diff --git a/backend/app/plan/router.py b/backend/app/plan/router.py
index c6a26fcf..42efeb42 100644
--- a/backend/app/plan/router.py
+++ b/backend/app/plan/router.py
@@ -879,6 +879,7 @@ async def build_mds(body: PlanTriggerRequest):
             results.append(to_append)
 
         results = pd.DataFrame(results)
+        results["sap_uplift"] = results["sap_after"] - results["sap_before"]
 
 
     except IntegrityError:
diff --git a/etl/customers/goldman/property_ownership.py b/etl/customers/goldman/property_ownership.py
index 24922f68..45367a63 100644
--- a/etl/customers/goldman/property_ownership.py
+++ b/etl/customers/goldman/property_ownership.py
@@ -363,11 +363,12 @@ def app():
     freehold_matching_lookup = remove_duplicate_matches(freehold_matching_lookup, properties, company_ownership)
     leasehold_matching_lookup = remove_duplicate_matches(leasehold_matching_lookup, properties, company_ownership)
 
-    matched_addresses = freehold_matching_lookup.merge(
-        properties[["UPRN", "ADDRESS"]].rename(columns={"ADDRESS": "epc_address"}),
+    matched_addresses = pd.concat([freehold_matching_lookup, leasehold_matching_lookup]).merge(
+        properties[["UPRN", "ADDRESS", "CURRENT_ENERGY_EFFICIENCY", "CURRENT_ENERGY_RATING"]].rename(
+            columns={"ADDRESS": "epc_address"}),
         how="left", on="UPRN"
     ).merge(
-        company_ownership[["Title Number", "Property Address"]],
+        company_ownership[["Title Number", "Property Address", "Company Registration No. (1)", "Proprietor Name (1)"]],
         how="left", on="Title Number"
     )
 
@@ -377,6 +378,10 @@ def app():
     leasehold_matching_lookup.to_excel("leasehold_matching_lookup.xlsx")
     shared_leasehold_match.to_excel("shared_leasehold_match.xlsx")
     # shared_freehold_match.to_excel("shared_freehold_match.xlsx")
+    # read the files
+    # freehold_matching_lookup = pd.read_excel("freehold_matching_lookup.xlsx")
+    # leasehold_matching_lookup = pd.read_excel("leasehold_matching_lookup.xlsx")
+    # shared_leasehold_match = pd.read_excel("shared_leasehold_match.xlsx")
 
     freehold_aggregate = aggregate_matches(freehold_matching_lookup, company_ownership, properties)
     leasehold_aggregate = aggregate_matches(leasehold_matching_lookup, company_ownership, properties)
@@ -390,6 +395,17 @@ def app():
     investment_20m = combined_aggregate[combined_aggregate["cumulative_value"] <= 20_500_000]
     investment_50m = combined_aggregate[combined_aggregate["cumulative_value"] <= 51_000_000]
 
+    investment_20m_properties = matched_addresses[
+        matched_addresses["Company Registration No. (1)"].isin(investment_20m["Company Registration No. (1)"])
+    ]
+
+    investment_50m_properties = matched_addresses[
+        matched_addresses["Company Registration No. (1)"].isin(investment_50m["Company Registration No. (1)"])
+    ]
+
+    investment_20m_properties.to_excel("investment_20m_properties.xlsx")
+    investment_50m_properties.to_excel("investment_50m_properties.xlsx")
+
     properties["WALLS_DESCRIPTION"].value_counts(normalize=True)