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Virgin Galactic Holdings, Inc.: filings

Every Virgin Galactic Holdings, 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-Q2026-08-12fiscal Q2 2026481380001706946-26-000128
10-Q2026-05-14fiscal Q1 2026481000001706946-26-000068
10-K2026-03-30fiscal FY 2025501010001706946-26-000019
10-Q2025-11-13fiscal Q3 2025481420001706946-25-000150
10-Q2025-08-06fiscal Q2 2025471360001706946-25-000131
10-Q2025-05-15fiscal Q1 202547980001706946-25-000079
10-K2025-02-26fiscal FY 2024511030001706946-25-000038
10-Q2024-11-06fiscal Q3 2024481420001706946-24-000238
10-Q2024-08-07fiscal Q2 2024491400001706946-24-000176
10-Q2024-05-07fiscal Q1 2024491020001706946-24-000105
10-K2024-02-27fiscal FY 2023531390001706946-24-000039
10-Q2023-11-09fiscal Q3 2023501460001706946-23-000136
10-Q2023-08-01fiscal Q2 2023501420001706946-23-000098
10-Q2023-05-09fiscal Q1 2023501040001706946-23-000032
10-K2023-02-28fiscal FY 2022531390001706946-23-000016
10-Q2022-11-03fiscal Q3 2022491440001706946-22-000148
10-Q2022-08-04fiscal Q2 2022481380001706946-22-000124
10-Q2022-05-05fiscal Q1 2022481000001706946-22-000068
10-K2022-02-28fiscal FY 2021541410001706946-22-000035
10-Q2021-11-08fiscal Q3 2021501460001706946-21-000138
10-Q2021-08-05fiscal Q2 2021491400001706946-21-000101
10-Q2021-05-11fiscal Q1 202145940001706946-21-000061
10-K/A2021-05-10fiscal FY 2020542990001706946-21-000056
10-K2021-03-01fiscal FY 2020541730001706946-21-000022
10-Q2020-11-06fiscal Q3 2020471340001706946-20-000046
10-Q2020-08-03fiscal Q2 2020451250001628280-20-011461
10-Q2020-05-06fiscal Q1 202044930001706946-20-000011
10-K2020-02-28fiscal FY 2019511650001628280-20-002471
10-Q2019-11-12fiscal Q3 201914460001104659-19-062718
10-Q2019-08-09fiscal Q2 201912380001144204-19-038923
10-Q2019-05-10fiscal Q1 201913290001144204-19-025267
10-K2019-03-18fiscal FY 201815320001144204-19-014644
10-Q2018-11-14fiscal Q3 201815380001144204-18-059936
10-Q2018-08-14fiscal Q2 201814330001144204-18-044670
10-Q2018-05-15fiscal Q1 201813210001144204-18-028892
10-K2018-02-14fiscal FY 201715170001144204-18-008162
10-Q2017-11-14fiscal Q2 201715190001144204-17-059047

Inspect the source

Entity
Virgin Galactic Holdings, Inc. / CIK 0001706946
Captured
2026-09-21T17:26:19.475Z
SEC response SHA-256
447a91b8375b95ee7e7b69567f4c17d3945e0195c8ce231a50f26cf2b8de6f17

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/0001706946.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"])))