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NRX Pharmaceuticals, Inc.: filings

Every NRX Pharmaceuticals, 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-Q2026-08-14fiscal Q2 2026411110001437749-26-028027
10-Q2026-05-15fiscal Q1 202641830001437749-26-017397
10-K2026-03-23fiscal FY 202540800001437749-26-009418
10-Q2025-11-14fiscal Q3 2024421160001437749-25-035210
10-Q2025-08-18fiscal Q2 202431850001437749-25-027167
10-Q2025-05-15fiscal Q1 202431640001437749-25-017252
10-K2025-03-14fiscal FY 202434680001437749-25-007743
10-Q2024-11-14fiscal Q3 202433970001437749-24-035289
10-Q2024-08-14fiscal Q2 202432910001437749-24-026847
10-Q2024-05-14fiscal Q1 202434710001558370-24-008144
10-K2024-03-29fiscal FY 202333640001558370-24-004396
10-Q2023-11-14fiscal Q3 2023361020001558370-23-019008
10-Q2023-08-14fiscal Q2 202336950001558370-23-014873
10-Q2023-05-15fiscal Q1 202334690001558370-23-009950
10-K2023-03-31fiscal FY 202237740001558370-23-005292
10-Q2022-11-14fiscal Q3 2022341040001558370-22-017772
10-Q2022-08-15fiscal Q2 2022351000001558370-22-013673
10-Q/A2022-08-12fiscal Q3 2021371080001558370-22-013518
10-Q/A2022-08-12fiscal Q2 2021371010001558370-22-013514
10-Q2022-05-16fiscal Q1 202233660001558370-22-008948
10-K2022-03-31fiscal FY 202137740001558370-22-004899
10-Q2021-11-15fiscal Q3 2021361040001558370-21-015962
10-Q2021-08-16fiscal Q2 202136970001104659-21-106483
10-Q2021-05-21fiscal Q1 202118370001193125-21-168067
10-K/A2021-05-14fiscal FY 202019390001654954-21-005637
10-K2021-04-01fiscal FY 202019390001654954-21-003783
10-Q2020-11-16fiscal Q3 202019620001654954-20-012511
10-Q2020-08-14fiscal Q2 202019580001654954-20-009190
10-Q2020-05-15fiscal Q1 202019400001654954-20-005634
10-K2020-03-30fiscal FY 201920410001654954-20-003527
10-Q2019-11-14fiscal Q3 201919620001654954-19-012962
10-Q2019-08-14fiscal Q2 201919580001654954-19-009612
10-Q2019-05-15fiscal Q1 201918380001654954-19-006096
10-K2019-03-15fiscal FY 201821430001654954-19-002833
10-Q2018-11-08fiscal Q3 201819460001654954-18-012244
10-Q2018-08-08fiscal Q2 201818330001654954-18-008656
10-Q2018-05-15fiscal Q1 201818260001654954-18-005418
10-K2018-03-23fiscal FY 201719200001654954-18-003022

Inspect the source

Entity
NRX Pharmaceuticals, Inc. / CIK 0001719406
Captured
2026-09-21T17:27:10.215Z
SEC response SHA-256
6397c43beff03c5cfffaefec8f7831ab311854b7252e2db1d5c35f1cb8b83bdf

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/0001719406.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"])))