TPG Inc.: total liabilities
Total liabilities for TPG Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All TPG Inc. financial histories
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 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | 9,356,560,000 | USD | 2026-02-17 | 10-K · 0001880661-26-000011 |
| At date | 2024-12-31 | 6,943,120,000 | USD | 2026-02-17 | 10-K · 0001880661-26-000011 |
| At date | 2023-12-31 | 6,008,538,000 | USD | 2025-02-18 | 10-K · 0001880661-25-000014 |
| At date | 2022-12-31 | 4,202,232,000 | USD | 2024-02-23 | 10-K · 0001880661-24-000013 |
| At date | 2021-12-31 | 1,700,572,000 | USD | 2023-02-24 | 10-K · 0001880661-23-000017 |
Related financial histories
- TPG Inc.: total assets
- TPG Inc.: cash and cash equivalents
- TPG Inc.: net income or loss
- TPG Inc.: operating cash flow
- TPG Inc.: revenue
- TPG Inc.: contract revenue excluding tax
- TPG Inc.: financing cash flow
- TPG Inc.: investing cash flow
- TPG Inc.: retained earnings or deficit
- TPG Inc.: basic weighted-average shares
- TPG Inc.: diluted weighted-average shares
- TPG Inc.: basic earnings per share
- TPG Inc.: diluted earnings per share
- TPG Inc.: income tax expense or benefit
- TPG Inc.: net property, plant and equipment
- TPG Inc.: goodwill carrying amount
- TPG Inc.: net finite-lived intangible assets
- TPG Inc.: operating expenses
Inspect the source
- Entity
- TPG Inc. / CIK 0001880661
- Captured
- 2026-09-21T17:32:51.199Z
- SEC response SHA-256
39db1ec24772573ef06882554e44eab4e0e86734ca5fba72bb48a63bbb6b3d94
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
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001880661.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"])))