339.53 percentage points from -478.57% in FY2014.
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Analysis
UMeWorld (UMEW) Return on Capital Employed [ROCE] (2012 - 2015) Analysis & Trends
Since FY2012, UMeWorld has reported Return on Capital Employed [ROCE] for 4 fiscal years.
- Annual Return on Capital Employed [ROCE] has declined for three consecutive fiscal years, with a three-year change of -815.72 percentage points (FY2012 to FY2015).
- Business Quant data shows UMEW's Return on Capital Employed [ROCE] at -478.57% in FY2014 (-296.93 pp), -181.64% in FY2013 (-179.26 pp) and -2.38% in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 11.13% |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 23.54% |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | -5.19% |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | -0.89% |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 5.93% |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 8.50% |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 5.01% |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 24.87% |
| 10 | UMeWorld | 98.68 Mn | 98.24 Mn | 42,817.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | -1,899.55% |
| Mar 31, 2015 | -1,864.60% |
| Dec 31, 2014 | -1,023.95% |
| Sep 30, 2014 | -619.79% |
| Jun 30, 2014 | -2,916.55% |
| Mar 31, 2014 | -1,971.52% |
| Dec 31, 2013 | -1,614.29% |
| Sep 30, 2013 | -181.36% |
| Jun 30, 2013 | -3.27% |
| Mar 31, 2013 | -0.14% |
| Dec 31, 2012 | 0.43% |
| Sep 30, 2012 | -2.39% |
API Access
UMeWorld 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=UMEW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "UMEW", "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=UMEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();