Non Invasive Monitoring Systems (NIMU) Accumulated Expenses (2019 - 2020)
Non Invasive Monitoring Systems (NIMU) posted Accumulated Expenses of $31,000 for fiscal Q3 2020 (quarter ended Apr 30, 2020), down 3.1% from the prior quarter.
Non Invasive Monitoring Systems (NIMU) Accumulated Expenses (2019 - 2020) Analysis & Trends
At the end of FY2019 (ended Jul 31, 2019), Non Invasive Monitoring Systems' Accumulated Expenses came in at $27,000.
- Quarterly Accumulated Expenses has run from a low of $10,000 in fiscal Q1 2020 to a high of $32,000 in fiscal Q2 2020 over five years.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $32,000 (Q2 2020), $10,000 (Q1 2020) and $27,000 (Q4 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Non Invasive Monitoring Systems | 1.78 Mn | 1.73 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2020 | 31,000.00 |
| Jan 31, 2020 | 32,000.00 |
| Oct 31, 2019 | 10,000.00 |
| Jul 31, 2019 | 27,000.00 |
Non Invasive Monitoring Systems Accumulated 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=accumulated-expenses&ticker=NIMU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NIMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();