forward_ebitda
Get forward EBITDA estimates.
Examples
from openbb import obb
obb.equity.estimates.forward_ebitda(provider='intrinio')
obb.equity.estimates.forward_ebitda(symbol='AAPL', fiscal_period=annual, provider='intrinio')
obb.equity.estimates.forward_ebitda(symbol='AAPL,MSFT', fiscal_period=quarter, provider='fmp')
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['quarter', 'annual']
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
Returns
results
: list[ForwardEbitdaEstimates]
Serializable results.
provider
: Optional[Literal['fmp', 'intrinio']]
Provider name.
warnings
: Optional[list[Warning_]]
list of warnings.
chart
: Optional[Chart]
Chart object.
extra
: dict[str, Any]
Extra info.
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.