APPlife Digital Solutions (ALDS) Operating Margin (2020 - 2026)
APPlife Digital Solutions (ALDS) recorded Operating Margin of -52.09% in fiscal Q3 2026 (quarter ended Mar 31, 2026), up 9.17 percentage points from the prior quarter.
APPlife Digital Solutions (ALDS) Operating Margin (2020 - 2026) Analysis & Trends
On a TTM basis, APPlife Digital Solutions' Operating Margin came in at -41.81% as of Mar 31, 2026, up 385150.58 percentage points year-over-year; for FY2025 (ended Jun 30, 2025), it was -64.07%, up 70992.48 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +127009.49 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Operating Margin came in at -71056.55% in FY2024 (-64377.85 pp), -6678.70% in FY2023 (+4010.03 pp), -10688.73% in FY2022 (+64408.95 pp) and -75097.68% in FY2021 (+51975.88 pp).
- Quarterly Operating Margin has ranged from -106859.17% in fiscal Q1 2022 to 94.66% in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Operating Margin rose in three of the last four quarters, with an average year-over-year change of +11384.00 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 102984.19 percentage points in fiscal Q1 2023, against a drop of 24710.27 percentage points in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -61.26% (Q2 2026), -78.19% (Q1 2026) and 94.66% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 9.65% |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 20.15% |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.22% |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 19.08% |
| 10 | APPlife Digital Solutions | 50.85 Mn | 50.54 Mn | 130,124.00 | -52.09% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -52.09% |
| Dec 31, 2025 | -61.26% |
| Sep 30, 2025 | -78.19% |
| Jun 30, 2025 | 94.66% |
| Dec 31, 2024 | -17,622.91% |
| Sep 30, 2024 | -17,908.88% |
| 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% |
| Jun 30, 2021 | -105,426.96% |
| Mar 31, 2021 | -53,917.30% |
| Dec 31, 2020 | -46,849.52% |
APPlife Digital Solutions Operating Margin 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=operating-margin&ticker=ALDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();