Non Invasive Monitoring Systems (NIMU) Return on Capital Employed [ROCE] (2009 - 2020)
Non Invasive Monitoring Systems' Return on Capital Employed [ROCE] was -1495.65% in Q2 2020, down 986.74 percentage points from -508.91% a year earlier and down 540.39 percentage points from the prior quarter.
Non Invasive Monitoring Systems (NIMU) Return on Capital Employed [ROCE] (2009 - 2020) Analysis & Trends
From Q4 2013 onward, Non Invasive Monitoring Systems has reported Return on Capital Employed [ROCE] for 6 quarters.
- Per Business Quant data, NIMU's Return on Capital Employed [ROCE] in the three quarters before Q2 2020 was -955.26% (Q1 2020), -222.44% (Q4 2019) and -270.71% (Q3 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.76% |
| 10 | Non Invasive Monitoring Systems | 1.55 Bn | 1.55 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2020 | -1,495.65% |
| Oct 31, 2019 | -955.26% |
| Jul 31, 2019 | -222.44% |
| Apr 30, 2019 | -270.71% |
| Jan 31, 2019 | -508.91% |
| Jul 31, 2013 | -342.08% |
| Apr 30, 2011 | 207,400.00% |
| Jan 31, 2011 | 1,232.98% |
| Oct 31, 2010 | 386.88% |
| Jul 31, 2010 | 204.79% |
| Apr 30, 2010 | -152.17% |
| Jan 31, 2010 | -108.28% |
| Oct 31, 2009 | -86.99% |
| Jul 31, 2009 | -73.19% |
| Apr 30, 2009 | -61.35% |
| Jan 31, 2009 | -84.69% |
Non Invasive Monitoring Systems 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=NIMU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NIMU", "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=NIMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();