APPlife Digital Solutions (ALDS) Other Operating Expenses (2020 - 2026)
APPlife Digital Solutions' Other Operating Expenses was $503,463 in fiscal Q3 2026 (quarter ended Mar 31, 2026), down 35.0% from the prior quarter.
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Analysis
APPlife Digital Solutions (ALDS) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, APPlife Digital Solutions' Other Operating Expenses was $1.49 million through Mar 31, 2026, down 58.0% year-over-year; for FY2025 (ended Jun 30, 2025), it was $246,137, down 95.0% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of -42.1% (FY2020 to FY2025).
- In earlier fiscal years, Other Operating Expenses was $4.9 million in FY2024 (+56.5%), $3.13 million in FY2023 (+3.9%), $3.01 million in FY2022 (-19.0%) and $3.72 million in FY2021 (-1.4%).
- Quarterly Other Operating Expenses has moved between -$254,321 (fiscal Q4 2025) and $3.17 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in three of the last five quarters, with growth averaging 116.0%.
- 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 Q3 2026 was $774,701 (Q2 2026), $467,966 (Q1 2026) and -$254,321 (Q4 2025).
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, 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 |
| Mar 31, 2021 | 757,671.00 |
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();