diff --git a/changelog.d/20231117_132419_andrey_fix_analytics.md b/changelog.d/20231117_132419_andrey_fix_analytics.md
new file mode 100644
index 000000000000..aeb4f6ee8a5f
--- /dev/null
+++ b/changelog.d/20231117_132419_andrey_fix_analytics.md
@@ -0,0 +1,4 @@
+### Fixed
+
+- Fixed calculation of annotation speed metrics for analytics reports
+  (<https://github.com/opencv/cvat/pull/7144>)
diff --git a/cvat/apps/analytics_report/migrations/0002_fix_annotation_speed.py b/cvat/apps/analytics_report/migrations/0002_fix_annotation_speed.py
new file mode 100644
index 000000000000..7137dee1ca2c
--- /dev/null
+++ b/cvat/apps/analytics_report/migrations/0002_fix_annotation_speed.py
@@ -0,0 +1,49 @@
+# Generated by Django 4.2.11 on 2024-05-10 06:00
+
+from django.db import migrations
+
+
+def upgrade_report(report):
+    statistics = [stat for stat in report.statistics if stat["name"] == "annotation_speed"]
+    modified = False
+
+    for statistic in statistics:
+        if len(statistic["data_series"]["object_count"]) > 2:
+            records_1 = list(reversed(statistic["data_series"]["object_count"]))
+            records_2 = records_1[1:]
+            for next_item, prev_item in zip(records_1, records_2):
+                next_item["value"] += prev_item["value"]
+            previous_count = 0
+            for item in statistic["data_series"]["object_count"]:
+                item["value"] -= previous_count
+                previous_count += item["value"]
+            modified = True
+
+    return report if modified else None
+
+
+def forwards_func(apps, schema_editor):
+    AnalyticsReport = apps.get_model("analytics_report", "AnalyticsReport")
+
+    # first upgrade all reports, related to jobs
+    reports = AnalyticsReport.objects.exclude(job_id=None).all()
+    objects_to_update = []
+    for report in reports:
+        try:
+            objects_to_update.append(upgrade_report(report))
+        except Exception:  # nosec B110
+            # I do not expect exception to happen here
+            # but if it happened, let's just ignore the report
+            pass
+
+    objects_to_update = list(filter(lambda x: x is not None, objects_to_update))
+    AnalyticsReport.objects.bulk_update(objects_to_update, fields=["statistics"], batch_size=500)
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ("analytics_report", "0001_initial"),
+    ]
+
+    operations = [migrations.RunPython(forwards_func)]
diff --git a/cvat/apps/analytics_report/report/primary_metrics/annotation_speed.py b/cvat/apps/analytics_report/report/primary_metrics/annotation_speed.py
index b71188b38286..b8fee1465948 100644
--- a/cvat/apps/analytics_report/report/primary_metrics/annotation_speed.py
+++ b/cvat/apps/analytics_report/report/primary_metrics/annotation_speed.py
@@ -137,27 +137,24 @@ def get_track_count():
             if statistics is not None:
                 data_series = deepcopy(statistics["data_series"])
 
-        last_entry_count = 0
+        previous_count = 0
         if data_series["object_count"]:
-            last_entry = data_series["object_count"][-1]
-            last_entry_timestamp = parser.parse(last_entry["datetime"])
+            last_entry_timestamp = parser.parse(data_series["object_count"][-1]["datetime"])
 
             if last_entry_timestamp.date() == timestamp.date():
                 # remove last entry, it will be re-calculated below, because of the same date
                 data_series["object_count"] = data_series["object_count"][:-1]
                 data_series["working_time"] = data_series["working_time"][:-1]
 
-                if len(data_series["object_count"]):
-                    current_last_entry = data_series["object_count"][-1]
-                    start_datetime = parser.parse(current_last_entry["datetime"])
-                    last_entry_count = current_last_entry["value"]
-            else:
-                last_entry_count = last_entry["value"]
-                start_datetime = parser.parse(last_entry["datetime"])
+            for entry in data_series["object_count"]:
+                previous_count += entry["value"]
+
+            if data_series["object_count"]:
+                start_datetime = parser.parse(data_series["object_count"][-1]["datetime"])
 
         data_series["object_count"].append(
             {
-                "value": object_count - last_entry_count,
+                "value": object_count - previous_count,
                 "datetime": timestamp_str,
             }
         )