Jowell Global (JWEL) Accumulated Expenses (2019 - 2025)
Jowell Global (JWEL) recorded Accumulated Expenses of $1.16 million in Q4 2025, up 19.8% from $967,405 a year earlier.
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Analysis
Jowell Global (JWEL) Accumulated Expenses (2019 - 2025) Analysis & Trends
Starting with Q4 2019, Jowell Global's Accumulated Expenses history includes 8 quarters.
- Annual Accumulated Expenses has a three-year compound annual growth rate of 1.6% (FY2022 to FY2025).
- Across earlier years, Accumulated Expenses came in at $967,405 in FY2024 (+23.7%), $782,048 in FY2023 (-29.2%) and $1.11 million in FY2022.
- The Q4 2025 figure is the highest quarterly Accumulated Expenses since Q4 2019.
- On a year-over-year basis, Accumulated Expenses rose in three of the last four quarters, with growth averaging 16.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn |
| 10 | Jowell Global | 5.68 Mn | -6.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.16 Mn |
| Jun 30, 2025 | 684,473.00 |
| Dec 31, 2024 | 967,405.00 |
| Jun 30, 2024 | 975,072.00 |
| Dec 31, 2023 | 782,048.00 |
| Jun 30, 2023 | 640,477.00 |
| Dec 31, 2022 | 1.11 Mn |
| Dec 31, 2019 | 1.80 Mn |
API Access
Jowell Global Accumulated 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=accumulated-expenses&ticker=JWEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=JWEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();