NON INVASIVE MONITORING SYSTEMS INC /FL/: cash and cash equivalents

Name: NON INVASIVE MONITORING SYSTEMS INC /FL/: cash and cash equivalents
Creator: NON INVASIVE MONITORING SYSTEMS INC /FL/

Cash and cash equivalents for NON INVASIVE MONITORING SYSTEMS INC /FL/. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All NON INVASIVE MONITORING SYSTEMS INC /FL/ financial histories

What this measure means

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-07-31 to 2023-07-31. The SEC response was captured on 2026-09-19.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Cash and cash equivalents in original reported units, latest-filed observation per period
Period start	Period end	Value	Unit	Filed	Source filing
At date	2023-07-31	7,000	USD	2023-10-30	10-K · 0001493152-23-038672
At date	2022-07-31	15,000	USD	2022-10-28	10-K · 0001493152-22-029873
At date	2021-07-31	55,000	USD	2021-10-29	10-K · 0001493152-21-026767
At date	2020-07-31	203,000	USD	2021-10-29	10-K · 0001493152-21-026767
At date	2019-07-31	353,000	USD	2020-10-29	10-K · 0001493152-20-020128
At date	2018-07-31	90,000	USD	2019-11-13	10-K · 0001493152-19-017042
At date	2017-07-31	11,000	USD	2018-11-13	10-K · 0001493152-18-015658
At date	2016-07-31	87,000	USD	2018-11-13	10-K · 0001493152-18-015658
At date	2015-07-31	40,000	USD	2017-10-30	10-K · 0001493152-17-012147
At date	2014-07-31	21,000	USD	2016-10-25	10-K · 0001493152-16-014232
At date	2013-07-31	296,000	USD	2015-10-23	10-K · 0001144204-15-060632
At date	2012-07-31	56,000	USD	2014-10-27	10-K · 0001144204-14-063035
At date	2011-07-31	64,000	USD	2013-10-29	10-K · 0001144204-13-057394
At date	2010-07-31	165,000	USD	2012-10-29	10-K · 0001144204-12-058243

Related financial histories

Inspect the source

Entity: NON INVASIVE MONITORING SYSTEMS INC /FL/ / CIK 0000720762
Captured: 2026-09-19T14:59:46.562Z
SEC response SHA-256: f5b4fdbd2569b512b0b3a37dc1da86898be15ffdbda9bc884d26b37d1c1be6c8

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000720762.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))