ColorStars Group: comprehensive income or loss
Comprehensive income or loss for ColorStars Group. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All ColorStars Group financial histories
What this measure means
Net income plus other comprehensive income after tax. It includes unrealized items that net income excludes and is not a cash measure.
Exact concept: us-gaap:ComprehensiveIncomeNetOfTax. 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 2011-01-01 to 2018-12-31. The SEC response was captured on 2026-09-22.
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 |
|---|---|---|---|---|---|
| 2018-01-01 | 2018-12-31 | -327,626 | USD | 2019-04-12 | 10-K · 0001493152-19-005210 SEC |
| 2017-01-01 | 2017-12-31 | -299,892 | USD | 2019-04-12 | 10-K · 0001493152-19-005210 SEC |
| 2016-01-01 | 2016-12-31 | -133,893 | USD | 2018-11-05 | 10-K · 0001493152-18-015185 SEC |
| 2015-01-01 | 2015-12-31 | -1,054,090 | USD | 2018-09-06 | 10-K · 0001493152-18-012920 SEC |
| 2014-01-01 | 2014-12-31 | -426,052 | USD | 2018-04-13 | 10-K/A · 0001493152-18-005117 SEC |
| 2013-01-01 | 2013-12-31 | -580,827 | USD | 2015-04-15 | 10-K · 0001418780-15-000006 SEC |
| 2012-01-01 | 2012-12-31 | -1,124,769 | USD | 2014-04-21 | 10-K/A · 0001418780-14-000027 SEC |
| 2011-01-01 | 2011-12-31 | -418,850 | USD | 2013-04-01 | 10-K · 0001286345-13-000050 SEC |
Related ColorStars Group histories
Inspect the source
- Entity
- ColorStars Group / CIK 0001418780
- Captured
- SEC response SHA-256
8d7882982e67df818bf0e2a546c1892dd55d40f3ef37a0c02849d4ecb3a721b1
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/0001418780.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"])))