UMeWorld (UMEW) Operating Expenses (2009 - 2026)
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Analysis
UMeWorld (UMEW) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 2.14 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 706.14 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.11 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 1.00 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 577.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 919.20 Mn |
| 10 | UMeWorld | 98.68 Mn | 98.24 Mn | 42,817.00 | 135,712.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135,712.00 |
| Mar 31, 2026 | 120,631.00 |
| Dec 31, 2025 | 143,296.00 |
| Sep 30, 2025 | 200,491.00 |
| Jun 30, 2025 | 19,484.00 |
| Mar 31, 2025 | 19,266.00 |
| Dec 31, 2024 | 12,322.00 |
| Sep 30, 2017 | 177,763.00 |
| Jun 30, 2017 | 290,840.00 |
| Mar 31, 2017 | 244,366.00 |
| Dec 31, 2016 | 192,465.00 |
| Sep 30, 2016 | 162,303.00 |
| Jun 30, 2016 | 314,349.00 |
| Mar 31, 2016 | 290,142.00 |
| Dec 31, 2015 | 201,848.00 |
| Sep 30, 2015 | 308,828.00 |
| Jun 30, 2015 | 223,329.00 |
| Mar 31, 2015 | 166,738.00 |
| Dec 31, 2014 | 164,874.00 |
| Sep 30, 2014 | 285,520.00 |
API Access
UMeWorld Operating Expenses 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=operating-expenses&ticker=UMEW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=UMEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();