Dynamic Aerospace Systems (BRQL) Return on Sales [ROS] (2021 - 2025)
Dynamic Aerospace Systems (BRQL) reported Return on Sales [ROS] of -1385964.71% for Q2 2025, down 1336844.97 percentage points from -49119.74% a year earlier and down 1059135.17 percentage points from the prior quarter.
Dynamic Aerospace Systems (BRQL) Return on Sales [ROS] (2021 - 2025) Analysis & Trends
For FY2024, Dynamic Aerospace Systems posted Return on Sales [ROS] of -201945.11%, up 6084094.89 percentage points from FY2023.
- Return on Sales [ROS] has a three-year change of -196373.91 percentage points (FY2021 to FY2024).
- By year, Return on Sales [ROS] came in at -6286040.00% in FY2023 (-6254694.28 pp), -31345.72% in FY2022 (-25774.51 pp) and -5571.21% in FY2021.
- The Q2 2025 figure ranks as the lowest quarterly Return on Sales [ROS] since Q4 2023.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +1914553.58 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 13170231.03 percentage points); the low point was Q1 2023 (a drop of 13425689.57 percentage points).
- Per Business Quant data, the three quarters before Q2 2025 came in at -326829.54% (Q1 2025), -201945.49% (Q4 2024) and -101620.00% (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | Dynamic Aerospace Systems | 10.95 Mn | 10.83 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -1,385,964.71% |
| Mar 31, 2025 | -326,829.54% |
| Dec 31, 2024 | -201,945.49% |
| Sep 30, 2024 | -101,620.00% |
| Jun 30, 2024 | -49,119.74% |
| Mar 31, 2024 | -313,468.97% |
| Dec 31, 2023 | -3,363,750.00% |
| Sep 30, 2023 | -7,753,800.00% |
| Jun 30, 2023 | -3,465,100.00% |
| Mar 31, 2023 | -13,483,700.00% |
| Dec 31, 2022 | -313,147.06% |
| Sep 30, 2022 | -70,841.29% |
| Jun 30, 2022 | -7,401.97% |
| Mar 31, 2022 | -58,010.43% |
| Dec 31, 2021 | -3,987.16% |
| Sep 30, 2021 | -5,375.00% |
Dynamic Aerospace Systems Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=BRQL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=BRQL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();