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Monopar Therapeutics Inc.: filings

Every Monopar Therapeutics Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 35 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 202624700001437749-26-027164
10-Q2026-05-14fiscal Q1 202624500001437749-26-016982
10-K2026-03-27fiscal FY 202531620001437749-26-010025
10-Q2025-11-13fiscal Q3 202526780001437749-25-034617
10-Q2025-08-12fiscal Q2 202525720001437749-25-026042
10-Q2025-05-13fiscal Q1 202523470001437749-25-016263
10-K2025-03-31fiscal FY 202428560001437749-25-009979
10-Q2024-11-08fiscal Q3 202421680001437749-24-034048
10-Q2024-08-09fiscal Q2 202422660001437749-24-025651
10-Q2024-05-09fiscal Q1 202422460001437749-24-015454
10-K2024-03-28fiscal FY 202329580001437749-24-009687
10-Q2023-11-09fiscal Q3 202323720001437749-23-031066
10-Q2023-08-10fiscal Q2 202323680001437749-23-022874
10-Q2023-05-11fiscal Q1 202323490001654954-23-006119
10-K2023-03-23fiscal FY 202228580001654954-23-003384
10-Q2022-11-10fiscal Q3 202223750001654954-22-014939
10-Q2022-08-11fiscal Q2 202223680001654954-22-011015
10-Q2022-05-12fiscal Q1 202223490001654954-22-006507
10-K2022-03-24fiscal FY 202124500001654954-22-003701
10-Q2021-11-12fiscal Q3 202120640001654954-21-012022
10-Q2021-08-12fiscal Q2 202120600001654954-21-008791
10-Q2021-05-13fiscal Q1 202120440001654954-21-005623
10-K2021-03-25fiscal FY 202026540001654954-21-003243
10-Q2020-11-12fiscal Q3 202021660001654954-20-012194
10-Q2020-08-06fiscal Q2 202022660001654954-20-008590
10-Q2020-05-07fiscal Q1 202022480001654954-20-005004
10-K2020-03-27fiscal FY 201921440001654954-20-003363
10-Q2019-11-12fiscal Q3 201921710001654954-19-012706
10-Q2019-08-08fiscal Q2 201921690001654954-19-009059
10-Q2019-05-10fiscal Q1 201921510001654954-19-005624
10-K2019-02-26fiscal FY 201826540001654954-19-002003
10-Q2018-11-09fiscal Q3 201821580001654954-18-012330
10-Q2018-08-09fiscal Q2 201821580001654954-18-008758
10-Q2018-05-11fiscal Q1 201819400001654954-18-005108
10-K2018-03-26fiscal FY 201723480001654954-18-003136

Inspect the source

Entity
Monopar Therapeutics Inc. / CIK 0001645469
Captured
2026-09-21T17:22:36.466Z
SEC response SHA-256
11b3f240217511123d89b32408ab3beb4dce0c8844d2a4f4fb7c1085084888d1

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/0001645469.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"])))