Private Equity Leaders: One Quarter of PortCo Drift Costs You More Than You Think
The fastest way to burn time (and money) in a portfolio is to say, “We’ll just hire a new head for it”:
- Hiring is pricier than you think: SHRM benchmarking puts the average cost-per-hire near $4,700, and their Talent Acquisition benchmarks cite ~44 days median time-to-fill.
- Benefits are a real tax on payroll: For private industry employers, benefits are ~30% of total compensation costs (before you count tools, recruiting fees, severance, etc.)
Not only that, but most teams don’t model what “we’ll just fill/create a seat for that” really means when it comes to the precious commodity of time:
- Weeks 1-6: Seat is open. Pipeline and process issues keep compounding.
- Weeks 7-12: Onboarding and learning curve. You’re paying, but outcomes haven’t moved one bit yet.
- By next quarter: You’ve added fixed cost… and you’re still in need of a plan, enablement, and accountability.
So if you’re thinking, “We’re too busy,” that’s exactly when hiring becomes the reflex… and the reflex becomes the tax.
The right advisory partner is not a cost center or a new expense. The right advisory partner is a headcount alternative. Variable cost. Immediate action. No org drag.
Pressure test it quickly for two portfolio companies where you have turnaround, growth, or exit needs. We’ll tell you in days (not weeks) whether there’s a real revenue/EBITDA unlock worth pursuing, without putting headcount on your books.
Recent Posts
Is The AI Analyzing Your Deals Also Exposing Them?
An examination of how AI-powered deal and portfolio tools handle confidential data during normal operation — and why the architecture of those…
The Invisible Data Problem
An examination of how the intelligence and analytics tools widely deployed across private equity portfolios handle confidential company data — and why…
MP/GP Warning: Your LPs Don’t Care That You “Have AI.” They Care What It Changed.
LPs and boards are done funding “AI ambition.” They’re asking for proof—measurable, repeatable, auditable proof—that AI is improving the investment and execution…