Agape ATP (ATPC) Return on Sales [ROS] (2017 - 2026)
Agape ATP's Return on Sales [ROS] came in at -247.53% for Q1 2026, up 1.72 percentage points from -249.24% a year earlier and up 77.67 percentage points from the prior quarter.
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Analysis
Agape ATP (ATPC) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Agape ATP reported Return on Sales [ROS] of -212.98%, down 14.22 percentage points year-over-year; for FY2025, it was -213.65%, down 19.11 percentage points from FY2024.
- Return on Sales [ROS] has declined in each of the last three years, with a five-year change of -209.07 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -194.55% in FY2024 (-44.55 pp), -150.00% in FY2023 (-67.41 pp), -82.59% in FY2022 (+100.17 pp) and -182.76% in FY2021 (-178.18 pp).
- The five-year range for quarterly Return on Sales [ROS] is -353.18% (Q4 2021) to -29.12% (Q3 2022).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -22.17 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2022 (a gain of 156.40 percentage points), and the weakest in Q4 2021 (a drop of 264.86 percentage points).
- Business Quant data shows ATPC's Return on Sales [ROS] at -325.20% (Q4 2025), -162.26% (Q3 2025) and -136.83% (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | 18.95% |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 17.67% |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | -1.08% |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | 14.62% |
| 10 | Agape ATP | 2.02 Mn | 2.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -247.53% |
| Dec 31, 2025 | -325.20% |
| Sep 30, 2025 | -162.26% |
| Jun 30, 2025 | -136.83% |
| Mar 31, 2025 | -249.24% |
| Dec 31, 2024 | -235.73% |
| Sep 30, 2024 | -165.45% |
| Jun 30, 2024 | -144.90% |
| Mar 31, 2024 | -227.07% |
| Dec 31, 2023 | -259.82% |
| Sep 30, 2023 | -89.24% |
| Jun 30, 2023 | -118.29% |
| Mar 31, 2023 | -119.20% |
| Dec 31, 2022 | -196.78% |
| Sep 30, 2022 | -29.12% |
| Jun 30, 2022 | -77.18% |
| Mar 31, 2022 | -66.57% |
| Dec 31, 2021 | -353.18% |
| Sep 30, 2021 | -181.33% |
| Jun 30, 2021 | -134.63% |
API Access
Agape ATP 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=ATPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ATPC", "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=ATPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();