Assembly Biosciences (ASMB) Total Non-Current Liabilities (2014 - 2019)
Assembly Biosciences (ASMB) recorded Total Non-Current Liabilities of $66.69 million in Q4 2019, up 71.4% from $38.92 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Assembly Biosciences (ASMB) Total Non-Current Liabilities (2014 - 2019) Analysis & Trends
Starting with Q4 2014, Assembly Biosciences' Total Non-Current Liabilities history includes 20 quarters.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 41.9% (FY2014 to FY2019).
- Across earlier years, Total Non-Current Liabilities came in at $38.92 million in FY2018 (-8.8%), $42.69 million in FY2017 (+283.9%), $11.12 million in FY2016 (-4.1%) and $11.6 million in FY2015 (unchanged).
- Quarterly Total Non-Current Liabilities has ranged from $11.12 million in Q4 2016 to $68.85 million in Q1 2019 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 23.6% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 377.9% in Q1 2017, against a decline of 26.5% in Q3 2018 at the low end.
- Per Business Quant, the preceding three quarters came in at $66.86 million (Q3 2019), $66.8 million (Q2 2019) and $68.85 million (Q1 2019).
Peer Set
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 | Assembly Biosciences | 466.09 Mn | -561.54 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 66.69 Mn |
| Sep 30, 2019 | 66.86 Mn |
| Jun 30, 2019 | 66.80 Mn |
| Mar 31, 2019 | 68.85 Mn |
| Dec 31, 2018 | 38.92 Mn |
| Sep 30, 2018 | 38.93 Mn |
| Jun 30, 2018 | 40.19 Mn |
| Mar 31, 2018 | 41.46 Mn |
| Dec 31, 2017 | 42.69 Mn |
| Sep 30, 2017 | 52.96 Mn |
| Jun 30, 2017 | 54.25 Mn |
| Mar 31, 2017 | 55.44 Mn |
| Dec 31, 2016 | 11.12 Mn |
| Sep 30, 2016 | 11.60 Mn |
| Jun 30, 2016 | 11.60 Mn |
| Mar 31, 2016 | 11.60 Mn |
| Dec 31, 2015 | 11.60 Mn |
| Sep 30, 2015 | 11.60 Mn |
| Jun 30, 2015 | 11.60 Mn |
| Dec 31, 2014 | 11.60 Mn |
API Access
Assembly Biosciences 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=ASMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ASMB", "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=ASMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();