Spectral AI (MDAI) Operating Interest Expenses (2025 - 2026)
Spectral AI's Operating Interest Expenses was $5,000 in Q2 2026, up 25.0% from $4,000 a year earlier but down 28.6% from the prior quarter.
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Analysis
Spectral AI (MDAI) Operating Interest Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Spectral AI's Operating Interest Expenses was $597,000 through Jun 30, 2026; for FY2025, it came in at $1.05 million, down 64.6% from FY2024.
- In earlier years, Operating Interest Expenses was $2.97 million in FY2024.
- Quarterly Operating Interest Expenses has moved between $4,000 (Q2 2025) and $581,000 (Q1 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | - |
| 10 | Spectral AI | 51.82 Mn | 217,734.54 | 1.11 Mn | 5,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5,000.00 |
| Mar 31, 2026 | 7,000.00 |
| Jun 30, 2025 | 4,000.00 |
| Mar 31, 2025 | 581,000.00 |
API Access
Spectral AI 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=operating-interest-expenses&ticker=MDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-interest-expenses&ticker=MDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();