Quantum Cyber (QUCY) Other Operating Expenses (2022 - 2026)
Quantum Cyber (QUCY) posted Other Operating Expenses of $1.46 million for Q2 2026, up 70.0% from $857,847 a year earlier and up 417.4% from the prior quarter.
Quantum Cyber (QUCY) Other Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Quantum Cyber was $3.76 million, down 8.1% year-over-year; for FY2025, it came in at $6.52 million.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 137.2% (FY2020 to FY2025).
- In prior years, Quantum Cyber's Other Operating Expenses was $79,544 in FY2024 (-98.7%), $6.16 million in FY2023, $56,704 in FY2022 and -$1.97 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Quantum Cyber | 23.39 Mn | 2.38 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Mn |
| Mar 31, 2026 | 281,903.00 |
| Jun 30, 2025 | 857,847.00 |
| Mar 31, 2025 | 1.16 Mn |
| Dec 31, 2023 | 950,682.00 |
| Sep 30, 2023 | 1.12 Mn |
| Jun 30, 2023 | 1.80 Mn |
| Mar 31, 2023 | -73,360.00 |
| Dec 31, 2022 | -3.34 Mn |
| Sep 30, 2022 | 605,844.00 |
| Jun 30, 2022 | 1.87 Mn |
| Mar 31, 2022 | -32,178.00 |
Quantum Cyber Other 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=other-operating-expenses&ticker=QUCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=QUCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();