AiXin Life International (AIXN) Operating Expenses (2011 - 2025)
AiXin Life International (AIXN) posted Operating Expenses of $1.01 million for Q4 2025, down 44.0% from $1.8 million a year earlier but up 55.3% from the prior quarter.
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Analysis
AiXin Life International (AIXN) Operating Expenses (2011 - 2025) Analysis & Trends
For FY2025, AiXin Life International's Operating Expenses came in at $4.01 million, down 37.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- In prior years, AiXin Life International's Operating Expenses was $6.41 million in FY2024 (-2.7%), $6.59 million in FY2023 (+24.8%), $5.28 million in FY2022 (+70.6%) and $3.09 million in FY2021 (+86.7%).
- Quarterly Operating Expenses has run from a low of $384,264 in Q2 2021 to a high of $1.9 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last six quarters, with an average decline of 19.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 201.9%; the weakest was Q3 2025, with a decline of 57.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $649,188 (Q3 2025), $1.27 million (Q2 2025) and $1.08 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | AiXin Life International | 6.50 Mn | 6.37 Mn | 215,023.00 | 1.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.01 Mn |
| Sep 30, 2025 | 649,188.00 |
| Jun 30, 2025 | 1.27 Mn |
| Mar 31, 2025 | 1.08 Mn |
| Dec 31, 2024 | 1.80 Mn |
| Sep 30, 2024 | 1.54 Mn |
| Jun 30, 2024 | 1.60 Mn |
| Mar 31, 2024 | 1.47 Mn |
| Dec 31, 2023 | 1.90 Mn |
| Sep 30, 2023 | 1.80 Mn |
| Jun 30, 2023 | 1.58 Mn |
| Mar 31, 2023 | 1.31 Mn |
| Dec 31, 2022 | 1.72 Mn |
| Sep 30, 2022 | 1.21 Mn |
| Jun 30, 2022 | 1.16 Mn |
| Mar 31, 2022 | 1.19 Mn |
| Dec 31, 2021 | 1.33 Mn |
| Sep 30, 2021 | 906,419.00 |
| Jun 30, 2021 | 384,264.00 |
| Mar 31, 2021 | 475,988.00 |
API Access
AiXin Life International Operating 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=operating-expenses&ticker=AIXN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AIXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();