Quantum Cyber (QUCY) Operating Expenses (2022 - 2026)
Quantum Cyber (QUCY) recorded Operating Expenses of $9.89 million in Q2 2026, up 506.7% from $1.63 million a year earlier and up 301.5% from the prior quarter.
Quantum Cyber (QUCY) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Quantum Cyber's Operating Expenses came in at $16.73 million as of Jun 30, 2026, down 0.6% year-over-year; for FY2025, it came in at $16.53 million, down 14.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 83.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $19.35 million in FY2024 (-28.7%), $27.15 million in FY2023 (+2.0%), $26.63 million in FY2022 (+168.9%) and $9.9 million in FY2021.
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Quantum Cyber | 23.03 Mn | 2.02 Mn | - | 9.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.89 Mn |
| Mar 31, 2026 | 2.46 Mn |
| Jun 30, 2025 | 1.63 Mn |
| Mar 31, 2025 | 2.75 Mn |
| Dec 31, 2023 | 6.73 Mn |
| Sep 30, 2023 | 5.73 Mn |
| Jun 30, 2023 | 8.07 Mn |
| Mar 31, 2023 | 6.63 Mn |
| Dec 31, 2022 | 8.43 Mn |
| Sep 30, 2022 | 5.49 Mn |
| Jun 30, 2022 | 7.03 Mn |
| Mar 31, 2022 | 5.68 Mn |
Quantum Cyber 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=QUCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "QUCY", "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=QUCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();