historical
Get historical analyst estimates for earnings and revenue.
Examples
from openbb import obb
obb.equity.estimates.historical(symbol='AAPL', provider='fmp')
Parameters
- standard
- fmp
symbol: Union[str, list[str]]
Symbol to get data for. Multiple items allowed for provider(s): fmp.
• Optional: False
symbol: Union[str, list[str]]
Symbol to get data for. Multiple items allowed for provider(s): fmp.
• Optional: False
period: Literal['quarter', 'annual']
Time period of the data to return.
• Default: annual
• Optional: True
limit: int
The number of data entries to return.
• Optional: True
Returns
results: list[AnalystEstimates]
Serializable results.
provider: Optional[Literal['fmp']]
Provider name.
warnings: Optional[list[Warning_]]
list of warnings.
chart: Optional[Chart]
Chart object.
extra: dict[str, Any]
Extra info.
Data
- standard
- fmp
symbol: str
Symbol representing the entity requested in the data.
date: Union[date, str]
The date of the data.
estimated_revenue_low: int
Estimated revenue low.
estimated_revenue_high: int
Estimated revenue high.
estimated_revenue_avg: int
Estimated revenue average.
estimated_sga_expense_low: int
Estimated SGA expense low.
estimated_sga_expense_high: int
Estimated SGA expense high.
estimated_sga_expense_avg: int
Estimated SGA expense average.
estimated_ebitda_low: int
Estimated EBITDA low.
estimated_ebitda_high: int
Estimated EBITDA high.
estimated_ebitda_avg: int
Estimated EBITDA average.
estimated_ebit_low: int
Estimated EBIT low.
estimated_ebit_high: int
Estimated EBIT high.
estimated_ebit_avg: int
Estimated EBIT average.
estimated_net_income_low: int
Estimated net income low.
estimated_net_income_high: int
Estimated net income high.
estimated_net_income_avg: int
Estimated net income average.
estimated_eps_avg: float
Estimated EPS average.
estimated_eps_high: float
Estimated EPS high.
estimated_eps_low: float
Estimated EPS low.
number_analyst_estimated_revenue: int
Number of analysts who estimated revenue.
number_analysts_estimated_eps: int
Number of analysts who estimated EPS.
symbol: str
Symbol representing the entity requested in the data.
date: Union[date, str]
The date of the data.
estimated_revenue_low: int
Estimated revenue low.
estimated_revenue_high: int
Estimated revenue high.
estimated_revenue_avg: int
Estimated revenue average.
estimated_sga_expense_low: int
Estimated SGA expense low.
estimated_sga_expense_high: int
Estimated SGA expense high.
estimated_sga_expense_avg: int
Estimated SGA expense average.
estimated_ebitda_low: int
Estimated EBITDA low.
estimated_ebitda_high: int
Estimated EBITDA high.
estimated_ebitda_avg: int
Estimated EBITDA average.
estimated_ebit_low: int
Estimated EBIT low.
estimated_ebit_high: int
Estimated EBIT high.
estimated_ebit_avg: int
Estimated EBIT average.
estimated_net_income_low: int
Estimated net income low.
estimated_net_income_high: int
Estimated net income high.
estimated_net_income_avg: int
Estimated net income average.
estimated_eps_avg: float
Estimated EPS average.
estimated_eps_high: float
Estimated EPS high.
estimated_eps_low: float
Estimated EPS low.
number_analyst_estimated_revenue: int
Number of analysts who estimated revenue.
number_analysts_estimated_eps: int
Number of analysts who estimated EPS.