APPlife Digital Solutions (ALDS) Other Accumulated Expenses (2018 - 2026)
APPlife Digital Solutions' Other Accumulated Expenses was $1.63 million in fiscal Q3 2026 (quarter ended Mar 31, 2026), down 0.5% from the prior quarter.
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Analysis
APPlife Digital Solutions (ALDS) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Other Accumulated Expenses at APPlife Digital Solutions came in at $1.68 million.
- The fiscal Q3 2026 figure marks the lowest quarterly Other Accumulated Expenses since fiscal Q4 2019.
- Per Business Quant data, ALDS's Other Accumulated Expenses in the three fiscal quarters before Q3 2026 was $1.64 million (Q2 2026), $1.66 million (Q1 2026) and $1.68 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 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, 2026 | 1.63 Mn |
| Dec 31, 2025 | 1.64 Mn |
| Sep 30, 2025 | 1.66 Mn |
| Jun 30, 2025 | 1.68 Mn |
| Jun 30, 2019 | 61,034.00 |
| Jun 30, 2018 | 100,000.00 |
API Access
APPlife Digital Solutions Other Accumulated 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=other-accumulated-expenses&ticker=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();