forward_sales

Get forward sales estimates.

Examples

from openbb import obb
obb.equity.estimates.forward_sales(symbol='AAPL', provider='intrinio')
obb.equity.estimates.forward_sales(fiscal_year=2025, fiscal_period=fy, provider='intrinio')

Parameters

• standard
• intrinio
• seeking_alpha

symbol: str | list[str]
Symbol to get data for. Multiple items allowed for provider(s): intrinio, seeking_alpha.

symbol: str | list[str]
Symbol to get data for. Multiple items allowed for provider(s): intrinio, seeking_alpha.

fiscal_year: int
The future fiscal year to retrieve estimates for. When no symbol and year is supplied the current calendar year is used.

fiscal_period: Literal['fy', 'q1', 'q2', 'q3', 'q4']
The future fiscal period to retrieve estimates for.

calendar_year: int
The future calendar year to retrieve estimates for. When no symbol and year is supplied the current calendar year is used.

calendar_period: Literal['q1', 'q2', 'q3', 'q4']
The future calendar period to retrieve estimates for.

symbol: str | list[str]
Symbol to get data for. Multiple items allowed for provider(s): intrinio, seeking_alpha.

period: Literal['annual', 'quarter']
Default: quarter
The reporting period.

---

Returns

results: list[ForwardSalesEstimates]

Serializable results.

provider: Optional[Literal['intrinio', 'seeking_alpha']]

Provider name.

warnings: Optional[list[Warning_]]

list of warnings.

chart: Optional[Chart]

Chart object.

extra: dict[str, Any]

Extra info.

---

Data

• standard
• intrinio
• seeking_alpha

symbol: str
Symbol representing the entity requested in the data.

name: str
Name of the entity.

date: date | str
The date of the data.

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: str
Calendar quarter for the estimate.

low_estimate: int
The sales estimate low for the period.

high_estimate: int
The sales estimate high for the period.

mean: int
The sales estimate mean for the period.

median: int
The sales estimate median for the period.

standard_deviation: int
The sales 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.

date: date | str
The date of the data.

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: str
Calendar quarter for the estimate.

low_estimate: int
The sales estimate low for the period.

high_estimate: int
The sales estimate high for the period.

mean: int
The sales estimate mean for the period.

median: int
The sales estimate median for the period.

standard_deviation: int
The sales estimate standard deviation for the period.

number_of_analysts: int
Number of analysts providing estimates for the period.

revisions_1w_up: int
Number of revisions up in the last week.

revisions_1w_down: int
Number of revisions down in the last week.

revisions_1w_change_percent: float
The analyst revisions percent change in estimate for the period of 1 week.

revisions_1m_up: int
Number of revisions up in the last month.

revisions_1m_down: int
Number of revisions down in the last month.

revisions_1m_change_percent: float
The analyst revisions percent change in estimate for the period of 1 month.

revisions_3m_up: int
Number of revisions up in the last 3 months.

revisions_3m_down: int
Number of revisions down in the last 3 months.

revisions_3m_change_percent: float
The analyst revisions percent change in estimate for the period of 3 months.

symbol: str
Symbol representing the entity requested in the data.

name: str
Name of the entity.

date: date | str
The date of the data.

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: str
Calendar quarter for the estimate.

low_estimate: int
The sales estimate low for the period.

high_estimate: int
The sales estimate high for the period.

mean: int
The sales estimate mean for the period.

median: int
The sales estimate median for the period.

standard_deviation: int
The sales estimate standard deviation for the period.

number_of_analysts: int
Number of analysts providing estimates for the period.

actual: int
Actual sales (revenue) for the period.

period_growth: float
Estimated (or actual if reported) EPS growth for the period.