DUKE Robotics (DUKR) Accumulated Expenses (2015 - 2025)
DUKE Robotics (DUKR) recorded Accumulated Expenses of $341,000 in Q4 2025, up 89.4% from $180,000 a year earlier.
Analysis
DUKE Robotics (DUKR) Accumulated Expenses (2015 - 2025) Analysis & Trends
Starting with Q3 2015, DUKE Robotics' Accumulated Expenses history includes 10 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $180,000 in FY2024 (+21.6%), $148,000 in FY2023 (-7.5%), $160,000 in FY2022 (+68.4%) and $95,000 in FY2021 (-55.4%).
- The Q4 2025 figure is the highest quarterly Accumulated Expenses in data going back to Q3 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | DUKE Robotics | 14.67 Mn | 6.13 Mn | 58,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 341,000.00 |
| Dec 31, 2024 | 180,000.00 |
| Dec 31, 2023 | 148,000.00 |
| Dec 31, 2022 | 160,000.00 |
| Dec 31, 2021 | 95,000.00 |
| Dec 31, 2020 | 213,000.00 |
| Dec 31, 2019 | 208,000.00 |
| Dec 31, 2018 | 122,825.00 |
| Mar 31, 2016 | 27,300.00 |
| Dec 31, 2015 | 22,800.00 |
| Sep 30, 2015 | 12,000.00 |
API Access
DUKE Robotics Accumulated 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=accumulated-expenses&ticker=DUKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DUKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();