UMeWorld (UMEW) Retained Earnings (2011 - 2025)
UMeWorld's Retained Earnings was -$32.07 million in fiscal Q1 2026 (quarter ended Dec 31, 2025).
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Analysis
UMeWorld (UMEW) Retained Earnings (2011 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Retained Earnings at UMeWorld came in at -$31.93 million.
- In earlier fiscal years, Retained Earnings was -$31.67 million in FY2024, -$31.45 million in FY2023, -$31.14 million in FY2022 and -$30.99 million in FY2021.
- The fiscal Q1 2026 figure marks the lowest quarterly Retained Earnings in data going back to fiscal Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 37.23 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 5.81 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -9.29 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 20.58 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 4.84 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 103.60 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 7.43 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | -1.18 Bn |
| 10 | UMeWorld | 132.00 Mn | 131.60 Mn | 4,542.00 | -32.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -32.07 Mn |
| Sep 30, 2025 | -31.93 Mn |
| Sep 30, 2024 | -31.67 Mn |
| Sep 30, 2023 | -31.45 Mn |
| Sep 30, 2022 | -31.14 Mn |
| Sep 30, 2021 | -30.99 Mn |
| Sep 30, 2020 | -30.89 Mn |
| Sep 30, 2019 | -30.74 Mn |
| Sep 30, 2018 | -30.62 Mn |
| Sep 30, 2017 | -29.77 Mn |
| Jun 30, 2017 | -30.06 Mn |
| Mar 31, 2017 | -29.69 Mn |
| Dec 31, 2016 | -29.28 Mn |
| Sep 30, 2016 | -28.45 Mn |
| Jun 30, 2016 | -28.39 Mn |
| Mar 31, 2016 | -27.79 Mn |
| Dec 31, 2015 | -27.39 Mn |
| Sep 30, 2015 | -27.15 Mn |
| Jun 30, 2015 | -26.77 Mn |
| Mar 31, 2015 | -26.29 Mn |
API Access
UMeWorld Retained Earnings 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=retained-earnings&ticker=UMEW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=UMEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();