APPlife Digital Solutions (ALDS) Market Capitalization (2019 - 2026)
APPlife Digital Solutions' Market Capitalization was $4.07 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 98.4% from $254.27 million a year earlier and down 92.9% from the prior quarter.
APPlife Digital Solutions (ALDS) Market Capitalization (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Market Capitalization at APPlife Digital Solutions came in at $3.23 million, down 98.4% from FY2025.
- Market Capitalization shows a five-year compound annual growth rate of -70.3% (FY2021 to FY2026).
- In earlier fiscal years, Market Capitalization was $201.9 million in FY2025 (+81.2%), $111.45 million in FY2024 (-38.7%), $181.71 million in FY2023 (-48.5%) and $352.52 million in FY2022 (-74.9%).
- The fiscal Q4 2026 figure marks the lowest quarterly Market Capitalization in data going back to fiscal Q4 2020.
- Compared with a year earlier, Market Capitalization has declined for four straight quarters, with an average decline of 16.0% over the last eight quarters.
- The best year-over-year quarter for Market Capitalization over five years was fiscal Q3 2025 (growth of 146.9%); the worst was fiscal Q4 2026 (a decline of 98.4%).
- Per Business Quant data, ALDS's Market Capitalization in the three fiscal quarters before Q4 2026 was $56.96 million (Q3 2026), $101.71 million (Q2 2026) and $93.06 million (Q1 2026).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 643.47 Mn |
| Mar 31, 2026 | 2.27 Bn |
| Dec 31, 2025 | 4.01 Bn |
| Sep 30, 2025 | 3.66 Bn |
| Jun 30, 2025 | 2.19 Bn |
| Mar 31, 2025 | 965.36 Mn |
| Dec 31, 2024 | 487.51 Mn |
| Sep 30, 2024 | 402.23 Mn |
| Jun 30, 2024 | 269.30 Mn |
| Mar 31, 2024 | 147.12 Bn |
| Dec 31, 2023 | 332.99 Bn |
| Sep 30, 2023 | 1.27 Bn |
| Jun 30, 2023 | 668.45 Mn |
| Mar 31, 2023 | 610.51 Mn |
| Dec 31, 2022 | 631.31 Mn |
| Sep 30, 2022 | 965.53 Mn |
| Jun 30, 2022 | 443.96 Mn |
| Mar 31, 2022 | 354.45 Mn |
| Dec 31, 2021 | 265.32 Mn |
| Sep 30, 2021 | 443.98 Mn |
APPlife Digital Solutions Market Capitalization 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=market-capitalization&ticker=ALDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();