MGT Capital Investments, Inc.: income tax expense or benefit
MGT Capital Investments income tax expense or benefit: $0 for the year ending 2013-12-31, down 100.0% on the year. 4 values since 2010 from SEC filings.
All MGT Capital Investments, Inc. financial histories
At a glance
MGT Capital Investments reported income tax expense or benefit of $0 for the year ending 2013-12-31, down 100.0% from $14.0 thousand a year earlier. Across the last four reported years it ranged from -$336.0 thousand (2010-12-31) to $14.0 thousand (2012-12-31).
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Current and deferred income tax expense or benefit for continuing operations. This accounting expense differs from cash taxes paid.
Exact concept: us-gaap:IncomeTaxExpenseBenefit. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2010-01-01 to 2013-12-31. The SEC response was captured on 2026-09-20.
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 |
|---|---|---|---|---|---|
| 2013-01-01 | 2013-12-31 | 0 | USD | 2014-03-28 | 10-K · 0001144204-14-018803 SEC |
| 2012-01-01 | 2012-12-31 | 14,000 | USD | 2014-03-28 | 10-K · 0001144204-14-018803 SEC |
| 2011-01-01 | 2011-12-31 | -198,000 | USD | 2013-05-31 | 10-K/A · 0001144204-13-032650 SEC |
| 2010-01-01 | 2010-12-31 | -336,000 | USD | 2012-03-01 | 10-K · 0001144204-12-012400 SEC |
Related MGT CAPITAL INVESTMENTS, INC. histories
Inspect the source
- Entity
- MGT CAPITAL INVESTMENTS, INC. / CIK 0001001601
- Captured
- SEC response SHA-256
3f6cf72eb655ed9fdcf92d6b36430ec696789dfe09b0b12d87d069920a1ba867
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/0001001601.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"])))