Dynamic Aerospace Systems (BRQL) Return on Capital Employed [ROCE] (2022 - 2026)
Dynamic Aerospace Systems (BRQL) posted Return on Capital Employed [ROCE] of -99.97% for Q2 2026, down 84.21 percentage points from -15.76% a year earlier and down 25.33 percentage points from the prior quarter.
Dynamic Aerospace Systems (BRQL) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Dynamic Aerospace Systems' Return on Capital Employed [ROCE] came in at -175.37%.
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q2 2023.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -74.64% (Q1 2026), -55.59% (Q4 2025) and -14.82% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 344.88 Bn | 303.40 Bn | 5.02 Bn | -19.49% |
| 2 | Rtx | 264.31 Bn | 232.58 Bn | 5.81 Bn | 10.08% |
| 3 | Boeing | 138.53 Bn | 47.49 Bn | 2.17 Bn | 17.91% |
| 4 | Lockheed Martin | 135.47 Bn | 119.71 Bn | 2.44 Bn | 23.92% |
| 5 | General Dynamics | 97.88 Bn | 83.12 Bn | 2.25 Bn | 14.17% |
| 6 | Motorola Solutions | 86.70 Bn | 83.17 Bn | 1.77 Bn | 21.71% |
| 7 | Howmet Aerospace | 86.21 Bn | 81.96 Bn | 1.00 Bn | 24.70% |
| 8 | Northrop Grumman | 77.07 Bn | 64.53 Bn | 2.35 Bn | 12.21% |
| 9 | Honeywell International | 72.26 Bn | 31.77 Bn | 2.02 Bn | -7.52% |
| 10 | Dynamic Aerospace Systems | 7.01 Mn | 6.89 Mn | - | -99.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -99.97% |
| Mar 31, 2026 | -74.64% |
| Dec 31, 2025 | -55.59% |
| Sep 30, 2025 | -14.82% |
| Jun 30, 2025 | -15.76% |
| Jun 30, 2023 | -1,633.55% |
| Mar 31, 2023 | -1,789.41% |
| Sep 30, 2022 | -3,123.69% |
| Jun 30, 2022 | -15,660.89% |
| Mar 31, 2022 | -1,685.54% |
Dynamic Aerospace Systems 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=BRQL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "BRQL", "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=BRQL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();