APPlife Digital Solutions (ALDS) Non-Current Debt (2021 - 2024)
APPlife Digital Solutions (ALDS) recorded Non-Current Debt of $24,777 in fiscal Q3 2025 (quarter ended Mar 31, 2025), down 17.4% from $30,000 a year earlier.
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Analysis
APPlife Digital Solutions (ALDS) Non-Current Debt (2021 - 2024) Analysis & Trends
On a TTM basis, APPlife Digital Solutions' Non-Current Debt came in at $22,777 as of Mar 31, 2025, down 54.4% year-over-year; for FY2024 (ended Jun 30, 2024), it came in at $67,500.
- Across earlier fiscal years, Non-Current Debt came in at $1,000 in FY2023.
- Quarterly Non-Current Debt has ranged from -$14,500 in fiscal Q2 2025 to $30,000 in fiscal Q3 2024 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at -$14,500 (Q2 2025), -$5,000 (Q1 2025) and $17,500 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 43.95 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.87 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 35.20 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 777.05 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 14.22 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 7.01 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 4.85 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 9.02 Bn |
| 10 | APPlife Digital Solutions | 50.85 Mn | 50.54 Mn | 130,124.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 124,510.00 |
| Dec 31, 2023 | 148,108.00 |
| Sep 30, 2023 | 232,880.00 |
| Jun 30, 2023 | 151,777.00 |
| Mar 31, 2023 | 1,000.00 |
| Dec 31, 2022 | 64,855.00 |
| Sep 30, 2022 | 64,855.00 |
| Mar 31, 2022 | 100,000.00 |
| Sep 30, 2021 | 948,662.00 |
| Jun 30, 2021 | 786,925.00 |
API Access
APPlife Digital Solutions Non-Current Debt 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=non-current-debt&ticker=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();