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Magnolia Oil & Gas Corp: filings

Every Magnolia Oil & Gas Corp annual and quarterly report in the SEC record with the published financial measures it tagged, 37 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 2026391160001698990-26-000019
10-Q2026-05-07fiscal Q1 202639820001698990-26-000010
10-K2026-02-12fiscal FY 2025431140001698990-26-000005
10-Q2025-10-30fiscal Q3 2025361080001698990-25-000030
10-Q2025-07-31fiscal Q2 2025361080001698990-25-000021
10-Q2025-05-01fiscal Q1 202537780001698990-25-000013
10-K2025-02-19fiscal FY 2024391050001698990-25-000006
10-Q2024-10-31fiscal Q3 2024361080001698990-24-000041
10-Q2024-08-01fiscal Q2 2024361080001698990-24-000031
10-Q2024-05-08fiscal Q1 202437780001698990-24-000024
10-K2024-02-15fiscal FY 2023401080001698990-24-000011
10-Q2023-11-02fiscal Q3 2023361080001698990-23-000031
10-Q2023-08-02fiscal Q2 2023361080001698990-23-000024
10-Q2023-05-04fiscal Q1 202336760001698990-23-000016
10-K2023-02-16fiscal FY 2022401080001698990-23-000010
10-Q2022-11-02fiscal Q3 2022371120001698990-22-000050
10-Q2022-08-03fiscal Q2 2022371120001698990-22-000035
10-Q2022-05-10fiscal Q1 202237780001698990-22-000024
10-K2022-02-17fiscal FY 2021411100001698990-22-000007
10-Q2021-11-02fiscal Q3 2021381200001698990-21-000049
10-Q2021-08-03fiscal Q2 2021381160001698990-21-000037
10-Q2021-05-05fiscal Q1 202138800001698990-21-000027
10-K2021-02-23fiscal FY 2020431430001698990-21-000003
10-Q2020-11-06fiscal Q3 2020401240001698990-20-000037
10-Q2020-08-06fiscal Q2 2020381140001698990-20-000025
10-Q2020-05-11fiscal Q1 202038800001698990-20-000020
10-K2020-02-26fiscal FY 2019421300001698990-20-000004
10-Q2019-11-05fiscal Q3 2019431530001698990-19-000022
10-Q2019-08-07fiscal Q2 2019401080001698990-19-000019
10-Q2019-05-07fiscal Q1 201940740001698990-19-000009
10-K2019-02-27fiscal FY 201838420001698990-19-000006
10-Q2018-11-13fiscal Q3 201836400001628280-18-014300
10-Q2018-08-14fiscal Q2 201816470001564590-18-021727
10-Q2018-05-14fiscal Q1 201813310001564590-18-013420
10-K2018-02-14fiscal FY 201713240001564590-18-002110
10-Q2017-11-08fiscal Q3 201714200001564590-17-022750
10-Q2017-08-10fiscal Q2 201714200001564590-17-017249

Inspect the source

Entity
Magnolia Oil & Gas Corp / CIK 0001698990
Captured
2026-09-21T17:24:32.321Z
SEC response SHA-256
a664b2ff66ee9be9e68c657977e4773bb5afccd036597da2766e62206f2941c6

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/0001698990.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"])))