Jowell Global (JWEL) Prepaid Assets (2019 - 2025)
Jowell Global's Prepaid Assets came in at $1.31 million for Q4 2025, down 27.7% from $1.81 million a year earlier.
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Analysis
Jowell Global (JWEL) Prepaid Assets (2019 - 2025) Analysis & Trends
Going back to Q4 2019, Jowell Global's Prepaid Assets data covers 8 quarters.
- Prepaid Assets carries a three-year compound annual growth rate of -7.8% (FY2022 to FY2025).
- Going back by year, Prepaid Assets was $1.81 million in FY2024 (+30.6%), $1.38 million in FY2023 (-17.0%) and $1.67 million in FY2022.
- The five-year range for quarterly Prepaid Assets is $1.08 million (Q2 2024) to $1.85 million (Q2 2023).
- Year-over-year, Prepaid Assets increased in two of the last four quarters, with an average decline of 6.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Jowell Global | 6.01 Mn | -6.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.31 Mn |
| Jun 30, 2025 | 1.21 Mn |
| Dec 31, 2024 | 1.81 Mn |
| Jun 30, 2024 | 1.08 Mn |
| Dec 31, 2023 | 1.38 Mn |
| Jun 30, 2023 | 1.85 Mn |
| Dec 31, 2022 | 1.67 Mn |
| Dec 31, 2019 | 454,640.00 |
API Access
Jowell Global Prepaid Assets 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=prepaid-assets&ticker=JWEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=JWEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();