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Vistra Operations Company LLC: filings

Every Vistra Operations Company LLC annual and quarterly report in the SEC record with the published financial measures it tagged, 38 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-Q2026-08-10fiscal Q2 2026461320001692819-26-000019
10-Q2026-05-08fiscal Q1 202645940001692819-26-000014
10-K2026-02-27fiscal FY 2025531370001692819-26-000006
10-Q2025-11-07fiscal Q3 2025471380001692819-25-000094
10-Q2025-08-08fiscal Q2 2025481380001692819-25-000085
10-Q2025-05-08fiscal Q1 2025481000001692819-25-000035
10-K2025-02-28fiscal FY 2024541390001692819-25-000013
10-Q2024-11-08fiscal Q3 2024511500001692819-24-000069
10-Q2024-08-09fiscal Q2 2024511460001692819-24-000061
10-Q2024-05-10fiscal Q1 2024481000001692819-24-000033
10-K2024-02-29fiscal FY 2023551400001692819-24-000012
10-Q2023-11-07fiscal Q3 2023481360001628280-23-037205
10-Q2023-08-09fiscal Q2 2023481360001628280-23-028436
10-Q2023-05-09fiscal Q1 2023481020001628280-23-016662
10-K2023-03-01fiscal FY 2022551440001692819-23-000005
10-Q2022-11-04fiscal Q3 2022481360001692819-22-000024
10-Q2022-08-05fiscal Q2 2022481360001692819-22-000017
10-Q2022-05-06fiscal Q1 2022481020001692819-22-000011
10-K2022-02-25fiscal FY 2021561470001692819-22-000005
10-Q2021-11-05fiscal Q3 2021481340001692819-21-000015
10-Q2021-08-05fiscal Q2 2021481340001692819-21-000011
10-Q2021-05-04fiscal Q1 2021481020001692819-21-000007
10-K2021-02-26fiscal FY 2020551450001692819-21-000004
10-Q2020-11-04fiscal Q3 2020481340001692819-20-000019
10-Q2020-08-05fiscal Q2 2020481340001692819-20-000015
10-Q2020-05-05fiscal Q1 2020481020001692819-20-000010
10-K2020-02-28fiscal FY 2019541940001692819-20-000005
10-Q2019-11-05fiscal Q3 2019471330001692819-19-000018
10-Q2019-08-02fiscal Q2 2019471350001692819-19-000015
10-Q2019-05-03fiscal Q1 2019461030001692819-19-000008
10-K2019-02-28fiscal Q4 201837910001692819-19-000005
10-Q2018-11-02fiscal Q3 2018431240001692819-18-000048
10-Q2018-08-06fiscal Q2 2018431220001692819-18-000045
10-Q2018-05-04fiscal Q1 201840880001692819-18-000022
10-K2018-02-26fiscal Q4 201721430001692819-18-000018
10-Q2017-11-03fiscal Q3 201720400001692819-17-000022
10-Q2017-08-04fiscal Q2 201720400001692819-17-000010
10-Q2017-05-18fiscal Q1 201719380001692819-17-000004

Inspect the source

Entity
Vistra Operations Company LLC / CIK 0001692819
Captured
2026-09-21T17:25:28.570Z
SEC response SHA-256
c0484a20916438410181975f561d3f9307116cdf096c4c6abd386cdd7228e1e1

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/0001692819.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"])))