Skip to content

AIBOTICS, INC.: filings

Every AIBOTICS, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 34 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 202630890001096906-26-001264
10-Q2026-06-09fiscal Q1 202630630001096906-26-000922
10-K2026-04-15fiscal FY 202528570001096906-26-000555
10-Q2025-11-19fiscal Q3 202527850001096906-25-001895
10-Q2025-08-19fiscal Q2 202527810001096906-25-001375
10-Q2025-05-20fiscal Q1 202527570001096906-25-000861
10-K2025-04-11fiscal FY 202426530001096906-25-000487
10-Q2024-11-14fiscal Q3 202425780001096906-24-002137
10-Q2024-08-19fiscal Q2 202425740001096906-24-001763
10-Q2024-05-15fiscal Q1 202424510001096906-24-001146
10-K2024-04-23fiscal FY 202326540001096906-24-000907
10-Q2023-11-13fiscal Q3 202323780001096906-23-002130
10-K/A2023-11-06fiscal FY 202227560001096906-23-002096
10-Q/A2023-11-06fiscal Q3 202225820001096906-23-002094
10-Q/A2023-10-17fiscal Q2 202224740001096906-23-002008
10-Q/A2023-10-17fiscal Q1 202223500001096906-23-002006
10-K/A2023-10-17fiscal FY 202128570001096906-23-002003
10-Q2023-08-17fiscal Q2 202324780001096906-23-001623
10-Q2023-07-14fiscal Q1 202323500001096906-23-001409
10-K2023-03-30fiscal FY 202226540001096906-23-000683
10-Q2022-11-14fiscal Q3 202224780001096906-22-002761
10-Q2022-08-11fiscal Q2 202222690001096906-22-001838
10-Q2022-05-23fiscal Q1 202222480001096906-22-001262
10-K2022-04-14fiscal FY 202127560001096906-22-000867
10-Q2021-11-19fiscal Q3 202123700001096906-21-002778
10-Q2021-08-20fiscal Q2 202121640001096906-21-002102
10-Q2021-05-20fiscal Q1 202118400001096906-21-001228
10-K2021-04-15fiscal FY 202028620001096906-21-000766
10-Q2020-11-16fiscal Q3 202022690001096906-20-000306
10-Q2020-08-19fiscal Q2 202022640001445866-20-001242
10-Q2020-05-18fiscal Q1 202021440001445866-20-000692
10-K2020-03-30fiscal FY 201926530001445866-20-000291
10-Q2019-11-14fiscal Q3 2019331010001445866-19-001371
10-Q2019-08-16fiscal Q2 201932960001445866-19-001030

Inspect the source

Entity
AIBOTICS, INC. / CIK 0001763329
Captured
2026-09-21T17:26:24.021Z
SEC response SHA-256
92691bc032539a8e7f8b1790f357d3d1fb785af771d1bb7f1d0d1df7beea37b7

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/0001763329.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"])))