APPlife Digital Solutions (ALDS) Enterprise Value (2020 - 2026)
APPlife Digital Solutions' Enterprise Value came in at $56.94 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 81.3% from $305.11 million a year earlier and down 43.9% from the prior quarter.
APPlife Digital Solutions (ALDS) Enterprise Value (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, APPlife Digital Solutions reported Enterprise Value of $56.64 million, down 81.4% year-over-year; for FY2025 (ended Jun 30, 2025), it was $201.79 million, up 81.1% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of -32.9% (FY2020 to FY2025).
- Going back by fiscal year, Enterprise Value was $111.43 million in FY2024 (-38.7%), $181.65 million in FY2023 (-48.4%), $352.33 million in FY2022 (-74.9%) and $1.4 billion in FY2021 (-5.5%).
- The fiscal Q3 2026 figure represents the lowest quarterly Enterprise Value in data going back to fiscal Q4 2020.
- Year-over-year, Enterprise Value has declined for three consecutive quarters, with an average decline of 8.5% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q3 2025 (growth of 147.0%), and the weakest in fiscal Q2 2022 (a decline of 84.9%).
- Business Quant data shows ALDS's Enterprise Value at $101.57 million (Q2 2026), $93.02 million (Q1 2026) and $254.16 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | APPlife Digital Solutions | 50.85 Mn | 50.54 Mn | 130,124.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 56.94 Mn |
| Dec 31, 2025 | 101.57 Mn |
| Sep 30, 2025 | 93.02 Mn |
| Jun 30, 2025 | 254.16 Mn |
| Mar 31, 2025 | 305.11 Mn |
| Dec 31, 2024 | 154.04 Mn |
| Sep 30, 2024 | 127.08 Mn |
| Jun 30, 2024 | 140.33 Mn |
| Mar 31, 2024 | 123.55 Mn |
| Dec 31, 2023 | 279.54 Mn |
| Sep 30, 2023 | 433.24 Mn |
| Jun 30, 2023 | 228.79 Mn |
| Mar 31, 2023 | 208.95 Mn |
| Dec 31, 2022 | 216.00 Mn |
| Sep 30, 2022 | 330.33 Mn |
| Jun 30, 2022 | 443.77 Mn |
| Mar 31, 2022 | 354.28 Mn |
| Dec 31, 2021 | 265.05 Mn |
| Sep 30, 2021 | 443.48 Mn |
| Jun 30, 2021 | 1.40 Bn |
APPlife Digital Solutions Enterprise Value 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=enterprise-value&ticker=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();