Agape ATP (ATPC) Selling, General & Administrative (2017 - 2026)
Agape ATP's Selling, General & Administrative came in at $794,712 for Q1 2026, down 1.4% from $805,693 a year earlier and down 45.4% from the prior quarter.
Agape ATP (ATPC) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Agape ATP reported Selling, General & Administrative of $3.77 million, up 22.6% year-over-year; for FY2025, it came in at $3.78 million, up 20.6% from FY2024.
- Selling, General & Administrative has increased in each of the last six years, with a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $3.13 million in FY2024 (+32.5%), $2.37 million in FY2023 (+20.9%), $1.96 million in FY2022 (+12.1%) and $1.75 million in FY2021 (+7.3%).
- The five-year range for quarterly Selling, General & Administrative is $361,862 (Q2 2021) to $1.45 million (Q4 2025).
- Year-over-year, Selling, General & Administrative increased in six of the last eight quarters, with growth averaging 20.8%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q1 2023 (growth of 57.3%), and the weakest in Q2 2021 (a decline of 29.7%).
- Business Quant data shows ATPC's Selling, General & Administrative at $1.45 million (Q4 2025), $751,415 (Q3 2025) and $767,343 (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 1.54 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 2.48 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 | 252.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Agape ATP | 2.05 Mn | 2.05 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 361,862.00 |
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_KEY
import 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();