diff --git a/Project.toml b/Project.toml
index b50964182..6e5693620 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,6 +1,6 @@
 name = "ChainRules"
 uuid = "082447d4-558c-5d27-93f4-14fc19e9eca2"
-version = "0.7.23"
+version = "0.7.24"
 
 [deps]
 ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
diff --git a/src/rulesets/LinearAlgebra/factorization.jl b/src/rulesets/LinearAlgebra/factorization.jl
index 0af358f7b..d34d9d753 100644
--- a/src/rulesets/LinearAlgebra/factorization.jl
+++ b/src/rulesets/LinearAlgebra/factorization.jl
@@ -8,7 +8,8 @@ using LinearAlgebra.BLAS: gemv, gemv!, gemm!, trsm!, axpy!, ger!
 function rrule(::typeof(svd), X::AbstractMatrix{<:Real})
     F = svd(X)
     function svd_pullback(Ȳ::Composite)
-        ∂X = svd_rev(F, Ȳ.U, Ȳ.S, Ȳ.V)
+        # svd_rev does a lot of linear algebra, it is is efficient to unthunk before
+        ∂X = svd_rev(F, unthunk(Ȳ.U), unthunk(Ȳ.S), unthunk(Ȳ.V))
         return (NO_FIELDS, ∂X)
     end
     return F, svd_pullback
diff --git a/test/rulesets/LinearAlgebra/factorization.jl b/test/rulesets/LinearAlgebra/factorization.jl
index e589b3db4..cdd3cab45 100644
--- a/test/rulesets/LinearAlgebra/factorization.jl
+++ b/test/rulesets/LinearAlgebra/factorization.jl
@@ -13,8 +13,7 @@ using ChainRules: level2partition, level3partition, chol_blocked_rev, chol_unblo
                 @test dself1 === NO_FIELDS
                 @test dp === DoesNotExist()
 
-                ΔF = unthunk(dF)
-                dself2, dX = dX_pullback(ΔF)
+                dself2, dX = dX_pullback(dF)
                 @test dself2 === NO_FIELDS
                 X̄_ad = unthunk(dX)
                 X̄_fd = only(j′vp(central_fdm(5, 1), X->getproperty(svd(X), p), Ȳ, X))
@@ -27,6 +26,26 @@ using ChainRules: level2partition, level3partition, chol_blocked_rev, chol_unblo
             end
         end
 
+        @testset "Thunked inputs" begin
+            X = randn(4, 3)
+            F, dX_pullback = rrule(svd, X)
+            for p in [:U, :S, :V]
+                Y, dF_pullback = rrule(getproperty, F, p)
+                Ȳ = randn(size(Y)...)
+
+                _, dF_unthunked, _ = dF_pullback(Ȳ)
+
+                @assert !(getproperty(dF_unthunked, p) isa AbstractThunk)
+                dF_thunked = map(f->Thunk(()->f), dF_unthunked)
+                @assert getproperty(dF_thunked, p) isa AbstractThunk
+
+                dself_thunked, dX_thunked = dX_pullback(dF_thunked)
+                dself_unthunked, dX_unthunked = dX_pullback(dF_unthunked)
+                @test dself_thunked == dself_unthunked
+                @test dX_thunked == dX_unthunked
+            end
+        end
+
         @testset "+" begin
             X = [1.0 2.0; 3.0 4.0; 5.0 6.0]
             F, dX_pullback = rrule(svd, X)