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Rein Therapeutics, Inc.: filings

Every Rein Therapeutics, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 37 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-Q2026-08-14fiscal Q2 2026351000001193125-26-350270
10-Q2026-05-15fiscal Q1 202633700001193125-26-225352
10-K2026-03-26fiscal FY 202540820001193125-26-126385
10-Q2025-11-14fiscal Q3 2025361070001193125-25-281622
10-Q2025-08-14fiscal Q2 2025361030000950170-25-108836
10-Q2025-05-15fiscal Q1 202536750000950170-25-072607
10-K2025-04-07fiscal FY 202441820000950170-25-051566
10-Q2024-11-14fiscal Q3 202435990000950170-24-127019
10-Q2024-08-14fiscal Q2 202436980000950170-24-097199
10-Q2024-05-15fiscal Q1 202433670000950170-24-060583
10-K2024-04-15fiscal FY 202342770000950170-24-044508
10-Q2023-10-13fiscal Q3 202334990000950170-23-053302
10-Q2023-08-11fiscal Q2 202334960000950170-23-041839
10-Q2023-05-08fiscal Q1 202334680000950170-23-018476
10-K2023-03-20fiscal FY 202240780000950170-23-008767
10-Q2022-11-01fiscal Q3 2022361040000950170-22-020709
10-Q2022-08-15fiscal Q2 2022361000000950170-22-017372
10-Q2022-05-05fiscal Q1 202232640000950170-22-007793
10-K2022-03-28fiscal FY 202136680000950170-22-004774
10-Q2021-11-12fiscal Q3 202132890001564590-21-056443
10-Q2021-08-11fiscal Q2 202132850001564590-21-043417
10-Q2021-05-11fiscal Q1 202132620001564590-21-026527
10-K2021-03-24fiscal FY 2020351250001564590-21-015115
10-Q2020-11-12fiscal Q3 202032890001564590-20-053535
10-Q2020-08-05fiscal Q2 202032850001564590-20-036769
10-Q2020-05-11fiscal Q1 202032630001564590-20-023862
10-K2020-03-30fiscal FY 2019361190001564590-20-014155
10-Q2019-11-07fiscal Q3 201932880001564590-19-041324
10-Q2019-08-06fiscal Q2 201932840001564590-19-029328
10-Q2019-05-08fiscal Q1 201932620001564590-19-017291
10-K2019-03-29fiscal FY 2018321180001564590-19-010007
10-Q2018-11-07fiscal Q3 201830780001564590-18-027987
10-Q2018-08-07fiscal Q2 201830780001564590-18-019901
10-Q2018-05-09fiscal Q1 201827560001564590-18-012373
10-K2018-04-02fiscal FY 2017271240001564590-18-007403
10-Q2017-11-09fiscal Q3 201726700001564590-17-023244
10-Q2017-08-10fiscal Q2 201725690001193125-17-254426

Inspect the source

Entity
Rein Therapeutics, Inc. / CIK 0001420565
Captured
2026-09-20T08:03:08.332Z
SEC response SHA-256
738607e4a3c0c19670e61ee352369b40b71b7a47ee3fa97917f4b27e7539aaaf

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/0001420565.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"])))