Jowell Global (JWEL) Total Debt (2019 - 2025)
Jowell Global's Total Debt came in at $3.58 million for Q4 2025, up 119.9% from $1.63 million a year earlier.
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Analysis
Jowell Global (JWEL) Total Debt (2019 - 2025) Analysis & Trends
Going back to Q4 2019, Jowell Global's Total Debt data covers 9 quarters.
- Total Debt carries a four-year compound annual growth rate of 7.3% (FY2021 to FY2025).
- Going back by year, Total Debt was $1.63 million in FY2024 (-14.1%), $1.9 million in FY2023 (-48.0%), $3.64 million in FY2022 (+34.9%) and $2.7 million in FY2021.
- The Q4 2025 figure represents the highest quarterly Total Debt since Q4 2022.
- Year-over-year, Total Debt increased in three of the last four quarters, with growth averaging 31.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 34.14 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 7.86 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 7.31 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 8.48 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 6.52 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 2.26 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 5.07 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 832.00 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 1.53 Bn |
| 10 | Jowell Global | 6.06 Mn | -6.19 Mn | - | 3.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.58 Mn |
| Jun 30, 2025 | 2.01 Mn |
| Dec 31, 2024 | 1.63 Mn |
| Jun 30, 2024 | 1.89 Mn |
| Dec 31, 2023 | 1.90 Mn |
| Jun 30, 2023 | 1.63 Mn |
| Dec 31, 2022 | 3.64 Mn |
| Dec 31, 2021 | 2.70 Mn |
| Dec 31, 2019 | 61,425.00 |
API Access
Jowell Global Total Debt 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=total-debt&ticker=JWEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=JWEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();