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Datavault AI Inc.: filings

Every Datavault AI Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 33 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-Q2026-08-19fiscal Q2 2026491430001628280-26-058013
10-Q2026-05-15fiscal Q1 2026531080001682149-26-000008
10-K2026-03-18fiscal FY 2025541060001104659-26-031280
10-Q2025-11-14fiscal Q3 2025551540001104659-25-112637
10-Q2025-08-19fiscal Q2 2025541470001410578-25-001857
10-Q2025-05-14fiscal Q1 2025521050001410578-25-001273
10-K2025-03-31fiscal FY 2024541080001410578-25-000600
10-Q2024-11-14fiscal Q3 2024491430001410578-24-001990
10-Q2024-08-14fiscal Q2 2024501410001410578-24-001446
10-Q2024-05-20fiscal Q1 2024501010001410578-24-000930
10-K2024-04-01fiscal FY 2023531070001410578-24-000412
10-Q2023-11-14fiscal Q3 2023481410001410578-23-002485
10-Q2023-08-14fiscal Q2 2023481360001410578-23-001923
10-Q2023-05-15fiscal Q1 202348960001410578-23-001241
10-K2023-03-17fiscal FY 2022531050001410578-23-000276
10-Q2022-11-16fiscal Q3 2022501470001410578-22-003461
10-Q2022-08-15fiscal Q2 2022511460001410578-22-002644
10-Q2022-05-11fiscal Q1 2022511050001410578-22-001271
10-K2022-03-11fiscal FY 2021521050001410578-22-000337
10-Q2021-11-10fiscal Q3 2021501480001104659-21-136605
10-Q2021-08-10fiscal Q2 2021451250001104659-21-102544
10-Q2021-05-12fiscal Q1 202145930001104659-21-065188
10-K2021-03-16fiscal FY 202049970001104659-21-036564
10-Q2020-11-10fiscal Q3 2020471340001104659-20-123681
10-Q2020-08-13fiscal Q2 2020471300001104659-20-094752
10-Q2020-05-27fiscal Q1 202046960001104659-20-066433
10-K2020-03-25fiscal FY 201948960001104659-20-037958
10-Q2019-11-14fiscal Q3 2019461320001104659-19-063693
10-Q2019-08-14fiscal Q2 2019461280001144204-19-040067
10-Q2019-05-15fiscal Q1 201942880001144204-19-026119
10-K2019-03-29fiscal FY 201848970001144204-19-016754
10-Q2018-11-15fiscal Q3 2018431150001144204-18-060126
10-Q2018-09-24fiscal Q2 2018421130001144204-18-050419

Inspect the source

Entity
Datavault AI Inc. / CIK 0001682149
Captured
2026-09-21T17:25:02.265Z
SEC response SHA-256
327fd05cedf221f88a1af50c26c7004414f2b5261aff4be74209a427d1e2c531

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/0001682149.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"])))