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Beyond Air, Inc.: filings

Every Beyond Air, 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-Q2026-08-13fiscal Q1 202748980001493152-26-037781
10-K2026-06-26fiscal FY 2026531050001493152-26-030287
10-Q2026-02-13fiscal Q3 2026511490001493152-26-006688
10-Q2025-11-10fiscal Q2 2026511420001493152-25-021561
10-Q2025-08-12fiscal Q1 202649990001641172-25-023243
10-K2025-06-20fiscal FY 2025521020001641172-25-015750
10-Q2025-02-10fiscal Q3 2025491410001493152-25-005678
10-Q2024-11-12fiscal Q2 2024491360001493152-24-044579
10-Q2024-08-06fiscal Q1 202448970001493152-24-030444
10-K2024-06-24fiscal FY 202452980001493152-24-025000
10-Q2024-02-12fiscal Q3 2024531450001493152-24-005930
10-Q2023-11-13fiscal Q2 2024531400001493152-23-040626
10-Q2023-08-10fiscal Q1 202452990001493152-23-027625
10-K2023-06-22fiscal FY 202347880001493152-23-022150
10-Q2023-02-10fiscal Q3 2023441190001493152-23-004156
10-Q2022-11-08fiscal Q2 2023441150001493152-22-030992
10-Q2022-08-11fiscal Q1 202346890001493152-22-022142
10-K2022-06-29fiscal FY 202245840001493152-22-018006
10-Q2022-02-10fiscal Q3 2022421130001493152-22-003817
10-Q2021-11-12fiscal Q2 202238980001493152-21-027977
10-Q2021-08-10fiscal Q1 202237720001493152-21-019206
10-K2021-06-10fiscal FY 202139740001493152-21-014050
10-Q2021-02-09fiscal Q3 202136960001493152-21-003109
10-Q2020-11-12fiscal Q2 202135890001493152-20-021017
10-Q2020-08-06fiscal Q1 202134690001493152-20-014898
10-K2020-06-23fiscal FY 202038720001493152-20-011662
10-Q2020-02-07fiscal Q3 202036920001493152-20-001805
10-Q2019-11-06fiscal Q2 202035830001493152-19-016559
10-Q2019-08-14fiscal Q1 201934610001493152-19-012600
10-K2019-06-28fiscal FY 2019371160001493152-19-009826
10-Q2019-02-14fiscal Q3 201935930001493152-19-002083
10-Q2018-11-14fiscal Q2 201927670001493152-18-016188
10-Q2018-08-14fiscal Q1 201924500001493152-18-011616
10-K2018-03-30fiscal FY 201728550001178913-18-001051
10-Q2017-11-03fiscal Q3 201726780001178913-17-002998
10-Q2017-08-11fiscal Q2 201721620001178913-17-002381
10-Q2017-05-15fiscal Q1 201721440001178913-17-001480
10-K2017-03-31fiscal FY 201622420001477932-17-001466

Inspect the source

Entity
Beyond Air, Inc. / CIK 0001641631
Captured
2026-09-21T17:22:55.397Z
SEC response SHA-256
8c7ec60b705165c57e081689781cd99d6d09aec9d63d3c26b9a17905899d3496

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/0001641631.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"])))