Protara Therapeutics (TARA) Interest Expenses (2013 - 2014)
Protara Therapeutics (TARA) reported Interest Expenses of $13,000 for Q4 2014, down 98.1% from $693,000 a year earlier.
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Analysis
Protara Therapeutics (TARA) Interest Expenses (2013 - 2014) Analysis & Trends
For FY2014, Protara Therapeutics posted Interest Expenses of $857,000, down 0.5% from FY2013.
- By year, Interest Expenses came in at $861,000 in FY2013.
- Five-year quarterly Interest Expenses spans a low of -$10,000 in Q3 2014 and a high of $828,000 in Q1 2014.
- Per Business Quant data, the three quarters before Q4 2014 came in at -$10,000 (Q3 2014), $29,000 (Q2 2014) and $828,000 (Q1 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Protara Therapeutics | 180.21 Mn | 180.21 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 13,000.00 |
| Sep 30, 2014 | -10,000.00 |
| Jun 30, 2014 | 29,000.00 |
| Mar 31, 2014 | 828,000.00 |
| Dec 31, 2013 | 693,000.00 |
| Sep 30, 2013 | 171,000.00 |
API Access
Protara Therapeutics Interest Expenses 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=interest-expenses&ticker=TARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=TARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();