NovelStem International (NSTM) FCF Margin (2010 - 2013)
NovelStem International (NSTM) reported FCF Margin of -63.34% for Q3 2021, up 842.21 percentage points from the prior quarter.
NovelStem International (NSTM) FCF Margin (2010 - 2013) Analysis & Trends
Over the twelve months ended Sep 30, 2013, NovelStem International's FCF Margin came in at -843.64%; for FY2012, it came in at -648.97%, down 396.53 percentage points from FY2011.
- FCF Margin has declined for three consecutive years, with a three-year change of -514.32 percentage points (FY2009 to FY2012).
- By year, FCF Margin came in at -252.44% in FY2011 (-86.50 pp), -165.94% in FY2010 (-31.29 pp) and -134.65% in FY2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 33.76% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.82% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 18.33% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 26.96% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 43.05% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 34.72% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.70% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 44.00% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 2.01% |
| 10 | NovelStem International | 493,324.54 | 346,279.54 | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | -63.34% |
| Jun 30, 2013 | -905.56% |
| Mar 31, 2013 | -1,647.05% |
| Dec 31, 2012 | -1,045.31% |
| Sep 30, 2012 | -649.82% |
| Jun 30, 2012 | -591.17% |
| Mar 31, 2012 | -279.86% |
| Dec 31, 2011 | -276.91% |
| Sep 30, 2011 | 554.10% |
| Jun 30, 2011 | -217.05% |
| Mar 31, 2011 | -197.15% |
| Dec 31, 2010 | -10.10% |
| Sep 30, 2010 | -206.52% |
NovelStem International FCF 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=fcf-margin&ticker=NSTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=NSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();