Adapti (ADTI) Total Liabilities (2009 - 2025)
Adapti (ADTI) recorded Total Liabilities of $18.29 million in fiscal Q3 2026 (quarter ended Dec 31, 2025), compared with $1.1 million a year earlier and down 1.5% from the prior quarter.
Adapti (ADTI) Total Liabilities (2009 - 2025) Analysis & Trends
At the end of FY2025 (ended Mar 31, 2025), Adapti reported Total Liabilities of $1.04 million, up 110.6% from FY2024.
- Across earlier fiscal years, Total Liabilities came in at $493,366 in FY2024.
- Quarterly Total Liabilities has ranged from $493,366 in fiscal Q4 2024 to $18.58 million in fiscal Q2 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $18.58 million (Q2 2026), $1.42 million (Q1 2026) and $1.04 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 77.80 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 16.10 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 15.93 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 16.51 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 14.65 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 4.85 Bn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 7.71 Bn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 1.34 Bn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 2.78 Bn |
| 10 | Adapti | 80,987.29 | -1.58 Mn | 60,753.00 | 18.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 18.29 Mn |
| Sep 30, 2025 | 18.58 Mn |
| Jun 30, 2025 | 1.42 Mn |
| Mar 31, 2025 | 1.04 Mn |
| Dec 31, 2024 | 1.10 Mn |
| Mar 31, 2024 | 493,366.00 |
| Sep 30, 2010 | 33,464.00 |
| Mar 31, 2010 | 26,214.00 |
| Dec 31, 2009 | 20,584.00 |
| Mar 31, 2009 | 3,750.00 |
Adapti 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=ADTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ADTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();