diff --git a/ext/TensorOperationsEnzymeExt/TensorOperationsEnzymeExt.jl b/ext/TensorOperationsEnzymeExt/TensorOperationsEnzymeExt.jl
index 4afb5292..4f314d06 100644
--- a/ext/TensorOperationsEnzymeExt/TensorOperationsEnzymeExt.jl
+++ b/ext/TensorOperationsEnzymeExt/TensorOperationsEnzymeExt.jl
@@ -189,7 +189,7 @@ function EnzymeRules.augmented_primal(
     ) where {RT, Tα <: Number, Tβ <: Number, TA <: Number, TC <: Number}
     # form caches if needed
     cache_A = EnzymeRules.overwritten(config)[3] ? copy(A_dA.val) : nothing
-    cache_C = !iszero(β_dβ.val) ? copy(C_dC.val) : C_dC.val
+    cache_C = !isa(β_dβ, Const) ? copy(C_dC.val) : C_dC.val
     ba = map(ba_ -> getfield(ba_, :val), ba_dba)
     α = α_dα.val
     β = β_dβ.val
@@ -309,7 +309,7 @@ function EnzymeRules.augmented_primal(
     ) where {RT, Tα <: Number, Tβ <: Number, TA <: Number, TC <: Number}
     # form caches if needed
     cache_A = EnzymeRules.overwritten(config)[3] ? copy(A_dA.val) : nothing
-    cache_C = !isa(β_dβ, Const) ? copy(C_dC.val) : nothing
+    cache_C = !isa(β_dβ, Const) ? copy(C_dC.val) : C_dC.val
     ba = map(ba_ -> getfield(ba_, :val), ba_dba)
     α = α_dα.val
     β = β_dβ.val
diff --git a/test/enzyme.jl b/test/enzyme.jl
index 16612c8d..aa7245cf 100644
--- a/test/enzyme.jl
+++ b/test/enzyme.jl
@@ -251,3 +251,12 @@ end
     test_reverse(tensorscalar, Active, (C, Duplicated); atol, rtol)
     test_forward(tensorscalar, Duplicated, (C, Duplicated); atol, rtol)
 end
+
+# dβ needs the original C whenever β is Active, also when its value is zero
+@testset "tensoradd! with Active β = 0" begin
+    pA = ((2, 1, 4, 3, 5), ())
+    A = rand(Float64, (2, 3, 4, 2, 1))
+    C = rand(Float64, size.(Ref(A), pA[1]))
+    test_reverse(tensoradd!, Duplicated, (C, Duplicated), (A, Duplicated), (pA, Const), (false, Const), (randn(), Active), (0.0, Active))
+    test_reverse(tensoradd!, Duplicated, (C, Duplicated), (A, Duplicated), (pA, Const), (false, Const), (randn(), Active), (randn(), Const))
+end