DYNEX CAPITAL, INC.: stockholders equity
Stockholders equity for DYNEX CAPITAL, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All DYNEX CAPITAL, INC. financial histories
What this measure means
The reported residual interest after liabilities. It is an accounting amount, not market capitalization.
Exact concept: us-gaap:StockholdersEquity. 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 2012-12-31. The SEC response was captured on 2026-09-19.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2012-12-31 | 616,710,000 | USD | 2013-03-08 | 10-K · 0000826675-13-000006 |
| At date | 2011-12-31 | 371,349,000 | USD | 2013-03-08 | 10-K · 0000826675-13-000006 |
| At date | 2010-12-31 | 292,357,000 | USD | 2012-03-02 | 10-K · 0000826675-12-000011 |
Related financial histories
- DYNEX CAPITAL, INC.: total assets
- DYNEX CAPITAL, INC.: total liabilities
- DYNEX CAPITAL, INC.: cash and cash equivalents
- DYNEX CAPITAL, INC.: net income or loss
- DYNEX CAPITAL, INC.: operating cash flow
- DYNEX CAPITAL, INC.: financing cash flow
- DYNEX CAPITAL, INC.: investing cash flow
- DYNEX CAPITAL, INC.: retained earnings or deficit
- DYNEX CAPITAL, INC.: basic weighted-average shares
- DYNEX CAPITAL, INC.: diluted weighted-average shares
- DYNEX CAPITAL, INC.: basic earnings per share
- DYNEX CAPITAL, INC.: diluted earnings per share
- DYNEX CAPITAL, INC.: share-based compensation expense
- DYNEX CAPITAL, INC.: interest expense
- DYNEX CAPITAL, INC.: common-stock repurchase payments
- DYNEX CAPITAL, INC.: operating expenses
Inspect the source
- Entity
- DYNEX CAPITAL, INC. / CIK 0000826675
- Captured
- 2026-09-19T15:07:55.277Z
- SEC response SHA-256
af7b7bd49b38321b7b276ffcd068ffd75fe66c62402918f487b20e3d1f5de098
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/0000826675.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"])))