Dare Bioscience (DARE) EBITDA Margin (2016 - 2025)
Dare Bioscience's EBITDA Margin was -91.52% in Q4 2025, up 141458.61 percentage points from the prior quarter.
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Analysis
Dare Bioscience (DARE) EBITDA Margin (2016 - 2025) Analysis & Trends
For FY2025, EBITDA Margin at Dare Bioscience came in at -1156.86%, up 238102.75 percentage points from FY2024.
- EBITDA Margin shows a five-year change of -1020.06 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was -239259.61% in FY2024 (-238159.08 pp), -1100.53% in FY2023 (-786.91 pp) and -313.61% in FY2022.
- The Q4 2025 figure marks the highest quarterly EBITDA Margin since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 53.49% |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 35.95% |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 49.01% |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 6.02% |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.11% |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 46.01% |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -124.26% |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 39.16% |
| 10 | Dare Bioscience | 10.13 Mn | -55.33 Mn | -132,343.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -91.52% |
| Sep 30, 2025 | -136,057.16% |
| Mar 31, 2025 | -17,325.98% |
| Sep 30, 2024 | -11,205.31% |
| Jun 30, 2024 | -32,635.77% |
| Mar 31, 2024 | -64,620.90% |
| Dec 31, 2023 | -285.50% |
| Sep 30, 2023 | -838.72% |
| Jun 30, 2022 | 3.90% |
| Jun 30, 2017 | -72.53% |
| Mar 31, 2017 | 37.55% |
| Dec 31, 2016 | -4.91% |
API Access
Dare Bioscience EBITDA Margin 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=ebitda-margin&ticker=DARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=DARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();