Skip to content

ELECTRONIC SERVITOR PUBLICATION NETWORK INC.: filings

Every ELECTRONIC SERVITOR PUBLICATION NETWORK INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 36 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 Q2 202627900001683168-26-006341
10-Q2026-08-06fiscal Q1 202627580001683168-26-006045
10-K2026-07-06fiscal FY 202528580001683168-26-005287
10-Q2026-06-23fiscal Q3 202527940001683168-26-005063
10-Q2026-06-23fiscal Q2 202527900001683168-26-005062
10-Q2026-06-17fiscal Q1 202527570001683168-26-004905
10-K2026-06-11fiscal FY 202428580001683168-26-004740
10-Q2026-06-01fiscal Q3 202427940001683168-26-004421
10-Q2026-06-01fiscal Q2 202427900001683168-26-004419
10-Q2026-05-05fiscal Q1 202427580001683168-26-003482
10-K2024-04-01fiscal FY 202328580001683168-24-002022
10-Q/A2023-11-15fiscal Q3 202327940001683168-23-008168
10-Q2023-08-14fiscal Q2 202326830001214659-23-011311
10-Q2023-05-15fiscal Q1 202322450001214659-23-007091
10-K2023-03-29fiscal FY 202222400001214659-23-004363
10-Q2022-11-14fiscal Q3 202221550001214659-22-013569
10-Q2022-08-22fiscal Q2 202217440001214659-22-010444
10-Q2022-05-23fiscal Q1 202215290001214659-22-007309
10-K2022-04-12fiscal FY 202115240001214659-22-005093
10-Q/A2021-11-24fiscal Q3 202121670001214659-21-012203
10-Q2021-11-15fiscal Q3 202121670001214659-21-011729
10-Q/A2021-08-27fiscal Q1 202121440001214659-21-009056
10-Q2021-08-23fiscal Q2 202121620001214659-21-008870
10-Q2021-05-14fiscal Q1 202121440001214659-21-005374
10-K2021-03-30fiscal FY 202023440001214659-21-003587
10-Q2020-11-13fiscal Q3 202023680001214659-20-009418
10-Q2020-08-13fiscal Q2 202022630001214659-20-007004
10-Q2020-05-14fiscal Q1 202022450001214659-20-004589
10-K2020-04-08fiscal FY 201924460001214659-20-003250
10-Q2019-11-14fiscal Q3 201923690001214659-19-007165
10-Q2019-09-10fiscal Q2 201922610001214659-19-005739
10-Q2019-08-07fiscal Q1 201920390001214659-19-005035
10-K2019-04-15fiscal FY 201822350001214659-19-002708
10-Q2018-12-20fiscal Q3 201822450001214659-18-007760
10-Q/A2018-12-07fiscal Q2 201818360001214659-18-007569
10-Q2018-10-09fiscal Q2 201819380001214659-18-006440

Inspect the source

Entity
ELECTRONIC SERVITOR PUBLICATION NETWORK INC. / CIK 0001709542
Captured
2026-09-21T17:24:45.983Z
SEC response SHA-256
75ff78437dc74d039a4556b3e2f86a86185ea25673063dd569406abb3e615019

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/0001709542.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"])))