Skip to content

LIQUIDITY SERVICES, INC: income tax expense or benefit

Income tax expense or benefit for LIQUIDITY SERVICES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All LIQUIDITY SERVICES, INC financial histories

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 2008-10-01 to 2025-09-30. The SEC response was captured on 2026-09-20.

Selected filing history

Income tax expense or benefit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-10-012025-09-3011,348,000USD2025-11-2010-K · 0001193125-25-289159
2023-10-012024-09-307,269,000USD2025-11-2010-K · 0001193125-25-289159
2022-10-012023-09-308,039,000USD2025-11-2010-K · 0001193125-25-289159
2021-10-012022-09-307,329,000USD2024-12-1210-K · 0000950170-24-135700
2020-10-012021-09-30-23,370,000USD2023-12-0710-K · 0000950170-23-068822
2019-10-012020-09-30801,000USD2022-12-0810-K · 0001235468-22-000142
2018-10-012019-09-301,200,000USD2021-12-0910-K · 0001235468-21-000173
2017-10-012018-09-30-9,328,000USD2020-12-0810-K · 0001235468-20-000206
2016-10-012017-09-30-451,000USD2019-12-1010-K · 0001235468-19-000042
2015-10-012016-09-3027,025,000USD2018-12-0610-K · 0001235468-18-000007
2014-10-012015-09-30-39,571,000USD2017-12-0710-K · 0001628280-17-012164
2013-10-012014-09-3019,657,000USD2016-11-2110-K · 0001047469-16-016885
2012-10-012013-09-3027,551,000USD2015-11-2310-K · 0001047469-15-008919
2011-10-012012-09-3031,652,000USD2014-11-2110-K · 0001047469-14-009487
2010-10-012011-09-3015,459,000USD2013-11-2110-K · 0001047469-13-010744
2009-10-012010-09-3012,194,000USD2012-11-2910-K · 0001047469-12-010864
2008-10-012009-09-307,788,000USD2011-12-0910-K · 0001047469-11-010022

Related financial histories

Inspect the source

Entity
LIQUIDITY SERVICES, INC / CIK 0001235468
Captured
2026-09-20T07:46:41.262Z
SEC response SHA-256
fa25ef3c6d782248749c4827aba53ed3f5de80145dc952d3e27d7104b751a801

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.

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

with urlopen("https://canlicapital.com/company-data/0001235468.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"])))