MBX Biosciences (MBX) Price to Book (2024 - 2026)
MBX Biosciences' Price to Book was 6.46 in Q2 2026, up 269.7% from 1.75 a year earlier and up 99.2% from the prior quarter.
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Analysis
MBX Biosciences (MBX) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, Price to Book at MBX Biosciences came in at 3.12, up 309.3% from FY2024.
- In earlier years, Price to Book was 0.76 in FY2024.
- The Q2 2026 figure marks the highest quarterly Price to Book in data going back to Q3 2024.
- Compared with a year earlier, Price to Book has increased for four straight quarters, with growth averaging 234.0% over the last four quarters.
- Per Business Quant data, MBX's Price to Book in the three quarters before Q2 2026 was 3.24 (Q1 2026), 3.12 (Q4 2025) and 1.54 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn |
| 10 | MBX Biosciences | 2.57 Bn | 2.57 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.46 |
| Mar 31, 2026 | 3.24 |
| Dec 31, 2025 | 3.12 |
| Sep 30, 2025 | 1.54 |
| Jun 30, 2025 | 1.75 |
| Mar 31, 2025 | 1.05 |
| Dec 31, 2024 | 0.76 |
| Sep 30, 2024 | 0.62 |
API Access
MBX Biosciences 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=MBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "MBX", "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=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();