UMeWorld (UMEW) Retained Earnings (2009 - 2026)
UMeWorld's Retained Earnings was -$32.17 million in fiscal Q2 2026 (quarter ended Mar 31, 2026).
Analysis
UMeWorld (UMEW) Retained Earnings (2009 - 2026) 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 Q2 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 | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 37.88 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 6.11 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | -8.75 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 20.58 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 103.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 4.81 Bn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 7.43 Bn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | -1.18 Bn |
| 10 | UMeWorld | 98.68 Mn | 98.24 Mn | 42,817.00 | -32.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.27 Mn |
| Mar 31, 2026 | -32.17 Mn |
| 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 |
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_KEY
import 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();