Moleculin Biotech (MBRX) Price to Book (2016 - 2026)
Moleculin Biotech's (MBRX) Price to Book stood at 1.37 in Q2 2026.
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Analysis
Moleculin Biotech (MBRX) Price to Book (2016 - 2026) Analysis & Trends
For FY2025, Moleculin Biotech's Price to Book came in at 0.26, down 49.0% from FY2024.
- Across earlier years, Price to Book came in at 0.51 in FY2024 (-44.7%), 0.93 in FY2023 (+59.4%), 0.58 in FY2022 (-13.6%) and 0.67 in FY2021 (-78.3%).
- The Q2 2026 figure is the highest quarterly Price to Book since Q4 2020.
- On a year-over-year basis, Price to Book rose in two of the last four quarters, with an average decline of 9.5%.
- Peak year-over-year performance for Price to Book in the last five years was growth of 59.4% in Q4 2023, against a decline of 78.3% in Q4 2021 at the low end.
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 | Moleculin Biotech | 2.84 Mn | 2.84 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.37 |
| Dec 31, 2025 | 0.26 |
| Mar 31, 2025 | 0.66 |
| Dec 31, 2024 | 0.51 |
| Sep 30, 2024 | 0.49 |
| Jun 30, 2024 | 0.46 |
| Mar 31, 2024 | 0.55 |
| Dec 31, 2023 | 0.93 |
| Sep 30, 2023 | 0.36 |
| Jun 30, 2023 | 0.43 |
| Mar 31, 2023 | 0.62 |
| Dec 31, 2022 | 0.58 |
| Sep 30, 2022 | 0.52 |
| Jun 30, 2022 | 0.63 |
| Mar 31, 2022 | 0.70 |
| Dec 31, 2021 | 0.67 |
| Sep 30, 2021 | 1.06 |
| Jun 30, 2021 | 1.24 |
| Mar 31, 2021 | 1.01 |
| Dec 31, 2020 | 3.11 |
API Access
Moleculin Biotech 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=MBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "MBRX", "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=MBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();