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CRONA CORP.: filings

Every CRONA CORP. annual and quarterly report in the SEC record with the published financial measures it tagged, 36 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-Q2026-03-16fiscal Q3 202535990001477932-26-001337
10-Q/A2025-08-26fiscal Q1 202534720001477932-25-006260
10-Q2025-08-22fiscal Q2 202535990001477932-25-006183
10-Q2025-05-15fiscal Q1 202534720001477932-25-003752
10-K2025-02-27fiscal FY 202436740001477932-25-001313
10-Q2024-11-15fiscal Q3 202432920001477932-24-007285
10-Q2024-10-04fiscal Q2 202433920001477932-24-006213
10-Q2024-07-16fiscal Q1 202432680001477932-24-004235
10-K2024-06-27fiscal FY 202335720001477932-24-003892
10-Q2024-01-16fiscal Q3 202333940001477932-24-000185
10-Q2023-10-05fiscal Q2 202334920001477932-23-007411
10-Q2023-06-02fiscal Q1 202334720001477932-23-004192
10-K2023-04-25fiscal FY 202228580001477932-23-002840
10-Q2022-11-09fiscal Q3 202223620001696411-22-000012
10-Q2022-08-04fiscal Q2 202221520001696411-22-000009
10-Q2022-05-16fiscal Q1 202221400001696411-22-000006
10-K2022-03-31fiscal FY 202120410001696411-22-000004
10-Q2021-11-15fiscal Q3 202219480001696411-21-000018
10-Q2021-08-12fiscal Q2 202118460001696411-21-000016
10-Q2021-05-14fiscal Q1 202120390001696411-21-000011
10-K2021-04-01fiscal FY 202021430001696411-21-000008
10-Q2020-11-23fiscal Q3 202019510001696411-20-000028
10-Q2020-11-20fiscal Q2 202019510001696411-20-000026
10-Q2020-11-20fiscal Q1 202019370001696411-20-000024
10-K2020-11-03fiscal FY 201921400001696411-20-000020
10-Q2020-10-01fiscal Q3 201921590001696411-20-000018
10-Q2020-10-01fiscal Q2 201921590001696411-20-000016
10-Q2020-09-24fiscal Q1 201921410001696411-20-000013
10-K2020-08-11fiscal FY 201824490001696411-20-000011
10-Q2020-07-01fiscal Q3 201825720001696411-20-000008
10-Q2020-07-01fiscal Q2 201826740001696411-20-000006
10-Q2020-07-01fiscal Q1 201822440001696411-20-000004
10-K2018-04-18fiscal FY 201722410001696411-18-000007
10-Q2017-11-14fiscal Q3 201722370001696411-17-000012
10-Q2017-07-28fiscal Q2 201722380001696411-17-000010
10-Q2017-05-03fiscal Q1 201719290001696411-17-000008

Inspect the source

Entity
CRONA CORP. / CIK 0001696411
Captured
2026-09-21T17:23:41.922Z
SEC response SHA-256
d32a4a24866fc5caa9c8240b727d5ae8806325a8ec6f9aa1d3c980c6c5abae4d

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/0001696411.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"])))