APPlife Digital Solutions (ALDS) Operating Expenses (2020 - 2026)
APPlife Digital Solutions (ALDS) reported Operating Expenses of $3.13 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$254,321 a year earlier and up 522.2% from the prior quarter.
Powered by 
Analysis
APPlife Digital Solutions (ALDS) Operating Expenses (2020 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), APPlife Digital Solutions posted Operating Expenses of $4.88 million.
- Operating Expenses has a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $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 ranks as the highest quarterly Operating Expenses since fiscal Q4 2024.
- Year over year, Operating Expenses gained in two of the last four quarters, with growth averaging 79.5%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2026 (growth of 285.6%); the low point was fiscal Q1 2025 (a decline of 70.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $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) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,717.88 Bn | 2,234.58 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 320.61 Bn | 313.86 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 161.75 Bn | 139.29 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 113.11 Bn | 106.07 Bn | 8.58 Bn | 4.46 Bn |
| 5 | O Reilly Automotive | 74.69 Bn | 73.78 Bn | 2.52 Bn | 1.53 Bn |
| 6 | Ross Stores | 74.45 Bn | 57.38 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 70.00 Bn | 64.59 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.70 Bn | 51.60 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 42.38 Bn | 32.87 Bn | 1.38 Bn | 704.00 Mn |
| 10 | APPlife Digital Solutions | 5.59 Mn | 5.37 Mn | 38,288.00 | 3.13 Mn |
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 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=operating-expenses&ticker=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();