Dare Bioscience (DARE) Non Operating Income (2014 - 2017)
Dare Bioscience (DARE) posted Non Operating Income of -$110,000 for Q2 2017, compared with -$564,000 a year earlier.
Dare Bioscience (DARE) Non Operating Income (2014 - 2017) Analysis & Trends
For the trailing twelve months through Jun 30, 2017, Non Operating Income at Dare Bioscience was -$1.84 million; for FY2016, it came in at -$2.15 million.
- In prior years, Dare Bioscience's Non Operating Income was -$2.42 million in FY2015, -$3.06 million in FY2014 and -$1.28 million in FY2013.
- The Q2 2017 figure stands as the highest quarterly Non Operating Income since Q1 2014.
- According to Business Quant data, Non Operating Income for the three prior quarters was -$793,000 (Q1 2017), -$437,000 (Q4 2016) and -$496,000 (Q3 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | -202.00 Mn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | - |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | - |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 1.63 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | -130.00 Mn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | - |
| 10 | Dare Bioscience | 10.26 Mn | -68.69 Mn | -132,343.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | -110,000.00 |
| Mar 31, 2017 | -793,000.00 |
| Dec 31, 2016 | -437,000.00 |
| Sep 30, 2016 | -496,000.00 |
| Jun 30, 2016 | -564,000.00 |
| Mar 31, 2016 | -654,000.00 |
| Dec 31, 2015 | -687,000.00 |
| Sep 30, 2015 | -505,000.00 |
| Jun 30, 2015 | -512,000.00 |
| Mar 31, 2015 | -718,000.00 |
| Dec 31, 2014 | -159,000.00 |
| Sep 30, 2014 | -189,000.00 |
| Jun 30, 2014 | -2.76 Mn |
| Mar 31, 2014 | 44,000.00 |
Dare Bioscience Non Operating Income 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=non-operating-income&ticker=DARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=DARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();