UMeWorld (UMEW) EBITDA (2009 - 2017)
UMeWorld (UMEW) recorded EBITDA of -$258,218 in FY2025 (year ended Sep 30, 2025), compared with -$224,465 in FY2024.
Powered by 
Analysis
UMeWorld (UMEW) EBITDA (2009 - 2017) Analysis & Trends
Starting with FY2011, UMeWorld's EBITDA history includes 15 fiscal years.
- Annual EBITDA has ranged from -$306,340 in FY2023 to -$86,452 in FY2022 over the past five years.
- Per Business Quant data, UMEW's EBITDA was -$224,465 in FY2024, -$306,340 in FY2023, -$86,452 in FY2022 and -$102,221 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 2.11 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 953.93 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.14 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 293.60 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 131.70 Mn |
| 10 | UMeWorld | 98.68 Mn | 98.24 Mn | 42,817.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 65,047.00 |
| Jun 30, 2017 | -313,475.00 |
| Mar 31, 2017 | -354,448.00 |
| Dec 31, 2016 | -308,925.00 |
| Sep 30, 2016 | 162,883.00 |
| Jun 30, 2016 | -555,567.00 |
| Mar 31, 2016 | -358,051.00 |
| Dec 31, 2015 | -206,508.00 |
| Sep 30, 2015 | 41,260.00 |
| Jun 30, 2015 | -442,176.00 |
| Mar 31, 2015 | -267,230.00 |
| Dec 31, 2014 | -168,864.00 |
| Sep 30, 2014 | -275,482.00 |
| Jun 30, 2014 | -2.91 Mn |
| Mar 31, 2014 | -308,406.00 |
| Dec 31, 2013 | -218,155.00 |
| Sep 30, 2013 | -19.80 Mn |
| Jun 30, 2013 | -125,961.00 |
| Mar 31, 2013 | -5,031.00 |
| Dec 31, 2012 | 273,572.00 |
API Access
UMeWorld 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=UMEW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=UMEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();