Mosaic ImmunoEngineering (CPMV) Return on Capital Employed [ROCE] (2011 - 2020)
Mosaic ImmunoEngineering (CPMV) reported Return on Capital Employed [ROCE] of -183.40% for Q4 2020, down 139.72 percentage points from -43.68% a year earlier and down 42.83 percentage points from the prior quarter.
Mosaic ImmunoEngineering (CPMV) Return on Capital Employed [ROCE] (2011 - 2020) Analysis & Trends
For FY2019, Mosaic ImmunoEngineering posted Return on Capital Employed [ROCE] of -39.37%, up 1.44 percentage points from FY2018.
- Return on Capital Employed [ROCE] has a five-year change of -18.19 percentage points (FY2014 to FY2019).
- By year, Return on Capital Employed [ROCE] came in at -40.81% in FY2018 (-39.66 pp), -1.15% in FY2017 (+27.39 pp), -28.54% in FY2016 (-2.52 pp) and -26.03% in FY2015 (-4.85 pp).
- The Q4 2020 figure ranks as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2012.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last four quarters, with an average year-over-year change of -47.98 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q1 2018 (a gain of 45.12 percentage points); the low point was Q4 2020 (a drop of 139.72 percentage points).
- Per Business Quant data, the three quarters before Q4 2020 came in at -140.57% (Q3 2020), -127.74% (Q2 2020) and -61.54% (Q1 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Mosaic ImmunoEngineering | 796,635.07 | 796,635.07 | - | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2020 | -183.40% |
| Feb 29, 2020 | -140.57% |
| Nov 30, 2019 | -127.74% |
| Aug 31, 2019 | -61.54% |
| May 31, 2019 | -43.68% |
| Feb 28, 2019 | -44.13% |
| Nov 30, 2018 | -44.12% |
| Aug 31, 2018 | -49.35% |
| May 31, 2018 | -47.38% |
| Feb 28, 2018 | -43.93% |
| Nov 30, 2017 | -39.27% |
| Aug 31, 2017 | 1.13% |
| May 31, 2017 | -1.11% |
| Feb 28, 2017 | -6.90% |
| Nov 30, 2016 | -13.20% |
| Aug 31, 2016 | -43.99% |
| May 31, 2016 | -31.34% |
| Feb 29, 2016 | -26.61% |
| Nov 30, 2015 | -13.55% |
| Aug 31, 2015 | -20.20% |
Mosaic ImmunoEngineering Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=CPMV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=CPMV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();