APPlife Digital Solutions (ALDS) Cost of Revenue (2019 - 2026)
APPlife Digital Solutions' Cost of Revenue came in at $183,770 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 32.1% from $270,614 a year earlier and down 68.7% from the prior quarter.
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Analysis
APPlife Digital Solutions (ALDS) Cost of Revenue (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), APPlife Digital Solutions' Cost of Revenue was $1.8 million, up 563.3% from FY2025.
- Cost of Revenue has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 244.9% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $270,891 in FY2025 (+314.3%), $65,393 in FY2024 (+35.6%), $48,227 in FY2023 (+86.2%) and $25,907 in FY2022 (+603.6%).
- The fiscal Q4 2026 figure represents the lowest quarterly Cost of Revenue since fiscal Q2 2025.
- Year-over-year, Cost of Revenue increased in 1 of the last four quarters, with growth averaging 66.7%.
- 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 $586,537 (Q3 2026), $667,455 (Q2 2026) and $359,148 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 94.57 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 6.52 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 4.15 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 17.60 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 2.44 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 3.08 Bn |
| 10 | APPlife Digital Solutions | 80.43 Mn | 80.21 Mn | 38,288.00 | 183,770.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 183,770.00 |
| 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 |
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();