APPlife Digital Solutions (ALDS) Cash & Equivalents (2018 - 2026)
APPlife Digital Solutions (ALDS) posted Cash & Equivalents of $21,725 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 80.5% from $111,397 a year earlier but up 33.2% from the prior quarter.
Powered by 
Analysis
APPlife Digital Solutions (ALDS) Cash & Equivalents (2018 - 2026) Analysis & Trends
Since fiscal Q4 2018, APPlife Digital Solutions has reported Cash & Equivalents for 27 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -38.7% (FY2021 to FY2026).
- In prior fiscal years, APPlife Digital Solutions' Cash & Equivalents was $111,397 in FY2025 (+386.6%), $22,894 in FY2024 (-60.3%), $57,619 in FY2023 (-69.6%) and $189,233 in FY2022 (-24.3%).
- Quarterly Cash & Equivalents has run from a low of $9,511 in fiscal Q3 2025 to a high of $505,282 in fiscal Q1 2022 over five years.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 57.8%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q4 2025, with growth of 386.6%; the weakest was fiscal Q1 2024, with a decline of 84.5%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $16,305 (Q3 2026), $137,330 (Q2 2026) and $47,257 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 55.78 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 3.05 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | - |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 194.45 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 326.12 Mn |
| 10 | APPlife Digital Solutions | 80.43 Mn | 80.21 Mn | 38,288.00 | 21,725.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21,725.00 |
| Mar 31, 2026 | 16,305.00 |
| Dec 31, 2025 | 137,330.00 |
| Sep 30, 2025 | 47,257.00 |
| Jun 30, 2025 | 111,397.00 |
| Mar 31, 2025 | 9,511.00 |
| Dec 31, 2024 | 49,296.00 |
| Sep 30, 2024 | 54,174.00 |
| Jun 30, 2024 | 22,894.00 |
| Mar 31, 2024 | 28,740.00 |
| Dec 31, 2023 | 157,875.00 |
| Sep 30, 2023 | 34,929.00 |
| Jun 30, 2023 | 57,619.00 |
| Mar 31, 2023 | 57,244.00 |
| Dec 31, 2022 | 126,539.00 |
| Sep 30, 2022 | 225,117.00 |
| Jun 30, 2022 | 189,233.00 |
| Mar 31, 2022 | 167,931.00 |
| Dec 31, 2021 | 265,407.00 |
| Sep 30, 2021 | 505,282.00 |
API Access
APPlife Digital Solutions Cash & Equivalents 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=cash-and-equivalents&ticker=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();