Star Holdings: share-based compensation expense
Share-based compensation expense for Star Holdings. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Star Holdings financial histories
What this measure means
Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.
Exact concept: us-gaap:ShareBasedCompensation. 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 2021-01-01 to 2023-12-31. The SEC response was captured on 2026-09-21.
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 |
|---|---|---|---|---|---|
| 2023-01-01 | 2023-12-31 | 1,778,000 | USD | 2026-02-17 | 10-K · 0001953366-26-000003 |
| 2022-01-01 | 2022-12-31 | -11,806,000 | USD | 2025-02-18 | 10-K · 0001558370-25-001097 |
| 2021-01-01 | 2021-12-31 | 23,360,000 | USD | 2024-02-27 | 10-K · 0001953366-24-000005 |
Related financial histories
- Star Holdings: total assets
- Star Holdings: total liabilities
- Star Holdings: stockholders equity
- Star Holdings: cash and cash equivalents
- Star Holdings: net income or loss
- Star Holdings: operating cash flow
- Star Holdings: revenue
- Star Holdings: financing cash flow
- Star Holdings: investing cash flow
- Star Holdings: retained earnings or deficit
- Star Holdings: basic weighted-average shares
- Star Holdings: diluted weighted-average shares
- Star Holdings: basic earnings per share
- Star Holdings: diluted earnings per share
- Star Holdings: income tax expense or benefit
- Star Holdings: net finite-lived intangible assets
Inspect the source
- Entity
- Star Holdings / CIK 0001953366
- Captured
- 2026-09-21T17:36:12.139Z
- SEC response SHA-256
32f7bcf13418ac5948137928131001e73b4ae2baba926e572bcf44aa46e3d3e6
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/0001953366.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"])))