diff --git a/sdk/metric/internal/aggregate/exponential_histogram.go b/sdk/metric/internal/aggregate/exponential_histogram.go
index 2aeba437894..51f31a227b6 100644
--- a/sdk/metric/internal/aggregate/exponential_histogram.go
+++ b/sdk/metric/internal/aggregate/exponential_histogram.go
@@ -45,6 +45,7 @@ type expoHistogramDataPoint[N int64 | float64] struct {
 	posBuckets expoBuckets
 	negBuckets expoBuckets
 	zeroCount  uint64
+	start      time.Time
 }
 
 func newExpoHistogramDataPoint[N int64 | float64](
@@ -68,6 +69,7 @@ func newExpoHistogramDataPoint[N int64 | float64](
 		noMinMax: noMinMax,
 		noSum:    noSum,
 		scale:    maxScale,
+		start:    now(),
 	}
 }
 
@@ -446,7 +448,7 @@ func (e *expoHistogram[N]) cumulative(
 	var i int
 	for _, val := range e.values {
 		hDPts[i].Attributes = val.attrs
-		hDPts[i].StartTime = e.start
+		hDPts[i].StartTime = val.start
 		hDPts[i].Time = t
 		hDPts[i].Count = val.count()
 		hDPts[i].Scale = val.scale
diff --git a/sdk/metric/internal/aggregate/histogram.go b/sdk/metric/internal/aggregate/histogram.go
index 421325fb728..73d0a248f03 100644
--- a/sdk/metric/internal/aggregate/histogram.go
+++ b/sdk/metric/internal/aggregate/histogram.go
@@ -29,6 +29,7 @@ type hotColdHistogramPoint[N int64 | float64] struct {
 
 	attrs attribute.Set
 	res   FilteredExemplarReservoir[N]
+	start time.Time
 }
 
 // histogramPointCounters contains only the atomic counter data, and is used by
@@ -242,7 +243,6 @@ func (s *deltaHistogram[N]) collect(
 type cumulativeHistogram[N int64 | float64] struct {
 	values limitedSyncMap
 
-	start    time.Time
 	noMinMax bool
 	noSum    bool
 	bounds   []float64
@@ -264,7 +264,6 @@ func newCumulativeHistogram[N int64 | float64](
 	b := slices.Clone(boundaries)
 	slices.Sort(b)
 	return &cumulativeHistogram[N]{
-		start:    now(),
 		noMinMax: noMinMax,
 		noSum:    noSum,
 		bounds:   b,
@@ -298,6 +297,7 @@ func (s *cumulativeHistogram[N]) measure(
 					counts: make([]atomic.Uint64, len(s.bounds)+1),
 				},
 			},
+			start: now(),
 		}
 		return hPt
 	}).(*hotColdHistogramPoint[N])
@@ -348,7 +348,7 @@ func (s *cumulativeHistogram[N]) collect(
 		count := val.hotColdPoint[readIdx].loadCountsInto(&bucketCounts)
 		newPt := metricdata.HistogramDataPoint[N]{
 			Attributes: val.attrs,
-			StartTime:  s.start,
+			StartTime:  val.start,
 			Time:       t,
 			Count:      count,
 			Bounds:     bounds,
diff --git a/sdk/metric/internal/aggregate/lastvalue.go b/sdk/metric/internal/aggregate/lastvalue.go
index 494864a91ef..26959402c03 100644
--- a/sdk/metric/internal/aggregate/lastvalue.go
+++ b/sdk/metric/internal/aggregate/lastvalue.go
@@ -16,6 +16,7 @@ type lastValuePoint[N int64 | float64] struct {
 	attrs attribute.Set
 	value atomicN[N]
 	res   FilteredExemplarReservoir[N]
+	start time.Time
 }
 
 // lastValue summarizes a set of measurements as the last one made.
@@ -34,6 +35,7 @@ func (s *lastValueMap[N]) measure(
 		return &lastValuePoint[N]{
 			res:   s.newRes(attr),
 			attrs: attr,
+			start: now(),
 		}
 	}).(*lastValuePoint[N])
 
@@ -128,7 +130,6 @@ func (s *deltaLastValue[N]) copyAndClearDpts(
 // cumulativeLastValue summarizes a set of measurements as the last one made.
 type cumulativeLastValue[N int64 | float64] struct {
 	lastValueMap[N]
-	start time.Time
 }
 
 func newCumulativeLastValue[N int64 | float64](
@@ -140,7 +141,6 @@ func newCumulativeLastValue[N int64 | float64](
 			values: limitedSyncMap{aggLimit: limit},
 			newRes: r,
 		},
-		start: now(),
 	}
 }
 
@@ -161,7 +161,7 @@ func (s *cumulativeLastValue[N]) collect(
 		v := value.(*lastValuePoint[N])
 		newPt := metricdata.DataPoint[N]{
 			Attributes: v.attrs,
-			StartTime:  s.start,
+			StartTime:  v.start,
 			Time:       t,
 			Value:      v.value.Load(),
 		}
diff --git a/sdk/metric/internal/aggregate/sum.go b/sdk/metric/internal/aggregate/sum.go
index 66cb68085fd..18806f3eb0b 100644
--- a/sdk/metric/internal/aggregate/sum.go
+++ b/sdk/metric/internal/aggregate/sum.go
@@ -15,6 +15,7 @@ type sumValue[N int64 | float64] struct {
 	n     atomicCounter[N]
 	res   FilteredExemplarReservoir[N]
 	attrs attribute.Set
+	start time.Time
 }
 
 type sumValueMap[N int64 | float64] struct {
@@ -32,6 +33,7 @@ func (s *sumValueMap[N]) measure(
 		return &sumValue[N]{
 			res:   s.newRes(attr),
 			attrs: attr,
+			start: now(),
 		}
 	}).(*sumValue[N])
 	sv.n.add(value)
@@ -129,7 +131,6 @@ func newCumulativeSum[N int64 | float64](
 ) *cumulativeSum[N] {
 	return &cumulativeSum[N]{
 		monotonic: monotonic,
-		start:     now(),
 		sumValueMap: sumValueMap[N]{
 			values: limitedSyncMap{aggLimit: limit},
 			newRes: r,
@@ -140,7 +141,6 @@ func newCumulativeSum[N int64 | float64](
 // deltaSum is the storage for sums which never reset.
 type cumulativeSum[N int64 | float64] struct {
 	monotonic bool
-	start     time.Time
 
 	sumValueMap[N]
 }
@@ -165,7 +165,7 @@ func (s *cumulativeSum[N]) collect(
 		val := value.(*sumValue[N])
 		newPt := metricdata.DataPoint[N]{
 			Attributes: val.attrs,
-			StartTime:  s.start,
+			StartTime:  val.start,
 			Time:       t,
 			Value:      val.n.load(),
 		}