Dynamic Aerospace Systems (BRQL) Operating Expenses (2021 - 2026)
Dynamic Aerospace Systems' Operating Expenses was $1.74 million in Q2 2026, up 263.9% from $478,146 a year earlier and up 37.5% from the prior quarter.
Dynamic Aerospace Systems (BRQL) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dynamic Aerospace Systems' Operating Expenses was $8.84 million through Jun 30, 2026, up 650.5% year-over-year; for FY2025, it came in at $6.64 million.
- Operating Expenses shows a four-year compound annual growth rate of 149.2% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $537,440 in FY2024 (+71.0%), $314,307 in FY2023 (+0.7%), $312,256 in FY2022 (+81.2%) and $172,348 in FY2021.
- Quarterly Operating Expenses has moved between $34,652 (Q2 2023) and $4.73 million (Q4 2025) over five years.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2025 (growth of 539.1%); the worst was Q3 2023 (a decline of 45.6%).
- Per Business Quant data, BRQL's Operating Expenses in the three quarters before Q2 2026 was $1.27 million (Q1 2026), $4.73 million (Q4 2025) and $1.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 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 | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Dynamic Aerospace Systems | 8.76 Mn | 8.64 Mn | - | 1.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.74 Mn |
| Mar 31, 2026 | 1.27 Mn |
| Dec 31, 2025 | 4.73 Mn |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 478,146.00 |
| Mar 31, 2025 | 328,317.00 |
| Dec 31, 2024 | 285,230.00 |
| Sep 30, 2024 | 86,462.00 |
| Jun 30, 2024 | 74,814.00 |
| Mar 31, 2024 | 90,935.00 |
| Dec 31, 2023 | 67,277.00 |
| Sep 30, 2023 | 77,539.00 |
| Jun 30, 2023 | 34,652.00 |
| Mar 31, 2023 | 134,838.00 |
| Dec 31, 2022 | 53,251.00 |
| Sep 30, 2022 | 142,591.00 |
| Jun 30, 2022 | 49,587.00 |
| Mar 31, 2022 | 66,827.00 |
| Dec 31, 2021 | 78,595.00 |
| Sep 30, 2021 | 61,103.00 |
Dynamic Aerospace Systems 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=BRQL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BRQL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();