Forward Ebitda Estimates
Implementation details
Class names
| Model name | Parameters class | Data class |
|---|---|---|
ForwardEbitdaEstimates | ForwardEbitdaEstimatesQueryParams | ForwardEbitdaEstimatesData |
Import Statement
from openbb_core.provider.standard_models.forward_ebitda_estimates import (
ForwardEbitdaEstimatesData,
ForwardEbitdaEstimatesQueryParams,
)
Parameters
- standard
- fmp
- intrinio
symbol: Union[str, list[str]]
Symbol to get data for. Multiple items allowed for provider(s): fmp, intrinio.
• Optional: True
symbol: Union[str, list[str]]
Symbol to get data for. Multiple items allowed for provider(s): fmp, intrinio.
• Optional: True
fiscal_period: Literal['annual', 'quarter']
The future fiscal period to retrieve estimates for.
• Default: annual
• Optional: True
limit: int
The number of data entries to return.
• Optional: True
include_historical: bool
If True, the data will include all past data and the limit will be ignored.
• Default: False
• Optional: True
symbol: Union[str, list[str]]
Symbol to get data for. Multiple items allowed for provider(s): fmp, intrinio.
• Optional: True
fiscal_period: Literal['annual', 'quarter']
Filter for only full-year or quarterly estimates.
• Optional: True
estimate_type: Literal['ebitda', 'ebit', 'enterprise_value', 'cash_flow_per_share', 'pretax_income']
Limit the EBITDA estimates to this type.
• Optional: True
Data
- standard
- fmp
- intrinio
symbol: str
Symbol representing the entity requested in the data.
name: str
Name of the entity.
last_updated: date
The date of the last update.
period_ending: date
The end date of the reporting period.
fiscal_year: int
Fiscal year for the estimate.
fiscal_period: str
Fiscal quarter for the estimate.
calendar_year: int
Calendar year for the estimate.
calendar_period: Union[str, int]
Calendar quarter for the estimate.
low_estimate: int
The EBITDA estimate low for the period.
high_estimate: int
The EBITDA estimate high for the period.
mean: int
The EBITDA estimate mean for the period.
median: int
The EBITDA estimate median for the period.
standard_deviation: int
The EBITDA estimate standard deviation for the period.
number_of_analysts: int
Number of analysts providing estimates for the period.
symbol: str
Symbol representing the entity requested in the data.
name: str
Name of the entity.
last_updated: date
The date of the last update.
period_ending: date
The end date of the reporting period.
fiscal_year: int
Fiscal year for the estimate.
fiscal_period: str
Fiscal quarter for the estimate.
calendar_year: int
Calendar year for the estimate.
calendar_period: Union[str, int]
Calendar quarter for the estimate.
low_estimate: int
The EBITDA estimate low for the period.
high_estimate: int
The EBITDA estimate high for the period.
mean: int
The EBITDA estimate mean for the period.
median: int
The EBITDA estimate median for the period.
standard_deviation: int
The EBITDA estimate standard deviation for the period.
number_of_analysts: int
Number of analysts providing estimates for the period.
symbol: str
Symbol representing the entity requested in the data.
name: str
Name of the entity.
last_updated: date
The date of the last update.
period_ending: date
The end date of the reporting period.
fiscal_year: int
Fiscal year for the estimate.
fiscal_period: str
Fiscal quarter for the estimate.
calendar_year: int
Calendar year for the estimate.
calendar_period: Union[str, int]
Calendar quarter for the estimate.
low_estimate: int
The EBITDA estimate low for the period.
high_estimate: int
The EBITDA estimate high for the period.
mean: int
The EBITDA estimate mean for the period.
median: int
The EBITDA estimate median for the period.
standard_deviation: int
The EBITDA estimate standard deviation for the period.
number_of_analysts: int
Number of analysts providing estimates for the period.
conensus_type: Literal['ebitda', 'ebit', 'enterprise_value', 'cash_flow_per_share', 'pretax_income']
The type of estimate.