APPlife Digital Solutions (ALDS) Return on Sales [ROS] (2019 - 2026)
APPlife Digital Solutions (ALDS) posted Return on Sales [ROS] of -1393.53% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1488.19 percentage points from 94.66% a year earlier and down 1341.44 percentage points from the prior quarter.
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Analysis
APPlife Digital Solutions (ALDS) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), APPlife Digital Solutions' Return on Sales [ROS] came in at -190.61%, down 126.54 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of +74907.07 percentage points (FY2021 to FY2026).
- In prior fiscal years, APPlife Digital Solutions' Return on Sales [ROS] was -64.07% in FY2025 (+70992.48 pp), -71056.55% in FY2024 (-64377.85 pp), -6678.70% in FY2023 (+4010.03 pp) and -10688.73% in FY2022 (+64408.95 pp).
- The fiscal Q4 2026 figure stands as the lowest quarterly Return on Sales [ROS] since fiscal Q3 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +17368.07 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q3 2026, with a gain of 385140.30 percentage points; the weakest was fiscal Q3 2025, with a drop of 361400.48 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was -52.09% (Q3 2026), -61.26% (Q2 2026) and -78.19% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 13.90% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 13.67% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 8.88% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 17.62% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 9.65% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 21.45% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 19.97% |
| 10 | APPlife Digital Solutions | 80.43 Mn | 80.21 Mn | 38,288.00 | -1,393.53% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,393.53% |
| Mar 31, 2026 | -52.09% |
| Dec 31, 2025 | -61.26% |
| Sep 30, 2025 | -78.19% |
| Jun 30, 2025 | 94.66% |
| Mar 31, 2025 | -385,192.39% |
| Dec 31, 2024 | -17,622.91% |
| Sep 30, 2024 | -17,908.88% |
| Jun 30, 2024 | -71,062.23% |
| Mar 31, 2024 | -23,791.91% |
| Dec 31, 2023 | -30,478.14% |
| Sep 30, 2023 | -15,197.33% |
| Jun 30, 2023 | -25,276.72% |
| Mar 31, 2023 | -6,278.63% |
| Dec 31, 2022 | -5,767.86% |
| Sep 30, 2022 | -3,874.97% |
| Jun 30, 2022 | -4,072.83% |
| Mar 31, 2022 | -8,983.93% |
| Dec 31, 2021 | -60,673.04% |
| Sep 30, 2021 | -106,859.17% |
API Access
APPlife Digital Solutions Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();