diff --git a/openbb_sdk/sdk/core/openbb_core/app/model/command_output.py b/openbb_sdk/sdk/core/openbb_core/app/model/command_output.py
index 03930369243..9a2f4c512af 100644
--- a/openbb_sdk/sdk/core/openbb_core/app/model/command_output.py
+++ b/openbb_sdk/sdk/core/openbb_core/app/model/command_output.py
@@ -1,4 +1,4 @@
-from typing import Any, Dict, Generic, List, Optional, TypeVar
+from typing import Any, Dict, Generic, List, Optional, TypeVar, Union
 
 import pandas as pd
 from pydantic import Field
@@ -49,13 +49,18 @@ class CommandOutput(GenericModel, Generic[T], Tagged):
             + "\n".join([f"{k}: {v}" for k, v in self.dict().items()])
         )
 
-    def to_dataframe(self) -> pd.DataFrame:
+    def to_dataframe(self, concat: bool = True) -> Union[pd.DataFrame, Dict[str, pd.DataFrame]]:
         """Converts results field to pandas dataframe.
 
+        Parameters
+        ----------
+        concat : bool, optional
+            If True, it concatenates the dataframes, by default True.
+
         Returns
         -------
-        pd.DataFrame
-            Pandas dataframe.
+        Union[pd.DataFrame, Dict[str, pd.DataFrame]]
+            Pandas dataframe or dictionary of dataframes.
         """
         if self.results is None:
             raise OpenBBError("Results not found.")
@@ -67,13 +72,14 @@ class CommandOutput(GenericModel, Generic[T], Tagged):
                 dict_of_df = {
                     k: basemodel_to_df(v, "date") for k, v in self.results.items()
                 }
-                df = pd.concat(dict_of_df, axis=1)
+                df = pd.concat(dict_of_df, axis=1) if concat else dict_of_df
+
             elif isinstance(self.results, list):
                 df = basemodel_to_df(self.results, "date")
             else:
                 df = basemodel_to_df(self.results, "date")
         except Exception as e:
-            raise OpenBBError("Failed to convert results to dataframe.") from e
+            raise OpenBBError("Failed to convert results to DataFrame.") from e
 
         return df