FibroBiologics (FBLG) Price to Book (2024 - 2026)
FibroBiologics' Price to Book came in at 1.36 for Q2 2026, down 95.5% from 30.30 a year earlier and down 28.8% from the prior quarter.
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Analysis
FibroBiologics (FBLG) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, FibroBiologics' Price to Book was 2.43, down 91.2% from FY2024.
- Going back by year, Price to Book was 27.59 in FY2024.
- The Q2 2026 figure represents the lowest quarterly Price to Book in data going back to Q3 2024.
- Year-over-year, Price to Book has declined for three consecutive quarters, with growth averaging 50.2% over the last four quarters.
- Business Quant data shows FBLG's Price to Book at 1.92 (Q1 2026), 2.43 (Q4 2025) and 224.76 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | FibroBiologics | 8.66 Mn | 8.66 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.36 |
| Mar 31, 2026 | 1.92 |
| Dec 31, 2025 | 2.43 |
| Sep 30, 2025 | 224.76 |
| Jun 30, 2025 | 30.30 |
| Mar 31, 2025 | 14.65 |
| Dec 31, 2024 | 27.59 |
| Sep 30, 2024 | 39.13 |
API Access
FibroBiologics 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=FBLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "FBLG", "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=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();