diff --git a/sdk/metric/internal/aggregate/exponential_histogram.go b/sdk/metric/internal/aggregate/exponential_histogram.go
index 857eddf30..cf4e86acf 100644
--- a/sdk/metric/internal/aggregate/exponential_histogram.go
+++ b/sdk/metric/internal/aggregate/exponential_histogram.go
@@ -338,13 +338,18 @@ func (e *expoHistogram[N]) measure(
 	e.valuesMu.Lock()
 	defer e.valuesMu.Unlock()
 
-	attr := e.limit.Attributes(fltrAttr, e.values)
-	v, ok := e.values[attr.Equivalent()]
+	v, ok := e.values[fltrAttr.Equivalent()]
 	if !ok {
-		v = newExpoHistogramDataPoint[N](attr, e.maxSize, e.maxScale, e.noMinMax, e.noSum)
-		v.res = e.newRes(attr)
+		fltrAttr = e.limit.Attributes(fltrAttr, e.values)
+		// If we overflowed, make sure we add to the existing overflow series
+		// if it already exists.
+		v, ok = e.values[fltrAttr.Equivalent()]
+		if !ok {
+			v = newExpoHistogramDataPoint[N](fltrAttr, e.maxSize, e.maxScale, e.noMinMax, e.noSum)
+			v.res = e.newRes(fltrAttr)
 
-		e.values[attr.Equivalent()] = v
+			e.values[fltrAttr.Equivalent()] = v
+		}
 	}
 	v.record(value)
 	v.res.Offer(ctx, value, droppedAttr)
diff --git a/sdk/metric/internal/aggregate/histogram.go b/sdk/metric/internal/aggregate/histogram.go
index 22d6c67d1..639c4d002 100644
--- a/sdk/metric/internal/aggregate/histogram.go
+++ b/sdk/metric/internal/aggregate/histogram.go
@@ -97,22 +97,27 @@ func (s *histValues[N]) measure(
 	s.valuesMu.Lock()
 	defer s.valuesMu.Unlock()
 
-	attr := s.limit.Attributes(fltrAttr, s.values)
-	b, ok := s.values[attr.Equivalent()]
+	b, ok := s.values[fltrAttr.Equivalent()]
 	if !ok {
-		// N+1 buckets. For example:
-		//
-		//   bounds = [0, 5, 10]
-		//
-		// Then,
-		//
-		//   buckets = (-∞, 0], (0, 5.0], (5.0, 10.0], (10.0, +∞)
-		b = newBuckets[N](attr, len(s.bounds)+1)
-		b.res = s.newRes(attr)
+		fltrAttr = s.limit.Attributes(fltrAttr, s.values)
+		// If we overflowed, make sure we add to the existing overflow series
+		// if it already exists.
+		b, ok = s.values[fltrAttr.Equivalent()]
+		if !ok {
+			// N+1 buckets. For example:
+			//
+			//   bounds = [0, 5, 10]
+			//
+			// Then,
+			//
+			//   buckets = (-∞, 0], (0, 5.0], (5.0, 10.0], (10.0, +∞)
+			b = newBuckets[N](fltrAttr, len(s.bounds)+1)
+			b.res = s.newRes(fltrAttr)
 
-		// Ensure min and max are recorded values (not zero), for new buckets.
-		b.min, b.max = value, value
-		s.values[attr.Equivalent()] = b
+			// Ensure min and max are recorded values (not zero), for new buckets.
+			b.min, b.max = value, value
+			s.values[fltrAttr.Equivalent()] = b
+		}
 	}
 	b.bin(idx)
 	if !s.noMinMax {
diff --git a/sdk/metric/internal/aggregate/lastvalue.go b/sdk/metric/internal/aggregate/lastvalue.go
index 4bbe624c7..6faf4920c 100644
--- a/sdk/metric/internal/aggregate/lastvalue.go
+++ b/sdk/metric/internal/aggregate/lastvalue.go
@@ -42,17 +42,18 @@ func (s *lastValue[N]) measure(ctx context.Context, value N, fltrAttr attribute.
 	s.Lock()
 	defer s.Unlock()
 
-	attr := s.limit.Attributes(fltrAttr, s.values)
-	d, ok := s.values[attr.Equivalent()]
+	d, ok := s.values[fltrAttr.Equivalent()]
 	if !ok {
-		d.res = s.newRes(attr)
+		fltrAttr = s.limit.Attributes(fltrAttr, s.values)
+		d = s.values[fltrAttr.Equivalent()]
+		d.res = s.newRes(fltrAttr)
+		d.attrs = fltrAttr
 	}
 
-	d.attrs = attr
 	d.value = value
 	d.res.Offer(ctx, value, droppedAttr)
 
-	s.values[attr.Equivalent()] = d
+	s.values[fltrAttr.Equivalent()] = d
 }
 
 func (s *lastValue[N]) delta(
diff --git a/sdk/metric/internal/aggregate/sum.go b/sdk/metric/internal/aggregate/sum.go
index 1b4b2304c..164feb867 100644
--- a/sdk/metric/internal/aggregate/sum.go
+++ b/sdk/metric/internal/aggregate/sum.go
@@ -38,17 +38,18 @@ func (s *valueMap[N]) measure(ctx context.Context, value N, fltrAttr attribute.S
 	s.Lock()
 	defer s.Unlock()
 
-	attr := s.limit.Attributes(fltrAttr, s.values)
-	v, ok := s.values[attr.Equivalent()]
+	v, ok := s.values[fltrAttr.Equivalent()]
 	if !ok {
-		v.res = s.newRes(attr)
+		fltrAttr = s.limit.Attributes(fltrAttr, s.values)
+		v = s.values[fltrAttr.Equivalent()]
+		v.res = s.newRes(fltrAttr)
+		v.attrs = fltrAttr
 	}
 
-	v.attrs = attr
 	v.n += value
 	v.res.Offer(ctx, value, droppedAttr)
 
-	s.values[attr.Equivalent()] = v
+	s.values[fltrAttr.Equivalent()] = v
 }
 
 // newSum returns an aggregator that summarizes a set of measurements as their