Aerkomm (AKOM) Return on Assets [ROA] (2014 - 2026)
Aerkomm's Return on Assets [ROA] came in at -8.39% for Q2 2026, up 26.57 percentage points from -34.96% a year earlier and up 4.17 percentage points from the prior quarter.
Aerkomm (AKOM) Return on Assets [ROA] (2014 - 2026) Analysis & Trends
For FY2025, Aerkomm's Return on Assets [ROA] was -25.63%, up 10.75 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of -8.55 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was -36.39% in FY2024 (-6.31 pp), -30.08% in FY2023 (-11.20 pp), -18.88% in FY2022 (-2.11 pp) and -16.77% in FY2021 (+0.31 pp).
- The Q2 2026 figure represents the highest quarterly Return on Assets [ROA] since Q3 2016.
- Year-over-year, Return on Assets [ROA] has increased for three consecutive quarters, with an average year-over-year change of +4.23 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q2 2026 (a gain of 26.57 percentage points), and the weakest in Q2 2024 (a drop of 13.96 percentage points).
- Business Quant data shows AKOM's Return on Assets [ROA] at -12.56% (Q1 2026), -25.84% (Q4 2025) and -35.02% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 343.07 Bn | 301.59 Bn | 5.02 Bn | 7.16% |
| 2 | Rtx | 260.15 Bn | 228.42 Bn | 5.81 Bn | 5.04% |
| 3 | Boeing | 139.53 Bn | 48.49 Bn | 2.17 Bn | 4.56% |
| 4 | Lockheed Martin | 131.79 Bn | 116.02 Bn | 2.44 Bn | 10.26% |
| 5 | General Dynamics | 96.69 Bn | 81.93 Bn | 2.25 Bn | 7.74% |
| 6 | Motorola Solutions | 86.11 Bn | 82.57 Bn | 1.77 Bn | 10.35% |
| 7 | Howmet Aerospace | 84.00 Bn | 79.76 Bn | 1.00 Bn | 15.48% |
| 8 | Northrop Grumman | 74.77 Bn | 62.23 Bn | 2.35 Bn | 8.75% |
| 9 | Honeywell International | 70.88 Bn | 30.39 Bn | 2.02 Bn | 10.78% |
| 10 | Aerkomm | 196,538.86 | -554,603.14 | 8,721.00 | -8.39% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.39% |
| Mar 31, 2026 | -12.56% |
| Dec 31, 2025 | -25.84% |
| Sep 30, 2025 | -35.02% |
| Jun 30, 2025 | -34.96% |
| Mar 31, 2025 | -37.45% |
| Dec 31, 2024 | -38.04% |
| Sep 30, 2024 | -33.53% |
| Jun 30, 2024 | -35.68% |
| Mar 31, 2024 | -31.35% |
| Dec 31, 2023 | -27.60% |
| Sep 30, 2023 | -21.01% |
| Jun 30, 2023 | -21.72% |
| Mar 31, 2023 | -19.01% |
| Dec 31, 2022 | -17.67% |
| Sep 30, 2022 | -23.82% |
| Jun 30, 2022 | -15.87% |
| Mar 31, 2022 | -13.89% |
| Dec 31, 2021 | -16.55% |
| Sep 30, 2021 | -10.98% |
Aerkomm 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=AKOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "AKOM", "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=AKOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();