APPlife Digital Solutions (ALDS) Cost of Revenue (2020 - 2026)
APPlife Digital Solutions' Cost of Revenue came in at $586,537 for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 12.1% from the prior quarter.
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APPlife Digital Solutions (ALDS) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, APPlife Digital Solutions reported Cost of Revenue of $1.88 million; for FY2025 (ended Jun 30, 2025), it came in at $270,891, up 314.3% from FY2024.
- Cost of Revenue has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 171.8% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $65,393 in FY2024 (+35.6%), $48,227 in FY2023 (+86.2%), $25,907 in FY2022 (+603.6%) and $3,682 in FY2021 (+101.6%).
- The five-year range for quarterly Cost of Revenue is -$1,785 (fiscal Q4 2021) to $667,455 (fiscal Q2 2026).
- Year-over-year, Cost of Revenue increased in two of the last four quarters, with growth averaging 139.1%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q4 2025 (growth of 496.4%), and the weakest in fiscal Q1 2025 (a decline of 99.9%).
- Business Quant data shows ALDS's Cost of Revenue at $667,455 (Q2 2026), $359,148 (Q1 2026) and $270,614 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | APPlife Digital Solutions | 50.85 Mn | 50.54 Mn | 130,124.00 | 586,537.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 586,537.00 |
| Dec 31, 2025 | 667,455.00 |
| Sep 30, 2025 | 359,148.00 |
| Jun 30, 2025 | 270,614.00 |
| Dec 31, 2024 | 261.00 |
| Sep 30, 2024 | 1.00 |
| Jun 30, 2024 | 45,373.00 |
| Mar 31, 2024 | 7,708.00 |
| Dec 31, 2023 | 10,854.00 |
| Sep 30, 2023 | 1,458.00 |
| Jun 30, 2023 | 12,696.00 |
| Mar 31, 2023 | 9,635.00 |
| Dec 31, 2022 | 12,526.00 |
| Sep 30, 2022 | 13,370.00 |
| Jun 30, 2022 | 19,043.00 |
| Mar 31, 2022 | 5,434.00 |
| Dec 31, 2021 | 827.00 |
| Sep 30, 2021 | 603.00 |
| Jun 30, 2021 | -1,785.00 |
| Mar 31, 2021 | 3,973.00 |
API Access
APPlife Digital Solutions Cost of Revenue 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=cost-of-revenue&ticker=ALDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ALDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();