diff --git a/CHANGELOG.md b/CHANGELOG.md
index 1409325b27d..b863c47c3a8 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -16,6 +16,7 @@ This project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.htm
 - Add experimental observability metrics in `go.opentelemetry.io/otel/exporters/stdout/stdoutmetric`. (#7492)
 - Improve the concurrent performance of `HistogramReservoir` in `go.opentelemetry.io/otel/sdk/metric/exemplar` by 4x. (#7443)
 - Improve performance of concurrent synchronous gauge measurements in `go.opentelemetry.io/otel/sdk/metric`. (#7478)
+- Improve performance of concurrent exponential histogram measurements in `go.opentelemetry.io/otel/sdk/metric`. (#7702)
 
 <!-- Released section -->
 <!-- Don't change this section unless doing release -->
diff --git a/sdk/metric/internal/aggregate/exponential_histogram.go b/sdk/metric/internal/aggregate/exponential_histogram.go
index 5b3a19c067d..2aeba437894 100644
--- a/sdk/metric/internal/aggregate/exponential_histogram.go
+++ b/sdk/metric/internal/aggregate/exponential_histogram.go
@@ -32,10 +32,9 @@ type expoHistogramDataPoint[N int64 | float64] struct {
 	attrs attribute.Set
 	res   FilteredExemplarReservoir[N]
 
-	count uint64
-	min   N
-	max   N
-	sum   N
+	min N
+	max N
+	sum N
 
 	maxSize  int
 	noMinMax bool
@@ -74,8 +73,6 @@ func newExpoHistogramDataPoint[N int64 | float64](
 
 // record adds a new measurement to the histogram. It will rescale the buckets if needed.
 func (p *expoHistogramDataPoint[N]) record(v N) {
-	p.count++
-
 	if !p.noMinMax {
 		if v < p.min {
 			p.min = v
@@ -193,6 +190,10 @@ func (p *expoHistogramDataPoint[N]) scaleChange(bin, startBin int32, length int)
 	return count
 }
 
+func (p *expoHistogramDataPoint[N]) count() uint64 {
+	return p.posBuckets.count() + p.negBuckets.count() + p.zeroCount
+}
+
 // expoBuckets is a set of buckets in an exponential histogram.
 type expoBuckets struct {
 	startBin int32
@@ -285,6 +286,14 @@ func (b *expoBuckets) downscale(delta int32) {
 	b.startBin >>= delta
 }
 
+func (b *expoBuckets) count() uint64 {
+	var total uint64
+	for _, count := range b.counts {
+		total += count
+	}
+	return total
+}
+
 // newExponentialHistogram returns an Aggregator that summarizes a set of
 // measurements as an exponential histogram. Each histogram is scoped by attributes
 // and the aggregation cycle the measurements were made in.
@@ -376,7 +385,7 @@ func (e *expoHistogram[N]) delta(
 		hDPts[i].Attributes = val.attrs
 		hDPts[i].StartTime = e.start
 		hDPts[i].Time = t
-		hDPts[i].Count = val.count
+		hDPts[i].Count = val.count()
 		hDPts[i].Scale = val.scale
 		hDPts[i].ZeroCount = val.zeroCount
 		hDPts[i].ZeroThreshold = 0.0
@@ -439,7 +448,7 @@ func (e *expoHistogram[N]) cumulative(
 		hDPts[i].Attributes = val.attrs
 		hDPts[i].StartTime = e.start
 		hDPts[i].Time = t
-		hDPts[i].Count = val.count
+		hDPts[i].Count = val.count()
 		hDPts[i].Scale = val.scale
 		hDPts[i].ZeroCount = val.zeroCount
 		hDPts[i].ZeroThreshold = 0.0
diff --git a/sdk/metric/internal/aggregate/exponential_histogram_test.go b/sdk/metric/internal/aggregate/exponential_histogram_test.go
index a27bdc73a54..a4519eafbb4 100644
--- a/sdk/metric/internal/aggregate/exponential_histogram_test.go
+++ b/sdk/metric/internal/aggregate/exponential_histogram_test.go
@@ -706,7 +706,6 @@ func TestSubNormal(t *testing.T) {
 	want := &expoHistogramDataPoint[float64]{
 		attrs:   alice,
 		maxSize: 4,
-		count:   3,
 		min:     math.SmallestNonzeroFloat64,
 		max:     math.SmallestNonzeroFloat64,
 		sum:     3 * math.SmallestNonzeroFloat64,