NovelStem International (NSTM) EBITDA (2010 - 2013)
NovelStem International (NSTM) reported EBITDA of -$404,434 for FY2022, compared with -$483,535 in FY2021.
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Analysis
NovelStem International (NSTM) EBITDA (2010 - 2013) Analysis & Trends
Dating back to FY2009, NovelStem International's EBITDA record includes 6 years.
- The FY2022 figure ranks as the highest annual EBITDA in data going back to FY2009.
- According to Business Quant data, EBITDA came in at -$483,535 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 5.89 Bn |
| 10 | NovelStem International | 493,324.54 | 346,279.54 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | -1.14 Mn |
| Jun 30, 2013 | -1.07 Mn |
| Mar 31, 2013 | -1.24 Mn |
| Dec 31, 2012 | -2.04 Mn |
| Sep 30, 2012 | -913,108.00 |
| Jun 30, 2012 | -1.44 Mn |
| Mar 31, 2012 | -744,337.00 |
| Dec 31, 2011 | -665,785.00 |
| Sep 30, 2011 | -1.62 Mn |
| Jun 30, 2011 | -999,173.00 |
| Mar 31, 2011 | -1.95 Mn |
| Dec 31, 2010 | -1.25 Mn |
| Sep 30, 2010 | -2.13 Mn |
| Jun 30, 2010 | -1.93 Mn |
API Access
NovelStem International EBITDA 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=ebitda&ticker=NSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();