diff --git a/etl/eligibility/ha_15_32/ha_analysis_batch_3.py b/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
index 9a959956..aca2ce43 100644
--- a/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
+++ b/etl/eligibility/ha_15_32/ha_analysis_batch_3.py
@@ -4154,19 +4154,25 @@ def forecast_remaining_sales(loader):
         else:
             ha_gbis_sale_conversion = median_gbis_to_install
 
-        gbis_total = eligiblity_counts[
+        gbis_total_pre_cancellations = eligiblity_counts[
             eligiblity_counts["ECO Eligibility"] == "gbis"
             ]["count"].sum()
-        gbis_total = int(np.round(gbis_total * ha_gbis_sale_conversion))
-        gbis_total_revenue = int(gbis_total * gbis_rate)
 
-        gbis_remaining = eligiblity_counts_remaining[
+        gbis_total_pre_cancellations_revenue = gbis_total_pre_cancellations * gbis_rate
+        # gbis_total = int(np.round(gbis_total_pre_cancellations * ha_gbis_sale_conversion))
+        # gbis_total_revenue = int(gbis_total * gbis_rate)
+
+        gbis_remaining_pre_cancellations = eligiblity_counts_remaining[
             eligiblity_counts_remaining["ECO Eligibility"] == "gbis"
             ]["count"].sum()
-        gbis_remaining = int(np.round(gbis_remaining * ha_gbis_sale_conversion))
+        gbis_remaining_pre_cancellations_revenue = (
+            gbis_remaining_pre_cancellations * gbis_rate
+        )
+        # This is the gbis jobs we expect to sell
+        gbis_remaining = int(np.round(gbis_remaining_pre_cancellations * ha_gbis_sale_conversion))
         gbis_remaining_revenue = int(gbis_remaining * gbis_rate)
-
-        survey_list["installation_status"].value_counts()
+        # This is the number we expect to cancel
+        gbis_remaining_expected_cancellations = int(gbis_remaining_pre_cancellations - gbis_remaining) * gbis_rate
 
         # GBIS delta
         if original_warmfront_remaining_gbis == 0:
@@ -4179,9 +4185,10 @@ def forecast_remaining_sales(loader):
         # Current sales figures
         # For any sales surveys that are complete, that could still cancel, we apply a conversion rate
         eco4_actually_sold = 0
-        gbis_actually_sold = 0
         eco4_confirmed_cancellations = 0
         eco4_expected_cancellations = 0
+
+        gbis_actually_sold = 0
         gbis_confirmed_cancellations = 0
         gbis_expected_cancellations = 0
         if not survey_list.empty:
@@ -4284,17 +4291,30 @@ def forecast_remaining_sales(loader):
             raise ValueError("Something went wrong in pre_ciga_eco4_variance")
 
         # Check GBIS total variance
-        gbis_variance = (
-            gbis_total_revenue -
-            gbis_actually_sold -
-            gbis_confirmed_cancellations * gbis_rate -
-            gbis_expected_cancellations * gbis_rate -
-            gbis_remaining_revenue
+        # The total before cancellations should equal:
+        # The number of sold +
+        # The number of confirmed cancelled +
+        # The number of expected cancelled +
+        # The number of remaining
+        gbis_variance = gbis_total_pre_cancellations - (
+            gbis_actually_sold / gbis_rate +
+            gbis_confirmed_cancellations +
+            gbis_expected_cancellations +
+            gbis_remaining_pre_cancellations
         )
 
         if gbis_variance != 0:
             raise ValueError("Something went wrong in gbis_variance")
 
+        # We expect the remaining to equal expected sales + expected cancellations
+        gbis_variance_2 = gbis_remaining_pre_cancellations - (
+            gbis_remaining +
+            gbis_remaining_expected_cancellations
+        )
+
+        if gbis_variance_2 != 0:
+            raise ValueError("Something went wrong in gbis_variance")
+
         to_append = {
             ("", "", "", "HA Name"): ha_name,
             # ECO4 - original warmfront figures
@@ -4375,17 +4395,26 @@ def forecast_remaining_sales(loader):
                 "Estimated CIGA failures - £"
             ],
             # GBIS postcode list
-            ("GBIS Postcode list", "Warmfront post code list", "Total - #", "GBIS total"): gbis_total,
-            ("GBIS Postcode list", "Warmfront post code list", "Total - £", "GBIS total"): gbis_total_revenue,
+            ("GBIS Postcode list", "Warmfront post code list", "Total - #", "GBIS total"): gbis_total_pre_cancellations,
+            ("GBIS Postcode list", "Warmfront post code list", "Total - £", "GBIS total"):
+                gbis_total_pre_cancellations_revenue,
             ("GBIS Postcode list", "Warmfront post code list", "GBIS VARIANCE", "GBIS total"): gbis_variance,
             ("GBIS Postcode list", "Warmfront post code list", "Sold - £", "GBIS total"): gbis_actually_sold,
             ("GBIS Postcode list", "", "Confirmed cancellations - £", ""): gbis_confirmed_cancellations * gbis_rate,
             # This is for jobs that are in-progress and could still cancel
             ("GBIS Postcode list", "", "Unconfirmed cancellations - £", ""): gbis_expected_cancellations * gbis_rate,
-            ("GBIS Postcode list", "Warmfront post code list", "Remaining - #", "GBIS total"): gbis_remaining,
-            ("GBIS Postcode list", "Warmfront post code list", "Remaining - £", "GBIS total"): gbis_remaining_revenue,
+            ("GBIS Postcode list", "Warmfront post code list", "Remaining - #", "GBIS total"):
+                gbis_remaining_pre_cancellations,
+            ("GBIS Postcode list", "Warmfront post code list", "Remaining - £", "GBIS total"):
+                gbis_remaining_pre_cancellations_revenue,
             ("GBIS Postcode list", "", "Delta vs original estimate, remaining - %", ""):
                 gbis_delta_vs_original_estimate_remaining,
+            # Expected cancellations
+            (
+                "GBIS Postcode list", "Of which expected sales - £", "Remaining - £",
+                "GBIS total"): gbis_remaining_revenue,
+            ("GBIS Postcode list", "Of which expected cancellations -£", "Remaining - £", "GBIS total"):
+                gbis_remaining_expected_cancellations
         }
 
         # Make sure nothing is forgotten due to duplicate multi-index keys