APPlife Digital Solutions (ALDS) Other Operating Expenses (2018 - 2026)
APPlife Digital Solutions' Other Operating Expenses was $3.13 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$254,321 a year earlier and up 522.2% from the prior quarter.
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Analysis
APPlife Digital Solutions (ALDS) Other Operating Expenses (2018 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Other Operating Expenses at APPlife Digital Solutions came in at $4.88 million.
- Other Operating Expenses shows a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $246,137 in FY2025 (-95.0%), $4.9 million in FY2024 (+56.5%), $3.13 million in FY2023 (+3.9%) and $3.01 million in FY2022 (-19.0%).
- The fiscal Q4 2026 figure marks the highest quarterly Other Operating Expenses since fiscal Q4 2024.
- Compared with a year earlier, Other Operating Expenses was higher in two of the last four quarters, with growth averaging 79.5%.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q2 2026 (growth of 285.6%); the worst was fiscal Q1 2025 (a decline of 70.3%).
- Per Business Quant data, ALDS's Other Operating Expenses in the three fiscal quarters before Q4 2026 was $503,463 (Q3 2026), $774,701 (Q2 2026) and $467,966 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn |
| 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 |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn |
| 10 | APPlife Digital Solutions | 80.43 Mn | 80.21 Mn | 38,288.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.13 Mn |
| Mar 31, 2026 | 503,463.00 |
| Dec 31, 2025 | 774,701.00 |
| Sep 30, 2025 | 467,966.00 |
| Jun 30, 2025 | -254,321.00 |
| Dec 31, 2024 | 200,894.00 |
| Sep 30, 2024 | 174,327.00 |
| Jun 30, 2024 | 3.17 Mn |
| Mar 31, 2024 | 553,274.00 |
| Dec 31, 2023 | 584,585.00 |
| Sep 30, 2023 | 587,705.00 |
| Jun 30, 2023 | 876,848.00 |
| Mar 31, 2023 | 778,425.00 |
| Dec 31, 2022 | 813,552.00 |
| Sep 30, 2022 | 660,825.00 |
| Jun 30, 2022 | 724,388.00 |
| Mar 31, 2022 | 764,429.00 |
| Dec 31, 2021 | 625,743.00 |
| Sep 30, 2021 | 897,854.00 |
| Jun 30, 2021 | 1.31 Mn |
API Access
APPlife Digital Solutions Other Operating 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-operating-expenses&ticker=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();