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VirTra, Inc.: filings

Every VirTra, 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 2026481450001437749-26-027657
10-Q2026-05-11fiscal Q1 2026481080001493152-26-022222
10-K2026-03-26fiscal FY 2025541350001493152-26-012903
10-Q2025-11-10fiscal Q3 2025481380001493152-25-021505
10-Q2025-08-11fiscal Q2 2025481350001641172-25-022972
10-Q2025-05-12fiscal Q1 2025481000001641172-25-009672
10-K2025-03-27fiscal FY 2024531060001641172-25-000951
10-Q2024-11-12fiscal Q3 2024471280001493152-24-044748
10-Q2024-08-12fiscal Q2 2024471270001493152-24-031281
10-Q2024-05-14fiscal Q1 202446960001493152-24-019234
10-K2024-04-01fiscal FY 2023501020001493152-24-012364
10-Q2023-11-14fiscal Q3 2023461270001493152-23-040948
10-Q2023-08-14fiscal Q2 2023471290001493152-23-028420
10-Q2023-05-15fiscal Q1 202346960001493152-23-017369
10-K2023-03-31fiscal FY 2022511050001493152-23-010250
10-Q2022-11-14fiscal Q3 2022491310001493152-22-032026
10-Q2022-08-19fiscal Q2 2022481280001493152-22-023525
10-Q2022-08-11fiscal Q1 202248970001493152-22-022073
10-K2022-08-02fiscal FY 2021511030001493152-22-020976
10-Q2021-11-15fiscal Q3 2021491340001493152-21-028608
10-Q2021-08-12fiscal Q2 2021451240001493152-21-019507
10-Q2021-05-17fiscal Q1 202145920001493152-21-011874
10-K2021-03-29fiscal FY 202048980001493152-21-007053
10-Q2020-11-10fiscal Q3 2020451260001493152-20-020927
10-Q2020-08-12fiscal Q2 2020441250001493152-20-015285
10-Q2020-05-12fiscal Q1 202043910001493152-20-008374
10-K2020-03-23fiscal FY 201949950001493152-20-004519
10-Q2019-11-12fiscal Q3 2019471270001493152-19-016893
10-Q2019-08-13fiscal Q2 2019471270001493152-19-012205
10-Q2019-05-13fiscal Q1 201945880001493152-19-006919
10-K2019-04-01fiscal FY 201846890001493152-19-004401
10-Q2018-11-14fiscal Q3 2018401140001493152-18-016070
10-Q2018-08-13fiscal Q2 2018391110001493152-18-011492
10-Q2018-05-14fiscal Q1 201839780001493152-18-006799
10-K2018-03-30fiscal FY 201742850001493152-18-004294
10-Q2018-03-30fiscal Q3 2017391100001493152-18-004277

Inspect the source

Entity
VirTra, Inc. / CIK 0001085243
Captured
2026-09-20T05:21:16.121Z
SEC response SHA-256
6f858b7910922b2aa95395c591aa37ac18eecaed93adf9b1fcb6999b65d9c47a

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/0001085243.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"])))