Agape ATP (ATPC) Selling, General & Administrative (2017 - 2026)
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Analysis
Agape ATP (ATPC) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 2.11 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 2.37 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.57 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 267.30 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 290.00 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 300.12 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 106.00 Mn |
| 10 | Agape ATP | 67.51 Mn | 66.92 Mn | 11,770.00 | 529,033.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 529,033.00 |
| Mar 31, 2026 | 794,712.00 |
| Dec 31, 2025 | 1.45 Mn |
| Sep 30, 2025 | 751,415.00 |
| Jun 30, 2025 | 767,343.00 |
| Mar 31, 2025 | 805,693.00 |
| Dec 31, 2024 | 981,985.00 |
| Sep 30, 2024 | 683,819.00 |
| Jun 30, 2024 | 601,803.00 |
| Mar 31, 2024 | 867,266.00 |
| Dec 31, 2023 | 811,774.00 |
| Sep 30, 2023 | 488,519.00 |
| Jun 30, 2023 | 469,469.00 |
| Mar 31, 2023 | 596,253.00 |
| Dec 31, 2022 | 670,592.00 |
| Sep 30, 2022 | 456,027.00 |
| Jun 30, 2022 | 451,363.00 |
| Mar 31, 2022 | 379,041.00 |
| Dec 31, 2021 | 651,692.00 |
| Sep 30, 2021 | 369,946.00 |
API Access
Agape ATP Selling, General & Administrative 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=selling-general-and-administrative&ticker=ATPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ATPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();