Biofrontera (BFRI) Price to Book (2021 - 2026)
Biofrontera's Price to Book was 2.27 in Q2 2026.
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Analysis
Biofrontera (BFRI) Price to Book (2021 - 2026) Analysis & Trends
For FY2025, Price to Book at Biofrontera came in at 0.63, down 53.3% from FY2024.
- In earlier years, Price to Book was 1.36 in FY2024 (+54.6%), 0.88 in FY2023 (+8.0%), 0.81 in FY2022 (-86.1%) and 5.84 in FY2021.
- The Q2 2026 figure marks the highest quarterly Price to Book since Q1 2025.
- The best year-over-year quarter for Price to Book over five years was Q3 2023 (growth of 955.8%); the worst was Q3 2024 (a decline of 86.4%).
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 | Biofrontera | 15.34 Mn | -6.45 Mn | 9.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.27 |
| Dec 31, 2025 | 0.63 |
| Mar 31, 2025 | 15.14 |
| Dec 31, 2024 | 1.36 |
| Sep 30, 2024 | 1.57 |
| Jun 30, 2024 | 0.42 |
| Dec 31, 2023 | 0.88 |
| Sep 30, 2023 | 11.56 |
| Jun 30, 2023 | 1.98 |
| Mar 31, 2023 | 0.97 |
| Dec 31, 2022 | 0.81 |
| Sep 30, 2022 | 1.09 |
| Jun 30, 2022 | 2.05 |
| Mar 31, 2022 | 3.27 |
| Dec 31, 2021 | 5.84 |
API Access
Biofrontera 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=BFRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "BFRI", "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=BFRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();