diff --git a/doc/user_guide/eds.rst b/doc/user_guide/eds.rst
index 7e8b522d83..93b8bf756b 100644
--- a/doc/user_guide/eds.rst
+++ b/doc/user_guide/eds.rst
@@ -811,13 +811,13 @@ composition maps for each element.
         >>>                  factors=factors, absorption_correction=True
         >>>                  thickness = 100.)
 
-At this stage absorption correction is only applicable for parallel-sided, 
-thin-film samples. Absorption correction is calculated on a pixel by pixel 
+At this stage absorption correction is only applicable for parallel-sided,
+thin-film samples. Absorption correction is calculated on a pixel by pixel
 basis after having determined a sample mass-thickness map. It therefore may
 be a source of error in particularly inhomogeneous specimens.
-  
+
 Absorption correction can also only be applied to spectra from a single EDS
-detector. For systems that consist of multiple detectors, such as the Thermo 
+detector. For systems that consist of multiple detectors, such as the Thermo
 Fisher Super-X, it is therefore necessary to load the spectra from each
 detector separately.
 
@@ -847,13 +847,13 @@ is available:
 Electron and X-ray range
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
-The electron and X-ray range in a bulk material can be estimated with 
+The electron and X-ray range in a bulk material can be estimated with
 :py:meth:`hs.eds.electron_range` and :py:meth:`hs.eds.xray_range`
 
 To calculate the X-ray range of Cu Ka in pure Copper at 30 kV in micron:
 
 .. code-block:: python
-    
+
     >>> hs.eds.xray_range('Cu_Ka', 30.)
     1.9361716759499248
 
@@ -871,4 +871,3 @@ To calculate the electron range in pure Copper at 30 kV in micron
 
     >>> hs.eds.electron_range('Cu', 30.)
     2.8766744984001607
-
diff --git a/hyperspy/misc/eds/utils.py b/hyperspy/misc/eds/utils.py
index 0f8bdb09d0..69626baeb3 100644
--- a/hyperspy/misc/eds/utils.py
+++ b/hyperspy/misc/eds/utils.py
@@ -498,8 +498,9 @@ def _quantification_cliff_lorimer(intensities,
     other_index = list(range(len(kfactors)))
     other_index.pop(ref_index)
     for i in other_index:
-        ab[i] = intensities[ref_index] * kfactors[ref_index]  \
-            / (intensities[i] * absorption_correction[i]) / kfactors[i]
+        ab[i] = (intensities[ref_index] * absorption_correction[ref_index]) \
+            / (intensities[i] * absorption_correction[i]) \
+            *( kfactors[ref_index] / kfactors[i])
     # Ca = ab /(1 + ab + ab/ac + ab/ad + ...)
     ab = ab
     for i in other_index:
diff --git a/hyperspy/tests/signal/test_eds_tem.py b/hyperspy/tests/signal/test_eds_tem.py
index 9d451554ef..09e190ac6a 100644
--- a/hyperspy/tests/signal/test_eds_tem.py
+++ b/hyperspy/tests/signal/test_eds_tem.py
@@ -250,9 +250,16 @@ def test_quant_lorimer_ac(self):
                                composition_units,
                                absorption_correction=True,
                                thickness=0.0001)
-        np.testing.assert_allclose(res2[0][0].data, np.ones((2, 2)) * 22.70779,
+        list.reverse(intensities)
+        list.reverse(kfactors)
+        res5 = s.quantification(intensities, method, kfactors,
+                               composition_units,
+                               absorption_correction=True,
+                               thickness=300.)
+        np.testing.assert_allclose(res5[0][0].data, res3[0][1].data, atol=1e-5)
+        np.testing.assert_allclose(res2[0][0].data, np.ones((2, 2)) * 22.743013,
                                    atol=1e-3)
-        np.testing.assert_allclose(res3[0][0].data, np.ones((2, 2)) * 22.587251,
+        np.testing.assert_allclose(res3[0][0].data, np.ones((2, 2)) * 31.816908,
                                    atol=1e-3)
         np.testing.assert_allclose(res[0].data, res4[0][0].data, atol=1e-5)