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SENESTECH, INC.: filings

Every SENESTECH, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 41 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-Q2026-08-06fiscal Q2 2026431190001628280-26-053602
10-Q2026-05-13fiscal Q1 202643890001628280-26-034244
10-K2026-03-13fiscal FY 2025501010001628280-26-017384
10-Q2025-11-10fiscal Q3 2025441270001628280-25-051177
10-Q2025-08-08fiscal Q2 2025441230001628280-25-039024
10-Q2025-05-08fiscal Q1 202541860001628280-25-023925
10-K2025-03-13fiscal FY 202448980001628280-25-012408
10-Q2024-11-12fiscal Q3 2024441270001628280-24-047314
10-Q2024-08-08fiscal Q2 2024441230001628280-24-036248
10-Q2024-05-09fiscal Q1 202442870001628280-24-022348
10-K2024-02-21fiscal FY 202349990001628280-24-005919
10-Q2023-11-09fiscal Q3 2023441270001628280-23-038343
10-Q2023-08-11fiscal Q2 2023441230001628280-23-028937
10-Q2023-05-11fiscal Q1 202342870001628280-23-017659
10-K2023-03-17fiscal FY 202249990001628280-23-008353
10-Q2022-11-14fiscal Q3 2022421150001213900-22-072148
10-Q2022-08-12fiscal Q2 2022421170001213900-22-047368
10-Q2022-05-13fiscal Q1 202239800001213900-22-026425
10-K2022-03-29fiscal FY 202139790001213900-22-015848
10-Q2021-11-12fiscal Q3 2021381010001213900-21-058652
10-Q2021-08-13fiscal Q2 2021371010001213900-21-042464
10-Q2021-05-14fiscal Q1 202137770001213900-21-026400
10-K2021-03-29fiscal FY 202038780001213900-21-018287
10-Q2020-11-13fiscal Q3 2020381020001213900-20-036787
10-Q2020-08-13fiscal Q2 202037980001213900-20-021758
10-Q2020-05-15fiscal Q1 202037760001213900-20-012605
10-K2020-03-17fiscal FY 201936730001213900-20-006565
10-Q2019-11-14fiscal Q3 201936970001213900-19-023283
10-Q2019-08-14fiscal Q2 201935960001213900-19-015650
10-Q2019-05-15fiscal Q1 201935730001615774-19-007943
10-K2019-03-29fiscal FY 201836740001615774-19-004827
10-Q2018-11-14fiscal Q3 201935890001615774-18-012611
10-Q2018-08-14fiscal Q2 201833840001615774-18-008053
10-Q2018-05-15fiscal Q1 201833670001615774-18-003855
10-K2018-03-30fiscal FY 201736740001615774-18-002215
10-Q2017-11-08fiscal Q3 201735870001615774-17-006359
10-Q/A2017-11-07fiscal Q2 201731800001615774-17-006279
10-Q/A2017-11-06fiscal Q1 201731640001615774-17-006277
10-K/A2017-11-06fiscal FY 201636700001615774-17-006273
10-Q2017-08-14fiscal Q2 201731800001615774-17-004300
10-Q2017-05-15fiscal Q1 201731640001144204-17-027022

Inspect the source

Entity
SENESTECH, INC. / CIK 0001680378
Captured
2026-09-21T17:23:07.751Z
SEC response SHA-256
386b2b21f2197020b6e6d19aa41d401b7458a942c8bb871ddea07fd26ad10949

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/0001680378.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"])))