Agape ATP (ATPC) Change in Accured Expenses (2017 - 2026)
Agape ATP's Change in Accured Expenses was -$122,454 in Q1 2026, compared with -$163,808 a year earlier.
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Analysis
Agape ATP (ATPC) Change in Accured Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agape ATP's Change in Accured Expenses was $153,905 through Mar 31, 2026, up 375.6% year-over-year; for FY2025, it was $112,551, up 662.5% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of -19.7% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $14,761 in FY2024 (+323.6%), $3,485 in FY2023, -$119,963 in FY2022 and $226,651 in FY2021 (-32.7%).
- Quarterly Change in Accured Expenses has moved between -$181,410 (Q1 2024) and $349,733 (Q4 2021) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 47.2%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q4 2023 (growth of 209.3%); the worst was Q3 2021 (a decline of 94.6%).
- Per Business Quant data, ATPC's Change in Accured Expenses in the three quarters before Q1 2026 was $212,061 (Q4 2025), $31,746 (Q3 2025) and $32,552 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 135.00 Mn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | - |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 197.00 Mn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 26.10 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 50.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | -2.43 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 50.00 Mn |
| 10 | Agape ATP | 2.07 Mn | 2.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -122,454.00 |
| Dec 31, 2025 | 212,061.00 |
| Sep 30, 2025 | 31,746.00 |
| Jun 30, 2025 | 32,552.00 |
| Mar 31, 2025 | -163,808.00 |
| Dec 31, 2024 | 194,614.00 |
| Sep 30, 2024 | 23,539.00 |
| Jun 30, 2024 | -21,982.00 |
| Mar 31, 2024 | -181,410.00 |
| Dec 31, 2023 | 223,161.00 |
| Sep 30, 2023 | 9,136.00 |
| Jun 30, 2023 | -103,049.00 |
| Mar 31, 2023 | -125,763.00 |
| Dec 31, 2022 | 72,145.00 |
| Sep 30, 2022 | -25,971.00 |
| Jun 30, 2022 | -46,846.00 |
| Mar 31, 2022 | -119,291.00 |
| Dec 31, 2021 | 349,733.00 |
| Sep 30, 2021 | 6,273.00 |
| Jun 30, 2021 | -61,516.00 |
API Access
Agape ATP Change in Accured Expenses 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=change-in-accured-expenses&ticker=ATPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=ATPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();