Non Invasive Monitoring Systems (NIMU) Other Operating Expenses (2009 - 2024)
Non Invasive Monitoring Systems' Other Operating Expenses was -$118,000 in Q4 2024.
Analysis
Non Invasive Monitoring Systems (NIMU) Other Operating Expenses (2009 - 2024) Analysis & Trends
From Q1 2011 onward, Non Invasive Monitoring Systems has reported Other Operating Expenses for 14 quarters.
- The Q4 2024 figure marks the highest quarterly Other Operating Expenses in data going back to Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Non Invasive Monitoring Systems | 1.55 Bn | 1.55 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2024 | -118,000.00 |
| Oct 31, 2018 | 2.13 Mn |
| Oct 31, 2017 | -11.10 Mn |
| Jul 31, 2017 | 1,000.00 |
| Jan 31, 2017 | 99,000.00 |
| Oct 31, 2016 | -11.00 Mn |
| Jul 31, 2016 | 327,000.00 |
| Apr 30, 2016 | 3,000.00 |
| Jan 31, 2016 | 3,000.00 |
| Oct 31, 2015 | 3,000.00 |
| Jul 31, 2015 | 20,000.00 |
| Jul 31, 2014 | 6,000.00 |
| Jul 31, 2013 | 27,000.00 |
| Apr 30, 2013 | 3,000.00 |
| Oct 31, 2012 | 11,000.00 |
| Jan 31, 2012 | 14,000.00 |
| Oct 31, 2011 | 9,000.00 |
| Jul 31, 2011 | 446,000.00 |
| Apr 30, 2011 | 62,000.00 |
| Jan 31, 2011 | 49,000.00 |
API Access
Non Invasive Monitoring Systems Other Operating Expenses 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=other-operating-expenses&ticker=NIMU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=NIMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();