Dynamic Aerospace Systems (BRQL) Net Margin (2021 - 2024)
Dynamic Aerospace Systems' Net Margin came in at -440390.60% for FY2024, up 6525369.40 percentage points from -6965760.00% in FY2023.
Analysis
Dynamic Aerospace Systems (BRQL) Net Margin (2021 - 2024) Analysis & Trends
Going back to FY2021, Dynamic Aerospace Systems' Net Margin data covers 4 years.
- Net Margin carries a three-year change of -430870.73 percentage points (FY2021 to FY2024).
- The five-year range for annual Net Margin is -6965760.00% (FY2023) to -9519.87% (FY2021).
- Per Business Quant, earlier years put Net Margin at -6965760.00% in FY2023 (-6934424.65 pp), -31335.35% in FY2022 (-21815.47 pp) and -9519.87% in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 17.75% |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 8.66% |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | -2.16% |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 9.15% |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 20.97% |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 8.23% |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 17.78% |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.06% |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 58.46% |
| 10 | Dynamic Aerospace Systems | 8.76 Mn | 8.64 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -106,263.53% |
| Jun 30, 2024 | -392,312.50% |
| Mar 31, 2024 | -329,848.28% |
| Dec 31, 2023 | -3,483,300.00% |
| Sep 30, 2023 | -10,913,500.00% |
| Jun 30, 2023 | -3,465,100.00% |
| Mar 31, 2023 | -13,483,600.00% |
| Dec 31, 2022 | -312,823.53% |
| Sep 30, 2022 | -70,816.92% |
| Jun 30, 2022 | -7,401.82% |
| Mar 31, 2022 | -58,010.43% |
| Dec 31, 2021 | 22,115.03% |
| Sep 30, 2021 | -16,127.69% |
API Access
Dynamic Aerospace Systems Net Margin 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=net-margin&ticker=BRQL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=BRQL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();