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National Vision Holdings, Inc.: filings

Every National Vision Holdings, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 36 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-Q2026-08-13fiscal Q2 2026481290001628280-26-056493
10-Q2026-05-14fiscal Q1 2026481010001628280-26-034824
10-K2026-03-04fiscal FY 2025511320001628280-26-014379
10-Q2025-11-06fiscal Q3 2025471310001628280-25-049891
10-Q2025-08-07fiscal Q2 2025471270001710155-25-000047
10-Q2025-05-08fiscal Q1 202547990001710155-25-000022
10-K2025-02-26fiscal FY 2024511880001710155-25-000011
10-Q2024-11-06fiscal Q3 2024481330001710155-24-000060
10-Q2024-08-07fiscal Q2 2024491310001710155-24-000052
10-Q2024-05-08fiscal Q1 2024491030001710155-24-000028
10-K2024-02-27fiscal FY 2023521350001710155-24-000018
10-Q2023-11-09fiscal Q3 2023491370001710155-23-000052
10-Q2023-08-10fiscal Q2 2023491330001710155-23-000044
10-Q2023-05-11fiscal Q1 2023491030001710155-23-000023
10-K2023-03-01fiscal FY 2022511320001710155-23-000011
10-Q2022-11-10fiscal Q3 2022501380001710155-22-000057
10-Q2022-08-11fiscal Q2 2022501340001710155-22-000045
10-Q2022-05-10fiscal Q1 2022501040001710155-22-000019
10-K2022-02-28fiscal FY 2021501300001710155-22-000010
10-Q2021-11-10fiscal Q3 2021481320001710155-21-000062
10-Q2021-08-12fiscal Q2 2021481280001710155-21-000052
10-Q2021-05-13fiscal Q1 2021491020001710155-21-000028
10-K2021-03-03fiscal FY 2020501280001710155-21-000019
10-Q2020-11-05fiscal Q3 2020481320001710155-20-000083
10-Q2020-08-06fiscal Q2 2020481280001710155-20-000064
10-Q2020-05-07fiscal Q1 202047980001710155-20-000032
10-K2020-02-26fiscal FY 2019521840001710155-20-000010
10-Q2019-11-07fiscal Q3 2019491330001710155-19-000070
10-Q2019-08-06fiscal Q2 2019491280001710155-19-000053
10-Q2019-05-09fiscal Q1 2019501020001710155-19-000027
10-K2019-02-27fiscal FY 2018501870001710155-19-000016
10-Q2018-11-13fiscal Q3 2018471220001710155-18-000049
10-Q2018-08-14fiscal Q2 2018481230001710155-18-000035
10-Q2018-05-15fiscal Q1 2018481030001710155-18-000020
10-K2018-03-08fiscal FY 2017481740001710155-18-000012
10-Q2017-12-07fiscal Q3 2017451170001710155-17-000009

Inspect the source

Entity
National Vision Holdings, Inc. / CIK 0001710155
Captured
2026-09-21T17:26:38.975Z
SEC response SHA-256
86c6fafa77cf03524c83e662abaf28f741321a6e01b342df20f533eedca4726f

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/0001710155.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"])))