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GEE Group Inc.: income tax expense or benefit

GEE Group income tax expense or benefit: $9.59 million for the year ending 2025-09-30, up 466.1% on the year. 13 values since 2012. In original units.

All GEE Group Inc. financial histories

At a glance

GEE Group reported income tax expense or benefit of $9.59 million for the year ending 2025-09-30, up 466.1% from -$2.62 million a year earlier. Across the last five reported years it ranged from -$2.62 million (2024-09-30) to $9.59 million (2025-09-30). That was 9.9% of revenue ($96.5 million) for the same year.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Current and deferred income tax expense or benefit for continuing operations. This accounting expense differs from cash taxes paid.

Exact concept: us-gaap:IncomeTaxExpenseBenefit. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2011-10-01 to 2025-09-30. The SEC response was captured on 2026-09-19.

Selected filing history

Income tax expense or benefit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-10-012025-09-309,588,000USD2025-12-1710-K · 0001477932-25-009011 SEC
2023-10-012024-09-30-2,619,000USD2025-12-1710-K · 0001477932-25-009011 SEC
2022-10-012023-09-307,249,000USD2024-12-1910-K · 0001477932-24-008212 SEC
2021-10-012022-09-30588,000USD2023-12-1810-K · 0001477932-23-009214 SEC
2020-10-012021-09-3058,000USD2022-12-2010-K · 0001477932-22-009439 SEC
2019-10-012020-09-30597,000USD2021-12-2310-K · 0001477932-21-009438 SEC
2018-10-012019-09-30370,000USD2020-12-2910-K · 0001477932-20-007544 SEC
2017-10-012018-09-30859,000USD2019-12-2310-K · 0001477932-19-007284 SEC
2016-10-012017-09-30-6,018,000USD2018-12-2710-K · 0001477932-18-006156 SEC
2015-10-012016-09-303,000USD2017-12-2810-K · 0001477932-17-006297 SEC
2013-10-012014-09-3024,000USD2015-12-2910-K · 0001477932-15-007812 SEC
2012-10-012013-09-308,000USD2014-12-2210-K · 0001193125-14-450897 SEC
2011-10-012012-09-300USD2014-01-1310-K · 0001140361-14-001952 SEC

Related GEE GROUP INC. histories

All 56 GEE Group histories

Inspect the source

Entity
GEE GROUP INC. / CIK 0000040570
Captured
SEC response SHA-256
629db87ff960c238b493f361961152632a77901b399bc16e32e891bf68a9b95a

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000040570.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"])))