APPlife Digital Solutions (ALDS) Non Operating Interest Expenses (2018 - 2026)
APPlife Digital Solutions (ALDS) reported Non Operating Interest Expenses of $46,418 for fiscal Q1 2026 (quarter ended Sep 30, 2025), down 70.2% from $155,761 a year earlier.
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Analysis
APPlife Digital Solutions (ALDS) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2025, APPlife Digital Solutions' Non Operating Interest Expenses came in at $377,379, down 44.1% year-over-year; for FY2024 (ended Jun 30, 2024), it was $658,483, up 2.1% from FY2023.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 116.5% (FY2019 to FY2024).
- By fiscal year, Non Operating Interest Expenses came in at $645,019 in FY2023 (+28.8%), $500,919 in FY2022 (-10.9%), $561,899 in FY2021 (+202.9%) and $185,512 in FY2020.
- The fiscal Q1 2026 figure ranks as the lowest quarterly Non Operating Interest Expenses in data going back to fiscal Q1 2021.
- Year over year, Non Operating Interest Expenses gained in three of the last seven quarters, with an average decline of 24.9%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q2 2023 (growth of 149.2%); the low point was fiscal Q1 2026 (a decline of 70.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 1.69 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 98.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | - |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 98.00 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 81.85 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | - |
| 10 | APPlife Digital Solutions | 80.43 Mn | 80.21 Mn | 38,288.00 | -31,247.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -31,247.00 |
| Mar 31, 2026 | -49,561.00 |
| Dec 31, 2025 | -404,889.00 |
| Sep 30, 2025 | 46,418.00 |
| Mar 31, 2025 | 56,390.00 |
| Dec 31, 2024 | 118,810.00 |
| Sep 30, 2024 | 155,761.00 |
| Jun 30, 2024 | 136,961.00 |
| Mar 31, 2024 | 159,650.00 |
| Dec 31, 2023 | 223,074.00 |
| Sep 30, 2023 | 138,798.00 |
| Jun 30, 2023 | 165,832.00 |
| Mar 31, 2023 | 148,812.00 |
| Dec 31, 2022 | 212,613.00 |
| Sep 30, 2022 | 117,762.00 |
| Jun 30, 2022 | 177,130.00 |
| Mar 31, 2022 | 149,494.00 |
| Dec 31, 2021 | 85,308.00 |
| Sep 30, 2021 | 88,987.00 |
| Jun 30, 2021 | 108,851.00 |
API Access
APPlife Digital Solutions Non Operating Interest Expenses 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-operating-interest-expenses&ticker=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();