Spectral AI (MDAI) Enterprise Value (2021 - 2026)
Spectral AI (MDAI) posted Enterprise Value of $41.68 million for Q2 2026, down 21.8% from $53.31 million a year earlier but up 18.8% from the prior quarter.
Powered by 
Analysis
Spectral AI (MDAI) Enterprise Value (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Spectral AI was $4.08 million, down 86.6% year-over-year; for FY2025, it was $28.18 million, down 38.2% from FY2024.
- Annual Enterprise Value shows a four-year compound annual growth rate of -42.6% (FY2021 to FY2025).
- In prior years, Spectral AI's Enterprise Value was $45.6 million in FY2024 (+29.2%), $35.3 million in FY2023 (-88.4%), $303.17 million in FY2022 (+16.4%) and $260.42 million in FY2021.
- Quarterly Enterprise Value has run from a low of $15.37 million in Q1 2025 to a high of $508.68 million in Q3 2021 over five years.
- On a year-over-year basis, Enterprise Value increased in four of the last eight quarters, with growth averaging 43.5%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2025, with growth of 224.3%; the weakest was Q3 2023, with a decline of 88.9%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $35.08 million (Q1 2026), $28.18 million (Q4 2025) and $51.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.68 Mn |
| Mar 31, 2026 | 35.08 Mn |
| Dec 31, 2025 | 28.18 Mn |
| Sep 30, 2025 | 51.63 Mn |
| Jun 30, 2025 | 53.31 Mn |
| Mar 31, 2025 | 15.37 Mn |
| Dec 31, 2024 | 45.60 Mn |
| Sep 30, 2024 | 15.92 Mn |
| Jun 30, 2024 | 24.11 Mn |
| Mar 31, 2024 | 27.08 Mn |
| Dec 31, 2023 | 35.30 Mn |
| Sep 30, 2023 | 32.97 Mn |
| Jun 30, 2023 | 66.64 Mn |
| Mar 31, 2023 | 62.46 Mn |
| Dec 31, 2022 | 303.17 Mn |
| Sep 30, 2022 | 296.90 Mn |
| Jun 30, 2022 | 310.02 Mn |
| Mar 31, 2022 | 308.51 Mn |
| Dec 31, 2021 | 260.42 Mn |
| Sep 30, 2021 | 508.68 Mn |
API Access
Spectral AI Enterprise Value 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=enterprise-value&ticker=MDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();