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IMAGING DIAGNOSTIC SYSTEMS, INC.: filings

Every IMAGING DIAGNOSTIC SYSTEMS, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 35 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2024-11-14fiscal Q1 202524500001213900-24-098306
10-K2024-09-30fiscal FY 202426490001213900-24-083313
10-Q2024-09-30fiscal Q3 202422720001213900-24-083303
10-Q2024-09-30fiscal Q2 202422680001213900-24-083297
10-Q2024-09-30fiscal Q1 202423490001213900-24-083290
10-K2024-09-30fiscal FY 202329550001213900-24-083280
10-Q2023-05-15fiscal Q3 202325790001213900-23-039823
10-Q2023-02-10fiscal Q2 202325750001213900-23-010032
10-Q2022-11-14fiscal Q1 202326550001213900-22-071807
10-K2022-10-04fiscal FY 202229590001213900-22-061798
10-Q2022-05-20fiscal Q3 202227790001213900-22-028585
10-Q2022-02-15fiscal Q2 202126700001213900-22-007860
10-Q2021-11-09fiscal Q1 202225480001213900-21-057645
10-K2021-10-12fiscal FY 202129530001213900-21-052332
10-Q2021-05-17fiscal Q3 202127750001213900-21-026844
10-Q2021-02-16fiscal Q2 202130760001213900-21-009400
10-Q2020-11-20fiscal Q1 202129560001213900-20-038518
10-K2020-09-28fiscal FY 202033620001213900-20-028669
10-Q2020-05-15fiscal Q3 202031870001213900-20-012538
10-Q2020-02-11fiscal Q2 202031820001213900-20-003280
10-Q2019-11-13fiscal Q1 202029570001213900-19-023203
10-K2019-09-30fiscal FY 201929580001213900-19-019314
10-Q/A2019-09-26fiscal Q3 201928850001213900-19-018988
10-Q/A2019-09-26fiscal Q2 201928790001213900-19-018986
10-Q/A2019-09-26fiscal Q1 201928560001213900-19-018984
10-Q2019-05-15fiscal Q3 201928850001213900-19-008721
10-Q2019-03-05fiscal Q1 201928560001213900-19-003600
10-Q2019-03-05fiscal Q2 201928790001213900-19-003598
10-Q2013-05-15fiscal Q3 201322720000790652-13-000007
10-Q2013-02-19fiscal Q2 201321700000790652-13-000004
10-Q2012-11-19fiscal Q1 201322580000790652-12-000053
10-K/A2012-10-29fiscal FY 2012301260000790652-12-000039
10-Q2012-05-21fiscal Q3 201221700000790652-12-000028
10-Q/A2012-02-21fiscal Q2 201221690000790652-12-000011
10-Q/A2011-12-13fiscal Q1 201221560000790652-11-000054

Inspect the source

Entity
IMAGING DIAGNOSTIC SYSTEMS, INC. / CIK 0000790652
Captured
2026-09-21T17:16:58.404Z
SEC response SHA-256
162e8586bc60f736623638d621f47cee4688f27408299480b3b1b569a1861b55

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

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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/0000790652.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"])))