Vericel (VCEL) Acquisitions (2014 - 2019)
Vericel (VCEL) reported Acquisitions of $13.9 million for Q3 2019, down 68.7% from $44.48 million a year earlier and down 36.0% from the prior quarter.
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Analysis
Vericel (VCEL) Acquisitions (2014 - 2019) Analysis & Trends
Over the twelve months ended Sep 30, 2019, Vericel's Acquisitions came in at $90.78 million, up 105.4% year-over-year; for FY2014, it came in at $1.45 million.
- Five-year quarterly Acquisitions spans a low of -$2.33 million in Q4 2015 and a high of $44.48 million in Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | -17.24 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | - |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -23.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | - |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.21 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Vericel | 2.06 Bn | 1.48 Bn | 56.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 13.90 Mn |
| Jun 30, 2019 | 21.72 Mn |
| Mar 31, 2019 | 10.69 Mn |
| Sep 30, 2018 | 44.48 Mn |
| Sep 30, 2017 | -273,000.00 |
| Jun 30, 2017 | 203,000.00 |
| Mar 31, 2017 | 70,000.00 |
| Dec 31, 2016 | -1.31 Mn |
| Sep 30, 2016 | 240,000.00 |
| Jun 30, 2016 | 1.06 Mn |
| Mar 31, 2016 | 13,000.00 |
| Dec 31, 2015 | -2.33 Mn |
| Sep 30, 2015 | 775,000.00 |
| Jun 30, 2015 | 1.20 Mn |
| Mar 31, 2015 | 353,000.00 |
| Sep 30, 2014 | 2.50 Mn |
| Jun 30, 2014 | -1.05 Mn |
API Access
Vericel Acquisitions 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=acquisitions&ticker=VCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "VCEL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=acquisitions&ticker=VCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();