If $A$ is an $n\times n$ matrix with real entries, let me write $\widehat A$ its cofactor matrix. Since the map $A\mapsto\widehat A$ is polynomial, homogeneous of degree $n-1$, it can be multi-linearized: $$\widehat A=P_{n-1}(A,\ldots,A)$$ where $P_{n-1}:{\bf M}_n({\mathbb R})^{n-1}\to{\bf M}_n({\mathbb R})$ is multilinear and symmetric. For instance if $n=3$, then $$P_2(A,B)=\frac12\left(\widehat{A+B}-\widehat A-\widehat B\right),\qquad A,B\in{\bf M}_3({\mathbb R}).$$
If $A$ is symmetric, then so is $\widehat A$. Moreover, if $A\in{\bf Sym}_n^+$ (symmetric positive semi-definite), then so is $\widehat A$.
Is it true that if $A_1,\ldots,A_{n-1}\in{\bf Sym}_n^+$, then $P_{n-1}(A_1,\ldots,A_{n-1})\in{\bf Sym}_n^+$ ?
I know that the answer is positive for $n=3$.
Proof: by density we may assume that $B$ is positive definite. With $H=\sqrt B$, we have $P_2(A,B)=\widehat HP_2(C,I_3)\widehat H$ for $C=H^{-1}AH^{-1}$. Thus it is sufficient to consider the case where $B=I_3$. Then diagonalizing $A$, we may restrict to the diagonal case. Then
$$P_2(A,I_3)=\frac12{\rm diag}\left(\prod_{j\ne i}(1+a_j)-\prod_{j\ne i}a_j-1\right)=\frac12{\rm diag}(a_2+a_3,a_1+a_3,a_1+a_2),$$
which is obviously positive. $\blacksquare$
Remark. There is no trivial answer to this question, because the map $A\mapsto A^2$ satisfies similar assumptions (it sends ${\bf Sym}_n^+$ into itself), but the bilinear function $(A,B)\mapsto\frac12(AB+BA)$ does not.