DUKE Robotics (DUKR) Operating Expenses (2015 - 2026)
DUKE Robotics' Operating Expenses came in at $986,000 for Q2 2026, up 191.7% from $338,000 a year earlier and up 105.4% from the prior quarter.
DUKE Robotics (DUKR) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, DUKE Robotics reported Operating Expenses of $2.23 million, up 93.2% year-over-year; for FY2025, it came in at $1.39 million, up 28.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.08 million in FY2024 (+27.2%), $849,000 in FY2023 (-24.5%), $1.12 million in FY2022 (+8.1%) and $1.04 million in FY2021 (-20.3%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2015.
- Year-over-year, Operating Expenses has increased for 11 consecutive quarters, with growth averaging 55.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 191.7%), and the weakest in Q3 2022 (a decline of 51.8%).
- Business Quant data shows DUKR's Operating Expenses at $480,000 (Q1 2026), $431,000 (Q4 2025) and $336,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | DUKE Robotics | 15.20 Mn | 6.67 Mn | 58,000.00 | 986,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 986,000.00 |
| Mar 31, 2026 | 480,000.00 |
| Dec 31, 2025 | 431,000.00 |
| Sep 30, 2025 | 336,000.00 |
| Jun 30, 2025 | 338,000.00 |
| Mar 31, 2025 | 280,000.00 |
| Dec 31, 2024 | 289,000.00 |
| Sep 30, 2024 | 249,000.00 |
| Jun 30, 2024 | 293,000.00 |
| Mar 31, 2024 | 230,000.00 |
| Dec 31, 2023 | 245,000.00 |
| Sep 30, 2023 | 173,000.00 |
| Jun 30, 2023 | 206,000.00 |
| Mar 31, 2023 | 202,000.00 |
| Dec 31, 2022 | 223,000.00 |
| Sep 30, 2022 | 234,000.00 |
| Jun 30, 2022 | 234,000.00 |
| Mar 31, 2022 | 337,000.00 |
| Dec 31, 2021 | 108,000.00 |
| Sep 30, 2021 | 485,000.00 |
DUKE Robotics Operating Expenses 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=operating-expenses&ticker=DUKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DUKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();