Cerenome (CNSY) Amortization - Intangibles (2017 - 2019)
Cerenome (CNSY) posted Amortization - Intangibles of $306,000 for Q1 2019, unchanged from $306,000 a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Cerenome (CNSY) Amortization - Intangibles (2017 - 2019) Analysis & Trends
For the trailing twelve months through Mar 31, 2019, Amortization - Intangibles at Cerenome was $1.22 million, unchanged year-over-year; for FY2018, it came in at $1.23 million, unchanged from FY2017.
- In prior years, Cerenome's Amortization - Intangibles was $1.23 million in FY2017 (+109.8%) and $584,000 in FY2016.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $306,000 (Q4 2018), $306,000 (Q3 2018) and $306,000 (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Cerenome | 13.67 Mn | -33.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 306,000.00 |
| Dec 31, 2018 | 306,000.00 |
| Sep 30, 2018 | 306,000.00 |
| Jun 30, 2018 | 306,000.00 |
| Mar 31, 2018 | 306,000.00 |
| Dec 31, 2017 | 306,000.00 |
| Sep 30, 2017 | 306,000.00 |
| Jun 30, 2017 | 306,000.00 |
API Access
Cerenome Amortization - Intangibles 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=amortization-intangibles&ticker=CNSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "CNSY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=CNSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();