EQT Exeter Real Estate Income Trust, Inc.: total assets
Total assets for EQT Exeter Real Estate Income Trust, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All EQT Exeter Real Estate Income Trust, Inc. financial histories
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 2022-12-31 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 | 541,331,000 | USD | 2026-03-20 | 10-K · 0001193125-26-117572 |
| At date | 2024-12-31 | 503,936,000 | USD | 2026-03-20 | 10-K · 0001193125-26-117572 |
| At date | 2023-12-31 | 405,049 | USD | 2025-03-28 | 10-K · 0001410578-25-000524 |
| At date | 2022-12-31 | 199,935 | USD | 2024-03-29 | 10-K · 0001946997-24-000021 |
Related financial histories
- EQT Exeter Real Estate Income Trust, Inc.: total liabilities
- EQT Exeter Real Estate Income Trust, Inc.: stockholders equity
- EQT Exeter Real Estate Income Trust, Inc.: cash and cash equivalents
- EQT Exeter Real Estate Income Trust, Inc.: net income or loss
- EQT Exeter Real Estate Income Trust, Inc.: operating cash flow
- EQT Exeter Real Estate Income Trust, Inc.: revenue
- EQT Exeter Real Estate Income Trust, Inc.: financing cash flow
- EQT Exeter Real Estate Income Trust, Inc.: investing cash flow
- EQT Exeter Real Estate Income Trust, Inc.: retained earnings or deficit
- EQT Exeter Real Estate Income Trust, Inc.: basic weighted-average shares
- EQT Exeter Real Estate Income Trust, Inc.: diluted weighted-average shares
- EQT Exeter Real Estate Income Trust, Inc.: basic earnings per share
- EQT Exeter Real Estate Income Trust, Inc.: diluted earnings per share
- EQT Exeter Real Estate Income Trust, Inc.: share-based compensation expense
- EQT Exeter Real Estate Income Trust, Inc.: common-stock repurchase payments
- EQT Exeter Real Estate Income Trust, Inc.: operating expenses
Inspect the source
- Entity
- EQT Exeter Real Estate Income Trust, Inc. / CIK 0001946997
- Captured
- 2026-09-21T17:35:53.561Z
- SEC response SHA-256
031eaa21bd444bffa218d0f7a0542dd27be67833d61a17a082a70028d8c1ba93
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/0001946997.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"])))