Atossa Therapeutics (ATOS) Cost of Revenue (2011 - 2015)
Atossa Therapeutics' Cost of Revenue came in at -$3.24 million for Q4 2015.
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Analysis
Atossa Therapeutics (ATOS) Cost of Revenue (2011 - 2015) Analysis & Trends
For FY2015, Atossa Therapeutics' Cost of Revenue was $132,411.
- Cost of Revenue carries a four-year compound annual growth rate of 125.0% (FY2011 to FY2015).
- Going back by year, Cost of Revenue was $345,519 in FY2013 (+866.6%), $35,745 in FY2012 (+592.2%) and $5,164 in FY2011.
- The Q4 2015 figure represents the lowest quarterly Cost of Revenue in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.93 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 8.10 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.29 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 2.95 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.79 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.57 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 4.03 Bn |
| 10 | Atossa Therapeutics | 21.38 Mn | -98.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -3.24 Mn |
| Sep 30, 2015 | 313,406.00 |
| Sep 30, 2013 | 25,938.00 |
| Jun 30, 2013 | 222,160.00 |
| Mar 31, 2013 | 66,464.00 |
| Dec 31, 2012 | 5,760.00 |
| Sep 30, 2012 | 9,000.00 |
| Jun 30, 2012 | 17,788.00 |
| Mar 31, 2012 | 3,197.00 |
| Dec 31, 2011 | 5,164.00 |
API Access
Atossa Therapeutics Cost of Revenue 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=cost-of-revenue&ticker=ATOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ATOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();