Agape ATP (ATPC) Price to Book (2023 - 2026)
Agape ATP's (ATPC) Price to Book was 0.12 for Q1 2026, down 99.5% from 25.62 a year earlier and down 37.6% from the prior quarter.
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Analysis
Agape ATP (ATPC) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Price to Book at Agape ATP was 0.19, down 99.8% from FY2024.
- By year, Price to Book came in at 119.03 in FY2024 (-78.8%) and 562.31 in FY2023.
- The Q1 2026 figure ranks as the lowest quarterly Price to Book in data going back to Q3 2023.
- Year over year, Price to Book gained in 1 of the last seven quarters, with an average decline of 73.2%.
- Per Business Quant data, the three quarters before Q1 2026 came in at 0.19 (Q4 2025), 138.52 (Q3 2025) and 141.00 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Agape ATP | 2.05 Mn | 2.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.12 |
| Dec 31, 2025 | 0.19 |
| Sep 30, 2025 | 138.52 |
| Jun 30, 2025 | 141.00 |
| Mar 31, 2025 | 25.62 |
| Dec 31, 2024 | 119.03 |
| Sep 30, 2024 | 135.95 |
| Jun 30, 2024 | 251.17 |
| Mar 31, 2024 | 345.48 |
| Dec 31, 2023 | 562.31 |
| Sep 30, 2023 | 61,125.72 |
API Access
Agape ATP Price to Book 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-book&ticker=ATPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=ATPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();