diff --git a/domain/scenario_export/scenario_sheet.py b/domain/scenario_export/scenario_sheet.py
index 3d9dfda7b..33871d923 100644
--- a/domain/scenario_export/scenario_sheet.py
+++ b/domain/scenario_export/scenario_sheet.py
@@ -44,6 +44,20 @@ MEASURE_COLUMNS: tuple[str, ...] = (
 # Property identity columns, leading every sheet before the measure columns.
 _ID_COLUMNS: tuple[str, ...] = ("property_id", "landlord_property_id")
 
+# Per-Property roll-ups of the selected measures' attributed impact, trailing the
+# measure columns (ADR-0065).
+_SAVINGS_COLUMNS: tuple[str, ...] = (
+    "sap_points",
+    "co2_equivalent_savings",
+    "kwh_savings",
+    "energy_cost_savings",
+)
+
+
+def _sum(values: Sequence[Optional[float]]) -> float:
+    """Sum optional numbers, treating an absent contribution as zero."""
+    return sum(value or 0.0 for value in values)
+
 
 @dataclass(frozen=True)
 class ExportMeasure:
@@ -111,7 +125,7 @@ def shape_scenario_sheet(
     properties: Sequence[PropertyScenarioData],
 ) -> ExportSheet:
     """Shape one Scenario's Properties into a wide export sheet (ADR-0065)."""
-    columns: tuple[str, ...] = _ID_COLUMNS + MEASURE_COLUMNS
+    columns: tuple[str, ...] = _ID_COLUMNS + MEASURE_COLUMNS + _SAVINGS_COLUMNS
     rows: list[dict[str, Any]] = []
     for prop in properties:
         row: dict[str, Any] = {
@@ -125,5 +139,14 @@ def shape_scenario_sheet(
         for measure in prop.measures:
             if measure.measure_type in MEASURE_COLUMNS:
                 row[measure.measure_type] = measure.estimated_cost
+        # Roll the selected measures' attributed impact up to the Property.
+        row["sap_points"] = _sum([m.sap_points for m in prop.measures])
+        row["co2_equivalent_savings"] = _sum(
+            [m.co2_equivalent_savings for m in prop.measures]
+        )
+        row["kwh_savings"] = _sum([m.kwh_savings for m in prop.measures])
+        row["energy_cost_savings"] = _sum(
+            [m.energy_cost_savings for m in prop.measures]
+        )
         rows.append(row)
     return ExportSheet(columns=columns, rows=tuple(rows))