diff --git a/homeassistant/components/statistics/sensor.py b/homeassistant/components/statistics/sensor.py
index cfc093c7762..55a225eebb8 100644
--- a/homeassistant/components/statistics/sensor.py
+++ b/homeassistant/components/statistics/sensor.py
@@ -78,7 +78,7 @@ STAT_DISTANCE_ABSOLUTE = "distance_absolute"
 STAT_MEAN = "mean"
 STAT_MEDIAN = "median"
 STAT_NOISINESS = "noisiness"
-STAT_QUANTILES = "quantiles"
+STAT_PERCENTILE = "percentile"
 STAT_STANDARD_DEVIATION = "standard_deviation"
 STAT_SUM = "sum"
 STAT_SUM_DIFFERENCES = "sum_differences"
@@ -107,7 +107,7 @@ STATS_NUMERIC_SUPPORT = {
     STAT_MEAN,
     STAT_MEDIAN,
     STAT_NOISINESS,
-    STAT_QUANTILES,
+    STAT_PERCENTILE,
     STAT_STANDARD_DEVIATION,
     STAT_SUM,
     STAT_SUM_DIFFERENCES,
@@ -135,7 +135,6 @@ STATS_NOT_A_NUMBER = {
     STAT_DATETIME_OLDEST,
     STAT_DATETIME_VALUE_MAX,
     STAT_DATETIME_VALUE_MIN,
-    STAT_QUANTILES,
 }
 
 STATS_DATETIME = {
@@ -157,6 +156,7 @@ STAT_NUMERIC_RETAIN_UNIT = {
     STAT_MEAN,
     STAT_MEDIAN,
     STAT_NOISINESS,
+    STAT_PERCENTILE,
     STAT_STANDARD_DEVIATION,
     STAT_SUM,
     STAT_SUM_DIFFERENCES,
@@ -177,13 +177,10 @@ CONF_STATE_CHARACTERISTIC = "state_characteristic"
 CONF_SAMPLES_MAX_BUFFER_SIZE = "sampling_size"
 CONF_MAX_AGE = "max_age"
 CONF_PRECISION = "precision"
-CONF_QUANTILE_INTERVALS = "quantile_intervals"
-CONF_QUANTILE_METHOD = "quantile_method"
+CONF_PERCENTILE = "percentile"
 
 DEFAULT_NAME = "Stats"
 DEFAULT_PRECISION = 2
-DEFAULT_QUANTILE_INTERVALS = 4
-DEFAULT_QUANTILE_METHOD = "exclusive"
 ICON = "mdi:calculator"
 
 
@@ -248,11 +245,8 @@ _PLATFORM_SCHEMA_BASE = PLATFORM_SCHEMA.extend(
         vol.Optional(CONF_SAMPLES_MAX_BUFFER_SIZE): vol.Coerce(int),
         vol.Optional(CONF_MAX_AGE): cv.time_period,
         vol.Optional(CONF_PRECISION, default=DEFAULT_PRECISION): vol.Coerce(int),
-        vol.Optional(
-            CONF_QUANTILE_INTERVALS, default=DEFAULT_QUANTILE_INTERVALS
-        ): vol.All(vol.Coerce(int), vol.Range(min=2)),
-        vol.Optional(CONF_QUANTILE_METHOD, default=DEFAULT_QUANTILE_METHOD): vol.In(
-            ["exclusive", "inclusive"]
+        vol.Optional(CONF_PERCENTILE, default=50): vol.All(
+            vol.Coerce(int), vol.Range(min=1, max=99)
         ),
     }
 )
@@ -283,8 +277,7 @@ async def async_setup_platform(
                 samples_max_buffer_size=config[CONF_SAMPLES_MAX_BUFFER_SIZE],
                 samples_max_age=config.get(CONF_MAX_AGE),
                 precision=config[CONF_PRECISION],
-                quantile_intervals=config[CONF_QUANTILE_INTERVALS],
-                quantile_method=config[CONF_QUANTILE_METHOD],
+                percentile=config[CONF_PERCENTILE],
             )
         ],
         update_before_add=True,
@@ -303,8 +296,7 @@ class StatisticsSensor(SensorEntity):
         samples_max_buffer_size: int,
         samples_max_age: timedelta | None,
         precision: int,
-        quantile_intervals: int,
-        quantile_method: Literal["exclusive", "inclusive"],
+        percentile: int,
     ) -> None:
         """Initialize the Statistics sensor."""
         self._attr_icon: str = ICON
@@ -319,8 +311,7 @@ class StatisticsSensor(SensorEntity):
         self._samples_max_buffer_size: int = samples_max_buffer_size
         self._samples_max_age: timedelta | None = samples_max_age
         self._precision: int = precision
-        self._quantile_intervals: int = quantile_intervals
-        self._quantile_method: Literal["exclusive", "inclusive"] = quantile_method
+        self._percentile: int = percentile
         self._value: StateType | datetime = None
         self._unit_of_measurement: str | None = None
         self._available: bool = False
@@ -700,18 +691,10 @@ class StatisticsSensor(SensorEntity):
             return cast(float, self._stat_sum_differences()) / (len(self.states) - 1)
         return None
 
-    def _stat_quantiles(self) -> StateType:
-        if len(self.states) > self._quantile_intervals:
-            return str(
-                [
-                    round(quantile, self._precision)
-                    for quantile in statistics.quantiles(
-                        self.states,
-                        n=self._quantile_intervals,
-                        method=self._quantile_method,
-                    )
-                ]
-            )
+    def _stat_percentile(self) -> StateType:
+        if len(self.states) >= 2:
+            percentiles = statistics.quantiles(self.states, n=100, method="exclusive")
+            return percentiles[self._percentile - 1]
         return None
 
     def _stat_standard_deviation(self) -> StateType:
diff --git a/tests/components/statistics/test_sensor.py b/tests/components/statistics/test_sensor.py
index 691159fe2fc..be771d8be88 100644
--- a/tests/components/statistics/test_sensor.py
+++ b/tests/components/statistics/test_sensor.py
@@ -391,7 +391,7 @@ async def test_age_limit_expiry(hass: HomeAssistant):
 
 
 async def test_precision(hass: HomeAssistant):
-    """Test correct result with precision set."""
+    """Test correct results with precision set."""
     assert await async_setup_component(
         hass,
         "sensor",
@@ -433,6 +433,60 @@ async def test_precision(hass: HomeAssistant):
     assert state.state == str(round(mean, 3))
 
 
+async def test_percentile(hass: HomeAssistant):
+    """Test correct results for percentile characteristic."""
+    assert await async_setup_component(
+        hass,
+        "sensor",
+        {
+            "sensor": [
+                {
+                    "platform": "statistics",
+                    "name": "test_percentile_omitted",
+                    "entity_id": "sensor.test_monitored",
+                    "state_characteristic": "percentile",
+                    "sampling_size": 20,
+                },
+                {
+                    "platform": "statistics",
+                    "name": "test_percentile_default",
+                    "entity_id": "sensor.test_monitored",
+                    "state_characteristic": "percentile",
+                    "sampling_size": 20,
+                    "percentile": 50,
+                },
+                {
+                    "platform": "statistics",
+                    "name": "test_percentile_min",
+                    "entity_id": "sensor.test_monitored",
+                    "state_characteristic": "percentile",
+                    "sampling_size": 20,
+                    "percentile": 1,
+                },
+            ]
+        },
+    )
+    await hass.async_block_till_done()
+
+    for value in VALUES_NUMERIC:
+        hass.states.async_set(
+            "sensor.test_monitored",
+            str(value),
+            {ATTR_UNIT_OF_MEASUREMENT: TEMP_CELSIUS},
+        )
+    await hass.async_block_till_done()
+
+    state = hass.states.get("sensor.test_percentile_omitted")
+    assert state is not None
+    assert state.state == str(9.2)
+    state = hass.states.get("sensor.test_percentile_default")
+    assert state is not None
+    assert state.state == str(9.2)
+    state = hass.states.get("sensor.test_percentile_min")
+    assert state is not None
+    assert state.state == str(2.72)
+
+
 async def test_device_class(hass: HomeAssistant):
     """Test device class, which depends on the source entity."""
     assert await async_setup_component(
@@ -753,13 +807,11 @@ async def test_state_characteristics(hass: HomeAssistant):
         },
         {
             "source_sensor_domain": "sensor",
-            "name": "quantiles",
+            "name": "percentile",
             "value_0": STATE_UNKNOWN,
             "value_1": STATE_UNKNOWN,
-            "value_9": [
-                round(quantile, 2) for quantile in statistics.quantiles(VALUES_NUMERIC)
-            ],
-            "unit": None,
+            "value_9": 9.2,
+            "unit": "°C",
         },
         {
             "source_sensor_domain": "sensor",