fix wrongly converted values

openbb_terminal/helper_funcs.py

@@ -683,7 +683,12 @@ def lambda_long_number_format(num, round_decimal=3) -> str:
         return f"{num_str} {' KMBTP'[magnitude]}".strip()
     if isinstance(num, int):
         num = str(num)
-    if isinstance(num, str) and num.lstrip("-").isdigit():
+    if (
+        isinstance(num, str)
+        and num.lstrip("-").isdigit()
+        and not num.lstrip("-").startswith("0")
+        and not is_valid_date(num)
+    ):
         num = int(num)
         num /= 1.0
         magnitude = 0

openbb_terminal/stocks/fundamental_analysis/fmp_model.py

@@ -540,9 +540,20 @@ def clean_metrics_df(data: pd.DataFrame, num: int, mask: bool = True) -> pd.Data
     # iloc will fail if number is greater than number of columns
     num = min(num, data.shape[1])
     data = data.iloc[:, 0:num]
+
     if mask:
         data = data.mask(data.astype(object).eq(num * ["None"])).dropna()
         data = data.mask(data.astype(object).eq(num * ["0"])).dropna()
+
+    date_rows = {
+        "calendarYear": "%Y",
+        "fillingDate": "%Y-%m-%d",
+        "acceptedDate": "%Y-%m-%d %H:%M:%S",
+    }
+    for row, dt_type in date_rows.items():
+        if row in data.index:
+            data.loc[row] = pd.to_datetime(data.loc[row], format=dt_type)
+
     data = data.applymap(lambda x: lambda_long_number_format(x))
     clean_df_index(data)
     data.columns.name = "Fiscal Date Ending"