diff --git a/doc/source/whatsnew/v0.25.1.rst b/doc/source/whatsnew/v0.25.1.rst
index 34b149a6b8261..58eb83b7d57ae 100644
--- a/doc/source/whatsnew/v0.25.1.rst
+++ b/doc/source/whatsnew/v0.25.1.rst
@@ -89,7 +89,7 @@ Indexing
 Missing
 ^^^^^^^
 
--
+- Fixed bug where object with no data attribute were not being caught (:issue:`27482`)
 -
 -
 
diff --git a/pandas/core/dtypes/missing.py b/pandas/core/dtypes/missing.py
index 6f599a6be6021..982347de69b1e 100644
--- a/pandas/core/dtypes/missing.py
+++ b/pandas/core/dtypes/missing.py
@@ -2,7 +2,6 @@
 missing types & inference
 """
 import numpy as np
-
 from pandas._config import get_option
 
 from pandas._libs import lib
@@ -46,7 +45,6 @@
 isposinf_scalar = libmissing.isposinf_scalar
 isneginf_scalar = libmissing.isneginf_scalar
 
-
 def isna(obj):
     """
     Detect missing values for an array-like object.
@@ -128,6 +126,12 @@ def isna(obj):
 
 
 def _isna_new(obj):
+    try:
+        # If any object doesn't have an attribute data 
+        if obj._data == None: 
+            return False
+    except:
+        pass
     if is_scalar(obj):
         return libmissing.checknull(obj)
     # hack (for now) because MI registers as ndarray
@@ -152,6 +156,7 @@ def _isna_new(obj):
     elif hasattr(obj, "__array__"):
         return _isna_ndarraylike(np.asarray(obj))
     else:
+        print("Test")
         return obj is None
 
 
@@ -222,8 +227,10 @@ def _isna_ndarraylike(obj):
     else:
         values = obj
 
+
     dtype = values.dtype
 
+
     if is_extension:
         if isinstance(obj, (ABCIndexClass, ABCSeries)):
             values = obj._values
@@ -254,7 +261,6 @@ def _isna_ndarraylike(obj):
     # box
     if isinstance(obj, ABCSeries):
         result = obj._constructor(result, index=obj.index, name=obj.name, copy=False)
-
     return result
 
 
diff --git a/scripts/tests/test_27482.py b/scripts/tests/test_27482.py
new file mode 100644
index 0000000000000..e3b637728505b
--- /dev/null
+++ b/scripts/tests/test_27482.py
@@ -0,0 +1,19 @@
+import pandas as pd
+import pytest
+import unittest
+
+class TestStringMethods(unittest.TestCase):
+	
+	def test1(self):
+		x = pd.Series([1,2,3,4])
+		xt = type(x)
+		assert pd.isnull(xt)==False,"Passed"
+
+	def test2(self):
+		y = pd.DataFrame({"col": [1,2,3,4]})
+		yt = type(y)
+		assert pd.isnull(yt)==False,"Passed"
+
+
+if __name__ == '__main__':
+    unittest.main()
\ No newline at end of file