NovaBridge Biosciences (NBP) Price to Book (2020 - 2026)
NovaBridge Biosciences' Price to Book was 1.07 in Q2 2026, down 7.4% from 1.15 a year earlier.
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Analysis
NovaBridge Biosciences (NBP) Price to Book (2020 - 2026) Analysis & Trends
For FY2025, Price to Book at NovaBridge Biosciences came in at 1.90, up 379.2% from FY2024.
- In earlier years, Price to Book was 0.40 in FY2024 (-45.5%), 0.73 in FY2023 (-23.9%), 0.95 in FY2022 (-84.3%) and 6.09 in FY2021 (+66.1%).
- The Q2 2026 figure marks the lowest quarterly Price to Book since Q1 2025.
- Compared with a year earlier, Price to Book was higher in three of the last five quarters, with growth averaging 112.8%.
- The best year-over-year quarter for Price to Book over five years was Q4 2025 (growth of 379.2%); the worst was Q4 2022 (a decline of 84.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | NovaBridge Biosciences | 147.57 Mn | 147.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 |
| Dec 31, 2025 | 1.90 |
| Sep 30, 2025 | 1.37 |
| Jun 30, 2025 | 1.15 |
| Mar 31, 2025 | 0.39 |
| Dec 31, 2024 | 0.40 |
| Sep 30, 2024 | 0.52 |
| Jun 30, 2024 | 0.65 |
| Dec 31, 2023 | 0.74 |
| Jun 30, 2023 | 0.85 |
| Dec 31, 2022 | 0.98 |
| Jun 30, 2022 | 1.73 |
| Dec 31, 2021 | 6.11 |
| Jun 30, 2021 | 6.66 |
| Dec 31, 2020 | 3.72 |
API Access
NovaBridge 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=NBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "NBP", "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=NBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();