diff --git a/backend/app/plan/router.py b/backend/app/plan/router.py
index b8b2d5c8..f7a825db 100644
--- a/backend/app/plan/router.py
+++ b/backend/app/plan/router.py
@@ -115,6 +115,9 @@ def extract_portfolio_aggregation_data(
         pre_retrofit_energy_bill = p.current_energy_bill
         post_retrofit_energy_bill = p.expected_energy_bill
 
+        pre_retrofit_energy_consumption = p.current_adjusted_energy
+        post_retrofit_energy_consumption = p.expected_adjusted_energy
+
         cost = sum([r["total"] for r in default_recommendations])
         sap_point_improvement = sum([r["sap_points"] for r in default_recommendations])
 
@@ -125,6 +128,8 @@ def extract_portfolio_aggregation_data(
             "post_retrofit_co2": post_retrofit_co2,
             "pre_retrofit_energy_bill": pre_retrofit_energy_bill,
             "post_retrofit_energy_bill": post_retrofit_energy_bill,
+            "pre_retrofit_energy_consumption": pre_retrofit_energy_consumption,
+            "post_retrofit_energy_consumption": post_retrofit_energy_consumption,
             "cost": cost,
             "sap_point_improvement": sap_point_improvement
         })
@@ -138,6 +143,9 @@ def extract_portfolio_aggregation_data(
     total_carbon_saved = agg_data["pre_retrofit_co2"].sum() - agg_data["post_retrofit_co2"].sum()
     total_sap_points = agg_data["sap_point_improvement"].sum()
 
+    def format_money(amount):
+        return f"£{amount:,.0f}"
+
     aggregation_data = {
         "epc_breakdown_pre_retrofit": json.dumps(
             reformat_epc_data(agg_data["pre_retrofit_epc"].value_counts().to_dict())
@@ -147,15 +155,18 @@ def extract_portfolio_aggregation_data(
         ),
         "number_of_properties": n_units,
         "n_units_to_retrofit": n_units_to_retrofit,
-        "co2_per_unit_pre_retrofit": agg_data["pre_retrofit_co2"].mean(),
-        "co2_per_unit_post_retrofit": agg_data["post_retrofit_co2"].mean(),
-        "energy_bill_per_unit_pre_retrofit": agg_data["pre_retrofit_energy_bill"].mean(),
-        "energy_bill_per_unit_post_retrofit": agg_data["post_retrofit_energy_bill"].mean(),
-        "valuation_improvement_per_unit": valuation_improvment_per_unit,
-        "total_cost": agg_data["cost"].sum(),
-        "cost_per_unit": agg_data["cost"].mean(),
-        "cost_per_co2_saved": agg_data["cost"].sum() / total_carbon_saved,
-        "cost_per_sap_point": agg_data["cost"].sum() / total_sap_points
+        "co2_per_unit_pre_retrofit": str(round(agg_data["pre_retrofit_co2"].mean(), 2)) + "t",
+        "co2_per_unit_post_retrofit": str(round(agg_data["post_retrofit_co2"].mean(), 2)) + "t",
+        "energy_bill_per_unit_pre_retrofit": format_money(agg_data["pre_retrofit_energy_bill"].mean()),
+        "energy_bill_per_unit_post_retrofit": format_money(agg_data["post_retrofit_energy_bill"].mean()),
+        "energy_consumption_per_unit_pre_retrofit": str(
+            round(agg_data["pre_retrofit_energy_consumption"].mean())) + "kWh",
+        "energy_consumption_per_unit_post_retrofit": str(
+            round(agg_data["post_retrofit_energy_consumption"].mean())) + "kWh",
+        "valuation_improvement_per_unit": format_money(valuation_improvment_per_unit),
+        "cost_per_unit": format_money(agg_data["cost"].mean()),
+        "cost_per_co2_saved": format_money(agg_data["cost"].sum() / total_carbon_saved),
+        "cost_per_sap_point": format_money(agg_data["cost"].sum() / total_sap_points)
     }
 
     return aggregation_data