GT Biopharma (GTBP) Return on Sales [ROS] (2009 - 2016)
GT Biopharma's Return on Sales [ROS] came in at -55085.00% for Q1 2016, down 29213.57 percentage points from -25871.43% a year earlier and down 22022.04 percentage points from the prior quarter.
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Analysis
GT Biopharma (GTBP) Return on Sales [ROS] (2009 - 2016) Analysis & Trends
For FY2015, GT Biopharma's Return on Sales [ROS] was -33062.96%, down 29135.09 percentage points from FY2014.
- Return on Sales [ROS] carries a five-year change of -10362.96 percentage points (FY2010 to FY2015).
- Going back by year, Return on Sales [ROS] was -3927.87% in FY2014, -1027.49% in FY2012 (+14080.21 pp) and -15107.69% in FY2011 (+7592.31 pp).
- The Q1 2016 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2012.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2013 (a gain of 102923.50 percentage points), and the weakest in Q2 2012 (a drop of 54900.00 percentage points).
- Business Quant data shows GTBP's Return on Sales [ROS] at -33062.96% (Q4 2015), -21893.33% (Q3 2015) and -7155.00% (Q2 2015) in the three quarters before Q1 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 32.98% |
| 10 | GT Biopharma | 6.65 Mn | -16.58 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | -55,085.00% |
| Dec 31, 2015 | -33,062.96% |
| Sep 30, 2015 | -21,893.33% |
| Jun 30, 2015 | -7,155.00% |
| Mar 31, 2015 | -25,871.43% |
| Sep 30, 2014 | -18,300.00% |
| Jun 30, 2014 | -416.00% |
| Mar 31, 2014 | -1,571.79% |
| Dec 31, 2013 | -676.38% |
| Sep 30, 2013 | -76.50% |
| Jun 30, 2013 | -76.50% |
| 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% |
API Access
GT Biopharma Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GTBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GTBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();