SKY QUARRY INC.: share-based compensation expense
Share-based compensation expense for SKY QUARRY INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All SKY QUARRY INC. 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 2023-01-01 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 |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 659,134 | USD | 2026-03-31 | 10-K · 0001096906-26-000438 |
| 2024-01-01 | 2024-12-31 | 632,205 | USD | 2026-03-31 | 10-K · 0001096906-26-000438 |
| 2023-01-01 | 2023-12-31 | 634,783 | USD | 2025-08-25 | 10-K/A · 0001096906-25-001422 |
Related financial histories
- SKY QUARRY INC.: total assets
- SKY QUARRY INC.: total liabilities
- SKY QUARRY INC.: stockholders equity
- SKY QUARRY INC.: net income or loss
- SKY QUARRY INC.: operating cash flow
- SKY QUARRY INC.: capital expenditure payments
- SKY QUARRY INC.: financing cash flow
- SKY QUARRY INC.: investing cash flow
- SKY QUARRY INC.: retained earnings or deficit
- SKY QUARRY INC.: income tax expense or benefit
- SKY QUARRY INC.: net property, plant and equipment
- SKY QUARRY INC.: operating income or loss
- SKY QUARRY INC.: current assets
- SKY QUARRY INC.: current liabilities
- SKY QUARRY INC.: net current accounts receivable
- SKY QUARRY INC.: operating expenses
- SKY QUARRY INC.: net inventory
- SKY QUARRY INC.: gross profit
Inspect the source
- Entity
- SKY QUARRY INC. / CIK 0001812447
- Captured
- 2026-09-21T17:28:23.535Z
- SEC response SHA-256
c1a902e6608dd28ecedfa3b1d98032895182371478b3e908c55e0a8ed302af83
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/0001812447.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"])))