Commercial diligence runs on data and AI. Government diligence still runs on spreadsheets and Rolodexes. The methodology gap is now the largest source of mispriced deals.
A private equity firm can close diligence on a vertical SaaS company in under three weeks. The same firm diligencing a federal services business, a defense hardware company, or a GovTech platform routinely spends three months, and still walks into IC with a market sizing built on assumptions the team privately knows are soft.
That gap isn't a resourcing problem. It's a methodology problem. And it's producing the single largest source of mispriced deals in private markets right now.
Commercial markets have been worked over by two decades of analytical tooling. A vertical SaaS deal comes with standardized comps, benchmark ARR multiples, churn frameworks, and five or six research platforms that will give you a defensible TAM in a day.
Federal markets have none of that. There's no agreed definition of the market. No clean comps. No consensus on what "government exposure" should be worth. The result is that every firm diligencing a federal deal ends up rebuilding the market from scratch, and the quality of that rebuild depends almost entirely on who happens to be on the deal team.
The definitional problem is the root of most of it. Ask ten people what the government market is and you'll get ten different answers.
Is it the $200 billion in federal IT spending? The $500 billion in defense contracts? The tens of thousands of state and local procurement opportunities? The obligated dollars, or the authorized ones? Prime awards only, or the full subaward network underneath?
Each definition produces a different TAM. The TAM drives the deal. Most diligence models never disclose which definition they're running on, which means most investment committees are approving deals without a shared understanding of the market the company is actually selling into.
Market entry into federal still runs on tactics that were optimized for a procurement environment that no longer exists. Hire an ex-agency executive. Sub under an established prime. Work the conferences. Build the relationships over years.
That playbook worked when procurement was opaque and relationships were the only signal. It's increasingly misaligned with how agencies actually operate today. Requirements documents are more detailed than they've ever been. Spending data publishes faster. Congressional priorities are explicit in the marks. The information needed to anticipate where capital is moving is in the public domain. What's missing is the infrastructure to turn it into intelligence at the speed deals actually move.
For investors. Diligence cycles that should take weeks take months. Investment decisions get made with incomplete information. Portfolio companies miss government revenue projections because the market assumptions underneath them were soft from the start. The firms doing the best federal diligence aren't smarter than their peers. They're just not building their analysis on the same brittle foundations.
For operators. Market entry becomes expensive trial-and-error. BD teams chase the wrong opportunities for quarters at a time. Revenue forecasts miss because they're built on relationship signal instead of spending signal. The companies that eventually figure it out usually do so by hiring someone who can bridge the gap manually, which doesn't scale past a certain ARR.
For the market itself. Capital allocates inefficiently. The most innovative solutions struggle to reach the right customers, while incumbents hold position on information asymmetry rather than superior product. The longer the methodology gap persists, the more value stays trapped in suboptimal placements.
The federal government has become one of the most data-transparent institutions in the world. FPDS publishes contract obligations in near-real-time. USAspending exposes the full flow of federal dollars. SAM.gov carries active opportunities. Congressional marks, J-Books, and subaward data fill in the rest. The information exists.
What hasn't existed, until recently, is the infrastructure to turn that information into intelligence at the volume and speed required by modern deal teams. Commercial markets have had that infrastructure for a decade. Federal markets are catching up now.
The firms that solve this first won't just diligence faster. They'll reset what good diligence looks like in this category, the same way Bloomberg reset equity research and PitchBook reset venture. The methodology gap is closing. The question is who gets there before the pricing catches up.
No cadence. No fluff. Original analysis on government demand, defense procurement, and federal capital movement, sent when we have something worth reading.
For PE, VC, sell-side, BD, capture, and strategy teams covering defense.
