Armata Pharmaceuticals (ARMP) Total Non-Current Liabilities (2013 - 2019)
Armata Pharmaceuticals' Total Non-Current Liabilities came in at $9.51 million for Q4 2019, up 65.9% from $5.73 million a year earlier but down 4.3% from the prior quarter.
Powered by 
Analysis
Armata Pharmaceuticals (ARMP) Total Non-Current Liabilities (2013 - 2019) Analysis & Trends
Going back to Q4 2013, Armata Pharmaceuticals' Total Non-Current Liabilities data covers 25 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -5.9% (FY2014 to FY2019).
- Going back by year, Total Non-Current Liabilities was $5.73 million in FY2018, -$13.5 million in FY2017, $5.99 million in FY2016 (-65.4%) and $17.28 million in FY2015 (+34.4%).
- The five-year range for quarterly Total Non-Current Liabilities is -$13.5 million (Q4 2017) to $22.26 million (Q1 2015).
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2019 (growth of 495.7%), and the weakest in Q2 2015 (a decline of 73.3%).
- Business Quant data shows ARMP's Total Non-Current Liabilities at $9.94 million (Q3 2019), $12.29 million (Q2 2019) and $4.51 million (Q1 2019) in the three quarters before Q4 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 | Armata Pharmaceuticals | 133.35 Mn | 81.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 9.51 Mn |
| Sep 30, 2019 | 9.94 Mn |
| Jun 30, 2019 | 12.29 Mn |
| Mar 31, 2019 | 4.51 Mn |
| Dec 31, 2018 | 5.73 Mn |
| Sep 30, 2018 | 1.67 Mn |
| Jun 30, 2018 | -24,000.00 |
| Mar 31, 2018 | -494,000.00 |
| Dec 31, 2017 | -13.50 Mn |
| Sep 30, 2017 | 3.62 Mn |
| Jun 30, 2017 | 4.86 Mn |
| Mar 31, 2017 | 5.33 Mn |
| Dec 31, 2016 | 5.99 Mn |
| Sep 30, 2016 | 6.54 Mn |
| Jun 30, 2016 | 6.49 Mn |
| Mar 31, 2016 | 19.27 Mn |
| Dec 31, 2015 | 17.28 Mn |
| Sep 30, 2015 | 16.29 Mn |
| Jun 30, 2015 | 13.25 Mn |
| Mar 31, 2015 | 22.26 Mn |
API Access
Armata 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=ARMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ARMP", "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=ARMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();