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Harte Hanks, Inc.: current liabilities

Harte Hanks current liabilities: $30.2 million at 2025-12-31, down 14.2% on the year. 16 values since 2010 from SEC filings, each linked to its filing.

All Harte Hanks, Inc. financial histories

At a glance

Harte Hanks reported current liabilities of $30.2 million at 2025-12-31, down 14.2% from $35.1 million a year earlier. From 2010 to 2025 it fell at a compound 13.8% a year, from $281.0 million to $30.2 million. Across the last five reported years it ranged from $30.2 million (2025-12-31) to $48.1 million (2023-12-31). That was 32.8% of total assets ($91.8 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

Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.

Exact concept: us-gaap:LiabilitiesCurrent. 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Current liabilities in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2025-12-3130,164,000USD2026-03-1710-K · 0001628280-26-018894 SEC
-2024-12-3135,137,000USD2026-03-1710-K · 0001628280-26-018894 SEC
-2023-12-3148,111,000USD2025-03-1710-K · 0000045919-25-000008 SEC
-2022-12-3143,566,000USD2024-04-0110-K · 0000045919-24-000014 SEC
-2021-12-3142,442,000USD2023-03-3110-K · 0001437749-23-008877 SEC
-2020-12-3147,192,000USD2022-03-2110-K · 0001437749-22-006846 SEC
-2019-12-3145,531,000USD2021-03-2410-K · 0001437749-21-006937 SEC
-2018-12-3154,162,000USD2020-03-1910-K · 0000045919-20-000003 SEC
-2017-12-3167,248,000USD2019-03-1810-K · 0000045919-19-000013 SEC
-2016-12-31104,667,000USD2018-03-1510-K · 0000045919-18-000022 SEC
-2015-12-3198,132,000USD2017-06-1610-K · 0000045919-17-000006 SEC
-2014-12-31124,269,000USD2016-03-1410-K · 0001628280-16-012651 SEC
-2013-12-31140,843,000USD2015-03-0510-K · 0001104659-15-017174 SEC
-2012-12-31129,905,000USD2014-03-1210-K · 0001104659-14-018577 SEC
-2011-12-31203,650,000USD2013-03-1310-K · 0001104659-13-020070 SEC
-2010-12-31280,963,000USD2012-03-0710-K · 0001193125-12-100444 SEC

Related HARTE HANKS, INC. histories

All 62 Harte Hanks histories

Inspect the source

Entity
HARTE HANKS, INC. / CIK 0000045919
Captured
SEC response SHA-256
c1aa67484ba33b3105378a96caeff5547d3481b5123c89fb5e94e42d3b8b0968

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/0000045919.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"])))