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Mural Oncology plc: filings

Every Mural Oncology plc annual and quarterly report in the SEC record with the published financial measures it tagged, 9 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-Q2025-11-06fiscal Q3 2025381100001193125-25-268122
10-Q2025-08-04fiscal Q2 2025391110000950170-25-101637
10-Q2025-05-14fiscal Q1 202539820000950170-25-071364
10-K2025-03-11fiscal FY 202441790000950170-25-037138
10-Q2024-11-13fiscal Q3 2024391090000950170-24-125928
10-Q2024-08-13fiscal Q2 2024371020000950170-24-095752
10-Q2024-05-14fiscal Q1 202437730000950170-24-059072
10-K2024-03-26fiscal FY 202338740000950170-24-036484
10-Q2023-12-14fiscal Q3 202331900000950170-23-070413

Inspect the source

Entity
Mural Oncology plc / CIK 0001971543
Captured
2026-09-21T17:37:01.097Z
SEC response SHA-256
6e2ef745958f41d58d256c6f0ba50306b6f968296f9b51e8d4ea4105ff242b6f

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/0001971543.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"])))