diff --git a/openbb_sdk/extensions/qa/openbb_qa/qa_helpers.py b/openbb_sdk/extensions/qa/openbb_qa/qa_helpers.py
index c1fdc41e1f1..c8d818ce107 100644
--- a/openbb_sdk/extensions/qa/openbb_qa/qa_helpers.py
+++ b/openbb_sdk/extensions/qa/openbb_qa/qa_helpers.py
@@ -41,6 +41,13 @@ def get_fama_raw(start_date: str, end_date: str) -> pd.DataFrame:
     df["HML"] = df["HML"] / 100
     df["RF"] = df["RF"] / 100
     df = df.set_index("Date")
+
+    dt_start_date = pd.to_datetime(start_date, format="%Y-%m-%d")
+    if dt_start_date > df.index.max():
+        raise ValueError(
+            f"Start date '{dt_start_date}' is after the last date available for Fama-French '{df.index[-1]}'"
+        )
+
     df = df.loc[start_date:end_date]  # type: ignore
 
     return df
diff --git a/openbb_sdk/extensions/qa/openbb_qa/qa_router.py b/openbb_sdk/extensions/qa/openbb_qa/qa_router.py
index 8d26ed570ce..24451ce65aa 100644
--- a/openbb_sdk/extensions/qa/openbb_qa/qa_router.py
+++ b/openbb_sdk/extensions/qa/openbb_qa/qa_router.py
@@ -85,7 +85,7 @@ def capm(data: List[Data], target: str) -> OBBject[CAPMModel]:
 
     df_target = get_target_columns(df, ["date", target])
     df_target = df_target.set_index("date")
-    df_target["return"] = df_target.pct_change()
+    df_target.loc[:, "return"] = df_target.pct_change()
     df_target = df_target.dropna()
     start_date = df_target.index.min().strftime("%Y-%m-%d")
     end_date = df_target.index.max().strftime("%Y-%m-%d")
diff --git a/openbb_sdk/sdk/core/openbb_core/app/utils.py b/openbb_sdk/sdk/core/openbb_core/app/utils.py
index 14f8874539e..30245803a1e 100644
--- a/openbb_sdk/sdk/core/openbb_core/app/utils.py
+++ b/openbb_sdk/sdk/core/openbb_core/app/utils.py
@@ -9,9 +9,14 @@ def basemodel_to_df(
 ) -> pd.DataFrame:
     """Convert list of BaseModel to a Pandas DataFrame."""
 
-    data_list = [data] if not isinstance(data, list) else data
+    if isinstance(data, list):
+        df = pd.DataFrame([d.dict() for d in data])
+    else:
+        try:
+            df = pd.DataFrame(data.dict())
+        except ValueError:
+            df = pd.DataFrame(data.dict(), index=["values"])
 
-    df = pd.DataFrame([d.dict() for d in data_list])
     if index and index in df.columns:
         df = df.set_index(index)
         if df.index.name == "date":