Mosaic ImmunoEngineering (CPMV) Capital Expenditures (2011 - 2018)
Mosaic ImmunoEngineering (CPMV) posted Capital Expenditures of $1,465 for FY2018, down 45.8% from $2,703 in FY2017.
Analysis
Mosaic ImmunoEngineering (CPMV) Capital Expenditures (2011 - 2018) Analysis & Trends
Since FY2011, Mosaic ImmunoEngineering has reported Capital Expenditures for 6 years.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -7.5% (FY2013 to FY2018).
- The FY2018 figure stands as the lowest annual Capital Expenditures in data going back to FY2011.
- Business Quant data shows CPMV's Capital Expenditures at $2,703 in FY2017 and $1,719 in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Mosaic ImmunoEngineering | 434,528.21 | 434,528.21 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2018 | 1,465.00 |
| Aug 31, 2016 | 2,703.00 |
| May 31, 2015 | 477.00 |
| Nov 30, 2014 | 540.00 |
| Aug 31, 2014 | 702.00 |
| Feb 28, 2013 | 928.00 |
| Nov 30, 2012 | 701.00 |
| Aug 31, 2012 | 539.00 |
| Feb 29, 2012 | -2.55 Mn |
| Nov 30, 2011 | 2.55 Mn |
| May 31, 2011 | 2,909.00 |
API Access
Mosaic ImmunoEngineering Capital Expenditures 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=capital-expenditures&ticker=CPMV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "CPMV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=CPMV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();