RANGER GOLD CORP.: selling, general and administrative expense
Selling, general and administrative expense for RANGER GOLD CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All RANGER GOLD CORP. financial histories
What this measure means
Selling and general administrative costs reported under this concept. It is an expense category, not a substitute for total operating expenses.
Exact concept: us-gaap:SellingGeneralAndAdministrativeExpense. 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 2022-04-01 to 2026-03-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-04-01 | 2026-03-31 | 0 | USD | 2026-07-14 | 10-K · 0001477932-26-004299 |
| 2024-04-01 | 2025-03-31 | 8 | USD | 2026-07-14 | 10-K · 0001477932-26-004299 |
| 2023-04-01 | 2024-03-31 | 0 | USD | 2025-07-14 | 10-K · 0001477932-25-005018 |
| 2022-04-01 | 2023-03-31 | 0 | USD | 2024-07-30 | 10-K · 0001477932-24-004441 |
Related financial histories
- RANGER GOLD CORP.: total assets
- RANGER GOLD CORP.: total liabilities
- RANGER GOLD CORP.: stockholders equity
- RANGER GOLD CORP.: cash and cash equivalents
- RANGER GOLD CORP.: net income or loss
- RANGER GOLD CORP.: operating cash flow
- RANGER GOLD CORP.: revenue
- RANGER GOLD CORP.: financing cash flow
- RANGER GOLD CORP.: investing cash flow
- RANGER GOLD CORP.: retained earnings or deficit
- RANGER GOLD CORP.: basic weighted-average shares
- RANGER GOLD CORP.: diluted weighted-average shares
- RANGER GOLD CORP.: operating income or loss
- RANGER GOLD CORP.: current assets
- RANGER GOLD CORP.: interest expense
- RANGER GOLD CORP.: current liabilities
- RANGER GOLD CORP.: current accounts payable
- RANGER GOLD CORP.: operating expenses
Inspect the source
- Entity
- RANGER GOLD CORP. / CIK 0001434740
- Captured
- 2026-09-20T09:03:01.511Z
- SEC response SHA-256
60f1a40ac3a7f7c68ca579bfc911355acf92805cbc84004abc2529ee83889d51
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.
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- 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/0001434740.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"])))