Skip to content

PHOTOZOU HOLDINGS, INC.: filings

Every PHOTOZOU HOLDINGS, INC. 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-K2026-03-30fiscal FY 202426530001627469-26-000006
10-Q2024-11-13fiscal Q3 202424760001599916-24-000254
10-Q/A2024-09-17fiscal Q2 202424730001599916-24-000223
10-Q2024-07-12fiscal Q2 202424730001599916-24-000195
10-Q2024-04-04fiscal Q1 202424520001599916-24-000099
10-K2024-03-08fiscal FY 202324500001599916-24-000073
10-Q2023-10-24fiscal Q3 202324760001599916-23-000224
10-Q2023-07-17fiscal Q2 202325790001599916-23-000158
10-Q2023-04-14fiscal Q1 202326580001599916-23-000082
10-K2023-03-17fiscal FY 202225510001599916-23-000056
10-Q2022-10-14fiscal Q3 202227820001599916-22-000263
10-Q2022-07-15fiscal Q2 202227780001599916-22-000191
10-Q2022-04-19fiscal Q1 202225530001599916-22-000110
10-K2022-03-17fiscal FY 202128590001599916-22-000070
10-Q2021-10-15fiscal Q3 202127830001599916-21-000244
10-Q2021-07-20fiscal Q2 202127730001599916-21-000129
10-Q2021-04-19fiscal Q1 202127520001599916-21-000072
10-K2021-03-16fiscal FY 202028550001599916-21-000037
10-Q2020-10-15fiscal Q3 202026740001599916-20-000132
10-Q2020-07-15fiscal Q2 202025680001599916-20-000082
10-Q2020-04-13fiscal Q1 202025500001599916-20-000050
10-K2020-03-09fiscal FY 201926520001599916-20-000040
10-Q2019-10-09fiscal Q3 201925680001599916-19-000148
10-Q/A2019-07-16fiscal Q2 201925680001599916-19-000120
10-Q2019-07-15fiscal Q2 201925680001599916-19-000118
10-Q2019-04-15fiscal Q1 201925500001599916-19-000057
10-K2019-03-15fiscal FY 201825500001599916-19-000045
10-Q/A2018-10-16fiscal Q3 201825680001599916-18-000180
10-Q2018-10-04fiscal Q3 201825680001599916-18-000170
10-Q2018-07-18fiscal Q2 201827710001599916-18-000133
10-Q2018-04-16fiscal Q1 201815300001599916-18-000078
10-K2018-02-13fiscal FY 201817280001599916-18-000034
10-Q2017-09-29fiscal Q3 201714260001690824-17-000092
10-Q2017-07-03fiscal Q2 201711250001690824-17-000057
10-Q2017-04-07fiscal Q1 201710170001627469-17-000003
10-K2017-02-28fiscal FY 20169180001690824-17-000026
10-Q2016-10-03fiscal Q3 201610230001675426-16-000058

Inspect the source

Entity
PHOTOZOU HOLDINGS, INC. / CIK 0001627469
Captured
2026-09-21T17:21:58.184Z
SEC response SHA-256
d30948a55c5c96436a898619d6919cf754e79bf96ba34bba5b603d0b41893321

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/0001627469.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"])))