NovelStem International (NSTM) Net Margin (2010 - 2013)
NovelStem International's Net Margin came in at 5865.74% for Q3 2021, up 5907.76 percentage points from the prior quarter.
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Analysis
NovelStem International (NSTM) Net Margin (2010 - 2013) Analysis & Trends
Over the trailing twelve months to Sep 30, 2013, NovelStem International reported Net Margin of 3860.19%; for FY2012, it came in at 1688.94%, up 2331.65 percentage points from FY2011.
- Net Margin carries a three-year change of +1813.32 percentage points (FY2009 to FY2012).
- Going back by year, Net Margin was -642.72% in FY2011 (-765.50 pp), 122.79% in FY2010 (+247.17 pp) and -124.39% in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 21.86% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 22.61% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 18.81% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | -1.65% |
| 10 | NovelStem International | 493,324.54 | 346,279.54 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 5,865.74% |
| Jun 30, 2013 | -42.02% |
| Mar 31, 2013 | -356.14% |
| Dec 31, 2012 | 6,320.05% |
| Sep 30, 2012 | -496.02% |
| Jun 30, 2012 | -343.25% |
| Mar 31, 2012 | -233.29% |
| Dec 31, 2011 | 17.16% |
| Sep 30, 2011 | -3,555.23% |
| Jun 30, 2011 | 27.93% |
| Mar 31, 2011 | -165.93% |
| Dec 31, 2010 | 563.51% |
| Sep 30, 2010 | -44.12% |
| Jun 30, 2010 | 22.00% |
API Access
NovelStem International Net 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=net-margin&ticker=NSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "NSTM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=NSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();