APPlife Digital Solutions (ALDS) Return on Assets [ROA] (2021 - 2026)
APPlife Digital Solutions (ALDS) reported Return on Assets [ROA] of -69.07% for fiscal Q3 2026 (quarter ended Mar 31, 2026), up 1516.71 percentage points from -1585.77% a year earlier but down 15.10 percentage points from the prior quarter.
APPlife Digital Solutions (ALDS) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025 (ended Jun 30, 2025), APPlife Digital Solutions posted Return on Assets [ROA] of -66.64%, up 3090.43 percentage points from FY2024.
- Return on Assets [ROA] has a five-year change of +647.50 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Assets [ROA] came in at -3157.07% in FY2024 (-1490.98 pp), -1666.09% in FY2023 (-474.86 pp), -1191.22% in FY2022 (-206.45 pp) and -984.77% in FY2021 (-270.62 pp).
- Five-year quarterly Return on Assets [ROA] spans a low of -2723.32% in fiscal Q4 2024 and a high of -26.28% in fiscal Q1 2026.
- Year over year, Return on Assets [ROA] has now increased in each of the last four quarters, with an average year-over-year change of +920.49 percentage points over the last eight quarters.
- 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 Q3 2026 came in at -53.96% (Q2 2026), -26.28% (Q1 2026) and -66.94% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 13.15% |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 11.99% |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 16.86% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 7.42% |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 15.44% |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 15.05% |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 11.98% |
| 10 | APPlife Digital Solutions | 50.85 Mn | 50.54 Mn | 130,124.00 | -69.07% |
Historic Data
| Date | Value |
|---|---|
| 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();