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GMS INC.: filings

Every GMS INC. 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-Q2025-08-28fiscal Q1 2026521070001628280-25-041282
10-K2025-06-18fiscal FY 2025521920001628280-25-032103
10-Q2025-03-06fiscal Q3 2025521530001628280-25-010920
10-Q2024-12-05fiscal Q2 2025521490001628280-24-050077
10-Q2024-08-29fiscal Q1 2025521070001628280-24-038803
10-K2024-06-20fiscal FY 2024531960001628280-24-029139
10-Q2024-02-29fiscal Q3 2024521530001628280-24-008038
10-Q2023-12-07fiscal Q2 2024521490001628280-23-041080
10-Q2023-08-31fiscal Q1 2024521070001628280-23-031117
10-K2023-06-22fiscal FY 2023531960001628280-23-023126
10-Q2023-03-02fiscal Q3 2023521530001628280-23-006063
10-Q2022-12-08fiscal Q2 2023521490001628280-22-031588
10-Q2022-09-01fiscal Q1 2023521070001628280-22-024158
10-K2022-06-23fiscal FY 2022541990001628280-22-017915
10-Q2022-03-03fiscal Q3 2022521530001628280-22-004941
10-Q2021-12-02fiscal Q2 2022521490001628280-21-024438
10-Q2021-09-02fiscal Q1 2022521070001628280-21-018028
10-K2021-06-24fiscal FY 2021541980001628280-21-012863
10-Q2021-03-04fiscal Q3 2021571640001558370-21-002372
10-Q2020-12-03fiscal Q2 2021571600001558370-20-014171
10-Q2020-09-03fiscal Q1 2021561150001558370-20-010991
10-K2020-06-25fiscal FY 2020592060001558370-20-007783
10-Q2020-03-05fiscal Q3 2020571620001558370-20-002073
10-Q2019-12-05fiscal Q2 2020551490001558370-19-011355
10-Q2019-08-29fiscal Q1 2020551110001558370-19-008400
10-K2019-06-27fiscal FY 2019552000001558370-19-005943
10-Q2019-03-05fiscal Q3 2019511430001558370-19-001510
10-Q2018-12-04fiscal Q2 2019501400001558370-18-009571
10-Q2018-08-30fiscal Q1 2019501020001558370-18-007317
10-K2018-06-28fiscal FY 2018501730001558370-18-005484
10-Q2018-03-06fiscal Q3 2018471320001558370-18-001566
10-Q2017-12-07fiscal Q2 2018461300001558370-17-009230
10-Q2017-09-06fiscal Q1 201846940001558370-17-006940
10-K2017-06-30fiscal FY 2017441620001047469-17-004356
10-Q2017-03-09fiscal Q3 2017431260001558370-17-001533
10-Q2016-12-13fiscal Q2 2017431260001558370-16-010532
10-Q2016-09-13fiscal Q1 201743900001558370-16-008319

Inspect the source

Entity
GMS INC. / CIK 0001600438
Captured
2026-09-21T17:21:09.927Z
SEC response SHA-256
408b864827b2614934fad9e46fc8d5712a7fa5cefcbc7d82d442c1fb2323fded

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/0001600438.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"])))