Non Invasive Monitoring Systems (NIMU) Return on Sales [ROS] (2010 - 2017)
Non Invasive Monitoring Systems (NIMU) recorded Return on Sales [ROS] of -5900.00% in fiscal Q4 2017 (quarter ended Jul 31, 2017), down 3417.39 percentage points from -2482.61% a year earlier and down 483.33 percentage points from the prior quarter.
Non Invasive Monitoring Systems (NIMU) Return on Sales [ROS] (2010 - 2017) Analysis & Trends
For FY2017 (ended Jul 31, 2017), Non Invasive Monitoring Systems reported Return on Sales [ROS] of -4916.67%, down 2429.71 percentage points from FY2016.
- Annual Return on Sales [ROS] has a five-year change of -4751.87 percentage points (FY2012 to FY2017).
- Across earlier fiscal years, Return on Sales [ROS] came in at -2486.96% in FY2016, -2407.69% in FY2014 (-2059.99 pp) and -347.71% in FY2013 (-182.91 pp).
- The fiscal Q4 2017 figure is the lowest quarterly Return on Sales [ROS] since fiscal Q1 2014.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -795.95 percentage points over the last six quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 6008.33 percentage points in fiscal Q1 2015, against a drop of 8326.53 percentage points in fiscal Q1 2014 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Non Invasive Monitoring Systems | 1.78 Mn | 1.73 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2017 | -5,900.00% |
| Apr 30, 2017 | -5,416.67% |
| Jan 31, 2017 | -2,700.00% |
| Jul 31, 2016 | -2,482.61% |
| Apr 30, 2016 | -957.14% |
| Jan 31, 2016 | -862.50% |
| Oct 31, 2015 | -675.00% |
| Apr 30, 2015 | -2,375.00% |
| Jan 31, 2015 | -2,566.67% |
| Oct 31, 2014 | -2,491.67% |
| Jul 31, 2014 | -683.33% |
| Apr 30, 2014 | -636.00% |
| Jan 31, 2014 | -560.00% |
| Oct 31, 2013 | -8,500.00% |
| Jul 31, 2013 | -177.55% |
| Apr 30, 2013 | -910.00% |
| Jan 31, 2013 | -5,750.00% |
| Oct 31, 2012 | -173.47% |
| Jul 31, 2012 | -203.85% |
| Apr 30, 2012 | -239.13% |
Non Invasive Monitoring Systems Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=NIMU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=NIMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();