Medicinova (MNOV) Price to Book (2010 - 2026)
Medicinova's Price to Book came in at 1.74 for Q2 2026, up 27.1% from 1.37 a year earlier.
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Analysis
Medicinova (MNOV) Price to Book (2010 - 2026) Analysis & Trends
For FY2025, Medicinova's Price to Book was 1.55, down 21.0% from FY2024.
- Going back by year, Price to Book was 1.96 in FY2024 (+66.3%), 1.18 in FY2023 (-17.6%), 1.43 in FY2022 (-8.9%) and 1.57 in FY2021 (-52.7%).
- The Q2 2026 figure represents the highest quarterly Price to Book since Q4 2024.
- Year-over-year, Price to Book increased in five of the last seven quarters, with growth averaging 14.1%.
- The fastest year-over-year change in Price to Book over five years came in Q4 2024 (growth of 66.3%), and the weakest in Q4 2021 (a decline of 52.7%).
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 | Medicinova | 80.23 Mn | 80.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.74 |
| Dec 31, 2025 | 1.55 |
| Sep 30, 2025 | 1.42 |
| Jun 30, 2025 | 1.37 |
| Mar 31, 2025 | 1.43 |
| Dec 31, 2024 | 1.96 |
| Sep 30, 2024 | 1.87 |
| Jun 30, 2024 | 1.23 |
| Mar 31, 2024 | 1.19 |
| Dec 31, 2023 | 1.18 |
| Sep 30, 2023 | 1.59 |
| Jun 30, 2023 | 1.73 |
| Mar 31, 2023 | 1.56 |
| Dec 31, 2022 | 1.43 |
| Sep 30, 2022 | 1.46 |
| Jun 30, 2022 | 1.62 |
| Mar 31, 2022 | 1.63 |
| Dec 31, 2021 | 1.57 |
| Sep 30, 2021 | 2.15 |
| Jun 30, 2021 | 2.33 |
API Access
Medicinova 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=MNOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "MNOV", "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=MNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();