Aerkomm (AKOM) Return on Capital Employed [ROCE] (2014 - 2025)
Aerkomm (AKOM) recorded Return on Capital Employed [ROCE] of -2505.02% in Q2 2025, down 2383.53 percentage points from -121.49% a year earlier and down 2120.36 percentage points from the prior quarter.
Aerkomm (AKOM) Return on Capital Employed [ROCE] (2014 - 2025) Analysis & Trends
For FY2024, Aerkomm reported Return on Capital Employed [ROCE] of -150.73%, down 21.92 percentage points from FY2023.
- Annual Return on Capital Employed [ROCE] has declined for four straight years, with a five-year change of -131.86 percentage points (FY2019 to FY2024).
- Across earlier years, Return on Capital Employed [ROCE] came in at -128.81% in FY2023 (-103.70 pp), -25.11% in FY2022 (-2.82 pp), -22.29% in FY2021 (-4.13 pp) and -18.16% in FY2020 (+0.70 pp).
- The Q2 2025 figure is the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2014.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for 13 consecutive quarters, with an average year-over-year change of -389.49 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 1.98 percentage points in Q2 2021, against a drop of 2383.53 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -384.66% (Q1 2025), -193.19% (Q4 2024) and -130.72% (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 345.05 Bn | 303.57 Bn | 5.02 Bn | -19.49% |
| 2 | Rtx | 264.29 Bn | 232.56 Bn | 5.81 Bn | 10.08% |
| 3 | Boeing | 139.11 Bn | 48.07 Bn | 2.17 Bn | 17.91% |
| 4 | Lockheed Martin | 135.12 Bn | 119.35 Bn | 2.44 Bn | 23.92% |
| 5 | General Dynamics | 97.72 Bn | 82.95 Bn | 2.25 Bn | 14.17% |
| 6 | Motorola Solutions | 86.43 Bn | 82.89 Bn | 1.77 Bn | 21.71% |
| 7 | Howmet Aerospace | 86.17 Bn | 81.92 Bn | 1.00 Bn | 24.70% |
| 8 | Northrop Grumman | 76.88 Bn | 64.34 Bn | 2.35 Bn | 12.21% |
| 9 | Honeywell International | 72.44 Bn | 31.95 Bn | 2.02 Bn | -7.52% |
| 10 | Aerkomm | 196,538.86 | -554,603.14 | 8,721.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -2,505.02% |
| Mar 31, 2025 | -384.66% |
| Dec 31, 2024 | -193.19% |
| Sep 30, 2024 | -130.72% |
| Jun 30, 2024 | -121.49% |
| Mar 31, 2024 | -91.37% |
| Dec 31, 2023 | -90.33% |
| Sep 30, 2023 | -28.21% |
| Jun 30, 2023 | -26.81% |
| Mar 31, 2023 | -21.87% |
| Dec 31, 2022 | -22.75% |
| Sep 30, 2022 | -26.25% |
| Jun 30, 2022 | -21.20% |
| Mar 31, 2022 | -20.13% |
| Dec 31, 2021 | -21.92% |
| Sep 30, 2021 | -19.46% |
| Jun 30, 2021 | -19.63% |
| Mar 31, 2021 | -20.56% |
| Dec 31, 2020 | -18.39% |
| Sep 30, 2020 | -20.22% |
Aerkomm Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=AKOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=AKOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();