Spectral AI (MDAI) EBITDA (2022 - 2026)
Spectral AI (MDAI) recorded EBITDA of -$4.29 million in Q2 2026, compared with -$2.11 million a year earlier.
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Analysis
Spectral AI (MDAI) EBITDA (2022 - 2026) Analysis & Trends
On a TTM basis, Spectral AI's EBITDA came in at -$11.76 million as of Jun 30, 2026; for FY2025, it came in at -$8.53 million.
- Across earlier years, EBITDA came in at -$6.57 million in FY2024, -$12.98 million in FY2023 and -$2.64 million in FY2022.
- The Q2 2026 figure is the lowest quarterly EBITDA in data going back to Q4 2022.
- Per Business Quant, the preceding three quarters came in at -$1.94 million (Q1 2026), -$2.21 million (Q4 2025) and -$3.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Spectral AI | 51.82 Mn | 217,734.54 | 1.11 Mn | -4.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.29 Mn |
| Mar 31, 2026 | -1.94 Mn |
| Dec 31, 2025 | -2.21 Mn |
| Sep 30, 2025 | -3.31 Mn |
| Jun 30, 2025 | -2.11 Mn |
| Mar 31, 2025 | -894,000.00 |
| Dec 31, 2024 | -1.11 Mn |
| Sep 30, 2024 | -885,000.00 |
| Jun 30, 2024 | -2.44 Mn |
| Mar 31, 2024 | -2.14 Mn |
| Dec 31, 2023 | -2.93 Mn |
| Sep 30, 2023 | -4.16 Mn |
| Jun 30, 2023 | -2.99 Mn |
| Mar 31, 2023 | -2.90 Mn |
| Dec 31, 2022 | -1.76 Mn |
API Access
Spectral AI EBITDA 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=ebitda&ticker=MDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();