Spectral AI (MDAI) Interest Expenses (2024 - 2026)
Spectral AI (MDAI) posted Interest Expenses of $383,000 for Q2 2026, down 4.5% from $401,000 a year earlier but up 44.5% from the prior quarter.
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Analysis
Spectral AI (MDAI) Interest Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Spectral AI was $1.24 million; for FY2025, it came in at $1.94 million, down 34.4% from FY2024.
- In prior years, Spectral AI's Interest Expenses was $2.95 million in FY2024.
- Quarterly Interest Expenses has run from a low of $8,000 in Q3 2024 to a high of $601,000 in Q1 2025 over five years.
- According to Business Quant data, Interest Expenses for the three prior quarters was $265,000 (Q1 2026), $289,000 (Q4 2025) and $300,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 417.00 Mn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Spectral AI | 48.76 Mn | -2.84 Mn | 1.11 Mn | 383,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 383,000.00 |
| Mar 31, 2026 | 265,000.00 |
| Dec 31, 2025 | 289,000.00 |
| Sep 30, 2025 | 300,000.00 |
| Jun 30, 2025 | 401,000.00 |
| Mar 31, 2025 | 601,000.00 |
| Sep 30, 2024 | 8,000.00 |
API Access
Spectral AI 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=MDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=MDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();