Seaboard Corporation: total liabilities
Seaboard total liabilities: $3.01 billion at 2025-12-31, up 3.3% on the year. 5 values since 2021, each linked to its SEC filing. Download the selected JSON.
All Seaboard Corporation financial histories
At a glance
Seaboard reported total liabilities of $3.01 billion at 2025-12-31, up 3.3% from $2.92 billion a year earlier. From 2021 to 2025 it fell at a compound 0.5% a year, from $3.07 billion to $3.01 billion. Across the last five reported years it ranged from $2.89 billion (2022-12-31) to $3.07 billion (2021-12-31). That was 36.5% of total assets ($8.25 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 obligations at the reporting date. The definition and scope differ from interest-bearing debt.
Exact concept: us-gaap:Liabilities. 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 2021-12-31 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 | 3,011,000,000 | USD | 2026-02-12 | 10-K · 0000088121-26-000012 SEC |
| - | 2024-12-31 | 2,916,000,000 | USD | 2026-02-12 | 10-K · 0000088121-26-000012 SEC |
| - | 2023-12-31 | 2,932,000,000 | USD | 2025-02-13 | 10-K · 0000088121-25-000017 SEC |
| - | 2022-12-31 | 2,888,000,000 | USD | 2024-02-13 | 10-K · 0000088121-24-000025 SEC |
| - | 2021-12-31 | 3,069,000,000 | USD | 2023-02-14 | 10-K · 0000088121-23-000020 SEC |
Related Seaboard Corporation histories
Inspect the source
- Entity
- Seaboard Corporation / CIK 0000088121
- Captured
- SEC response SHA-256
3e919f3318f5a22226e6c0170600f087e0307628f52614cc6a8f53a1e5e31d0f
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
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- 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/0000088121.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"])))