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Redwood Trust Inc: goodwill carrying amount

Redwood Trust goodwill carrying amount: $23.4 million at 2025-12-31, unchanged on the year. 8 values since 2018 from SEC filings, each linked to its filing.

All Redwood Trust Inc financial histories

At a glance

Redwood Trust reported goodwill carrying amount of $23.4 million at 2025-12-31, unchanged from a year earlier. Across the last five reported years it ranged from $0 (2021-12-31) to $23.4 million (2022-12-31). That was 0.1% of total assets ($23.7 billion) 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 2018-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Goodwill carrying amount in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2025-12-3123,373,000USD2026-02-2710-K · 0000930236-26-000007 SEC
-2024-12-3123,373,000USD2026-02-2710-K · 0000930236-26-000007 SEC
-2023-12-3123,373,000USD2025-03-0310-K · 0000930236-25-000007 SEC
-2022-12-3123,373,000USD2024-02-2910-K · 0000930236-24-000009 SEC
-2021-12-310USD2024-02-2910-K · 0000930236-24-000009 SEC
-2020-12-310USD2023-03-0110-K · 0000930236-23-000008 SEC
-2019-12-3188,675,000USD2020-03-0210-K · 0000930236-20-000007 SEC
-2018-12-310USD2020-03-0210-K · 0000930236-20-000007 SEC

Related REDWOOD TRUST INC histories

All 45 Redwood Trust histories

Inspect the source

Entity
REDWOOD TRUST INC / CIK 0000930236
Captured
SEC response SHA-256
4a52a3a4682efda9135cff5d3c85dde81d0ecebd6e75176e23d6b383f121d448

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/0000930236.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"])))