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Clearside Biomedical, Inc.: filings

Every Clearside Biomedical, 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-Q2025-11-14fiscal Q3 2025351020001193125-25-282949
10-Q2025-08-08fiscal Q2 202535980000950170-25-105812
10-Q2025-05-15fiscal Q1 202535720000950170-25-072568
10-K2025-03-27fiscal FY 202436910000950170-25-046134
10-Q2024-11-12fiscal Q3 202434960000950170-24-125425
10-Q2024-08-12fiscal Q2 202434920000950170-24-095489
10-Q2024-05-10fiscal Q1 202434700000950170-24-057834
10-K2024-03-12fiscal FY 202337940000950170-24-030126
10-Q2023-11-13fiscal Q3 202334990000950170-23-063025
10-Q2023-08-14fiscal Q2 202334950000950170-23-042469
10-Q2023-05-12fiscal Q1 202333690000950170-23-021746
10-K2023-03-14fiscal FY 202236930000950170-23-007732
10-Q2022-11-09fiscal Q3 202234960000950170-22-023525
10-Q2022-08-12fiscal Q2 202229760000950170-22-017137
10-Q2022-05-12fiscal Q1 202229600000950170-22-009687
10-K2022-03-11fiscal FY 202135890000950170-22-003468
10-Q2021-11-10fiscal Q3 202130800000950170-21-004115
10-Q2021-08-10fiscal Q2 202130760000950170-21-001194
10-Q2021-05-17fiscal Q1 202130600000950170-21-000264
10-K2021-03-15fiscal FY 202031790001564590-21-013027
10-Q2020-11-10fiscal Q3 202031860001564590-20-053043
10-Q2020-08-10fiscal Q2 202031820001564590-20-038893
10-Q2020-05-08fiscal Q1 202031640001564590-20-023620
10-K2020-03-13fiscal FY 201934990001564590-20-010810
10-Q2019-11-08fiscal Q3 201932830001564590-19-042264
10-Q2019-08-08fiscal Q2 201932790001564590-19-030795
10-Q2019-05-10fiscal Q1 201933660001564590-19-018552
10-K2019-03-15fiscal FY 2018341030001564590-19-007887
10-Q2018-11-08fiscal Q3 201831790001564590-18-028565
10-Q2018-08-08fiscal Q2 201831780001564590-18-020519
10-Q2018-05-10fiscal Q1 201828570001564590-18-012957
10-K2018-03-16fiscal FY 201727830001564590-18-006055
10-Q2017-11-09fiscal Q3 201727690001564590-17-023267
10-Q2017-08-11fiscal Q2 201727680001564590-17-017332
10-Q2017-05-10fiscal Q1 201727540001564590-17-010255
10-K2017-03-16fiscal FY 201628840001564590-17-004643
10-Q2016-11-14fiscal Q3 201628700001564590-16-029242
10-Q2016-08-12fiscal Q2 201626660001564590-16-024181

Inspect the source

Entity
Clearside Biomedical, Inc. / CIK 0001539029
Captured
2026-09-21T17:20:49.988Z
SEC response SHA-256
a1437e2d374588cac8926bbfdba573de86fcfd157d10f28f6b263d180fc3d71b

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/0001539029.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"])))