diff --git a/stdlib/LinearAlgebra/src/structuredbroadcast.jl b/stdlib/LinearAlgebra/src/structuredbroadcast.jl
index 9d234b8508766..e7804f8733c58 100644
--- a/stdlib/LinearAlgebra/src/structuredbroadcast.jl
+++ b/stdlib/LinearAlgebra/src/structuredbroadcast.jl
@@ -78,7 +78,7 @@ find_uplo(bc::Broadcasted) = mapfoldl(find_uplo, merge_uplos, Broadcast.cat_nest
 function structured_broadcast_alloc(bc, ::Type{Bidiagonal}, ::Type{ElType}, n) where {ElType}
     uplo = n > 0 ? find_uplo(bc) : 'U'
     n1 = max(n - 1, 0)
-    if uplo == 'T'
+    if count_structedmatrix(Bidiagonal, bc) > 1 && uplo == 'T'
         return Tridiagonal(Array{ElType}(undef, n1), Array{ElType}(undef, n), Array{ElType}(undef, n1))
     end
     return Bidiagonal(Array{ElType}(undef, n),Array{ElType}(undef, n1), uplo)
@@ -134,6 +134,8 @@ iszerodefined(::Type) = false
 iszerodefined(::Type{<:Number}) = true
 iszerodefined(::Type{<:AbstractArray{T}}) where T = iszerodefined(T)
 
+count_structedmatrix(T, bc::Broadcasted) = sum(Base.Fix2(isa, T), Broadcast.cat_nested(bc); init = 0)
+
 fzeropreserving(bc) = (v = fzero(bc); !ismissing(v) && (iszerodefined(typeof(v)) ? iszero(v) : v == 0))
 # Like sparse matrices, we assume that the zero-preservation property of a broadcasted
 # expression is stable.  We can test the zero-preservability by applying the function
diff --git a/stdlib/LinearAlgebra/test/structuredbroadcast.jl b/stdlib/LinearAlgebra/test/structuredbroadcast.jl
index fab6cd80141b2..316729c0b21b7 100644
--- a/stdlib/LinearAlgebra/test/structuredbroadcast.jl
+++ b/stdlib/LinearAlgebra/test/structuredbroadcast.jl
@@ -59,6 +59,24 @@ using Test, LinearAlgebra
             @test broadcast!(*, Z, X, Y) == broadcast(*, fX, fY)
         end
     end
+
+    @testset "type-stability in Bidiagonal" begin
+        B2 = @inferred (B -> .- B)(B)
+        @test B2 isa Bidiagonal
+        @test B2 == -1 * B
+        B2 = @inferred (B -> B .* 2)(B)
+        @test B2 isa Bidiagonal
+        @test B2 == B + B
+        B2 = @inferred (B -> 2 .* B)(B)
+        @test B2 isa Bidiagonal
+        @test B2 == B + B
+        B2 = @inferred (B -> B ./ 1)(B)
+        @test B2 isa Bidiagonal
+        @test B2 == B
+        B2 = @inferred (B -> 1 .\ B)(B)
+        @test B2 isa Bidiagonal
+        @test B2 == B
+    end
 end
 
 @testset "broadcast! where the destination is a structured matrix" begin