Agape ATP (ATPC) Total Liabilities (2017 - 2026)
Agape ATP (ATPC) posted Total Liabilities of $2.79 million for Q1 2026, up 142.1% from $1.15 million a year earlier and up 30.9% from the prior quarter.
Powered by 
Analysis
Agape ATP (ATPC) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Agape ATP's Total Liabilities came in at $2.13 million, up 62.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In prior years, Agape ATP's Total Liabilities was $1.31 million in FY2024 (-3.9%), $1.36 million in FY2023 (+10.9%), $1.23 million in FY2022 (-12.9%) and $1.41 million in FY2021 (+9.8%).
- The Q1 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 31.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 142.1%; the weakest was Q2 2021, with a decline of 46.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.13 million (Q4 2025), $1.56 million (Q3 2025) and $1.31 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 15.96 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 16.18 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Agape ATP | 2.20 Mn | 2.20 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.79 Mn |
| Dec 31, 2025 | 2.13 Mn |
| Sep 30, 2025 | 1.56 Mn |
| Jun 30, 2025 | 1.31 Mn |
| Mar 31, 2025 | 1.15 Mn |
| Dec 31, 2024 | 1.31 Mn |
| Sep 30, 2024 | 1.20 Mn |
| Jun 30, 2024 | 1.02 Mn |
| Mar 31, 2024 | 1.09 Mn |
| Dec 31, 2023 | 1.36 Mn |
| Sep 30, 2023 | 1.22 Mn |
| Jun 30, 2023 | 1.15 Mn |
| Mar 31, 2023 | 1.05 Mn |
| Dec 31, 2022 | 1.23 Mn |
| Sep 30, 2022 | 850,429.00 |
| Jun 30, 2022 | 953,256.00 |
| Mar 31, 2022 | 1.13 Mn |
| Dec 31, 2021 | 1.41 Mn |
| Sep 30, 2021 | 983,906.00 |
| Jun 30, 2021 | 1.02 Mn |
API Access
Agape ATP Total Liabilities 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=total-liabilities&ticker=ATPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ATPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();