APPlife Digital Solutions (ALDS) Return on Assets [ROA] (2019 - 2026)
APPlife Digital Solutions (ALDS) reported Return on Assets [ROA] of -323.62% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 256.68 percentage points from -66.94% a year earlier and down 254.55 percentage points from the prior quarter.
APPlife Digital Solutions (ALDS) Return on Assets [ROA] (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), APPlife Digital Solutions posted Return on Assets [ROA] of -322.03%, down 255.39 percentage points from FY2025.
- Return on Assets [ROA] has a five-year change of +662.74 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Assets [ROA] came in at -66.64% in FY2025 (+3090.43 pp), -3157.07% in FY2024 (-1490.98 pp), -1666.09% in FY2023 (-474.86 pp) and -1191.22% in FY2022 (-206.45 pp).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Return on Assets [ROA] since fiscal Q3 2025.
- Year over year, Return on Assets [ROA] gained in five of the last eight quarters, with an average year-over-year change of +945.35 percentage points.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q4 2025 (a gain of 2656.39 percentage points); the low point was fiscal Q1 2024 (a drop of 1252.05 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -69.07% (Q3 2026), -53.96% (Q2 2026) and -26.28% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 11.53% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 11.99% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 15.81% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 16.86% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 7.42% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 15.49% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 12.09% |
| 10 | APPlife Digital Solutions | 80.43 Mn | 80.21 Mn | 38,288.00 | -323.62% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -323.62% |
| Mar 31, 2026 | -69.07% |
| Dec 31, 2025 | -53.96% |
| Sep 30, 2025 | -26.28% |
| Jun 30, 2025 | -66.94% |
| Mar 31, 2025 | -1,585.77% |
| Dec 31, 2024 | -1,662.30% |
| Sep 30, 2024 | -2,168.23% |
| Jun 30, 2024 | -2,723.32% |
| Mar 31, 2024 | -1,267.15% |
| Dec 31, 2023 | -1,626.74% |
| Sep 30, 2023 | -2,418.51% |
| Jun 30, 2023 | -2,267.79% |
| Mar 31, 2023 | -1,929.41% |
| Dec 31, 2022 | -1,378.67% |
| Sep 30, 2022 | -1,166.47% |
| Jun 30, 2022 | -1,392.56% |
| Mar 31, 2022 | -1,361.67% |
| Dec 31, 2021 | -824.22% |
| Sep 30, 2021 | -886.09% |
APPlife Digital Solutions Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=ALDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();