Bluejay Diagnostics (BJDX) Non Operating Interest Expenses (2024 - 2025)
Bluejay Diagnostics (BJDX) reported Non Operating Interest Expenses of $187.00 for Q4 2025, down 74.3% from $729.00 a year earlier and down 6.5% from the prior quarter.
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Analysis
Bluejay Diagnostics (BJDX) Non Operating Interest Expenses (2024 - 2025) Analysis & Trends
For FY2025, Bluejay Diagnostics posted Non Operating Interest Expenses of $839.00, down 99.9% from FY2024.
- By year, Non Operating Interest Expenses came in at $823,028 in FY2024.
- Year over year, Non Operating Interest Expenses has now declined in each of the last three quarters.
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 | Bluejay Diagnostics | 1.69 Mn | 1.69 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 187.00 |
| Sep 30, 2025 | 200.00 |
| Jun 30, 2025 | 222.00 |
| Dec 31, 2024 | 729.00 |
| Sep 30, 2024 | 190,610.00 |
| Jun 30, 2024 | 626,471.00 |
API Access
Bluejay Diagnostics 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=BJDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "BJDX", "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=BJDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();