GEE Group Inc.: goodwill carrying amount
GEE Group goodwill carrying amount: $24.8 million at 2025-09-30, down 46.2% on the year. 16 values since 2010 from SEC filings, each linked to its filing.
All GEE Group Inc. financial histories
At a glance
GEE Group reported goodwill carrying amount of $24.8 million at 2025-09-30, down 46.2% from $46.0 million a year earlier. From 2010 to 2025 it grew at a compound 39.3% a year, from $172.0 thousand to $24.8 million. Across the last five reported years it ranged from $24.8 million (2025-09-30) to $63.4 million (2021-09-30). That was 41.3% of total assets ($60.0 million) at the same date.
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Recognized goodwill remaining after accumulated impairment. It arises from business combinations and does not measure the current value of the company’s brand.
Exact concept: us-gaap:Goodwill. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2010-09-30 to 2025-09-30. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2025-09-30 | 24,759,000 | USD | 2025-12-17 | 10-K · 0001477932-25-009011 SEC |
| - | 2024-09-30 | 46,008,000 | USD | 2025-12-17 | 10-K · 0001477932-25-009011 SEC |
| - | 2023-09-30 | 61,293,000 | USD | 2024-12-19 | 10-K · 0001477932-24-008212 SEC |
| - | 2022-09-30 | 61,293,000 | USD | 2023-12-18 | 10-K · 0001477932-23-009214 SEC |
| - | 2021-09-30 | 63,443,000 | USD | 2022-12-20 | 10-K · 0001477932-22-009439 SEC |
| - | 2020-09-30 | 63,443,000 | USD | 2021-12-23 | 10-K · 0001477932-21-009438 SEC |
| - | 2019-09-30 | 72,293,000 | USD | 2021-12-23 | 10-K · 0001477932-21-009438 SEC |
| - | 2018-09-30 | 76,593,000 | USD | 2019-12-23 | 10-K · 0001477932-19-007284 SEC |
| - | 2017-09-30 | 76,593,000 | USD | 2018-12-27 | 10-K · 0001477932-18-006156 SEC |
| - | 2016-09-30 | 18,590,000 | USD | 2018-12-27 | 10-K · 0001477932-18-006156 SEC |
| - | 2015-09-30 | 8,220,000 | USD | 2017-12-28 | 10-K · 0001477932-17-006297 SEC |
| - | 2014-09-30 | 1,106,000 | USD | 2016-12-22 | 10-K · 0001477932-16-014233 SEC |
| - | 2013-09-30 | 1,106,000 | USD | 2014-12-22 | 10-K · 0001193125-14-450897 SEC |
| - | 2012-09-30 | 1,106,000 | USD | 2014-01-13 | 10-K · 0001140361-14-001952 SEC |
| - | 2011-09-30 | 1,280,000 | USD | 2013-03-29 | 10-K · 0001140361-13-014588 SEC |
| - | 2010-09-30 | 172,000 | USD | 2011-12-29 | 10-K · 0001140361-11-059150 SEC |
Related GEE GROUP INC. 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.
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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"])))