Skip to content

Laser Photonics Corp: filings

Every Laser Photonics Corp annual and quarterly report in the SEC record with the published financial measures it tagged, 37 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 2026401110001493152-26-038459
10-Q2026-06-11fiscal Q1 202641820001493152-26-028310
10-K2026-04-20fiscal FY 202544870001493152-26-018110
10-Q2025-12-23fiscal Q3 2025421190001493152-25-028857
10-Q2025-08-15fiscal Q2 2025441190001641172-25-024367
10-Q2025-07-03fiscal Q1 202539800001641172-25-017657
10-K2025-06-24fiscal FY 202449940001641172-25-016194
10-Q2024-11-18fiscal Q3 2024421170001493152-24-046462
10-Q/A2024-09-24fiscal Q2 2024441200001493152-24-037935
10-Q/A2024-09-12fiscal Q2 2024411170001493152-24-036022
10-K/A2024-09-12fiscal FY 202345870001493152-24-036018
10-Q2024-08-29fiscal Q2 2024411170001493152-24-034236
10-K/A2024-08-28fiscal FY 202345870001493152-24-034224
10-Q/A2024-05-21fiscal Q1 202438940001493152-24-020897
10-Q2024-05-15fiscal Q1 202440840001493152-24-020049
10-K2024-04-19fiscal FY 202342860001654954-24-004797
10-K/A2023-11-17fiscal FY 202241840001654954-23-014537
10-Q2023-11-14fiscal Q3 2023381080001654954-23-014375
10-K/A2023-10-30fiscal FY 202241840001654954-23-013558
10-Q2023-08-15fiscal Q2 202334950001654954-23-010875
10-Q2023-05-10fiscal Q1 202337790001654954-23-006083
10-K2023-04-17fiscal FY 202340820001654954-23-004821
10-Q2022-11-14fiscal Q3 202233940001654954-22-015230
10-Q/A2022-08-26fiscal Q1 202230620001654954-22-011842
10-K/A2022-08-26fiscal FY 202135730001654954-22-011841
10-Q2022-08-15fiscal Q2 202232900001654954-22-011331
10-K/A2022-06-15fiscal FY 202134710001654954-22-008388
10-Q/A2022-06-15fiscal Q3 2021371050001654954-22-008387
10-Q/A2022-06-15fiscal Q2 202135990001654954-22-008386
10-Q2022-05-19fiscal Q1 202229600001654954-22-007237
10-K2022-04-01fiscal FY 202134830001654954-22-004455
10-Q2021-11-19fiscal Q3 2021371050001654954-21-012466
10-Q2021-08-16fiscal Q2 202135990001654954-21-009069
10-Q2021-05-24fiscal Q1 202133760001654954-21-006213
10-K2021-03-26fiscal FY 202030860001654954-21-003360
10-Q2020-11-16fiscal Q3 202028460001104659-20-125197
10-Q/A2020-08-27fiscal Q2 202029680001104659-20-099466

Inspect the source

Entity
Laser Photonics Corp / CIK 0001807887
Captured
2026-09-21T17:33:31.369Z
SEC response SHA-256
b4ed41e44c2255441c1575cc5d23a0aebf7437cccaeb8c112597d3a00bb57dcd

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/0001807887.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"])))