Dare Bioscience (DARE) EPS (Basic) (2013 - 2026)
Dare Bioscience (DARE) reported EPS (Basic) of -$0.20 for Q2 2026, compared with -$0.45 a year earlier.
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Analysis
Dare Bioscience (DARE) EPS (Basic) (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dare Bioscience's EPS (Basic) came in at -$0.80; for FY2025, it came in at -$1.20.
- By year, EPS (Basic) came in at -$0.48 in FY2024, -$4.15 in FY2023, -$4.39 in FY2022 and -$7.59 in FY2021.
- Five-year quarterly EPS (Basic) spans a low of -$2.26 in Q4 2022 and a high of $1.53 in Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 2.30 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.04 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -0.54 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 1.68 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 1.87 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.40 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -8.44 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -0.04 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 4.34 |
| 10 | Dare Bioscience | 11.38 Mn | -54.09 Mn | -132,343.00 | -0.20 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.20 |
| Dec 31, 2025 | -0.13 |
| Sep 30, 2025 | -0.28 |
| Jun 30, 2025 | -0.45 |
| Mar 31, 2025 | -0.50 |
| Dec 31, 2024 | -0.65 |
| Sep 30, 2024 | -0.55 |
| Jun 30, 2024 | 1.53 |
| Mar 31, 2024 | -0.81 |
| Dec 31, 2023 | -1.20 |
| Sep 30, 2023 | -1.09 |
| Jun 30, 2023 | -1.22 |
| Mar 31, 2023 | -1.13 |
| Dec 31, 2022 | -2.26 |
| Sep 30, 2022 | -0.99 |
| Jun 30, 2022 | 0.06 |
| Mar 31, 2022 | -1.20 |
| Dec 31, 2021 | -1.87 |
| Sep 30, 2021 | -2.15 |
| Jun 30, 2021 | -2.18 |
API Access
Dare Bioscience EPS (Basic) 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=eps-basic&ticker=DARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=DARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();