diff --git a/sdk/metric/internal/aggregate/exponential_histogram.go b/sdk/metric/internal/aggregate/exponential_histogram.go
index 07d9fd6e22c..e9ba04eea5e 100644
--- a/sdk/metric/internal/aggregate/exponential_histogram.go
+++ b/sdk/metric/internal/aggregate/exponential_histogram.go
@@ -102,7 +102,7 @@ func (p *expoHistogramDataPoint[N]) record(v N) {
 		return
 	}
 
-	bin := getBin(absV, p.scale)
+	bin := p.getBin(absV)
 
 	bucket := &p.posBuckets
 	if v < 0 {
@@ -111,7 +111,7 @@ func (p *expoHistogramDataPoint[N]) record(v N) {
 
 	// If the new bin would make the counts larger than maxScale, we need to
 	// downscale current measurements.
-	if scaleDelta := scaleChange(bin, bucket.startBin, len(bucket.counts), p.maxSize); scaleDelta > 0 {
+	if scaleDelta := p.scaleChange(bin, bucket.startBin, len(bucket.counts)); scaleDelta > 0 {
 		if p.scale-scaleDelta < expoMinScale {
 			// With a scale of -10 there is only two buckets for the whole range of float64 values.
 			// This can only happen if there is a max size of 1.
@@ -123,17 +123,16 @@ func (p *expoHistogramDataPoint[N]) record(v N) {
 		p.posBuckets.downscale(scaleDelta)
 		p.negBuckets.downscale(scaleDelta)
 
-		bin = getBin(absV, p.scale)
+		bin = p.getBin(absV)
 	}
 
 	bucket.record(bin)
 }
 
-// getBin returns the bin of the bucket that the value v should be recorded
-// into at the given scale.
-func getBin(v float64, scale int) int {
+// getBin returns the bin v should be recorded into.
+func (p *expoHistogramDataPoint[N]) getBin(v float64) int {
 	frac, exp := math.Frexp(v)
-	if scale <= 0 {
+	if p.scale <= 0 {
 		// Because of the choice of fraction is always 1 power of two higher than we want.
 		correction := 1
 		if frac == .5 {
@@ -141,9 +140,9 @@ func getBin(v float64, scale int) int {
 			// will be one higher than we want.
 			correction = 2
 		}
-		return (exp - correction) >> (-scale)
+		return (exp - correction) >> (-p.scale)
 	}
-	return exp<<scale + int(math.Log(frac)*scaleFactors[scale]) - 1
+	return exp<<p.scale + int(math.Log(frac)*scaleFactors[p.scale]) - 1
 }
 
 // scaleFactors are constants used in calculating the logarithm index. They are
@@ -172,8 +171,9 @@ var scaleFactors = [21]float64{
 	math.Ldexp(math.Log2E, 20),
 }
 
-// scaleChange returns the magnitude of the scale change needed to fit bin in the bucket.
-func scaleChange(bin, startBin, length, maxSize int) int {
+// scaleChange returns the magnitude of the scale change needed to fit bin in
+// the bucket. If no scale change is needed 0 is returned.
+func (p *expoHistogramDataPoint[N]) scaleChange(bin, startBin, length int) int {
 	if length == 0 {
 		// No need to rescale if there are no buckets.
 		return 0
@@ -187,7 +187,7 @@ func scaleChange(bin, startBin, length, maxSize int) int {
 	}
 
 	count := 0
-	for high-low >= maxSize {
+	for high-low >= p.maxSize {
 		low = low >> 1
 		high = high >> 1
 		count++
diff --git a/sdk/metric/internal/aggregate/exponential_histogram_test.go b/sdk/metric/internal/aggregate/exponential_histogram_test.go
index 4209ffd651d..040370d4729 100644
--- a/sdk/metric/internal/aggregate/exponential_histogram_test.go
+++ b/sdk/metric/internal/aggregate/exponential_histogram_test.go
@@ -655,7 +655,8 @@ func TestScaleChange(t *testing.T) {
 	}
 	for _, tt := range tests {
 		t.Run(tt.name, func(t *testing.T) {
-			got := scaleChange(tt.args.bin, tt.args.startBin, tt.args.length, tt.args.maxSize)
+			p := newExpoHistogramDataPoint[float64](tt.args.maxSize, 20, false, false)
+			got := p.scaleChange(tt.args.bin, tt.args.startBin, tt.args.length)
 			if got != tt.want {
 				t.Errorf("scaleChange() = %v, want %v", got, tt.want)
 			}
@@ -927,15 +928,15 @@ func FuzzGetBin(f *testing.F) {
 			t.Skip("skipping test for zero")
 		}
 
-		// GetBin is only used with a range of -10 to 20.
-		scale = (scale%31+31)%31 - 10
-
-		got := getBin(v, scale)
-		if v <= lowerBound(got, scale) {
-			t.Errorf("v=%x scale =%d had bin %d, but was below lower bound %x", v, scale, got, lowerBound(got, scale))
+		p := newExpoHistogramDataPoint[float64](4, 20, false, false)
+		// scale range is -10 to 20.
+		p.scale = (scale%31+31)%31 - 10
+		got := p.getBin(v)
+		if v <= lowerBound(got, p.scale) {
+			t.Errorf("v=%x scale =%d had bin %d, but was below lower bound %x", v, p.scale, got, lowerBound(got, p.scale))
 		}
-		if v > lowerBound(got+1, scale) {
-			t.Errorf("v=%x scale =%d had bin %d, but was above upper bound %x", v, scale, got, lowerBound(got+1, scale))
+		if v > lowerBound(got+1, p.scale) {
+			t.Errorf("v=%x scale =%d had bin %d, but was above upper bound %x", v, p.scale, got, lowerBound(got+1, p.scale))
 		}
 	})
 }