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ENSYSCE BIOSCIENCES, INC.: filings

Every ENSYSCE BIOSCIENCES, INC. 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-Q2026-08-13fiscal Q2 202633970001493152-26-037817
10-Q2026-05-15fiscal Q1 202633670001493152-26-023811
10-K2026-03-30fiscal FY 202539720001493152-26-013633
10-Q2025-11-14fiscal Q3 2025381050001493152-25-023498
10-Q2025-08-13fiscal Q2 2025351020001641172-25-023512
10-Q2025-05-13fiscal Q1 202534690001641172-25-009955
10-K2025-03-10fiscal FY 202435700001493152-25-009703
10-Q2024-11-12fiscal Q3 202433970001493152-24-044768
10-Q2024-08-14fiscal Q2 202433960001493152-24-032263
10-Q2024-05-13fiscal Q1 202433670001493152-24-018718
10-K2024-03-15fiscal FY 202337720001493152-24-009993
10-Q2023-11-09fiscal Q3 202333950001493152-23-040091
10-Q2023-08-11fiscal Q2 202333940001493152-23-027659
10-Q2023-05-15fiscal Q1 202330600001493152-23-017430
10-K2023-03-30fiscal FY 202235680001493152-23-009844
10-Q2022-11-14fiscal Q3 202234940001493152-22-032094
10-Q2022-08-11fiscal Q2 202234930001493152-22-022103
10-Q2022-05-12fiscal Q1 202233630001493152-22-013083
10-K2022-03-31fiscal FY 202136680001493152-22-008438
10-Q2021-11-15fiscal Q3 2021381020001493152-21-028735
10-Q2021-08-16fiscal Q2 202130800001493152-21-019916
10-Q2021-06-08fiscal Q1 202120390001493152-21-013768
10-K/A2021-06-08fiscal FY 202019900001493152-21-013767
10-K2021-03-15fiscal FY 202019370001213900-21-015361
10-Q2020-11-09fiscal Q3 202021630001213900-20-035884
10-Q2020-08-07fiscal Q2 202021590001213900-20-020916
10-Q2020-05-07fiscal Q1 202019380001213900-20-011276
10-K2020-03-10fiscal FY 201920390001213900-20-005867
10-Q2019-11-07fiscal Q3 201919560001213900-19-022353
10-Q2019-08-07fiscal Q2 201919540001213900-19-014824
10-Q2019-05-07fiscal Q1 201919390001615774-19-007145
10-K/A2019-03-12fiscal FY 201820370001615774-19-003970
10-K2019-03-11fiscal FY 201820370001615774-19-003912
10-Q2018-11-07fiscal Q3 201818400001615774-18-012252
10-Q2018-08-01fiscal Q2 201818330001615774-18-007354
10-Q2018-05-03fiscal Q1 201818270001615774-18-003286
10-K2018-03-09fiscal FY 201718180001615774-18-001769
10-Q2018-01-09fiscal Q3 201710100001615774-18-000221

Inspect the source

Entity
ENSYSCE BIOSCIENCES, INC. / CIK 0001716947
Captured
2026-09-21T17:24:39.335Z
SEC response SHA-256
28573a09f81da1511239531464c03b2552a3554a684a233653f365b194b6ca0b

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/0001716947.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"])))