Agape ATP (ATPC) Shares Outstanding (2017 - 2026)
Agape ATP (ATPC) posted Weighted Average Shares Outstanding of 1 million for Q2 2026, down 98.0% from 50.01 million a year earlier and unchanged from the prior quarter.
Agape ATP (ATPC) Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025, Agape ATP's Weighted Average Shares Outstanding came in at 801,081, down 79.4% from FY2024.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of -46.8% (FY2020 to FY2025).
- In prior years, Agape ATP's Weighted Average Shares Outstanding was 3.89 million in FY2024 (+2.7%), 3.79 million in FY2023 (-13.7%), 4.39 million in FY2022 (-76.7%) and 18.81 million in FY2021 (unchanged).
- Quarterly Weighted Average Shares Outstanding has run from a low of 801,081 in Q4 2025 to a high of 50.01 million in Q3 2025 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined in each of the last three quarters, with an average decline of 18.6% over the last six quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q1 2025, with growth of 150.0%; the weakest was Q2 2026, with a decline of 98.0%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 1 million (Q1 2026), 801,081 (Q4 2025) and 50.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 2.32 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 796.90 Mn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 363.30 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.92 Bn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 332.60 Mn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 237.10 Mn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 121.62 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 59.03 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 210.80 Mn |
| 10 | Agape ATP | 1.45 Mn | 1.45 Mn | - | 1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 801,081.00 |
| Sep 30, 2025 | 50.01 Mn |
| Jun 30, 2025 | 50.01 Mn |
| Mar 31, 2025 | 9.62 Mn |
| Dec 31, 2024 | 3.89 Mn |
| Sep 30, 2024 | 3.88 Mn |
| Jun 30, 2024 | 3.85 Mn |
| Mar 31, 2024 | 3.85 Mn |
| Dec 31, 2023 | 3.79 Mn |
| Sep 30, 2023 | 3.77 Mn |
| Jun 30, 2023 | 3.77 Mn |
| Mar 31, 2023 | 3.77 Mn |
| Dec 31, 2022 | 4.39 Mn |
| Sep 30, 2022 | 3.77 Mn |
| Jun 30, 2022 | 3.77 Mn |
| Mar 31, 2022 | 6.16 Mn |
| Dec 31, 2021 | 18.81 Mn |
| Sep 30, 2021 | 18.82 Mn |
Agape ATP Shares Outstanding 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=shares-outstanding&ticker=ATPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=ATPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();