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 | 321.31 Bn | 275.31 Bn | 4.68 Bn | -26.86% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 9.62% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 8.25% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 24.71% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 22.99% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 13.87% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 22.44% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 12.41% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 15.09% |
| 10 | Dynamic Aerospace Systems | 10.95 Mn | 10.83 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();