AiXin Life International (AIXN) Return on Sales [ROS] (2017 - 2025)
AiXin Life International's Return on Sales [ROS] came in at -207.59% for Q4 2025, down 51.90 percentage points from -155.69% a year earlier and down 92.61 percentage points from the prior quarter.
AiXin Life International (AIXN) Return on Sales [ROS] (2017 - 2025) Analysis & Trends
For FY2025, AiXin Life International's Return on Sales [ROS] was -169.23%, down 101.55 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -201.64 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -67.68% in FY2024 (-6.58 pp), -61.10% in FY2023 (+33.77 pp), -94.86% in FY2022 (-93.99 pp) and -0.88% in FY2021 (-33.29 pp).
- The Q4 2025 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2019.
- Year-over-year, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -47.58 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 168.54 percentage points), and the weakest in Q2 2022 (a drop of 230.58 percentage points).
- Business Quant data shows AIXN's Return on Sales [ROS] at -114.98% (Q3 2025), -175.87% (Q2 2025) and -171.12% (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 18.95% |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | -1.08% |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 17.67% |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 14.62% |
| 10 | AiXin Life International | 6.50 Mn | 6.37 Mn | 215,023.00 | -207.59% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -207.59% |
| Sep 30, 2025 | -114.98% |
| Jun 30, 2025 | -175.87% |
| Mar 31, 2025 | -171.12% |
| Dec 31, 2024 | -155.69% |
| Sep 30, 2024 | -64.35% |
| Jun 30, 2024 | -20.17% |
| Mar 31, 2024 | -72.95% |
| Dec 31, 2023 | -139.73% |
| Sep 30, 2023 | -68.91% |
| Jun 30, 2023 | -7.10% |
| Mar 31, 2023 | -73.14% |
| Dec 31, 2022 | -43.82% |
| Sep 30, 2022 | -79.36% |
| Jun 30, 2022 | -175.64% |
| Mar 31, 2022 | -184.43% |
| Dec 31, 2021 | -88.85% |
| Sep 30, 2021 | -11.50% |
| Jun 30, 2021 | 54.94% |
| Mar 31, 2021 | 31.82% |
AiXin Life International Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AIXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AIXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();