Dare Bioscience (DARE) Price to Book (2014 - 2025)
Dare Bioscience's (DARE) Price to Book stood at 7.59 in Q4 2025, down 25.8% from the prior quarter.
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Analysis
Dare Bioscience (DARE) Price to Book (2014 - 2025) Analysis & Trends
Starting with Q2 2014, Dare Bioscience's Price to Book history includes 35 quarters.
- Across earlier years, Price to Book came in at 6.34 in FY2022 (+100.8%) and 3.16 in FY2021.
- The Q4 2025 figure is the lowest quarterly Price to Book since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.69 Bn | 1,140.28 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 649.22 Bn | 569.08 Bn | 17.30 Bn |
| 3 | AbbVie | 504.17 Bn | 477.29 Bn | 12.70 Bn |
| 4 | Merck | 366.35 Bn | 320.73 Bn | 12.21 Bn |
| 5 | Novartis Ag | 303.54 Bn | 267.53 Bn | 11.24 Bn |
| 6 | Astrazeneca | 269.49 Bn | 243.18 Bn | 12.86 Bn |
| 7 | Amgen | 242.61 Bn | 198.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.09 Bn | 169.29 Bn | 6.22 Bn |
| 9 | Pfizer | 172.48 Bn | 119.12 Bn | 10.94 Bn |
| 10 | Dare Bioscience | 9.39 Mn | -56.08 Mn | -132,343.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.59 |
| Sep 30, 2025 | 10.24 |
| Jun 30, 2024 | 12.89 |
| Mar 31, 2023 | 18.03 |
| Dec 31, 2022 | 6.34 |
| Sep 30, 2022 | 3.19 |
| Jun 30, 2022 | 3.13 |
| Mar 31, 2022 | 4.05 |
| Dec 31, 2021 | 3.16 |
| Sep 30, 2021 | 4.01 |
| Jun 30, 2021 | 14.01 |
| Mar 31, 2021 | 24.54 |
| Jun 30, 2020 | 90.65 |
| Mar 31, 2020 | 6.53 |
| Dec 31, 2019 | 28.98 |
| Sep 30, 2019 | 7.19 |
| Jun 30, 2019 | 2.79 |
| Mar 31, 2019 | 4.23 |
| Dec 31, 2018 | 1.21 |
| Sep 30, 2018 | 1.16 |
API Access
Dare Bioscience 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=DARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "DARE", "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=DARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();