CHARGING ROBOTICS INC.: basic earnings per share
Basic earnings per share for CHARGING ROBOTICS INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All CHARGING ROBOTICS INC. financial histories
What this measure means
Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.
Exact concept: us-gaap:EarningsPerShareBasic. 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 2022-01-01 to 2024-12-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-01-01 | 2024-12-31 | -0.09 | USD/shares | 2025-04-15 | 10-K · 0001213900-25-032068 |
| 2023-01-01 | 2023-12-31 | -0.1 | USD/shares | 2025-04-15 | 10-K · 0001213900-25-032068 |
| 2022-01-01 | 2022-12-31 | -30.54 | USD/shares | 2024-03-12 | 10-K · 0001213900-24-021834 |
Related financial histories
- CHARGING ROBOTICS INC.: total assets
- CHARGING ROBOTICS INC.: total liabilities
- CHARGING ROBOTICS INC.: stockholders equity
- CHARGING ROBOTICS INC.: cash and cash equivalents
- CHARGING ROBOTICS INC.: net income or loss
- CHARGING ROBOTICS INC.: operating cash flow
- CHARGING ROBOTICS INC.: financing cash flow
- CHARGING ROBOTICS INC.: investing cash flow
- CHARGING ROBOTICS INC.: retained earnings or deficit
- CHARGING ROBOTICS INC.: basic weighted-average shares
- CHARGING ROBOTICS INC.: diluted earnings per share
- CHARGING ROBOTICS INC.: net property, plant and equipment
- CHARGING ROBOTICS INC.: share-based compensation expense
- CHARGING ROBOTICS INC.: operating income or loss
- CHARGING ROBOTICS INC.: current assets
- CHARGING ROBOTICS INC.: interest expense
- CHARGING ROBOTICS INC.: current liabilities
- CHARGING ROBOTICS INC.: current accounts payable
- CHARGING ROBOTICS INC.: operating expenses
- CHARGING ROBOTICS INC.: research and development expense
Inspect the source
- Entity
- CHARGING ROBOTICS INC. / CIK 0001459188
- Captured
- 2026-09-20T09:06:05.674Z
- SEC response SHA-256
28cd74877efd36adcfe431281a3b70c27e48d71666b5607dd60226d8d88828eb
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/0001459188.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"])))