Spectral AI (MDAI) Price to Book (2021 - 2023)
Spectral AI's (MDAI) Price to Book came in at 27.69 for Q3 2023, up 19.6% from 23.15 a year earlier and up 148.7% from the prior quarter.
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Analysis
Spectral AI (MDAI) Price to Book (2021 - 2023) Analysis & Trends
For FY2022, Spectral AI's Price to Book stood at 26.45, up 31.6% from FY2021.
- In prior years, Spectral AI's Price to Book was 20.11 in FY2021.
- The Q3 2023 figure stands as the highest quarterly Price to Book in data going back to Q4 2021.
- On a year-over-year basis, Price to Book increased in two of the last four quarters, with an average decline of 17.1%.
- According to Business Quant data, Price to Book for the three prior quarters was 11.13 (Q2 2023), 7.25 (Q1 2023) and 26.45 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Spectral AI | 53.43 Mn | 1.83 Mn | 1.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 27.69 |
| Jun 30, 2023 | 11.13 |
| Mar 31, 2023 | 7.25 |
| Dec 31, 2022 | 26.45 |
| Sep 30, 2022 | 23.15 |
| Jun 30, 2022 | 22.83 |
| Mar 31, 2022 | 22.79 |
| Dec 31, 2021 | 20.11 |
API Access
Spectral AI Price to Book 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=price-to-book&ticker=MDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=MDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();