Quantum Cyber (QUCY) Non Operating Interest Expenses (2022 - 2026)
Quantum Cyber (QUCY) posted Non Operating Interest Expenses of $7,208 for Q2 2026, down 88.1% from $60,403 a year earlier and down 52.5% from the prior quarter.
Quantum Cyber (QUCY) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Quantum Cyber was $113,320, down 67.4% year-over-year; for FY2025, it was $373,458, down 60.5% from FY2024.
- In prior years, Quantum Cyber's Non Operating Interest Expenses was $945,545 in FY2024, -$522,400 in FY2023, -$242,020 in FY2022 and -$339,171 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Non Operating Interest Expenses since Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Quantum Cyber | 23.39 Mn | 2.38 Mn | - | 7,208.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7,208.00 |
| Mar 31, 2026 | 15,175.00 |
| Jun 30, 2025 | 60,403.00 |
| Mar 31, 2025 | 30,534.00 |
| Dec 31, 2023 | 35,146.00 |
| Sep 30, 2023 | 221,722.00 |
| Jun 30, 2023 | -127,763.00 |
| Mar 31, 2023 | 39,004.00 |
| Dec 31, 2022 | 19,836.00 |
| Sep 30, 2022 | 19,095.00 |
| Jun 30, 2022 | 20,074.00 |
| Mar 31, 2022 | 20,623.00 |
Quantum Cyber Non Operating Interest 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=non-operating-interest-expenses&ticker=QUCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=QUCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();