APPlife Digital Solutions (ALDS) Change in Accured Expenses (2020 - 2025)
APPlife Digital Solutions (ALDS) posted Change in Accured Expenses of -$33,172 for fiscal Q3 2025 (quarter ended Mar 31, 2025), compared with $29,047 a year earlier.
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Analysis
APPlife Digital Solutions (ALDS) Change in Accured Expenses (2020 - 2025) Analysis & Trends
For the trailing twelve months through Mar 31, 2025, Change in Accured Expenses at APPlife Digital Solutions was $163,758, down 11.3% year-over-year; for FY2024 (ended Jun 30, 2024), it came in at $217,602, up 17.6% from FY2023.
- Annual Change in Accured Expenses shows a four-year compound annual growth rate of 55.9% (FY2020 to FY2024).
- In prior fiscal years, APPlife Digital Solutions' Change in Accured Expenses was $185,085 in FY2023 (+45.0%), $127,651 in FY2022 (-33.4%), $191,534 in FY2021 (+420.6%) and $36,792 in FY2020.
- The fiscal Q3 2025 figure stands as the lowest quarterly Change in Accured Expenses in data going back to fiscal Q1 2021.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last six quarters, with growth averaging 3.5%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q2 2023, with growth of 145.2%; the weakest was fiscal Q1 2025, with a decline of 65.7%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $102,963 (Q2 2025), $9,265 (Q1 2025) and $84,702 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | APPlife Digital Solutions | 50.85 Mn | 50.54 Mn | 130,124.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -33,172.00 |
| Dec 31, 2024 | 102,963.00 |
| Sep 30, 2024 | 9,265.00 |
| Jun 30, 2024 | 84,702.00 |
| Mar 31, 2024 | 29,047.00 |
| Dec 31, 2023 | 76,804.00 |
| Sep 30, 2023 | 27,049.00 |
| Jun 30, 2023 | 51,798.00 |
| Mar 31, 2023 | 21,123.00 |
| Dec 31, 2022 | 112,276.00 |
| Sep 30, 2022 | -112.00 |
| Jun 30, 2022 | 62,151.00 |
| Mar 31, 2022 | 31,791.00 |
| Dec 31, 2021 | 45,788.00 |
| Sep 30, 2021 | -12,079.00 |
| Jun 30, 2021 | 79,999.00 |
| Mar 31, 2021 | 41,215.00 |
| Dec 31, 2020 | 27,744.00 |
| Sep 30, 2020 | 42,576.00 |
API Access
APPlife Digital Solutions Change in Accured Expenses 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=change-in-accured-expenses&ticker=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();