APPlife Digital Solutions (ALDS) Retained Earnings (2018 - 2026)
APPlife Digital Solutions' Retained Earnings came in at -$4.97 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), compared with -$22.31 million a year earlier.
APPlife Digital Solutions (ALDS) Retained Earnings (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), APPlife Digital Solutions' Retained Earnings was -$3.62 million.
- Going back by fiscal year, Retained Earnings was -$21.93 million in FY2024, -$16.87 million in FY2023, -$13.38 million in FY2022 and -$9.84 million in FY2021.
- The five-year range for quarterly Retained Earnings is -$22.33 million (fiscal Q2 2025) to -$3.53 million (fiscal Q1 2026).
- Business Quant data shows ALDS's Retained Earnings at -$4.52 million (Q2 2026), -$3.53 million (Q1 2026) and -$3.62 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 343.44 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 97.95 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 9.97 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -8.19 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 5.32 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 10.89 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | -3.42 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 551.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -3.75 Bn |
| 10 | APPlife Digital Solutions | 50.85 Mn | 50.54 Mn | 130,124.00 | -4.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -4.97 Mn |
| Dec 31, 2025 | -4.52 Mn |
| Sep 30, 2025 | -3.53 Mn |
| Jun 30, 2025 | -3.62 Mn |
| Mar 31, 2025 | -22.31 Mn |
| Dec 31, 2024 | -22.33 Mn |
| Sep 30, 2024 | -22.11 Mn |
| Jun 30, 2024 | -21.93 Mn |
| Mar 31, 2024 | -18.66 Mn |
| Dec 31, 2023 | -18.03 Mn |
| Sep 30, 2023 | -17.55 Mn |
| Jun 30, 2023 | -16.87 Mn |
| Mar 31, 2023 | -15.76 Mn |
| Dec 31, 2022 | -14.93 Mn |
| Sep 30, 2022 | -14.04 Mn |
| Jun 30, 2022 | -13.38 Mn |
| Mar 31, 2022 | -12.38 Mn |
| Dec 31, 2021 | -11.47 Mn |
| Sep 30, 2021 | -10.76 Mn |
| Jun 30, 2021 | -9.84 Mn |
APPlife Digital Solutions Retained Earnings 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=retained-earnings&ticker=ALDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();