APPlife Digital Solutions (ALDS) Market Capitalization (2020 - 2026)
APPlife Digital Solutions' Market Capitalization was $56.96 million in fiscal Q3 2026 (quarter ended Mar 31, 2026), down 81.3% from $305.12 million a year earlier and down 44.0% from the prior quarter.
APPlife Digital Solutions (ALDS) Market Capitalization (2020 - 2026) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Market Capitalization at APPlife Digital Solutions came in at $201.9 million, up 81.2% from FY2024.
- Market Capitalization shows a five-year compound annual growth rate of -32.9% (FY2020 to FY2025).
- In earlier fiscal years, Market Capitalization was $111.45 million in FY2024 (-38.7%), $181.71 million in FY2023 (-48.5%), $352.52 million in FY2022 (-74.9%) and $1.4 billion in FY2021 (-5.4%).
- The fiscal Q3 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 three straight quarters, with an average decline of 8.5% 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 Q2 2022 (a decline of 84.9%).
- Per Business Quant data, ALDS's Market Capitalization in the three fiscal quarters before Q3 2026 was $101.71 million (Q2 2026), $93.06 million (Q1 2026) and $254.27 million (Q4 2025).
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
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 1.40 Bn |
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();