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PROMIS NEUROSCIENCES INC.: filings

Every PROMIS NEUROSCIENCES INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 17 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 202630870001104659-26-095895
10-Q2026-05-12fiscal Q1 202630630001104659-26-059035
10-K2026-03-25fiscal FY 202535710001104659-26-034554
10-Q2025-11-12fiscal Q3 202532910001104659-25-109719
10-Q2025-08-13fiscal Q2 202532890001558370-25-011299
10-Q2025-05-12fiscal Q1 202532650001558370-25-007255
10-K2025-03-31fiscal FY 202439770001558370-25-004068
10-Q2024-11-14fiscal Q3 202435980001558370-24-015634
10-Q2024-08-08fiscal Q2 2024361010001558370-24-011476
10-Q2024-05-14fiscal Q1 202436710001558370-24-008145
10-K2024-04-01fiscal FY 202343820001558370-24-004532
10-Q2023-11-14fiscal Q3 2023391050001558370-23-019048
10-Q2023-08-14fiscal Q2 2023381040001558370-23-014914
10-Q2023-05-15fiscal Q1 202338780001558370-23-009954
10-K2023-03-08fiscal FY 202244880001558370-23-003167
10-Q2022-11-14fiscal Q3 2022451210001104659-22-117657
10-Q2022-08-12fiscal Q2 2022441200001104659-22-089668

Inspect the source

Entity
PROMIS NEUROSCIENCES INC. / CIK 0001374339
Captured
2026-09-20T07:57:21.325Z
SEC response SHA-256
5596b067574a7cc20a477d7fe8f05d7e17a50dc3ec4bb50162e42b7bc31f01dd

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/0001374339.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"])))