APPlife Digital Solutions (ALDS) Total Liabilities (2018 - 2026)
APPlife Digital Solutions' Total Liabilities came in at $5.33 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 46.2% from $3.64 million a year earlier and up 10.3% from the prior quarter.
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Analysis
APPlife Digital Solutions (ALDS) Total Liabilities (2018 - 2026) Analysis & Trends
Going back to fiscal Q4 2018, APPlife Digital Solutions' Total Liabilities data covers 24 quarters.
- Total Liabilities carries a five-year compound annual growth rate of 46.9% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $3.64 million in FY2025, $161,691 in FY2024 (-89.9%), $1.59 million in FY2023 (+47.6%) and $1.08 million in FY2022 (+38.9%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q4 2018.
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 66.8% over the last seven quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2026 (growth of 225.0%), and the weakest in fiscal Q4 2024 (a decline of 89.9%).
- Business Quant data shows ALDS's Total Liabilities at $4.83 million (Q3 2026), $4.54 million (Q2 2026) and $3.48 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 9.41 Bn |
| 10 | APPlife Digital Solutions | 4.58 Mn | 4.35 Mn | 38,288.00 | 5.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.33 Mn |
| Mar 31, 2026 | 4.83 Mn |
| Dec 31, 2025 | 4.54 Mn |
| Sep 30, 2025 | 3.48 Mn |
| Jun 30, 2025 | 3.64 Mn |
| Mar 31, 2025 | 2.41 Mn |
| Dec 31, 2024 | 2.52 Mn |
| Sep 30, 2024 | 1.07 Mn |
| Jun 30, 2024 | 161,691.00 |
| Mar 31, 2024 | 2.06 Mn |
| Dec 31, 2023 | 1.93 Mn |
| Sep 30, 2023 | 1.58 Mn |
| Jun 30, 2023 | 1.59 Mn |
| Mar 31, 2023 | 1.23 Mn |
| Dec 31, 2022 | 1.18 Mn |
| Sep 30, 2022 | 1.28 Mn |
| Jun 30, 2022 | 1.08 Mn |
| Mar 31, 2022 | 2.05 Mn |
| Dec 31, 2021 | 1.75 Mn |
| Sep 30, 2021 | 1.86 Mn |
API Access
APPlife Digital Solutions 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=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();