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NEWMARK GROUP, INC.: filings

Every NEWMARK GROUP, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 34 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-Q2026-08-07fiscal Q2 2026461330001628280-26-054877
10-Q2026-05-08fiscal Q1 202645950001628280-26-032821
10-K2026-03-02fiscal FY 2025491280001628280-26-013160
10-Q2025-11-10fiscal Q3 2025461340001628280-25-051073
10-Q2025-08-08fiscal Q2 2025461330001628280-25-039056
10-Q2025-05-09fiscal Q1 202546960001628280-25-024261
10-K2025-03-03fiscal FY 2024481270001628280-25-009332
10-Q2024-11-08fiscal Q3 2024461330001690680-24-000031
10-Q2024-08-08fiscal Q2 2024461330001690680-24-000025
10-Q2024-05-10fiscal Q1 202446970001690680-24-000015
10-K2024-02-29fiscal FY 2023481280001690680-24-000006
10-Q2023-11-09fiscal Q3 2023461330001690680-23-000039
10-Q2023-08-09fiscal Q2 2023461330001690680-23-000033
10-Q2023-05-09fiscal Q1 202346970001690680-23-000024
10-K2023-03-16fiscal FY 2022481280001690680-23-000018
10-Q2022-11-07fiscal Q3 2022451310001690680-22-000045
10-Q2022-08-08fiscal Q2 2022451310001690680-22-000035
10-Q2022-05-09fiscal Q1 202245950001690680-22-000018
10-K2022-03-01fiscal FY 2021471260001690680-22-000011
10-Q2021-11-09fiscal Q3 2021451310001690680-21-000048
10-Q2021-08-09fiscal Q2 2021451310001690680-21-000038
10-Q2021-05-07fiscal Q1 202144930001690680-21-000024
10-K2021-03-01fiscal FY 2020481310001690680-21-000013
10-Q2020-11-06fiscal Q3 2020451310001690680-20-000038
10-Q2020-08-07fiscal Q2 2020451310001690680-20-000030
10-Q2020-05-11fiscal Q1 202042890001690680-20-000019
10-K2020-02-28fiscal FY 2019461190001690680-20-000012
10-Q2019-11-08fiscal Q3 2019421170001564590-19-042001
10-Q2019-08-09fiscal Q2 2019421170001564590-19-030941
10-Q2019-05-10fiscal Q1 201939790001564590-19-018154
10-K2019-03-15fiscal FY 2018421020001564590-19-008054
10-Q2018-11-14fiscal Q3 2018391040001564590-18-029398
10-Q2018-08-14fiscal Q2 2018391040001564590-18-021725
10-Q2018-05-15fiscal Q1 201834690001564590-18-013621

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

Inspect the source

Entity
NEWMARK GROUP, INC. / CIK 0001690680
Captured
2026-09-21T17:24:08.164Z
SEC response SHA-256
762c1318ef4a5e176a5524779edb825a5dfd8a08b9f383215aebdeb1671470bb

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/0001690680.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"])))