AiXin Life International (AIXN) Total Debt (2021 - 2025)
AiXin Life International's Total Debt was $85,799 in Q4 2025.
Analysis
AiXin Life International (AIXN) Total Debt (2021 - 2025) Analysis & Trends
From Q3 2021 onward, AiXin Life International has reported Total Debt for 14 quarters.
- Total Debt shows a four-year compound annual growth rate of -2.3% (FY2021 to FY2025).
- In earlier years, Total Debt was $84,508 in FY2023 (-2.9%), $86,992 in FY2022 (-7.6%) and $94,153 in FY2021.
- The Q4 2025 figure marks the highest quarterly Total Debt since Q1 2023.
- The best year-over-year quarter for Total Debt over five years was Q3 2024 (growth of 4.0%); the worst was Q3 2022 (a decline of 81.8%).
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 | AiXin Life International | 6.50 Mn | 6.37 Mn | 215,023.00 | 85,799.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 85,799.00 |
| Sep 30, 2024 | 85,499.00 |
| Jun 30, 2024 | 82,563.00 |
| Mar 31, 2024 | 83,099.00 |
| Dec 31, 2023 | 84,508.00 |
| Sep 30, 2023 | 82,237.00 |
| Jun 30, 2023 | 82,744.00 |
| Mar 31, 2023 | 87,367.00 |
| Dec 31, 2022 | 86,992.00 |
| Sep 30, 2022 | 84,347.00 |
| Jun 30, 2022 | 89,578.00 |
| Mar 31, 2022 | 94,648.00 |
| Dec 31, 2021 | 94,153.00 |
| Sep 30, 2021 | 463,229.00 |
API Access
AiXin Life International 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=AIXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "AIXN", "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=AIXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();