Calendar Earnings
Implementation details
Class names
| Model name | Parameters class | Data class |
|---|---|---|
CalendarEarnings | CalendarEarningsQueryParams | CalendarEarningsData |
Import Statement
from openbb_core.provider.standard_models.calendar_earnings import (
CalendarEarningsData,
CalendarEarningsQueryParams,
)
Parameters
- standard
- fmp
- nasdaq
- seeking_alpha
- tmx
start_date: Union[date, str]
Start date of the data, in YYYY-MM-DD format.
• Optional: True
end_date: Union[date, str]
End date of the data, in YYYY-MM-DD format.
• Optional: True
start_date: Union[date, str]
Start date of the data, in YYYY-MM-DD format.
• Optional: True
end_date: Union[date, str]
End date of the data, in YYYY-MM-DD format.
• Optional: True
start_date: Union[date, str]
Start date of the data, in YYYY-MM-DD format.
• Optional: True
end_date: Union[date, str]
End date of the data, in YYYY-MM-DD format.
• Optional: True
start_date: Union[date, str]
Start date of the data, in YYYY-MM-DD format.
• Optional: True
end_date: Union[date, str]
End date of the data, in YYYY-MM-DD format.
• Optional: True
country: Literal['us', 'ca']
The country to get calendar data for.
• Default: us
• Optional: True
start_date: Union[date, str]
Start date of the data, in YYYY-MM-DD format.
• Optional: True
end_date: Union[date, str]
End date of the data, in YYYY-MM-DD format.
• Optional: True
Data
- standard
- fmp
- nasdaq
- seeking_alpha
- tmx
report_date: date
The date of the earnings report.
symbol: str
Symbol representing the entity requested in the data.
name: str
Name of the entity.
eps_previous: float
The earnings-per-share from the same previously reported period.
eps_consensus: float
The analyst conesus earnings-per-share estimate.
report_date: date
The date of the earnings report.
symbol: str
Symbol representing the entity requested in the data.
name: str
Name of the entity.
eps_previous: float
The earnings-per-share from the same previously reported period.
eps_consensus: float
The analyst conesus earnings-per-share estimate.
eps_actual: float
The actual earnings per share announced.
revenue_actual: float
The actual reported revenue.
revenue_consensus: float
The revenue forecast consensus.
period_ending: date
The fiscal period end date.
reporting_time: str
The reporting time - e.g. after market close.
updated_date: date
The date the data was updated last.
report_date: date
The date of the earnings report.
symbol: str
Symbol representing the entity requested in the data.
name: str
Name of the entity.
eps_previous: float
The earnings-per-share from the same previously reported period.
eps_consensus: float
The analyst conesus earnings-per-share estimate.
eps_actual: float
The actual earnings per share (USD) announced.
surprise_percent: float
The earnings surprise as normalized percentage points.
num_estimates: int
The number of analysts providing estimates for the consensus.
period_ending: str
The fiscal period end date.
previous_report_date: date
The previous report date for the same period last year.
reporting_time: str
The reporting time - e.g. after market close.
market_cap: int
The market cap (USD) of the reporting entity.
report_date: date
The date of the earnings report.
symbol: str
Symbol representing the entity requested in the data.
name: str
Name of the entity.
eps_previous: float
The earnings-per-share from the same previously reported period.
eps_consensus: float
The analyst conesus earnings-per-share estimate.
market_cap: float
Market cap of the entity.
reporting_time: str
The reporting time - e.g. after market close.
exchange: str
The primary trading exchange.
sector_id: int
The Seeking Alpha Sector ID.
report_date: date
The date of the earnings report.
symbol: str
Symbol representing the entity requested in the data.
name: str
The company's name.
eps_previous: float
The earnings-per-share from the same previously reported period.
eps_consensus: float
The consensus estimated EPS in dollars.
eps_actual: float
The actual EPS in dollars.
eps_surprise: float
The EPS surprise in dollars.
surprise_percent: float
The EPS surprise as a normalized percent.
reporting_time: str
The time of the report - i.e., before or after market.