APPlife Digital Solutions (ALDS) Total Non-Current Liabilities (2018 - 2026)
APPlife Digital Solutions (ALDS) recorded Total Non-Current Liabilities of $4.03 million in fiscal Q3 2026 (quarter ended Mar 31, 2026), up 8.6% from the prior quarter.
APPlife Digital Solutions (ALDS) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), APPlife Digital Solutions reported Total Non-Current Liabilities of $2.84 million.
- Annual Total Non-Current Liabilities has a four-year compound annual growth rate of 37.7% (FY2021 to FY2025).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $789,985 in FY2021.
- Per Business Quant, the preceding three fiscal quarters came in at $3.71 million (Q2 2026), $3.2 million (Q1 2026) and $2.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 22.81 Bn |
| 10 | APPlife Digital Solutions | 50.85 Mn | 50.54 Mn | 130,124.00 | 4.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.03 Mn |
| Dec 31, 2025 | 3.71 Mn |
| Sep 30, 2025 | 3.20 Mn |
| Jun 30, 2025 | 2.84 Mn |
| Jun 30, 2021 | 789,985.00 |
| Jun 30, 2019 | 306,930.00 |
| Jun 30, 2018 | 209,077.00 |
APPlife Digital Solutions 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=ALDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ALDS", "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=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();