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Baker Hughes Company: filings

Every Baker Hughes Company 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-Q2026-07-27fiscal Q2 2026401090001701605-26-000023
10-Q2026-04-24fiscal Q1 202640850001701605-26-000014
10-K2026-02-05fiscal FY 2025461200001701605-26-000007
10-Q2025-10-24fiscal Q3 2025401090001701605-25-000117
10-Q2025-07-23fiscal Q2 2025401080001701605-25-000107
10-Q2025-04-23fiscal Q1 202540840001701605-25-000075
10-K2025-02-04fiscal FY 2024491290001701605-25-000035
10-Q2024-10-23fiscal Q3 2024401080001701605-24-000131
10-Q2024-07-26fiscal Q2 2024401080001701605-24-000111
10-Q2024-04-24fiscal Q1 202440840001701605-24-000067
10-K2024-02-05fiscal FY 2023491290001701605-24-000033
10-Q2023-10-26fiscal Q3 2023401080001701605-23-000078
10-Q2023-07-19fiscal Q2 2023401080001701605-23-000063
10-Q2023-04-19fiscal Q1 202340850001701605-23-000049
10-K2023-02-14fiscal FY 2022481260001701605-23-000044
10-Q2022-10-20fiscal Q3 2022391090001701605-22-000151
10-Q2022-07-21fiscal Q2 2022391090001701605-22-000113
10-Q2022-04-20fiscal Q1 202239830001701605-22-000079
10-K2022-02-11fiscal FY 2021471240001701605-22-000050
10-Q2021-10-22fiscal Q3 2021391090001701605-21-000113
10-Q2021-07-23fiscal Q2 2021381070001701605-21-000087
10-Q2021-04-23fiscal Q1 202136770001701605-21-000048
10-K2021-02-25fiscal FY 2020481270001701605-21-000026
10-Q2020-10-23fiscal Q3 202036970001701605-20-000086
10-Q2020-07-24fiscal Q2 202036970001701605-20-000068
10-Q2020-04-24fiscal Q1 202036770001701605-20-000039
10-K2020-02-13fiscal FY 2019481680001701605-20-000019
10-Q2019-10-30fiscal Q3 2019381010001701605-19-000089
10-Q2019-08-01fiscal Q2 2019381010001701605-19-000058
10-Q2019-04-30fiscal Q1 201938800001701605-19-000038
10-K2019-02-19fiscal FY 2018471620001701605-19-000021
10-Q2018-10-30fiscal Q3 2018371040001701605-18-000103
10-Q2018-07-30fiscal Q2 201836940001701605-18-000082
10-Q2018-04-27fiscal Q1 201837770001701605-18-000052
10-K2018-02-23fiscal FY 2017431330001701605-18-000029
10-Q2017-10-31fiscal Q3 201736980001701605-17-000100
10-Q2017-07-28fiscal Q2 201714250001701605-17-000066

Inspect the source

Entity
Baker Hughes Company / CIK 0001701605
Captured
2026-09-21T17:24:02.474Z
SEC response SHA-256
987c100407bbbfa22e4a753baf8a903b0e4820079a6502acd13b3aab48a36fd3

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/0001701605.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"])))