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Allstate Corp: net finite-lived intangible assets

Allstate net finite-lived intangible assets: $432.0 million at 2025-12-31, down 29.9% on the year. 4 values since 2022, each linked to its SEC filing.

All Allstate Corp financial histories

At a glance

Allstate reported net finite-lived intangible assets of $432.0 million at 2025-12-31, down 29.9% from $616.0 million a year earlier. From 2022 to 2025 it fell at a compound 24.5% a year, from $1.00 billion to $432.0 million. Across the last four reported years it ranged from $432.0 million (2025-12-31) to $1.00 billion (2022-12-31). That was 0.4% of total assets ($119.8 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

Finite-lived intangible assets after amortization. This excludes goodwill and should not be combined with indefinite-lived intangible assets without checking scope.

Exact concept: us-gaap:FiniteLivedIntangibleAssetsNet. 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 2022-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Net finite-lived intangible assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2025-12-31432,000,000USD2026-02-2010-K · 0000899051-26-000031 SEC
-2024-12-31616,000,000USD2025-02-2410-K · 0000899051-25-000015 SEC
-2023-12-31827,000,000USD2024-02-2110-K · 0000899051-24-000013 SEC
-2022-12-311,005,000,000USD2023-02-1610-K · 0000899051-23-000020 SEC

Related ALLSTATE CORP histories

All 40 Allstate histories

Inspect the source

Entity
ALLSTATE CORP / CIK 0000899051
Captured
SEC response SHA-256
8590136d2df586eb759817c7c3793416e24065d5bd8b8886641f2d81296551b0

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/0000899051.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"])))