Non Invasive Monitoring Systems (NIMU) Return on Capital Employed [ROCE] (2013 - 2020)
Non Invasive Monitoring Systems' Return on Capital Employed [ROCE] was -1495.65% in fiscal Q2 2020 (quarter ended Jan 31, 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] (2013 - 2020) Analysis & Trends
From fiscal 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 fiscal 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 | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Non Invasive Monitoring Systems | 1.78 Mn | 1.73 Mn | - | - |
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% |
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();