Atossa Therapeutics (ATOS) Return on Sales [ROS] (2011 - 2016)
Atossa Therapeutics (ATOS) posted Return on Sales [ROS] of -459752.84% for Q3 2016, up 42060.39 percentage points from -501813.23% a year earlier and up 129933.11 percentage points from the prior quarter.
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Analysis
Atossa Therapeutics (ATOS) Return on Sales [ROS] (2011 - 2016) Analysis & Trends
For FY2015, Atossa Therapeutics' Return on Sales [ROS] came in at -725746.19%, down 695423.23 percentage points from FY2014.
- Annual Return on Sales [ROS] has declined for three consecutive years, with a four-year change of -497133.52 percentage points (FY2011 to FY2015).
- In prior years, Atossa Therapeutics' Return on Sales [ROS] was -30322.96% in FY2014 (-28618.03 pp), -1704.93% in FY2013 (-652.91 pp), -1052.01% in FY2012 (+227560.66 pp) and -228612.67% in FY2011.
- Quarterly Return on Sales [ROS] has run from a low of -672061.60% in Q1 2016 to a high of -522.56% in Q2 2012 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in 1 of the last eight quarters, with an average year-over-year change of -214925.70 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2012, with a gain of 78086.81 percentage points; the weakest was Q1 2016, with a drop of 590677.97 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -589685.95% (Q2 2016), -672061.60% (Q1 2016) and -140733.62% (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Atossa Therapeutics | 21.38 Mn | -98.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | -459,752.84% |
| Jun 30, 2016 | -589,685.95% |
| Mar 31, 2016 | -672,061.60% |
| Dec 31, 2015 | -140,733.62% |
| Sep 30, 2015 | -501,813.23% |
| Jun 30, 2015 | -212,034.35% |
| Mar 31, 2015 | -81,383.63% |
| Dec 31, 2014 | -122,680.24% |
| Sep 30, 2014 | -94,724.31% |
| Jun 30, 2014 | -32,268.69% |
| Mar 31, 2014 | -9,993.89% |
| Sep 30, 2013 | -4,571.85% |
| Jun 30, 2013 | -792.25% |
| Mar 31, 2013 | -1,062.81% |
| Dec 31, 2012 | -1,732.12% |
| Sep 30, 2012 | -1,075.69% |
| Jun 30, 2012 | -522.56% |
| Mar 31, 2012 | -1,941.34% |
| Dec 31, 2011 | -79,818.93% |
API Access
Atossa Therapeutics 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=ATOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ATOS", "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=ATOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();