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Co-Diagnostics, Inc.: filings

Every Co-Diagnostics, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 38 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-Q2026-08-13fiscal Q2 2026441240001493152-26-037762
10-Q2026-05-14fiscal Q1 202644880001493152-26-023085
10-K2026-03-31fiscal FY 202547940001493152-26-014158
10-Q2025-11-13fiscal Q3 2025461320001493152-25-022300
10-Q2025-08-14fiscal Q2 2025451260001641172-25-024029
10-Q2025-05-08fiscal Q1 202545900001641172-25-009257
10-K2025-03-27fiscal FY 202450970001641172-25-000932
10-Q2024-11-07fiscal Q3 2024481330001493152-24-044008
10-Q2024-08-08fiscal Q2 2024481290001493152-24-030758
10-Q2024-05-09fiscal Q1 202448920001493152-24-018424
10-K2024-03-14fiscal FY 2023541020001493152-24-009955
10-Q2023-11-09fiscal Q3 2023511380001493152-23-040050
10-Q2023-08-10fiscal Q2 2023511340001493152-23-027538
10-Q2023-05-11fiscal Q1 202351970001493152-23-016425
10-K2023-03-16fiscal FY 202253990001493152-23-007925
10-Q2022-11-10fiscal Q3 2022481320001493152-22-031350
10-Q2022-08-11fiscal Q2 2022481280001493152-22-022072
10-Q2022-05-12fiscal Q1 202246900001493152-22-013020
10-K2022-03-24fiscal FY 202147890001493152-22-007662
10-Q2021-11-12fiscal Q3 2021411220001493152-21-027937
10-Q2021-08-12fiscal Q2 2021401130001493152-21-019503
10-Q2021-05-13fiscal Q1 202139770001493152-21-011279
10-K2021-03-25fiscal FY 202042860001493152-21-006810
10-Q2020-11-16fiscal Q3 2020391200001493152-20-021670
10-Q/A2020-11-03fiscal Q2 2020381150001493152-20-020357
10-Q2020-08-13fiscal Q2 2020381150001493152-20-015523
10-Q2020-05-14fiscal Q1 202034710001493152-20-008745
10-K2020-03-30fiscal FY 201934710001493152-20-005305
10-Q2019-11-12fiscal Q3 201933980001493152-19-016885
10-Q2019-08-14fiscal Q2 201933900001493152-19-012480
10-Q2019-05-14fiscal Q1 201933650001493152-19-007113
10-K2019-04-01fiscal FY 201834670001493152-19-004300
10-Q2018-11-14fiscal Q3 201830800001493152-18-015919
10-Q2018-08-10fiscal Q2 201831800001493152-18-011357
10-Q2018-05-14fiscal Q1 201829540001493152-18-006835
10-K2018-03-28fiscal FY 201730570001477932-18-001468
10-Q2017-11-14fiscal Q3 201732830001477932-17-005611
10-Q2017-08-25fiscal Q2 201730800001477932-17-004217

Inspect the source

Entity
Co-Diagnostics, Inc. / CIK 0001692415
Captured
2026-09-21T17:25:24.267Z
SEC response SHA-256
0d45d960bb3fa5de76e632ce55df49625cdea1eb0d33ba7dcda1318f7d31930a

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/0001692415.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"])))