Protara Therapeutics (TARA) Total Non-Current Liabilities (2015 - 2016)
Protara Therapeutics (TARA) recorded Total Non-Current Liabilities of $4.84 million in Q3 2016, up 52.9% from $3.17 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Protara Therapeutics (TARA) Total Non-Current Liabilities (2015 - 2016) Analysis & Trends
At the end of FY2015, Protara Therapeutics reported Total Non-Current Liabilities of $3.6 million.
- Per Business Quant, the preceding three quarters came in at $4.5 million (Q2 2016), $3.27 million (Q1 2016) and $3.6 million (Q4 2015).
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 | Protara Therapeutics | 154.04 Mn | -412.46 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 4.84 Mn |
| Jun 30, 2016 | 4.50 Mn |
| Mar 31, 2016 | 3.27 Mn |
| Dec 31, 2015 | 3.60 Mn |
| Sep 30, 2015 | 3.17 Mn |
| Jun 30, 2015 | 2.77 Mn |
API Access
Protara Therapeutics 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=TARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TARA", "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=TARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();