diff --git a/tests/v1/executor/test_multiproc_executor.py b/tests/v1/executor/test_multiproc_executor.py
new file mode 100644
index 000000000000..c1425d82becf
--- /dev/null
+++ b/tests/v1/executor/test_multiproc_executor.py
@@ -0,0 +1,127 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+import threading
+from collections import defaultdict
+from concurrent.futures import Future
+from typing import Optional
+
+from vllm.v1.executor.multiproc_executor import MultiprocExecutor
+from vllm.v1.outputs import ModelRunnerOutput
+
+
+class DummyMultiprocExecutor(MultiprocExecutor):
+
+    def __init__(self, output_rank, world_size):
+        # Manually initialize minimal required fields
+        self.output_rank = output_rank
+        self.world_size = world_size
+        self._send_remaining_count = defaultdict[str,
+                                                 int](lambda: self.world_size)
+        self._recv_remaining_count = defaultdict[str,
+                                                 int](lambda: self.world_size)
+        self.io_thread_pool = None
+        self.shutdown_event = threading.Event()
+
+
+class DummyModelRunnerOutput(ModelRunnerOutput):
+
+    def __init__(self,
+                 finished_sending: Optional[set[str]] = None,
+                 finished_recving: Optional[set[str]] = None):
+        self.finished_sending = finished_sending
+        self.finished_recving = finished_recving
+
+
+def test_aggregate_workers_output():
+    executor = DummyMultiprocExecutor(output_rank=0, world_size=2)
+
+    output1 = DummyModelRunnerOutput(finished_sending={'req1'},
+                                     finished_recving={'req2'})
+    output2 = DummyModelRunnerOutput(finished_sending=None,
+                                     finished_recving=None)
+
+    aggregated = executor._aggregate_workers_output([output1, output2])
+
+    assert aggregated is output1
+    assert aggregated.finished_sending is None
+    assert aggregated.finished_recving is None
+
+    output1 = DummyModelRunnerOutput(finished_sending=None,
+                                     finished_recving=None)
+    output2 = DummyModelRunnerOutput(finished_sending={'req1'},
+                                     finished_recving=None)
+
+    aggregated = executor._aggregate_workers_output([output1, output2])
+
+    assert aggregated is output1
+    assert aggregated.finished_sending == {'req1'}
+    assert aggregated.finished_recving is None
+
+    output1 = DummyModelRunnerOutput(finished_sending=None,
+                                     finished_recving=None)
+    output2 = DummyModelRunnerOutput(finished_sending={'req1'},
+                                     finished_recving={'req2'})
+
+    aggregated = executor._aggregate_workers_output([output1, output2])
+
+    assert aggregated is output1
+    assert aggregated.finished_sending is None
+    assert aggregated.finished_recving == {'req2'}
+
+
+def test_async_aggregate_workers_output():
+    executor = DummyMultiprocExecutor(output_rank=0, world_size=2)
+
+    future1: Future[DummyModelRunnerOutput] = Future()
+    future2: Future[DummyModelRunnerOutput] = Future()
+    result_future = executor._async_aggregate_workers_output(
+        [future1, future2])
+
+    output1 = DummyModelRunnerOutput(finished_sending={'req1'},
+                                     finished_recving={'req2'})
+    output2 = DummyModelRunnerOutput(finished_sending=None,
+                                     finished_recving=None)
+    future1.set_result(output1)
+    future2.set_result(output2)
+
+    assert result_future.done()
+    aggregated = result_future.result()
+    assert aggregated is output1
+    assert aggregated.finished_sending is None
+    assert aggregated.finished_recving is None
+
+    future1 = Future()
+    future2 = Future()
+    result_future = executor._async_aggregate_workers_output(
+        [future1, future2])
+
+    output1 = DummyModelRunnerOutput(finished_sending=None,
+                                     finished_recving=None)
+    output2 = DummyModelRunnerOutput(finished_sending={'req1'},
+                                     finished_recving=None)
+    future1.set_result(output1)
+    future2.set_result(output2)
+
+    assert result_future.done()
+    aggregated = result_future.result()
+    assert aggregated is output1
+    assert aggregated.finished_sending == {'req1'}
+    assert aggregated.finished_recving is None
+
+    future1 = Future()
+    future2 = Future()
+    result_future = executor._async_aggregate_workers_output(
+        [future1, future2])
+
+    output1 = DummyModelRunnerOutput(finished_sending=None,
+                                     finished_recving=None)
+    output2 = DummyModelRunnerOutput(finished_sending={'req1'},
+                                     finished_recving={'req2'})
+    future1.set_result(output1)
+    future2.set_result(output2)
+
+    assert result_future.done()
+    aggregated = result_future.result()
+    assert aggregated is output1
+    assert aggregated.finished_sending is None
+    assert aggregated.finished_recving == {'req2'}
diff --git a/vllm/v1/executor/multiproc_executor.py b/vllm/v1/executor/multiproc_executor.py
index 5960dd766c81..4a4144c4860a 100644
--- a/vllm/v1/executor/multiproc_executor.py
+++ b/vllm/v1/executor/multiproc_executor.py
@@ -273,10 +273,8 @@ class MultiprocExecutor(Executor):
         output = outputs[self.output_rank]
 
         # set the aggregated finished_sending / finished_recving
-        if finished_sending:
-            output.finished_sending = finished_sending
-        if finished_recving:
-            output.finished_recving = finished_recving
+        output.finished_sending = finished_sending if finished_sending else None
+        output.finished_recving = finished_recving if finished_recving else None
 
         return output