Agape ATP (ATPC) Price to Sales (2023 - 2026)
Agape ATP's (ATPC) Price to Sales stood at 1.74 in Q1 2026, down 99.6% from 476.17 a year earlier and down 38.0% from the prior quarter.
Analysis
Agape ATP (ATPC) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Agape ATP's Price to Sales came in at 2.81, down 98.4% from FY2024.
- Across earlier years, Price to Sales came in at 173.60 in FY2024 (-89.9%) and 1721.35 in FY2023.
- The Q1 2026 figure is the lowest quarterly Price to Sales in data going back to Q3 2023.
- On a year-over-year basis, Price to Sales rose in two of the last seven quarters, with growth averaging 74.0%.
- Per Business Quant, the preceding three quarters came in at 2.81 (Q4 2025), 2130.00 (Q3 2025) and 2283.03 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 383.82 Bn | 335.63 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 77.64 Bn | 72.70 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 39.02 Bn | 27.10 Bn | 2.74 Bn |
| 4 | Kenvue | 38.19 Bn | 33.81 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 37.36 Bn | 34.68 Bn | 1.60 Bn |
| 6 | Church & Dwight | 25.82 Bn | 24.35 Bn | 693.90 Mn |
| 7 | Clorox | 10.72 Bn | 9.16 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.98 Bn | 4.64 Bn | 245.00 Mn |
| 10 | Agape ATP | 1.42 Mn | 1.42 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.74 |
| Dec 31, 2025 | 2.81 |
| Sep 30, 2025 | 2,130.00 |
| Jun 30, 2025 | 2,283.03 |
| Mar 31, 2025 | 476.17 |
| Dec 31, 2024 | 173.60 |
| Sep 30, 2024 | 277.48 |
| Jun 30, 2024 | 592.09 |
| Mar 31, 2024 | 927.67 |
| Dec 31, 2023 | 1,721.36 |
| Sep 30, 2023 | 18,505.79 |
API Access
Agape ATP Price to Sales 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=price-to-sales&ticker=ATPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=ATPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();