diff --git a/spark/common/src/main/scala/org/apache/spark/sql/execution/datasources/geoparquet/GeoParquetFileFormat.scala b/spark/common/src/main/scala/org/apache/spark/sql/execution/datasources/geoparquet/GeoParquetFileFormat.scala
index 8a5c2c19a0f..db0f1dd8649 100644
--- a/spark/common/src/main/scala/org/apache/spark/sql/execution/datasources/geoparquet/GeoParquetFileFormat.scala
+++ b/spark/common/src/main/scala/org/apache/spark/sql/execution/datasources/geoparquet/GeoParquetFileFormat.scala
@@ -273,6 +273,21 @@ class GeoParquetFileFormat(val spatialFilter: Option[GeoParquetSpatialFilter])
         None
       }
 
+      // Spatial filters that translate to Parquet row-group predicates (e.g. Box2D bounds
+      // comparisons on a Box2D-typed column) are AND'd into the pushed-down filter so Parquet
+      // can skip row groups whose column statistics disprove them. Gated on the same Spark
+      // SQL flag as ordinary Parquet pushdown so disabling `spark.sql.parquet.filterPushdown`
+      // also disables Sedona-injected row-group predicates.
+      val combinedPushed = if (enableParquetFilterPushDown) {
+        spatialFilter.flatMap(_.toParquetFilter) match {
+          case Some(spatialPredicate) =>
+            Some(pushed.fold(spatialPredicate)(p => FilterApi.and(p, spatialPredicate)))
+          case None => pushed
+        }
+      } else {
+        pushed
+      }
+
       // Prune file scans using pushed down spatial filters and per-column bboxes in geoparquet metadata
       val shouldScanFile =
         GeoParquetMetaData.parseKeyValueMetaData(footerFileMetaData.getKeyValueMetaData).forall {
@@ -304,8 +319,10 @@ class GeoParquetFileFormat(val spatialFilter: Option[GeoParquetSpatialFilter])
 
         // Try to push down filters when filter push-down is enabled.
         // Notice: This push-down is RowGroups level, not individual records.
-        if (pushed.isDefined) {
-          ParquetInputFormat.setFilterPredicate(hadoopAttemptContext.getConfiguration, pushed.get)
+        if (combinedPushed.isDefined) {
+          ParquetInputFormat.setFilterPredicate(
+            hadoopAttemptContext.getConfiguration,
+            combinedPushed.get)
         }
         if (enableVectorizedReader) {
           logWarning(
@@ -319,8 +336,8 @@ class GeoParquetFileFormat(val spatialFilter: Option[GeoParquetSpatialFilter])
           datetimeRebaseSpec,
           int96RebaseSpec,
           options)
-        val reader = if (pushed.isDefined && enableRecordFilter) {
-          val parquetFilter = FilterCompat.get(pushed.get, null)
+        val reader = if (combinedPushed.isDefined && enableRecordFilter) {
+          val parquetFilter = FilterCompat.get(combinedPushed.get, null)
           new ParquetRecordReader[InternalRow](readSupport, parquetFilter)
         } else {
           new ParquetRecordReader[InternalRow](readSupport)
diff --git a/spark/common/src/main/scala/org/apache/spark/sql/execution/datasources/geoparquet/GeoParquetSpatialFilter.scala b/spark/common/src/main/scala/org/apache/spark/sql/execution/datasources/geoparquet/GeoParquetSpatialFilter.scala
index cacc64d94b4..65e4437b8a8 100644
--- a/spark/common/src/main/scala/org/apache/spark/sql/execution/datasources/geoparquet/GeoParquetSpatialFilter.scala
+++ b/spark/common/src/main/scala/org/apache/spark/sql/execution/datasources/geoparquet/GeoParquetSpatialFilter.scala
@@ -18,6 +18,8 @@
  */
 package org.apache.spark.sql.execution.datasources.geoparquet
 
+import org.apache.parquet.filter2.predicate.{FilterApi, FilterPredicate}
+import org.apache.sedona.common.geometryObjects.Box2D
 import org.apache.sedona.core.spatialOperator.SpatialPredicate
 import org.locationtech.jts.geom.Envelope
 import org.locationtech.jts.geom.Geometry
@@ -28,7 +30,21 @@ import org.locationtech.jts.geom.Geometry
  * [[org.apache.spark.sql.sedona_sql.optimization.SpatialFilterPushDownForGeoParquet]].
  */
 trait GeoParquetSpatialFilter {
+
+  /**
+   * File-level evaluation against GeoParquet column metadata. Used for cheap whole-file pruning
+   * before reading row-group statistics. Filters that cannot soundly prune at the file metadata
+   * level should return `true` here and emit their pruning predicate via [[toParquetFilter]].
+   */
   def evaluate(columns: Map[String, GeometryFieldMetaData]): Boolean
+
+  /**
+   * Translate this spatial filter into a Parquet [[FilterPredicate]] that the Parquet reader can
+   * evaluate against row-group statistics. Returns `None` if the filter cannot be expressed as a
+   * Parquet predicate (e.g. arbitrary JTS predicates on a geometry column).
+   */
+  def toParquetFilter: Option[FilterPredicate] = None
+
   def simpleString: String
 }
 
@@ -40,6 +56,14 @@ object GeoParquetSpatialFilter {
       left.evaluate(columns) && right.evaluate(columns)
     }
 
+    override def toParquetFilter: Option[FilterPredicate] =
+      (left.toParquetFilter, right.toParquetFilter) match {
+        case (Some(l), Some(r)) => Some(FilterApi.and(l, r))
+        case (Some(l), None) => Some(l)
+        case (None, Some(r)) => Some(r)
+        case _ => None
+      }
+
     override def simpleString: String = s"(${left.simpleString}) AND (${right.simpleString})"
   }
 
@@ -47,6 +71,14 @@ object GeoParquetSpatialFilter {
       extends GeoParquetSpatialFilter {
     override def evaluate(columns: Map[String, GeometryFieldMetaData]): Boolean =
       left.evaluate(columns) || right.evaluate(columns)
+
+    // OR pushdown to Parquet requires both sides translate; otherwise we'd drop matching rows.
+    override def toParquetFilter: Option[FilterPredicate] =
+      for {
+        l <- left.toParquetFilter
+        r <- right.toParquetFilter
+      } yield FilterApi.or(l, r)
+
     override def simpleString: String = s"(${left.simpleString}) OR (${right.simpleString})"
   }
 
@@ -88,4 +120,87 @@ object GeoParquetSpatialFilter {
     }
     override def simpleString: String = s"$columnName ${predicateType.name} $queryWindow"
   }
+
+  /**
+   * Semantic kind of a Box2D leaf predicate. Determines which inequality system is emitted as a
+   * Parquet filter against the four (xmin, ymin, xmax, ymax) leaf columns of a Box2D-typed
+   * column.
+   */
+  sealed trait Box2DPredicateKind {
+    def simpleName: String
+  }
+  object Box2DPredicateKind {
+
+    /** `ST_BoxIntersects(box_col, lit)` — symmetric, same regardless of argument order. */
+    case object Intersects extends Box2DPredicateKind {
+      override def simpleName: String = "INTERSECTS"
+    }
+
+    /** `ST_BoxContains(box_col, lit)` — the column box must contain the literal box. */
+    case object ColumnContainsLiteral extends Box2DPredicateKind {
+      override def simpleName: String = "CONTAINS"
+    }
+
+    /** `ST_BoxContains(lit, box_col)` — the literal box must contain the column box. */
+    case object LiteralContainsColumn extends Box2DPredicateKind {
+      override def simpleName: String = "CONTAINED_BY"
+    }
+  }
+
+  /**
+   * Pushdown filter for predicates that operate on a Box2D-typed column (e.g.
+   * `ST_BoxIntersects(box_col, lit_box)` or `ST_BoxContains(box_col, lit_box)`).
+   *
+   * Pruning is performed by translating the predicate into per-leaf inequalities on the Box2D
+   * column's four `Double` fields (`xmin`, `ymin`, `xmax`, `ymax`) and pushing the result down as
+   * a Parquet [[FilterPredicate]]. Parquet's row-group statistics machinery then skips row groups
+   * whose per-column min/max bounds disprove the predicate.
+   *
+   * File-metadata evaluation returns `true` (i.e. don't prune at the GeoParquet metadata layer)
+   * because that path relied on the geometry column's bbox and is unsound when the GeoParquet 1.1
+   * spec permits coverings to be conservatively wider than per-row envelopes. The Parquet-stats
+   * path uses the Box2D column's actual recorded min/max, so it is sound for any writer.
+   */
+  case class Box2DLeafFilter(
+      box2dColumnName: String,
+      predicateKind: Box2DPredicateKind,
+      queryBox: Box2D)
+      extends GeoParquetSpatialFilter {
+
+    override def evaluate(columns: Map[String, GeometryFieldMetaData]): Boolean = true
+
+    override def toParquetFilter: Option[FilterPredicate] = {
+      val xmin = FilterApi.doubleColumn(s"$box2dColumnName.xmin")
+      val ymin = FilterApi.doubleColumn(s"$box2dColumnName.ymin")
+      val xmax = FilterApi.doubleColumn(s"$box2dColumnName.xmax")
+      val ymax = FilterApi.doubleColumn(s"$box2dColumnName.ymax")
+      val qxMin = java.lang.Double.valueOf(queryBox.getXMin)
+      val qyMin = java.lang.Double.valueOf(queryBox.getYMin)
+      val qxMax = java.lang.Double.valueOf(queryBox.getXMax)
+      val qyMax = java.lang.Double.valueOf(queryBox.getYMax)
+
+      val predicate = predicateKind match {
+        case Box2DPredicateKind.Intersects =>
+          // Intersection: row's xmax >= lit.xmin && xmin <= lit.xmax && ymax >= lit.ymin && ymin <= lit.ymax
+          FilterApi.and(
+            FilterApi.and(FilterApi.gtEq(xmax, qxMin), FilterApi.ltEq(xmin, qxMax)),
+            FilterApi.and(FilterApi.gtEq(ymax, qyMin), FilterApi.ltEq(ymin, qyMax)))
+        case Box2DPredicateKind.ColumnContainsLiteral =>
+          // Column contains literal: row's xmin <= lit.xmin && xmax >= lit.xmax && ymin <= lit.ymin && ymax >= lit.ymax
+          FilterApi.and(
+            FilterApi.and(FilterApi.ltEq(xmin, qxMin), FilterApi.gtEq(xmax, qxMax)),
+            FilterApi.and(FilterApi.ltEq(ymin, qyMin), FilterApi.gtEq(ymax, qyMax)))
+        case Box2DPredicateKind.LiteralContainsColumn =>
+          // Literal contains column: row's xmin >= lit.xmin && xmax <= lit.xmax && ymin >= lit.ymin && ymax <= lit.ymax
+          FilterApi.and(
+            FilterApi.and(FilterApi.gtEq(xmin, qxMin), FilterApi.ltEq(xmax, qxMax)),
+            FilterApi.and(FilterApi.gtEq(ymin, qyMin), FilterApi.ltEq(ymax, qyMax)))
+      }
+      Some(predicate)
+    }
+
+    override def simpleString: String =
+      s"$box2dColumnName ${predicateKind.simpleName} BOX(${queryBox.getXMin} ${queryBox.getYMin}, " +
+        s"${queryBox.getXMax} ${queryBox.getYMax})"
+  }
 }
diff --git a/spark/common/src/main/scala/org/apache/spark/sql/sedona_sql/optimization/SpatialFilterPushDownForGeoParquet.scala b/spark/common/src/main/scala/org/apache/spark/sql/sedona_sql/optimization/SpatialFilterPushDownForGeoParquet.scala
index 7c8fefca473..31ccea3de6d 100644
--- a/spark/common/src/main/scala/org/apache/spark/sql/sedona_sql/optimization/SpatialFilterPushDownForGeoParquet.scala
+++ b/spark/common/src/main/scala/org/apache/spark/sql/sedona_sql/optimization/SpatialFilterPushDownForGeoParquet.scala
@@ -18,6 +18,7 @@
  */
 package org.apache.spark.sql.sedona_sql.optimization
 
+import org.apache.sedona.common.geometryObjects.Box2D
 import org.apache.sedona.common.sphere.Haversine
 import org.apache.sedona.core.spatialOperator.SpatialPredicate
 import org.apache.sedona.sql.utils.GeometrySerializer
@@ -42,10 +43,13 @@ import org.apache.spark.sql.execution.datasources.PushableColumnBase
 import org.apache.spark.sql.execution.datasources.geoparquet.GeoParquetFileFormatBase
 import org.apache.spark.sql.execution.datasources.geoparquet.GeoParquetSpatialFilter
 import org.apache.spark.sql.execution.datasources.geoparquet.GeoParquetSpatialFilter.AndFilter
+import org.apache.spark.sql.execution.datasources.geoparquet.GeoParquetSpatialFilter.Box2DLeafFilter
+import org.apache.spark.sql.execution.datasources.geoparquet.GeoParquetSpatialFilter.Box2DPredicateKind
 import org.apache.spark.sql.execution.datasources.geoparquet.GeoParquetSpatialFilter.LeafFilter
 import org.apache.spark.sql.execution.datasources.geoparquet.GeoParquetSpatialFilter.OrFilter
+import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.sedona_sql.UDT.GeometryUDT
-import org.apache.spark.sql.sedona_sql.expressions.{ST_AsEWKT, ST_Buffer, ST_Contains, ST_CoveredBy, ST_Covers, ST_Crosses, ST_DWithin, ST_Distance, ST_DistanceSphere, ST_DistanceSpheroid, ST_Equals, ST_Intersects, ST_OrderingEquals, ST_Overlaps, ST_Touches, ST_Within}
+import org.apache.spark.sql.sedona_sql.expressions.{ST_AsEWKT, ST_BoxContains, ST_BoxIntersects, ST_Buffer, ST_Contains, ST_CoveredBy, ST_Covers, ST_Crosses, ST_DWithin, ST_Distance, ST_DistanceSphere, ST_DistanceSpheroid, ST_Equals, ST_Intersects, ST_OrderingEquals, ST_Overlaps, ST_Touches, ST_Within}
 import org.apache.spark.sql.sedona_sql.optimization.ExpressionUtils.splitConjunctivePredicates
 import org.apache.spark.sql.types.DoubleType
 import org.locationtech.jts.geom.Geometry
@@ -144,6 +148,24 @@ class SpatialFilterPushDownForGeoParquet(sparkSession: SparkSession) extends Rul
             SpatialPredicate.INTERSECTS,
             GeometryUDT.deserialize(value))
 
+      // Box2D predicates push down as Parquet row-group filters on the Box2D column's underlying
+      // (xmin, ymin, xmax, ymax) double leaves. Pruning is done by Parquet's stats-based skipping
+      // against the column's recorded min/max, which is sound regardless of how the writer chose
+      // the per-row Box2D values.
+      case ST_BoxIntersects(_) =>
+        // Intersects is symmetric — both argument orders produce the same predicate.
+        for {
+          (name, value) <- resolveNameAndLiteral(predicate.children, pushableColumn)
+          queryBox <- extractBox2DLiteral(value)
+        } yield Box2DLeafFilter(unquote(name), Box2DPredicateKind.Intersects, queryBox)
+
+      case ST_BoxContains(Seq(pushableColumn(name), Literal(v, _))) =>
+        extractBox2DLiteral(v).map(qb =>
+          Box2DLeafFilter(unquote(name), Box2DPredicateKind.ColumnContainsLiteral, qb))
+      case ST_BoxContains(Seq(Literal(v, _), pushableColumn(name))) =>
+        extractBox2DLiteral(v).map(qb =>
+          Box2DLeafFilter(unquote(name), Box2DPredicateKind.LiteralContainsColumn, qb))
+
       case LessThan(ST_Distance(distArgs), Literal(d, DoubleType)) =>
         for ((name, value) <- resolveNameAndLiteral(distArgs, pushableColumn))
           yield distanceFilter(name, GeometryUDT.deserialize(value), d.asInstanceOf[Double])
@@ -256,6 +278,24 @@ class SpatialFilterPushDownForGeoParquet(sparkSession: SparkSession) extends Rul
     parseColumnPath(name).mkString(".")
   }
 
+  /**
+   * Extract a [[Box2D]] from a Catalyst literal value. Box2DUDT serializes to an InternalRow of
+   * four doubles; if the value is something else, the predicate is not pushable. Inverted bounds
+   * (xmin>xmax or ymin>ymax) are rejected here so the predicate falls back to runtime evaluation
+   * and surfaces the expected IllegalArgumentException — pushing them through Parquet would
+   * silently prune all matching rows before the throw fires.
+   */
+  private def extractBox2DLiteral(value: Any): Option[Box2D] = value match {
+    case row: InternalRow if row.numFields == 4 =>
+      val xmin = row.getDouble(0)
+      val ymin = row.getDouble(1)
+      val xmax = row.getDouble(2)
+      val ymax = row.getDouble(3)
+      if (xmin > xmax || ymin > ymax) None
+      else Some(new Box2D(xmin, ymin, xmax, ymax))
+    case _ => None
+  }
+
   private def resolveNameAndLiteral(
       expressions: Seq[Expression],
       pushableColumn: PushableColumnBase): Option[(String, Any)] = {
diff --git a/spark/common/src/test/scala/org/apache/sedona/sql/GeoParquetSpatialFilterPushDownSuite.scala b/spark/common/src/test/scala/org/apache/sedona/sql/GeoParquetSpatialFilterPushDownSuite.scala
index 2f37488d1a5..9eec5b7070f 100644
--- a/spark/common/src/test/scala/org/apache/sedona/sql/GeoParquetSpatialFilterPushDownSuite.scala
+++ b/spark/common/src/test/scala/org/apache/sedona/sql/GeoParquetSpatialFilterPushDownSuite.scala
@@ -30,6 +30,7 @@ import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.execution.FileSourceScanExec
 import org.apache.spark.sql.execution.SimpleMode
 import org.apache.spark.sql.execution.datasources.geoparquet.{GeoParquetFileFormat, GeoParquetMetaData, GeoParquetSpatialFilter}
+import org.apache.spark.sql.functions.expr
 import org.locationtech.jts.geom.Coordinate
 import org.locationtech.jts.geom.Geometry
 import org.locationtech.jts.geom.GeometryFactory
@@ -317,6 +318,114 @@ class GeoParquetSpatialFilterPushDownSuite extends TestBaseScala with TableDrive
         assert(getPushedDownSpatialFilter(dfFiltered).isEmpty)
       }
     }
+
+    it("Push down ST_BoxIntersects against a Box2D column") {
+      val (box2dDf, box2dDir) = setupBox2DCoveringFixture()
+      try {
+        // Q1 region only (region 1, center +10/+10)
+        val q1Filter =
+          "ST_BoxIntersects(geom_bbox, ST_MakeBox2D(ST_Point(5.0, 5.0), ST_Point(15.0, 15.0)))"
+        verifyBox2DFilter(box2dDf, q1Filter)
+
+        // Window covering Q2 and Q4 (negative X)
+        val leftHalfFilter =
+          "ST_BoxIntersects(geom_bbox, ST_MakeBox2D(ST_Point(-20.0, -20.0), ST_Point(-1.0, 20.0)))"
+        verifyBox2DFilter(box2dDf, leftHalfFilter)
+
+        // Disjoint window prunes everything
+        val disjointFilter =
+          "ST_BoxIntersects(geom_bbox, ST_MakeBox2D(ST_Point(100.0, 100.0), ST_Point(200.0, 200.0)))"
+        verifyBox2DFilter(box2dDf, disjointFilter)
+
+        // Reverse argument order: ST_BoxIntersects(lit, col) is symmetric.
+        val reversedFilter =
+          "ST_BoxIntersects(ST_MakeBox2D(ST_Point(5.0, 5.0), ST_Point(15.0, 15.0)), geom_bbox)"
+        verifyBox2DFilter(box2dDf, reversedFilter)
+      } finally {
+        FileUtils.deleteDirectory(new File(box2dDir).getParentFile)
+      }
+    }
+
+    it("ST_BoxIntersects with inverted-bound literal falls back to runtime throw") {
+      val (box2dDf, box2dDir) = setupBox2DCoveringFixture()
+      try {
+        // xmin > xmax: must not push down — otherwise Parquet's row-group filter could prune all
+        // matches and hide the expected IllegalArgumentException from the predicate's runtime
+        // evaluation.
+        val invertedFilter =
+          "ST_BoxIntersects(geom_bbox, ST_MakeBox2D(ST_Point(20.0, -20.0), ST_Point(-20.0, 20.0)))"
+        val dfFiltered = box2dDf.where(invertedFilter)
+        assert(
+          getPushedDownSpatialFilter(dfFiltered).isEmpty,
+          "Inverted-bound Box2D literal must not be pushed down")
+        val ex = intercept[Exception](dfFiltered.collect())
+        assert(
+          Iterator
+            .iterate(ex: Throwable)(_.getCause)
+            .takeWhile(_ != null)
+            .exists(_.isInstanceOf[IllegalArgumentException]),
+          s"Expected IllegalArgumentException in cause chain, got: $ex")
+      } finally {
+        FileUtils.deleteDirectory(new File(box2dDir).getParentFile)
+      }
+    }
+
+    it("Push down ST_BoxContains against a Box2D column") {
+      val (box2dDf, box2dDir) = setupBox2DCoveringFixture()
+      try {
+        // ST_BoxContains(box_col, lit_box) — the column box must contain the literal box. A tiny
+        // query inside Q1 is contained only by rows from region 1.
+        val containsFilter =
+          "ST_BoxContains(geom_bbox, ST_MakeBox2D(ST_Point(9.0, 9.0), ST_Point(10.0, 10.0)))"
+        verifyBox2DFilter(box2dDf, containsFilter)
+
+        // Reverse argument order: ST_BoxContains(lit_box, col) — the literal box must contain the
+        // column box. The 10x10 window in Q1 contains the 2x2 polygons centered at (5,5), (5,15),
+        // (15,5), (15,15) only partially; only rows whose envelopes lie entirely inside the window
+        // survive.
+        val reversedFilter =
+          "ST_BoxContains(ST_MakeBox2D(ST_Point(4.0, 4.0), ST_Point(16.0, 16.0)), geom_bbox)"
+        verifyBox2DFilter(box2dDf, reversedFilter)
+      } finally {
+        FileUtils.deleteDirectory(new File(box2dDir).getParentFile)
+      }
+    }
+  }
+
+  private def setupBox2DCoveringFixture(): (DataFrame, String) = {
+    val box2dParent =
+      Files.createTempDirectory("sedona_geoparquet_box2d_").toFile.getAbsolutePath
+    val box2dDir = box2dParent + "/data"
+    val withBox = df.withColumn("geom_bbox", expr("ST_Box2D(geom)"))
+    withBox.coalesce(1).write.partitionBy("region").format("geoparquet").save(box2dDir)
+    val box2dDf = sparkSession.read.format("geoparquet").load(box2dDir)
+    (box2dDf, box2dDir)
+  }
+
+  private def verifyBox2DFilter(box2dDf: DataFrame, condition: String): Unit = {
+    val dfFiltered = box2dDf.where(condition)
+
+    // Pushdown is attached and translates to a Parquet row-group filter.
+    val pushed = getPushedDownSpatialFilter(dfFiltered)
+    assert(pushed.isDefined, s"Expected spatial filter push-down for: $condition")
+    assert(
+      pushed.get.toParquetFilter.isDefined,
+      s"Expected a Parquet FilterPredicate for: $condition")
+
+    // Correctness: pushdown must not drop any matching rows. Compare against a run with the
+    // spatial filter rule disabled (so no Parquet predicate is injected from Sedona).
+    val expectedResult =
+      withConf(Map("spark.sedona.geoparquet.spatialFilterPushDown" -> "false")) {
+        box2dDf
+          .where(condition)
+          .orderBy("region", "id")
+          .select("region", "id")
+          .collect()
+          .toSeq
+      }
+    val actualResult =
+      dfFiltered.orderBy("region", "id").select("region", "id").collect().toSeq
+    assert(expectedResult == actualResult, s"Result mismatch under push-down for: $condition")
   }
 
   /**