Dare Bioscience (DARE) Receivables - Net (2013 - 2022)
Dare Bioscience's Receivables - Net came in at $10 million for Q2 2022.
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Analysis
Dare Bioscience (DARE) Receivables - Net (2013 - 2022) Analysis & Trends
At the end of FY2016, Dare Bioscience's Receivables - Net was $1.84 million, up 32.0% from FY2015.
- Receivables - Net carries a three-year compound annual growth rate of 24.3% (FY2013 to FY2016).
- Going back by year, Receivables - Net was $1.39 million in FY2015 (-16.1%), $1.66 million in FY2014 (+73.3%) and $959,000 in FY2013.
- The Q2 2022 figure represents the highest quarterly Receivables - Net in data going back to Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Dare Bioscience | 10.13 Mn | -55.33 Mn | -132,343.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 10.00 Mn |
| Jun 30, 2017 | 890,000.00 |
| Mar 31, 2017 | 1.14 Mn |
| Dec 31, 2016 | 1.84 Mn |
| Sep 30, 2016 | 1.15 Mn |
| Jun 30, 2016 | 1.73 Mn |
| Mar 31, 2016 | 1.59 Mn |
| Dec 31, 2015 | 1.39 Mn |
| Sep 30, 2015 | 1.52 Mn |
| Jun 30, 2015 | 1.61 Mn |
| Mar 31, 2015 | 2.27 Mn |
| Dec 31, 2014 | 1.66 Mn |
| Sep 30, 2014 | 1.91 Mn |
| Jun 30, 2014 | 1.12 Mn |
| Mar 31, 2014 | 3.03 Mn |
| Dec 31, 2013 | 959,000.00 |
API Access
Dare Bioscience Receivables - Net 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=receivables-net&ticker=DARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=DARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();