Skip to content

FORTE BIOSCIENCES, INC.: filings

Every FORTE 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-Q2026-08-12fiscal Q2 2026371020001193125-26-346787
10-Q2026-05-11fiscal Q1 202636760001193125-26-215862
10-K2026-03-31fiscal FY 202539800001193125-26-134498
10-Q2025-11-14fiscal Q3 202533930001193125-25-281808
10-Q2025-08-14fiscal Q2 202532860000950170-25-108889
10-Q2025-05-15fiscal Q1 202531650000950170-25-072569
10-K2025-03-28fiscal FY 202434700000950170-25-046749
10-Q2024-11-14fiscal Q3 202432910000950170-24-127031
10-Q2024-08-14fiscal Q2 202432860000950170-24-096988
10-Q2024-05-13fiscal Q1 202432650000950170-24-058669
10-K2024-03-18fiscal FY 202333610000950170-24-032843
10-Q2023-11-13fiscal Q3 202330830000950170-23-062907
10-Q2023-08-14fiscal Q2 202329830000950170-23-042518
10-Q2023-05-15fiscal Q1 202325540000950170-23-022184
10-K2023-03-31fiscal FY 202229580000950170-23-011355
10-Q2022-11-14fiscal Q3 202227820000950170-22-024977
10-Q2022-08-15fiscal Q2 202226770000950170-22-017378
10-Q2022-05-16fiscal Q1 202222470001564590-22-020257
10-K2022-03-31fiscal FY 202127530001564590-22-012987
10-Q2021-11-08fiscal Q3 202125690001564590-21-055083
10-Q2021-08-16fiscal Q2 202125660001564590-21-044463
10-Q2021-05-10fiscal Q1 202123500001564590-21-026044
10-K2021-03-16fiscal FY 202028560001564590-21-013249
10-Q2020-11-09fiscal Q3 202026700001564590-20-052509
10-Q2020-08-10fiscal Q2 202025640001564590-20-038950
10-Q2020-04-23fiscal Q1 202032640001564590-20-018200
10-K2020-02-27fiscal FY 2019381120001564590-20-007402
10-Q2019-11-12fiscal Q3 201935930001564590-19-042987
10-Q2019-08-08fiscal Q2 201932850001564590-19-030897
10-Q2019-05-07fiscal Q1 201931650001564590-19-016543
10-K2019-02-27fiscal FY 2018351070001564590-19-004933
10-Q2018-11-08fiscal Q3 201831810001564590-18-028639
10-Q2018-08-09fiscal Q2 201830780001564590-18-021106
10-Q2018-05-11fiscal Q1 201827560001564590-18-013236
10-K2018-03-09fiscal FY 201730930001564590-18-005132
10-Q2017-11-08fiscal Q3 201726670001564590-17-022849
10-Q2017-08-09fiscal Q2 201726670001564590-17-017036
10-Q2017-05-23fiscal Q1 201726530001564590-17-011571

Inspect the source

Entity
FORTE BIOSCIENCES, INC. / CIK 0001419041
Captured
2026-09-21T17:19:39.377Z
SEC response SHA-256
97a8cfde84ea5a1e6e1cc5bf6c43c7b79aff3db0e95d5360fc3b1b4c3b567812

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/0001419041.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"])))