UMeWorld (UMEW) EBITDA Margin (2011 - 2017)
UMeWorld (UMEW) posted EBITDA Margin of -11620.97% for FY2025 (year ended Sep 30, 2025), up 12232.91 percentage points from -23853.88% in FY2024.
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Analysis
UMeWorld (UMEW) EBITDA Margin (2011 - 2017) Analysis & Trends
Since FY2011, UMeWorld has reported EBITDA Margin for 12 fiscal years.
- Annual EBITDA Margin shows a five-year change of +3362104.03 percentage points (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual EBITDA Margin since FY2021.
- Business Quant data shows UMEW's EBITDA Margin at -23853.88% in FY2024 (-1988.07 pp), -21865.81% in FY2023 (+71093.33 pp), -92959.14% in FY2022 (-89349.64 pp) and -3609.50% in FY2021 (+3370115.50 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 143.23 Bn | 94.68 Bn | - | - |
| 2 | Mondelez International | 81.69 Bn | 74.96 Bn | 3.99 Bn | 24.54% |
| 3 | Hershey | 34.83 Bn | 31.08 Bn | 1.26 Bn | 27.94% |
| 4 | Kraft Heinz | 28.75 Bn | 15.17 Bn | 2.03 Bn | -98.53% |
| 5 | General Mills | 18.16 Bn | 15.81 Bn | 1.49 Bn | 17.62% |
| 6 | J M Smucker | 13.89 Bn | 13.67 Bn | 979.60 Mn | 28.80% |
| 7 | Mccormick | 12.77 Bn | 11.84 Bn | 794.90 Mn | 14.50% |
| 8 | Hormel Foods | 11.48 Bn | 8.15 Bn | 471.52 Mn | 5.99% |
| 9 | Chewy | 8.76 Bn | 6.05 Bn | 1.01 Bn | 3.95% |
| 10 | UMeWorld | 91.83 Mn | 91.43 Mn | 4,542.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 3,358.13% |
| Jun 30, 2017 | -6,222.21% |
| Mar 31, 2017 | -37,231.93% |
| Sep 30, 2013 | -9,429.78% |
| Jun 30, 2013 | -139.96% |
| Mar 31, 2013 | -5.59% |
| Dec 31, 2012 | 73.87% |
| Jun 30, 2012 | -19.12% |
| Mar 31, 2012 | 58.56% |
| Dec 31, 2011 | -152.73% |
| Sep 30, 2011 | 123.14% |
| Jun 30, 2011 | -200.63% |
API Access
UMeWorld EBITDA Margin 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-margin&ticker=UMEW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=UMEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();