Biocryst Pharmaceuticals (BCRX) Total Non-Current Liabilities (2010 - 2019)
Biocryst Pharmaceuticals (BCRX) posted Total Non-Current Liabilities of $128.21 million for Q3 2019, up 34.5% from $95.35 million a year earlier and up 5.3% from the prior quarter.
Biocryst Pharmaceuticals (BCRX) Total Non-Current Liabilities (2010 - 2019) Analysis & Trends
At the end of FY2018, Biocryst Pharmaceuticals' Total Non-Current Liabilities came in at $97.55 million, up 3.4% from FY2017.
- Annual Total Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 14.3% (FY2013 to FY2018).
- In prior years, Biocryst Pharmaceuticals' Total Non-Current Liabilities was $94.34 million in FY2017 (+7.2%), $88.03 million in FY2016 (+18.5%), $74.31 million in FY2015 (+22.1%) and $60.85 million in FY2014 (+21.7%).
- The Q3 2019 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 13 quarters, with growth averaging 14.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2015, with growth of 50.2%; the weakest was Q2 2016, with a decline of 8.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $121.8 million (Q2 2019), $115.94 million (Q1 2019) and $97.55 million (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Biocryst Pharmaceuticals | 2.11 Bn | 1.03 Bn | 214.41 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 128.21 Mn |
| Jun 30, 2019 | 121.80 Mn |
| Mar 31, 2019 | 115.94 Mn |
| Dec 31, 2018 | 97.55 Mn |
| Sep 30, 2018 | 95.35 Mn |
| Jun 30, 2018 | 90.35 Mn |
| Mar 31, 2018 | 93.19 Mn |
| Dec 31, 2017 | 94.34 Mn |
| Sep 30, 2017 | 90.68 Mn |
| Jun 30, 2017 | 89.23 Mn |
| Mar 31, 2017 | 90.76 Mn |
| Dec 31, 2016 | 88.03 Mn |
| Sep 30, 2016 | 85.61 Mn |
| Jun 30, 2016 | 67.86 Mn |
| Mar 31, 2016 | 74.77 Mn |
| Dec 31, 2015 | 74.31 Mn |
| Sep 30, 2015 | 74.57 Mn |
| Jun 30, 2015 | 73.73 Mn |
| Mar 31, 2015 | 65.12 Mn |
| Dec 31, 2014 | 60.85 Mn |
Biocryst Pharmaceuticals 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=BCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BCRX", "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=BCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();