Autoliv, Inc.: total assets
Autoliv total assets: $8.64 billion at 2025-12-31, up 10.8% on the year. 17 values since 2009 from SEC filings, each linked to its filing. In original units.
All Autoliv, Inc. financial histories
At a glance
Autoliv reported total assets of $8.64 billion at 2025-12-31, up 10.8% from $7.80 billion a year earlier. From 2009 to 2025 it grew at a compound 3.2% a year, from $5.19 billion to $8.64 billion. Across the last five reported years it ranged from $7.54 billion (2021-12-31) to $8.64 billion (2025-12-31).
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Resources recognized on the balance sheet. Book assets are not the market value of the business.
Exact concept: us-gaap:Assets. 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 2009-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2025-12-31 | 8,644,000,000 | USD | 2026-02-19 | 10-K · 0001193125-26-058162 SEC |
| - | 2024-12-31 | 7,804,000,000 | USD | 2026-02-19 | 10-K · 0001193125-26-058162 SEC |
| - | 2023-12-31 | 8,332,000,000 | USD | 2025-02-20 | 10-K · 0000950170-25-023852 SEC |
| - | 2022-12-31 | 7,717,000,000 | USD | 2024-02-20 | 10-K · 0000950170-24-016787 SEC |
| - | 2021-12-31 | 7,537,000,000 | USD | 2023-02-16 | 10-K · 0000950170-23-002977 SEC |
| - | 2020-12-31 | 8,157,000,000 | USD | 2022-02-22 | 10-K · 0000950170-22-001528 SEC |
| - | 2019-12-31 | 6,771,200,000 | USD | 2021-02-19 | 10-K · 0001564590-21-006803 SEC |
| - | 2018-12-31 | 6,721,600,000 | USD | 2020-02-21 | 10-K · 0001564590-20-005667 SEC |
| - | 2017-12-31 | 8,549,900,000 | USD | 2019-02-21 | 10-K · 0001564590-19-003571 SEC |
| - | 2016-12-31 | 8,234,400,000 | USD | 2018-02-22 | 10-K · 0001564590-18-002787 SEC |
| - | 2015-12-31 | 7,525,500,000 | USD | 2017-02-23 | 10-K · 0001193125-17-052888 SEC |
| - | 2014-12-31 | 7,442,900,000 | USD | 2016-02-19 | 10-K · 0001193125-16-469305 SEC |
| - | 2013-12-31 | 6,983,000,000 | USD | 2015-02-19 | 10-K · 0001193125-15-053479 SEC |
| - | 2012-12-31 | 6,570,300,000 | USD | 2014-02-21 | 10-K · 0001193125-14-061778 SEC |
| - | 2011-12-31 | 6,117,300,000 | USD | 2013-02-22 | 10-K · 0001193125-13-070928 SEC |
| - | 2010-12-31 | 5,664,500,000 | USD | 2012-02-23 | 10-K · 0001193125-12-074898 SEC |
| - | 2009-12-31 | 5,185,600,000 | USD | 2011-02-23 | 10-K · 0001193125-11-043338 SEC |
Related AUTOLIV, INC. histories
Inspect the source
- Entity
- AUTOLIV, INC. / CIK 0001034670
- Captured
- SEC response SHA-256
43e8f361df3110c2a17585ead4bc9b9557dbe48753f20c57cde10663da4bd0e7
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.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
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/0001034670.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"])))