Appsoft Technologies (ASFT) Return on Assets [ROA] (2016 - 2026)
Appsoft Technologies' Return on Assets [ROA] came in at -12308.01% for Q2 2026, down 2271.82 percentage points from -10036.19% a year earlier but up 1967.77 percentage points from the prior quarter.
Appsoft Technologies (ASFT) Return on Assets [ROA] (2016 - 2026) Analysis & Trends
For FY2025, Appsoft Technologies' Return on Assets [ROA] was -191646.30%, down 64673.82 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of -179481.93 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was -126972.48% in FY2024 (+885104.45 pp), -1012076.92% in FY2023 (-989177.53 pp), -22899.39% in FY2022 (-2004.97 pp) and -20894.42% in FY2021 (-8730.05 pp).
- The five-year range for quarterly Return on Assets [ROA] is -1349613.33% (Q4 2025) to -10036.19% (Q2 2025).
- Year-over-year, Return on Assets [ROA] increased in six of the last eight quarters, with an average year-over-year change of -23085.18 percentage points.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q4 2024 (a gain of 441391.22 percentage points), and the weakest in Q4 2025 (a drop of 1219056.73 percentage points).
- Business Quant data shows ASFT's Return on Assets [ROA] at -14275.78% (Q1 2026), -1349613.33% (Q4 2025) and -11374.86% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 30.04% |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 16.11% |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 22.85% |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 3.57% |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 13.49% |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 15.38% |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 25.12% |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 22.73% |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 24.85% |
| 10 | Appsoft Technologies | 1.12 Mn | 1.12 Mn | - | -12,308.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12,308.01% |
| Mar 31, 2026 | -14,275.78% |
| Dec 31, 2025 | -1,349,613.33% |
| Sep 30, 2025 | -11,374.86% |
| Jun 30, 2025 | -10,036.19% |
| Mar 31, 2025 | -87,931.07% |
| Dec 31, 2024 | -130,556.60% |
| Sep 30, 2024 | -258,805.00% |
| Jun 30, 2024 | -63,919.72% |
| Mar 31, 2024 | -93,864.35% |
| Dec 31, 2023 | -571,947.83% |
| Sep 30, 2023 | -473,158.62% |
| Jun 30, 2023 | -293,310.64% |
| Mar 31, 2023 | -291,636.84% |
| Dec 31, 2022 | -401,988.89% |
| Sep 30, 2022 | -323,669.57% |
| Dec 31, 2021 | -31,702.31% |
| Sep 30, 2021 | -19,829.02% |
| Jun 30, 2021 | -6,715.93% |
| Mar 31, 2021 | -10,892.23% |
Appsoft Technologies Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=ASFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "ASFT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-assets-%5Broa%5D&ticker=ASFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();