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CG Oncology, Inc.: filings

Every CG Oncology, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 10 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-Q2026-08-06fiscal Q2 2026471200001193125-26-336918
10-Q2026-05-08fiscal Q1 202646910001193125-26-214669
10-K2026-02-27fiscal FY 2025521230001193125-26-079498
10-Q2025-11-14fiscal Q3 2025461220001193125-25-283000
10-Q2025-08-08fiscal Q2 2025371040000950170-25-105855
10-Q2025-05-13fiscal Q1 202536750000950170-25-069831
10-K2025-03-28fiscal FY 202440780000950170-25-046351
10-Q2024-11-12fiscal Q3 2024381110000950170-24-124642
10-Q2024-08-08fiscal Q2 2024381080000950170-24-093238
10-Q2024-05-09fiscal Q1 202438770000950170-24-056196

Inspect the source

Entity
CG Oncology, Inc. / CIK 0001991792
Captured
2026-09-21T17:39:40.083Z
SEC response SHA-256
4a7d07d6b18676f186912688480f3872f3abe92a091250d009ccda2eada417c8

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/0001991792.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"])))