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Warrior Met Coal, Inc.: filings

Every Warrior Met Coal, 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-Q2026-08-05fiscal Q2 2026371010001193125-26-335324
10-Q2026-04-30fiscal Q1 202637790001193125-26-197606
10-K2026-02-12fiscal FY 2025431160001193125-26-048914
10-Q2025-11-05fiscal Q3 2025371010001193125-25-267117
10-Q2025-08-06fiscal Q2 2025371020001691303-25-000035
10-Q2025-04-30fiscal Q1 202538820001691303-25-000022
10-K2025-02-13fiscal FY 2024431170001691303-25-000010
10-Q2024-10-30fiscal Q3 2024381050001691303-24-000037
10-Q2024-08-01fiscal Q2 2024381030001691303-24-000022
10-Q2024-05-01fiscal Q1 202439810001691303-24-000015
10-K2024-02-14fiscal FY 2023421100001691303-24-000008
10-Q2023-11-01fiscal Q3 2023391050001691303-23-000039
10-Q2023-08-02fiscal Q2 2023391050001691303-23-000026
10-Q2023-05-03fiscal Q1 202339810001691303-23-000019
10-K2023-02-15fiscal FY 2022431130001691303-23-000010
10-Q2022-11-02fiscal Q3 2022371010001691303-22-000037
10-Q2022-08-03fiscal Q2 2022371020001691303-22-000027
10-Q2022-05-05fiscal Q1 202237770001691303-22-000016
10-K2022-02-22fiscal FY 2021431140001691303-22-000006
10-Q2021-11-02fiscal Q3 2021371010001691303-21-000038
10-Q2021-08-04fiscal Q2 2021371010001691303-21-000026
10-Q2021-05-05fiscal Q1 202137770001691303-21-000017
10-K2021-02-24fiscal FY 2020421490001691303-21-000010
10-Q2020-10-28fiscal Q3 202037990001691303-20-000040
10-Q2020-08-05fiscal Q2 202037990001691303-20-000031
10-Q2020-04-29fiscal Q1 202037770001691303-20-000020
10-K2020-02-19fiscal FY 2019451520001691303-20-000014
10-Q2019-10-30fiscal Q3 2019381010001691303-19-000043
10-Q2019-07-31fiscal Q2 2019381010001691303-19-000036
10-Q2019-05-01fiscal Q1 201936760001691303-19-000015
10-K2019-02-21fiscal FY 2018471470001691303-19-000007
10-Q2018-10-31fiscal Q3 201838990001691303-18-000039
10-Q2018-08-01fiscal Q2 201835900001691303-18-000027
10-Q2018-05-02fiscal Q1 201834700001691303-18-000018
10-K2018-02-14fiscal FY 2017431030001691303-18-000010

3 further filings tag fewer than eight published concepts and have no page.

Inspect the source

Entity
Warrior Met Coal, Inc. / CIK 0001691303
Captured
2026-09-21T17:23:31.505Z
SEC response SHA-256
95c730cd94a13ec76d9e2668dae98c12f3cf30300aeedd1e0c3aaccd32fa3a33

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/0001691303.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"])))