APPlife Digital Solutions (ALDS) Short term Debt (2023 - 2025)
APPlife Digital Solutions (ALDS) reported Short term Debt of $73,777 for fiscal Q3 2025 (quarter ended Mar 31, 2025), up 44.7% from $51,000 a year earlier and up 50.6% from the prior quarter.
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Analysis
APPlife Digital Solutions (ALDS) Short term Debt (2023 - 2025) Analysis & Trends
At the end of FY2024 (ended Jun 30, 2024), APPlife Digital Solutions posted Short term Debt of $68,500.
- By fiscal year, Short term Debt came in at $1,000 in FY2023.
- The fiscal Q3 2025 figure ranks as the highest quarterly Short term Debt in data going back to fiscal Q4 2023.
- Per Business Quant data, the three fiscal quarters before Q3 2025 came in at $49,000 (Q2 2025), $63,500 (Q1 2025) and $68,500 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | APPlife Digital Solutions | 50.85 Mn | 50.54 Mn | 130,124.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 73,777.00 |
| Dec 31, 2024 | 49,000.00 |
| Sep 30, 2024 | 63,500.00 |
| Jun 30, 2024 | 68,500.00 |
| Mar 31, 2024 | 51,000.00 |
| Dec 31, 2023 | 21,000.00 |
| Sep 30, 2023 | 1,000.00 |
| Jun 30, 2023 | 1,000.00 |
API Access
APPlife Digital Solutions Short term 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=short-term-debt&ticker=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-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=short-term-debt&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();