Quantum Cyber (QUCY) Interest Expenses (2022 - 2026)
Quantum Cyber's Interest Expenses was $7,208 in Q2 2026, down 88.1% from $60,403 a year earlier and down 52.5% from the prior quarter.
Quantum Cyber (QUCY) Interest Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quantum Cyber's Interest Expenses was $113,320 through Jun 30, 2026, down 67.4% year-over-year; for FY2025, it was $373,458, up 88.6% from FY2024.
- Interest Expenses has now increased for three consecutive years.
- In earlier years, Interest Expenses was $198,061 in FY2024 (+29.0%), $153,580 in FY2023 (+22.3%), $125,543 in FY2022 and -$339,171 in FY2021.
- The Q2 2026 figure marks the lowest quarterly Interest Expenses since Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 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=interest-expenses&ticker=QUCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=QUCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();