Dare Bioscience (DARE) EBT (2016 - 2026)
Dare Bioscience's EBT was -$2.97 million in Q2 2026, compared with -$3.83 million a year earlier.
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Analysis
Dare Bioscience (DARE) EBT (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dare Bioscience's EBT was -$11.94 million through Jun 30, 2026; for FY2025, it came in at -$13.55 million.
- In earlier years, EBT was -$23.45 million in FY2024, -$30.94 million in FY2023, -$31.39 million in FY2022 and -$39.07 million in FY2021.
- Quarterly EBT has moved between -$16.23 million (Q4 2022) and $384,322 (Q2 2022) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.26 Bn | 1,105.84 Bn | 19.71 Bn | 9.25 Bn |
| 2 | Johnson & Johnson | 618.12 Bn | 536.65 Bn | 17.26 Bn | 6.75 Bn |
| 3 | AbbVie | 503.25 Bn | 476.36 Bn | 12.70 Bn | 4.28 Bn |
| 4 | Merck | 368.28 Bn | 322.66 Bn | 12.21 Bn | -683.00 Mn |
| 5 | Novartis Ag | 298.45 Bn | 262.44 Bn | 11.24 Bn | 4.27 Bn |
| 6 | Astrazeneca | 261.39 Bn | 235.08 Bn | 12.86 Bn | 2.80 Bn |
| 7 | Amgen | 237.30 Bn | 192.70 Bn | 7.24 Bn | 2.77 Bn |
| 8 | Gilead Sciences | 191.35 Bn | 165.55 Bn | 6.22 Bn | -10.25 Bn |
| 9 | Pfizer | 169.92 Bn | 116.56 Bn | 10.94 Bn | -653.00 Mn |
| 10 | Dare Bioscience | 10.28 Mn | -55.19 Mn | -132,343.00 | -2.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.97 Mn |
| Dec 31, 2025 | -1.47 Mn |
| Sep 30, 2025 | -3.67 Mn |
| Jun 30, 2025 | -3.83 Mn |
| Mar 31, 2025 | -4.56 Mn |
| Dec 31, 2024 | -5.39 Mn |
| Sep 30, 2024 | -4.68 Mn |
| Jun 30, 2024 | -7.36 Mn |
| Mar 31, 2024 | -6.14 Mn |
| Dec 31, 2023 | -5.17 Mn |
| Sep 30, 2023 | -8.40 Mn |
| Jun 30, 2023 | -8.99 Mn |
| Mar 31, 2023 | -8.38 Mn |
| Dec 31, 2022 | -16.23 Mn |
| Sep 30, 2022 | -7.14 Mn |
| Jun 30, 2022 | 384,322.00 |
| Mar 31, 2022 | -8.40 Mn |
| Dec 31, 2021 | -9.54 Mn |
| Sep 30, 2021 | -12.67 Mn |
| Jun 30, 2021 | -9.16 Mn |
API Access
Dare Bioscience EBT 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=ebt&ticker=DARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=DARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();