DUKE Robotics (DUKR) Net Margin (2019 - 2026)
DUKE Robotics' Net Margin was -487.25% in Q2 2026, down 299.14 percentage points from -188.11% a year earlier.
DUKE Robotics (DUKR) Net Margin (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, DUKE Robotics' Net Margin was -444.87% through Jun 30, 2026, down 28.13 percentage points year-over-year; for FY2025, it came in at -329.18%, up 582.86 percentage points from FY2024.
- Net Margin shows a four-year change of -151.58 percentage points (FY2021 to FY2025).
- In earlier years, Net Margin was -912.04% in FY2024 (-670.04 pp), -242.00% in FY2023 and -177.60% in FY2021.
- Quarterly Net Margin has moved between -2572.22% (Q4 2025) and -106.48% (Q3 2025) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 17.75% |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 8.66% |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | -2.16% |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 9.15% |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 20.97% |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 8.23% |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 17.78% |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.06% |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.46% |
| 10 | DUKE Robotics | 15.20 Mn | 6.67 Mn | 58,000.00 | -487.25% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -487.25% |
| Dec 31, 2025 | -2,572.22% |
| Sep 30, 2025 | -106.48% |
| Jun 30, 2025 | -188.11% |
| Dec 31, 2024 | -797.22% |
| Sep 30, 2024 | -293.06% |
| Mar 31, 2021 | 50.20% |
| Sep 30, 2019 | -178.57% |
DUKE Robotics 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=DUKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "DUKR", "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=DUKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();