Dare Bioscience (DARE) Total Non-Current Liabilities (2013 - 2021)
Dare Bioscience's Total Non-Current Liabilities was $17.05 million in Q4 2021, up 96.9% from $8.66 million a year earlier.
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Analysis
Dare Bioscience (DARE) Total Non-Current Liabilities (2013 - 2021) Analysis & Trends
From Q4 2013 onward, Dare Bioscience has reported Total Non-Current Liabilities for 31 quarters.
- Total Non-Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 17.4% (FY2016 to FY2021).
- In earlier years, Total Non-Current Liabilities was $8.66 million in FY2020 (+44.3%), $6 million in FY2019 (+450.1%), $1.09 million in FY2018 (+12.9%) and $966,653 in FY2017 (-87.3%).
- The Q4 2021 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2013.
- Compared with a year earlier, Total Non-Current Liabilities was higher in five of the last six quarters, with growth averaging 210.3%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2020 (growth of 490.3%); the worst was Q2 2017 (a decline of 92.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Dare Bioscience | 10.13 Mn | -55.33 Mn | -132,343.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 17.05 Mn |
| Jun 30, 2021 | 6.08 Mn |
| Dec 31, 2020 | 8.66 Mn |
| Sep 30, 2020 | 9.05 Mn |
| Jun 30, 2020 | 7.26 Mn |
| Mar 31, 2020 | 5.72 Mn |
| Dec 31, 2019 | 5.61 Mn |
| Sep 30, 2019 | 1.89 Mn |
| Jun 30, 2019 | 1.97 Mn |
| Mar 31, 2019 | 1.02 Mn |
| Dec 31, 2018 | 1.09 Mn |
| Sep 30, 2018 | 1.20 Mn |
| Jun 30, 2018 | 1.27 Mn |
| Mar 31, 2018 | 807,607.00 |
| Dec 31, 2017 | 966,653.00 |
| Sep 30, 2017 | 839,374.00 |
| Jun 30, 2017 | 743,000.00 |
| Mar 31, 2017 | 1.53 Mn |
| Dec 31, 2016 | 7.64 Mn |
| Sep 30, 2016 | 7.63 Mn |
API Access
Dare Bioscience Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();