Dare Bioscience (DARE) Return on Sales [ROS] (2016 - 2026)
Dare Bioscience (DARE) recorded Return on Sales [ROS] of -1582.53% in Q2 2026.
Dare Bioscience (DARE) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a TTM basis, Dare Bioscience's Return on Sales [ROS] came in at -1001.35% as of Jun 30, 2026; for FY2025, it was -1315.51%, up 238376.69 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -1178.50 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -239692.20% in FY2024 (-238590.31 pp), -1101.89% in FY2023 (-788.04 pp) and -313.85% in FY2022.
- Quarterly Return on Sales [ROS] has ranged from -239692.20% in Q4 2024 to 3.84% in Q2 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last five quarters, with an average year-over-year change of -22926.34 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 239548.48 percentage points in Q4 2025, against a drop of 239406.15 percentage points in Q4 2024 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 28.37% |
| 10 | Dare Bioscience | 9.86 Mn | -55.60 Mn | -132,343.00 | -1,582.53% |
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% |
| Dec 31, 2024 | -239,692.20% |
| 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% |
| Mar 31, 2023 | -313.68% |
| Dec 31, 2022 | -313.85% |
| Sep 30, 2022 | -246.98% |
| Jun 30, 2022 | 3.84% |
| Sep 30, 2021 | -10,981.13% |
| Jun 30, 2021 | -2,138.13% |
| Sep 30, 2017 | -96.81% |
| Jun 30, 2017 | -74.71% |
| Mar 31, 2017 | -19.17% |
| Dec 31, 2016 | -24.63% |
Dare Bioscience Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();