diff --git a/reV/supply_curve/points.py b/reV/supply_curve/points.py
index 7de5a3300..170f4a555 100644
--- a/reV/supply_curve/points.py
+++ b/reV/supply_curve/points.py
@@ -1980,6 +1980,7 @@ def economies_of_scale(cap_cost_scale, summary):
         summary['raw_lcoe'] = eos.raw_lcoe
         summary['mean_lcoe'] = eos.scaled_lcoe
         summary['capital_cost_scalar'] = eos.capital_cost_scalar
+        summary['scaled_capital_cost'] = eos.scaled_capital_cost
 
         return summary
 
diff --git a/tests/test_econ_of_scale.py b/tests/test_econ_of_scale.py
index ef9f352e2..272df05ed 100644
--- a/tests/test_econ_of_scale.py
+++ b/tests/test_econ_of_scale.py
@@ -162,6 +162,8 @@ def test_econ_of_scale_baseline():
         sc_df = pd.read_csv(out_fp_sc + ".csv")
         assert np.allclose(base_df['mean_lcoe'], sc_df['mean_lcoe'])
         assert (sc_df['capital_cost_scalar'] == 1).all()
+        assert np.allclose(sc_df['mean_capital_cost'],
+                           sc_df['scaled_capital_cost'])
 
 
 def test_sc_agg_econ_scale():
@@ -225,6 +227,8 @@ def test_sc_agg_econ_scale():
                             / aep + data['variable_operating_cost'])
 
         assert np.allclose(scalars, sc_df['capital_cost_scalar'])
+        assert np.allclose(scalars * sc_df['mean_capital_cost'],
+                           sc_df['scaled_capital_cost'])
 
         assert np.allclose(true_scaled_lcoe, sc_df['mean_lcoe'])
         assert np.allclose(true_raw_lcoe, sc_df['raw_lcoe'])