Skip to content

Core Natural Resources, Inc.: filings

Every Core Natural Resources, Inc. 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-Q2026-08-06fiscal Q2 2026421260001710366-26-000054
10-Q2026-05-07fiscal Q1 202642900001710366-26-000041
10-K2026-02-17fiscal FY 2025501330001710366-26-000007
10-Q2025-11-06fiscal Q3 2025441340001710366-25-000030
10-Q2025-08-05fiscal Q2 2025461360001710366-25-000017
10-Q2025-05-08fiscal Q1 202546980001710366-25-000014
10-K2025-02-20fiscal FY 2024491320001710366-25-000010
10-Q2024-11-05fiscal Q3 2024481460001710366-24-000031
10-Q2024-08-08fiscal Q2 2024481400001710366-24-000018
10-Q2024-05-07fiscal Q1 2024471000001710366-24-000012
10-K2024-02-09fiscal FY 2023501340001710366-24-000006
10-Q2023-10-31fiscal Q3 2023481480001710366-23-000022
10-Q2023-08-08fiscal Q2 2023481420001710366-23-000017
10-Q2023-05-02fiscal Q1 2023481020001710366-23-000012
10-K2023-02-10fiscal FY 2022491320001710366-23-000005
10-Q2022-11-01fiscal Q3 2022471460001437749-22-025268
10-Q2022-08-04fiscal Q2 2022471400001437749-22-018728
10-Q2022-05-03fiscal Q1 202246980001437749-22-010570
10-K2022-02-11fiscal FY 2021531400001437749-22-003140
10-Q2021-11-02fiscal Q3 2021461390001437749-21-024810
10-Q2021-08-03fiscal Q2 2021461350001437749-21-018214
10-Q2021-05-04fiscal Q1 202145950001437749-21-010683
10-K2021-02-12fiscal FY 2020521360001437749-21-002802
10-Q2020-11-05fiscal Q3 2020471370001437749-20-022619
10-Q2020-08-10fiscal Q2 2020471330001437749-20-017174
10-Q2020-05-11fiscal Q1 202043910001710366-20-000011
10-K2020-02-14fiscal FY 2019522050001710366-20-000006
10-Q2019-11-05fiscal Q3 2019461240001710366-19-000022
10-Q2019-08-06fiscal Q2 2019461200001710366-19-000015
10-Q2019-05-08fiscal Q1 201946940001710366-19-000010
10-K2019-02-08fiscal FY 2018481990001710366-19-000005
10-Q2018-11-01fiscal Q3 2018441120001710366-18-000024
10-Q2018-08-02fiscal Q2 2018431100001710366-18-000018
10-Q2018-05-03fiscal Q1 201841830001710366-18-000012
10-K2018-02-16fiscal FY 2017431930001710366-18-000006
10-Q2017-12-13fiscal Q3 201733850001710366-17-000007

Inspect the source

Entity
Core Natural Resources, Inc. / CIK 0001710366
Captured
2026-09-21T17:26:42.037Z
SEC response SHA-256
fef21b2bc92c7db27c9023c71a1f9fd2b2ec6d85ac55b0a4f64277d146083dde

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/0001710366.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"])))