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R F INDUSTRIES LTD: goodwill carrying amount

Goodwill carrying amount for R F INDUSTRIES LTD. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All R F INDUSTRIES LTD financial histories

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 2011-10-31 to 2025-10-31. The SEC response was captured on 2026-09-19.

Selected filing history

Goodwill carrying amount in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-10-318,085,000USD2026-01-1410-K · 0001437749-26-001268
At date2024-10-318,085,000USD2026-01-1410-K · 0001437749-26-001268
At date2023-10-318,085,000USD2025-01-2110-K · 0001437749-25-001497
At date2022-10-318,085,000USD2024-01-2910-K · 0001437749-24-002469
At date2021-10-312,467,000USD2023-01-2410-K · 0001437749-23-001684
At date2020-10-312,467,000USD2022-01-1410-K · 0001437749-22-000928
At date2019-10-311,340,000USD2020-12-2910-K · 0001437749-20-026051
At date2018-10-311,340,000USD2019-12-2010-K · 0001104659-19-074978
At date2017-10-311,340,000USD2018-12-2010-K · 0001144204-18-065721
At date2016-10-313,219,000USD2018-01-2410-K · 0001144204-18-003386
At date2015-10-315,913,000USD2017-01-2710-K · 0001144204-17-004183
At date2014-10-313,076,000USD2016-01-2810-K · 0001144204-16-077407
At date2013-10-313,076,000USD2015-01-2910-K · 0001144204-15-004460
At date2012-10-313,076,000USD2014-01-1710-K · 0001144204-14-002695
At date2011-10-313,076,023USD2013-01-2210-K · 0001144204-13-003372

Related financial histories

Inspect the source

Entity
R F INDUSTRIES LTD / CIK 0000740664
Captured
2026-09-19T15:01:16.156Z
SEC response SHA-256
7407f7fb074160295aa1ec075af3c55d3d36b1a93d1c3bc0b90d24a59bfd6a2a

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/0000740664.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"])))