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SHIFTPIXY, INC.: filings

Every SHIFTPIXY, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 34 filings, each linked to its SEC index.

Filing record ends 2024-07-02

The latest filing in this captured record is a 10-Q filed 2024-07-02. No later filing is in the SEC companyfacts record captured on 2026-09-22. SHIFTPIXY, INC. may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

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-Q2024-07-02fiscal Q3 202434970001477932-24-004048
10-Q2024-04-19fiscal Q2 202433930001477932-24-002260
10-Q2024-01-22fiscal Q1 202430640001477932-24-000315
10-K2023-12-14fiscal FY 202338780001477932-23-009152
10-Q2023-07-17fiscal Q3 202333900001477932-23-005362
10-Q2023-04-14fiscal Q2 2023361070001628280-23-011665
10-K/A2023-02-09fiscal FY 202244880001628280-23-003011
10-Q2023-01-23fiscal Q1 202336750001628280-23-001400
10-K2022-12-13fiscal FY 202244880001628280-22-031761
10-Q2022-07-15fiscal Q3 2022371060001628280-22-018997
10-Q2022-04-14fiscal Q2 2022361010001628280-22-009218
10-Q/A2022-01-18fiscal Q1 202234720001628280-22-000994
10-Q2022-01-14fiscal Q1 202234720001628280-22-000969
10-K2021-12-03fiscal FY 202139780001104659-21-146029
10-Q/A2021-12-02fiscal Q3 2021351020001104659-21-145577
10-Q2021-07-15fiscal Q3 202130840001104659-21-092623
10-Q2021-04-14fiscal Q2 202130840001104659-21-050214
10-Q2021-01-14fiscal Q1 202130610001104659-21-004239
10-K2020-11-30fiscal FY 202030620001104659-20-130495
10-Q2020-07-15fiscal Q3 202029820001104659-20-083786
10-Q2020-05-12fiscal Q2 202029820001104659-20-060265
10-Q2020-01-21fiscal Q1 202028610001477932-20-000312
10-K2019-12-13fiscal FY 201932650001477932-19-007084
10-Q2019-07-22fiscal Q3 201930890001477932-19-004237
10-Q/A2019-07-22fiscal Q2 201926750001477932-19-004236
10-Q2019-04-15fiscal Q2 201926700001477932-19-001724
10-Q2019-01-11fiscal Q1 201925490001477932-19-000079
10-K2018-11-29fiscal FY 201828530001477932-18-005797
10-K/A2018-09-28fiscal FY 201726540001477932-18-004677
10-Q2018-07-16fiscal Q3 201823400001477932-18-003513
10-Q2018-04-16fiscal Q2 201824410001477932-18-001783
10-Q2018-01-22fiscal Q1 201828560001477932-18-000416
10-K2017-12-14fiscal FY 201726530001477932-17-006066
10-Q2017-07-17fiscal Q3 201724660001477932-17-003381

Inspect the source

Entity
SHIFTPIXY, INC. / CIK 0001675634
Captured
SEC response SHA-256
cce49755e17a286f03dc71a105dad35e8797a778cc987a970fa140003d94c7de

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/0001675634.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"])))