Magna International Inc.: current liabilities
Magna International current liabilities: $11.0 billion at 2025-12-31, down 9.2% on the year. 16 values since 2010 from SEC filings, each linked to its filing.
All Magna International Inc. financial histories
At a glance
Magna International reported current liabilities of $11.0 billion at 2025-12-31, down 9.2% from $12.1 billion a year earlier. From 2010 to 2025 it grew at a compound 5.4% a year, from $4.97 billion to $11.0 billion. Across the last five reported years it ranged from $10.4 billion (2021-12-31) to $13.2 billion (2023-12-31). That was 35.0% of total assets ($31.4 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
Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.
Exact concept: us-gaap:LiabilitiesCurrent. 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2025-12-31 | 10,989,000,000 | USD | 2026-03-27 | 40-F · 0001193125-26-128771 SEC |
| - | 2024-12-31 | 12,097,000,000 | USD | 2026-03-27 | 40-F · 0001193125-26-128771 SEC |
| - | 2023-12-31 | 13,234,000,000 | USD | 2025-03-28 | 40-F · 0001193125-25-066935 SEC |
| - | 2022-12-31 | 10,998,000,000 | USD | 2024-03-28 | 40-F · 0001193125-24-080656 SEC |
| - | 2021-12-31 | 10,401,000,000 | USD | 2023-03-31 | 40-F · 0001193125-23-087951 SEC |
| - | 2020-12-31 | 9,743,000,000 | USD | 2022-03-28 | 40-F · 0001193125-22-085474 SEC |
| - | 2019-12-31 | 8,529,000,000 | USD | 2021-03-29 | 40-F · 0001193125-21-097041 SEC |
| - | 2018-12-31 | 10,304,000,000 | USD | 2020-03-27 | 40-F · 0001193125-20-088979 SEC |
| - | 2017-12-31 | 9,243,000,000 | USD | 2019-03-29 | 40-F · 0001193125-19-092912 SEC |
| - | 2016-12-31 | 8,695,000,000 | USD | 2018-03-29 | 40-F · 0001193125-18-099856 SEC |
| - | 2015-12-31 | 7,276,000,000 | USD | 2017-03-30 | 40-F · 0001193125-17-102145 SEC |
| - | 2014-12-31 | 7,626,000,000 | USD | 2016-03-29 | 40-F · 0001193125-16-521370 SEC |
| - | 2013-12-31 | 7,309,000,000 | USD | 2015-03-27 | 40-F · 0001193125-15-109609 SEC |
| - | 2012-12-31 | 6,684,000,000 | USD | 2014-03-28 | 40-F · 0001193125-14-121596 SEC |
| - | 2011-12-31 | 5,724,000,000 | USD | 2013-03-28 | 40-F · 0001193125-13-131919 SEC |
| - | 2010-12-31 | 4,968,000,000 | USD | 2012-03-30 | 40-F · 0001193125-12-143610 SEC |
Related Magna International Inc. histories
Inspect the source
- Entity
- Magna International Inc. / CIK 0000749098
- Captured
- SEC response SHA-256
7f1da2387c262340d89ebf0199d580d3dc9a7a8a9942ef407971a436c9ff01f3
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/0000749098.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"])))