APPlife Digital Solutions (ALDS) Market Capitalization (2020 - 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.
Powered by 
Analysis
APPlife Digital Solutions (ALDS) Market Capitalization (2020 - 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn |
| 10 | APPlife Digital Solutions | 5.59 Mn | 5.37 Mn | 38,288.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.07 Mn |
| Mar 31, 2026 | 56.96 Mn |
| Dec 31, 2025 | 101.71 Mn |
| Sep 30, 2025 | 93.06 Mn |
| Jun 30, 2025 | 254.27 Mn |
| Mar 31, 2025 | 305.12 Mn |
| Dec 31, 2024 | 154.09 Mn |
| Sep 30, 2024 | 127.14 Mn |
| Jun 30, 2024 | 140.36 Mn |
| Mar 31, 2024 | 123.58 Mn |
| Dec 31, 2023 | 279.70 Mn |
| Sep 30, 2023 | 433.28 Mn |
| Jun 30, 2023 | 228.84 Mn |
| Mar 31, 2023 | 209.01 Mn |
| Dec 31, 2022 | 216.13 Mn |
| Sep 30, 2022 | 330.55 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 |
API Access
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_KEYimport 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();