diff --git a/doc/release_notes.rst b/doc/release_notes.rst
index 62136258..defb0177 100644
--- a/doc/release_notes.rst
+++ b/doc/release_notes.rst
@@ -307,6 +307,8 @@ Upcoming Release
 
 * Fix non steel related coal demand during transition (using `sector_ratios_fraction_future`).
 
+* Fix fill missing data in `build_industry_sector_ratios_intermediate`.
+
 PyPSA-Eur 0.10.0 (19th February 2024)
 =====================================
 
diff --git a/scripts/build_industry_sector_ratios_intermediate.py b/scripts/build_industry_sector_ratios_intermediate.py
index 14e09505..a9cda852 100644
--- a/scripts/build_industry_sector_ratios_intermediate.py
+++ b/scripts/build_industry_sector_ratios_intermediate.py
@@ -51,11 +51,14 @@ def build_industry_sector_ratios_intermediate():
 
     intermediate_sector_ratios = {}
     for ct, group in today_sector_ratios.T.groupby(level=0):
-        today_sector_ratios_ct = (
-            group.droplevel(0)
-            .T.reindex_like(future_sector_ratios)
-            .fillna(future_sector_ratios)
-        )
+        today_sector_ratios_ct = group.droplevel(0).T.reindex_like(future_sector_ratios)
+        missing_mask = today_sector_ratios_ct.isna().all()
+        today_sector_ratios_ct.loc[:, missing_mask] = future_sector_ratios.loc[
+            :, missing_mask
+        ]
+        today_sector_ratios_ct.loc[:, ~missing_mask] = today_sector_ratios_ct.loc[
+            :, ~missing_mask
+        ].fillna(0)
         intermediate_sector_ratios[ct] = (
             today_sector_ratios_ct * (1 - fraction_future)
             + future_sector_ratios * fraction_future
diff --git a/scripts/solve_network.py b/scripts/solve_network.py
index 6aedf54b..67f39d16 100644
--- a/scripts/solve_network.py
+++ b/scripts/solve_network.py
@@ -1050,7 +1050,7 @@ def solve_network(n, config, solving, **kwargs):
     # add to network for extra_functionality
     n.config = config
 
-    if rolling_horizon and snakemake.rule == 'solve_operations_network':
+    if rolling_horizon and snakemake.rule == "solve_operations_network":
         kwargs["horizon"] = cf_solving.get("horizon", 365)
         kwargs["overlap"] = cf_solving.get("overlap", 0)
         n.optimize.optimize_with_rolling_horizon(**kwargs)