diff --git a/asv_bench/benchmarks/benchmarks.py b/asv_bench/benchmarks/benchmarks.py
index 33f597cefdf..74f798cd603 100644
--- a/asv_bench/benchmarks/benchmarks.py
+++ b/asv_bench/benchmarks/benchmarks.py
@@ -41,6 +41,8 @@
 JOIN_DATA_SIZE = MERGE_DATA_SIZE
 ARITHMETIC_DATA_SIZE = GROUPBY_DATA_SIZE
 
+CONCAT_DATA_SIZE = [(10_128, 100, 10_000, 128)]
+
 
 class TimeGroupBy:
     param_names = ["impl", "data_type", "data_size"]
@@ -111,6 +113,51 @@ def time_merge(self, impl, data_type, data_size, how, sort):
         self.df1.merge(self.df2, on=self.df1.columns[0], how=how, sort=sort)
 
 
+class TimeConcat:
+    param_names = ["data_type", "data_size", "how", "axis"]
+    params = [
+        ["int"],
+        CONCAT_DATA_SIZE,
+        ["inner"],
+        [0, 1],
+    ]
+
+    def setup(self, data_type, data_size, how, axis):
+        # shape for generate_dataframe: first - ncols, second - nrows
+        self.df1 = generate_dataframe(
+            "modin", data_type, data_size[1], data_size[0], RAND_LOW, RAND_HIGH
+        )
+        self.df2 = generate_dataframe(
+            "modin", data_type, data_size[3], data_size[2], RAND_LOW, RAND_HIGH
+        )
+
+    def time_concat(self, data_type, data_size, how, axis):
+        pd.concat([self.df1, self.df2], axis=axis, join=how)
+
+
+class TimeBinaryOp:
+    param_names = ["data_type", "data_size", "binary_op", "axis"]
+    params = [
+        ["int"],
+        CONCAT_DATA_SIZE,
+        ["mul"],
+        [0, 1],
+    ]
+
+    def setup(self, data_type, data_size, binary_op, axis):
+        # shape for generate_dataframe: first - ncols, second - nrows
+        self.df1 = generate_dataframe(
+            "modin", data_type, data_size[1], data_size[0], RAND_LOW, RAND_HIGH
+        )
+        self.df2 = generate_dataframe(
+            "modin", data_type, data_size[3], data_size[2], RAND_LOW, RAND_HIGH
+        )
+        self.op = getattr(self.df1, binary_op)
+
+    def time_concat(self, data_type, data_size, binary_op, axis):
+        self.op(self.df2, axis=axis)
+
+
 class TimeArithmetic:
     param_names = ["impl", "data_type", "data_size", "axis"]
     params = [