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NORTECH SYSTEMS INCORPORATED: income tax expense or benefit

Income tax expense or benefit for NORTECH SYSTEMS INCORPORATED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All NORTECH SYSTEMS INCORPORATED 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 2010-01-01 to 2025-12-31. 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
2025-01-012025-12-31263,000USD2026-04-1510-K/A · 0001493152-26-016795
2024-01-012024-12-31356,000USD2026-04-1510-K/A · 0001493152-26-016795
2023-01-012023-12-31-1,408,000USD2025-03-3110-K · 0001641172-25-001473
2022-01-012022-12-311,467,000USD2024-03-2010-K · 0001437749-24-008690
2021-01-012021-12-31859,000USD2023-03-1710-K · 0001437749-23-007041
2020-01-012020-12-31310,000USD2022-03-1710-K · 0001437749-22-006550
2019-01-012019-12-31409,000USD2021-03-2310-K · 0001437749-21-006916
2018-01-012018-12-31326,000USD2020-03-1910-K · 0001437749-20-005686
2017-01-012017-12-31375,000USD2019-04-0110-K · 0001104659-19-018979
2016-01-012016-12-3135,000USD2018-03-2710-K · 0001104659-18-020483
2015-01-012015-12-31-316,000USD2017-03-0810-K · 0001104659-17-015189
2014-01-012014-12-3181,000USD2016-03-2210-K · 0001047469-16-011421
2013-01-012013-12-31300,000USD2015-03-1110-K · 0001047469-15-001985
2012-01-012012-12-31298,000USD2014-03-0710-K · 0001047469-14-001953
2011-01-012011-12-31561,000USD2013-03-0810-K · 0001047469-13-002420
2010-01-012010-12-31375,000USD2012-03-0910-K · 0001047469-12-002345

Related financial histories

Inspect the source

Entity
NORTECH SYSTEMS INCORPORATED / CIK 0000722313
Captured
2026-09-19T14:59:55.146Z
SEC response SHA-256
82372088a9ad5ad85f5b6447d5a8b9fd2d3b7c09289a36b589756b4998faa5a6

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/0000722313.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"])))