Quantum Cyber (QUCY) Interest Expenses (2025 - 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.
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Analysis
Quantum Cyber (QUCY) Interest Expenses (2025 - 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 252.98 Bn | 232.01 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 177.47 Bn | 147.90 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 163.81 Bn | 147.62 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 155.89 Bn | 135.31 Bn | 1.96 Bn | - |
| 5 | Medtronic | 122.62 Bn | 87.88 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 118.28 Bn | 104.39 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 67.06 Bn | 61.83 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 54.67 Bn | 51.82 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 51.64 Bn | 35.65 Bn | 1.35 Bn | - |
| 10 | Quantum Cyber | 18.79 Mn | -2.22 Mn | - | 7,208.00 |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();