APPlife Digital Solutions (ALDS) Long-Term Debt Repayments (2020 - 2021)
APPlife Digital Solutions (ALDS) reported Long-Term Debt Repayments of $40,000 for FY2022 (year ended Jun 30, 2022), down 78.4% from $185,000 in FY2021.
APPlife Digital Solutions (ALDS) Long-Term Debt Repayments (2020 - 2021) Analysis & Trends
Dating back to FY2019, APPlife Digital Solutions' Long-Term Debt Repayments record includes 4 fiscal years.
- Long-Term Debt Repayments has a three-year compound annual growth rate of -36.6% (FY2019 to FY2022).
- Five-year annual Long-Term Debt Repayments spans a low of $9,506 in FY2020 and a high of $185,000 in FY2021.
- According to Business Quant data, Long-Term Debt Repayments came in at $185,000 in FY2021, $9,506 in FY2020 (-93.9%) and $156,966 in FY2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,698.51 Bn | 2,215.21 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 323.72 Bn | 316.96 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 162.41 Bn | 139.96 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 113.53 Bn | 106.49 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 75.54 Bn | 74.63 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 74.84 Bn | 57.76 Bn | 2.12 Bn | - |
| 7 | Target | 70.28 Bn | 64.86 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 53.47 Bn | 52.38 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.32 Bn | 32.81 Bn | 1.38 Bn | 21.00 Mn |
| 10 | APPlife Digital Solutions | 5.59 Mn | 5.37 Mn | 38,288.00 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 40,000.00 |
| Dec 31, 2020 | 130,000.00 |
| Sep 30, 2020 | 55,000.00 |
APPlife Digital Solutions Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ALDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();