Cardio Diagnostics Holdings (CDIO) Non Operating Interest Expenses (2023 - 2026)
Cardio Diagnostics Holdings (CDIO) reported Non Operating Interest Expenses of $3,440 for Q2 2026, down 26.7% from $4,690 a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Cardio Diagnostics Holdings (CDIO) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cardio Diagnostics Holdings' Non Operating Interest Expenses came in at $12,299, down 24.9% year-over-year; for FY2025, it came in at $14,801, down 20.6% from FY2024.
- By year, Non Operating Interest Expenses came in at $18,640 in FY2024 (-99.7%) and $6.74 million in FY2023.
- Five-year quarterly Non Operating Interest Expenses spans a low of $2,292 in Q4 2025 and a high of $5.02 million in Q1 2023.
- Year over year, Non Operating Interest Expenses has now declined in each of the last ten quarters, with an average decline of 41.8% over the last eight quarters.
- Across the past five years, year-over-year decline in Non Operating Interest Expenses ran from 19.4% in Q1 2025 to 99.9% in Q1 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $3,439 (Q1 2026), $2,292 (Q4 2025) and $3,128 (Q3 2025).
Peer Set
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 | Cardio Diagnostics Holdings | 5.62 Mn | -18.51 Mn | - | 3,440.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,440.00 |
| Mar 31, 2026 | 3,439.00 |
| Dec 31, 2025 | 2,292.00 |
| Sep 30, 2025 | 3,128.00 |
| Jun 30, 2025 | 4,690.00 |
| Mar 31, 2025 | 4,691.00 |
| Dec 31, 2024 | 3,127.00 |
| Sep 30, 2024 | 3,879.00 |
| Jun 30, 2024 | 5,817.00 |
| Mar 31, 2024 | 5,817.00 |
| Dec 31, 2023 | 96,101.00 |
| Sep 30, 2023 | 570,385.00 |
| Jun 30, 2023 | 1.05 Mn |
| Mar 31, 2023 | 5.02 Mn |
API Access
Cardio Diagnostics Holdings 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=CDIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CDIO", "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=CDIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();