Jowell Global (JWEL) Retained Earnings (2019 - 2025)
Jowell Global (JWEL) recorded Retained Earnings of -$40.28 million in Q4 2025, compared with -$34 million a year earlier.
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Analysis
Jowell Global (JWEL) Retained Earnings (2019 - 2025) Analysis & Trends
Starting with Q4 2019, Jowell Global's Retained Earnings history includes 8 quarters.
- Across earlier years, Retained Earnings came in at -$34 million in FY2024, -$26.04 million in FY2023 and -$14.57 million in FY2022.
- The Q4 2025 figure is the lowest quarterly Retained Earnings in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 387.18 Bn | 342.94 Bn | 10.28 Bn | 135.85 Bn |
| 2 | Colgate Palmolive | 77.71 Bn | 72.44 Bn | 3.30 Bn | 27.09 Bn |
| 3 | Estee Lauder Companies | 39.01 Bn | 27.08 Bn | 2.74 Bn | 11.34 Bn |
| 4 | Kenvue | 38.07 Bn | 33.69 Bn | 2.30 Bn | -70.00 Mn |
| 5 | Kimberly Clark | 37.24 Bn | 34.44 Bn | 1.60 Bn | 9.77 Bn |
| 6 | Church & Dwight | 25.71 Bn | 24.24 Bn | 693.90 Mn | 7.04 Bn |
| 7 | Clorox | 10.75 Bn | 9.02 Bn | 804.00 Mn | 386.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn | -89.33 Mn |
| 9 | Reynolds Consumer Products | 4.95 Bn | 4.61 Bn | 245.00 Mn | 853.00 Mn |
| 10 | Jowell Global | 4.68 Mn | -7.57 Mn | - | -40.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -40.28 Mn |
| Jun 30, 2025 | -35.27 Mn |
| Dec 31, 2024 | -34.00 Mn |
| Jun 30, 2024 | -29.77 Mn |
| Dec 31, 2023 | -26.04 Mn |
| Jun 30, 2023 | -21.66 Mn |
| Dec 31, 2022 | -14.57 Mn |
| Dec 31, 2021 | -3.04 Mn |
| Dec 31, 2020 | 3.35 Mn |
| Dec 31, 2019 | 66,043.00 |
API Access
Jowell Global 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=JWEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "JWEL", "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=JWEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();