diff --git a/tests/opentelemetry-test-utils/src/opentelemetry/test/test_base.py b/tests/opentelemetry-test-utils/src/opentelemetry/test/test_base.py
index 0d81fcb4f53..8593d0f38c1 100644
--- a/tests/opentelemetry-test-utils/src/opentelemetry/test/test_base.py
+++ b/tests/opentelemetry-test-utils/src/opentelemetry/test/test_base.py
@@ -15,12 +15,18 @@
 import logging
 import unittest
 from contextlib import contextmanager
-from typing import Tuple
+from typing import Optional, Tuple, Union
 
 from opentelemetry import metrics as metrics_api
 from opentelemetry import trace as trace_api
 from opentelemetry.sdk.metrics import MeterProvider
-from opentelemetry.sdk.metrics.export import InMemoryMetricReader, MetricReader
+from opentelemetry.sdk.metrics._internal.point import Metric
+from opentelemetry.sdk.metrics.export import (
+    HistogramDataPoint,
+    InMemoryMetricReader,
+    MetricReader,
+    NumberDataPoint,
+)
 from opentelemetry.sdk.trace import TracerProvider, export
 from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
     InMemorySpanExporter,
@@ -85,6 +91,63 @@ def sorted_spans(self, spans):  # pylint: disable=R0201
             reverse=True,
         )
 
+    def sorted_metrics(self, metrics):  # pylint: disable=R0201
+        """
+        Sorts metrics by metric name.
+        """
+        return sorted(
+            metrics,
+            key=lambda m: m.name,
+        )
+
+    def get_sorted_metrics(self):
+        resource_metrics = (
+            self.memory_metrics_reader.get_metrics_data().resource_metrics
+        )
+
+        all_metrics = []
+        for metrics in resource_metrics:
+            for scope_metrics in metrics.scope_metrics:
+                all_metrics.extend(scope_metrics.metrics)
+
+        return self.sorted_metrics(all_metrics)
+
+    def assert_metric_expected(
+        self,
+        metric: Metric,
+        expected_value: Union[int, float],
+        expected_attributes: dict,
+        est_delta: Optional[float] = None,
+    ):
+        data_point = next(iter(metric.data.data_points))
+
+        if isinstance(data_point, HistogramDataPoint):
+            self.assertEqual(
+                data_point.count,
+                1,
+            )
+            if est_delta is None:
+                self.assertEqual(
+                    data_point.sum,
+                    expected_value,
+                )
+            else:
+                self.assertAlmostEqual(
+                    data_point.sum,
+                    expected_value,
+                    delta=est_delta,
+                )
+        elif isinstance(data_point, NumberDataPoint):
+            self.assertEqual(
+                data_point.value,
+                expected_value,
+            )
+
+        self.assertDictEqual(
+            expected_attributes,
+            dict(data_point.attributes),
+        )
+
     @staticmethod
     def create_tracer_provider(**kwargs):
         """Helper to create a configured tracer provider.