Dare Bioscience (DARE) Operating Margin (2016 - 2026)
Dare Bioscience (DARE) posted Operating Margin of -1582.53% for Q2 2026.
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Analysis
Dare Bioscience (DARE) Operating Margin (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Dare Bioscience was -1001.35%; for FY2025, it was -1315.51%, up 238376.69 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of -1178.50 percentage points (FY2020 to FY2025).
- In prior years, Dare Bioscience's Operating Margin was -239692.20% in FY2024 (-238590.31 pp), -1101.89% in FY2023 (-788.04 pp) and -313.85% in FY2022.
- Quarterly Operating Margin has run from a low of -162340.76% in Q3 2025 to a high of 3.84% in Q2 2022 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 28.37% |
| 10 | Dare Bioscience | 10.13 Mn | -55.33 Mn | -132,343.00 | -1,582.53% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,582.53% |
| Dec 31, 2025 | -143.72% |
| Sep 30, 2025 | -162,340.76% |
| Mar 31, 2025 | -18,016.75% |
| Sep 30, 2024 | -11,228.68% |
| Jun 30, 2024 | -32,799.12% |
| Mar 31, 2024 | -64,743.85% |
| Dec 31, 2023 | -286.05% |
| Sep 30, 2023 | -839.64% |
| Jun 30, 2022 | 3.84% |
| Jun 30, 2017 | -74.71% |
| Mar 31, 2017 | -19.17% |
| Dec 31, 2016 | -24.63% |
API Access
Dare Bioscience Operating 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=operating-margin&ticker=DARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=DARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();