GT Biopharma (GTBP) Operating Margin (2010 - 2015)
GT Biopharma's Operating Margin came in at -33062.96% for FY2015, down 29135.09 percentage points from -3927.87% in FY2014.
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Analysis
GT Biopharma (GTBP) Operating Margin (2010 - 2015) Analysis & Trends
Going back to FY2010, GT Biopharma's Operating Margin data covers 5 years.
- Operating Margin carries a five-year change of -10362.96 percentage points (FY2010 to FY2015).
- The FY2015 figure represents the lowest annual Operating Margin in data going back to FY2010.
- Per Business Quant, earlier years put Operating Margin at -3927.87% in FY2014, -1027.49% in FY2012 (+14080.21 pp) and -15107.69% in FY2011 (+7592.31 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 37.40% |
| 10 | GT Biopharma | 9.57 Mn | 9.57 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | -7,155.00% |
| Mar 31, 2015 | -25,871.43% |
| Mar 31, 2013 | -394.32% |
| Dec 31, 2012 | -337.44% |
| Sep 30, 2012 | -1,125.00% |
| Jun 30, 2012 | -103,000.00% |
| Mar 31, 2012 | -39,600.00% |
| Dec 31, 2011 | -34,933.33% |
| Sep 30, 2011 | -27,050.00% |
| Jun 30, 2011 | -48,100.00% |
| Mar 31, 2011 | -9,290.00% |
| Dec 31, 2010 | -4,790.91% |
API Access
GT Biopharma Operating Margin 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=operating-margin&ticker=GTBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "GTBP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=GTBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();