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Renalytix plc: filings

Every Renalytix plc 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-Q2024-11-19fiscal Q1 202543840000950170-24-128687
10-K2024-09-30fiscal FY 202444860000950170-24-110315
10-Q2024-05-15fiscal Q3 2024431270000950170-24-060033
10-Q2024-02-14fiscal Q2 2024421210000950170-24-015276
10-Q2023-11-14fiscal Q1 202441810000950170-23-063363
10-K2023-09-28fiscal FY 202345860000950170-23-050231
20-F2022-10-31fiscal FY 2022461170000950170-22-020618
20-F/A2022-08-01fiscal FY 2021411070001193125-22-208827
20-F2021-10-21fiscal FY 2021391030001193125-21-303600
20-F/A2020-11-10fiscal FY 202030850001193125-20-289263

Inspect the source

Entity
Renalytix plc / CIK 0001811115
Captured
2026-09-21T17:28:31.443Z
SEC response SHA-256
932cca199b30b6128a9a8e5183cc4c69be0209f7a679c41e4861c5ed7dfc867e

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/0001811115.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"])))