Adapti (ADTI) Total Non-Current Liabilities (2024 - 2025)
Adapti (ADTI) reported Total Non-Current Liabilities of $12.6 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), compared with $7,000 a year earlier and up 1.2% from the prior quarter.
Adapti (ADTI) Total Non-Current Liabilities (2024 - 2025) Analysis & Trends
At the end of FY2025 (ended Mar 31, 2025), Adapti posted Total Non-Current Liabilities of $7,000, unchanged from FY2024.
- By fiscal year, Total Non-Current Liabilities came in at $7,000 in FY2024.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $12.45 million (Q2 2026), $7,000 (Q1 2026) and $7,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 72.84 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 14.09 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 9.67 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 15.94 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 13.53 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 4.53 Bn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 7.30 Bn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 1.27 Bn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 2.65 Bn |
| 10 | Adapti | 80,987.29 | -1.58 Mn | 60,753.00 | 12.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 12.60 Mn |
| Sep 30, 2025 | 12.45 Mn |
| Jun 30, 2025 | 7,000.00 |
| Mar 31, 2025 | 7,000.00 |
| Dec 31, 2024 | 7,000.00 |
| Mar 31, 2024 | 7,000.00 |
Adapti Total Non-Current 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-non-current-liabilities&ticker=ADTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ADTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();