APPlife Digital Solutions (ALDS) Enterprise Value (2020 - 2026)
APPlife Digital Solutions' Enterprise Value came in at $4.05 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 98.4% from $254.16 million a year earlier and down 92.9% from the prior quarter.
Powered by 
Analysis
APPlife Digital Solutions (ALDS) Enterprise Value (2020 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), APPlife Digital Solutions' Enterprise Value was $3.21 million, down 98.4% from FY2025.
- Enterprise Value carries a five-year compound annual growth rate of -70.4% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $201.79 million in FY2025 (+81.1%), $111.43 million in FY2024 (-38.7%), $181.65 million in FY2023 (-48.4%) and $352.33 million in FY2022 (-74.9%).
- The fiscal Q4 2026 figure represents the lowest quarterly Enterprise Value in data going back to fiscal Q4 2020.
- Year-over-year, Enterprise Value has declined for four consecutive quarters, with an average decline of 16.0% 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 Q4 2026 (a decline of 98.4%).
- Business Quant data shows ALDS's Enterprise Value at $56.94 million (Q3 2026), $101.57 million (Q2 2026) and $93.02 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | APPlife Digital Solutions | 4.58 Mn | 4.35 Mn | 38,288.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.05 Mn |
| 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 |
API Access
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();