Spectral AI (MDAI) Non Operating Interest Expenses (2024 - 2026)
Spectral AI (MDAI) reported Non Operating Interest Expenses of $378,000 for Q2 2026, down 4.8% from $397,000 a year earlier but up 46.5% from the prior quarter.
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Analysis
Spectral AI (MDAI) Non Operating Interest Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Spectral AI's Non Operating Interest Expenses came in at $1.23 million; for FY2025, it was $886,000.
- By year, Non Operating Interest Expenses came in at -$14,000 in FY2024.
- Five-year quarterly Non Operating Interest Expenses spans a low of $8,000 in Q3 2024 and a high of $397,000 in Q2 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $258,000 (Q1 2026), $289,000 (Q4 2025) and $300,000 (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 | Spectral AI | 53.43 Mn | 1.83 Mn | 1.11 Mn | 378,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 378,000.00 |
| Mar 31, 2026 | 258,000.00 |
| Dec 31, 2025 | 289,000.00 |
| Sep 30, 2025 | 300,000.00 |
| Jun 30, 2025 | 397,000.00 |
| Mar 31, 2025 | 20,000.00 |
| Sep 30, 2024 | 8,000.00 |
API Access
Spectral AI 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=MDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "MDAI", "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=MDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();