Adapti (ADTI) Change in Accrued Expenses (2024 - 2025)
Adapti (ADTI) recorded Change in Accrued Expenses of -$174,302 in fiscal Q3 2026 (quarter ended Dec 31, 2025), compared with $74,499 a year earlier.
Adapti (ADTI) Change in Accrued Expenses (2024 - 2025) Analysis & Trends
On a TTM basis, Adapti's Change in Accrued Expenses came in at $782,084 as of Dec 31, 2025, down 15.7% year-over-year; for FY2025 (ended Mar 31, 2025), it was $385,267, down 12.3% from FY2024.
- Across earlier fiscal years, Change in Accrued Expenses came in at $439,483 in FY2024.
- The fiscal Q3 2026 figure is the lowest quarterly Change in Accrued Expenses in data going back to fiscal Q4 2024.
- Per Business Quant, the preceding three fiscal quarters came in at $623,601 (Q2 2026), $167,642 (Q1 2026) and $165,143 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | - |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 130.00 Mn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | - |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 189.00 Mn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 78.80 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | -68.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 42.13 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 8.00 Mn |
| 10 | Adapti | 80,987.29 | -1.58 Mn | 60,753.00 | -174,302.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -174,302.00 |
| Sep 30, 2025 | 623,601.00 |
| Jun 30, 2025 | 167,642.00 |
| Mar 31, 2025 | 165,143.00 |
| Dec 31, 2024 | 74,499.00 |
| Sep 30, 2024 | -26,728.00 |
| Jun 30, 2024 | 172,353.00 |
| Mar 31, 2024 | 707,627.00 |
Adapti Change in Accrued 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=ADTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ADTI", "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=ADTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();