Bit by qubit: Quantum computing funding hit a record $3.9 billion in 2025, and the arrival of an institutional investor class is fueling its acceleration. Read more.
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SpaceX’s June 2026 IPO did something no prior deal could: It gave the market a live, traded price for a frontier AI-adjacent moonshot. Our new analyst note reads that print through to the two pure-play labs now in registration, Anthropic and OpenAI, and derives what the public comp implies for each.
Our AI Business Quality (AIBQ) framework finds that business quality runs inverse to valuation. Anthropic scores highest at 8.20 of 10, yet carries the lowest price per unit of quality, about $118 billion per AIBQ point. OpenAI, at 4.53, and the xAI segment inside SpaceX, at 4.49, score lowest and cost the most, roughly $188 billion and an estimated $345 billion per point. The listings will decide whether the market pays for fundamentals or for narrative, a verdict that sets the multiple for every frontier AI IPO that follows.
Applying that per-point ladder to the live comp implies a wide range: roughly $1.0 trillion to $2.8 trillion for Anthropic and $0.5 trillion to $1.6 trillion for OpenAI, set by which pricing regime clears rather than by anything the businesses do before pricing.
The top of that range comes with the caveat that SpaceX is not a clean comparable. A profitable Starlink covers most of the AI segment’s operating losses, a buffer the labs lack, so the scarcity price SpaceX commands may not transfer cleanly to a pure-play listing that tests appetite for burn directly.
The swing factor is revenue recognition. Anthropic’s roughly 20.5x run-rate multiple could be 50x to 60x on recognized revenue, near the richest level a public AI name has sustained. The conversion of each confidential filing into a public S-1, expected around August, is where a gross-to-net restatement would surface and reset every multiple at once.
Two scenarios can happen. The bull case: If investors will fund a money-losing AI business buried inside SpaceX, cleaner standalone labs should clear comfortably. The bear case: SpaceX still needed the largest IPO in history, and the labs must fund their burn with nothing underneath them. The call is falsifiable at dated levels through the fall, and Anthropic likely prices first, setting the comp OpenAI is measured against.
Senior Research Analyst, Enterprise SaaS and Infrastructure SaaS
Capital One closed its Brex acquisition on April 7, and a few weeks before that, Hg agreed to take OneStream private at $6.4 billion. Two of the three largest enterprise SaaS deals of Q1 were directed at the same target, the office of the CFO.
Our data in Q1 2026 supports this trend. Excluding the $250 billion xAI-SpaceX deal, financial management systems led every other subsegment in Q1 at $14.6 billion across 17 deals, a third of all non-xAI deal value. Procurement and sourcing added $6.1 billion across just five deals, an average of $1.2 billion each, the richest per-deal figure in the quarter. M&A is once more concentrating where the close, the spend, and the forecast are determined and executed.
OneStream is a clear indication of sponsor conviction. KKR took it public in 2024, and now Hg, with General Atlantic and Tidemark alongside, is taking it private again at $24 a share, a 31% premium, merely 18 months later. This quick turnaround indicates to us that the public market discounted this CFO platform against what private buyers would pay to own it at scale.
On the other hand, Brex is a more complicated transaction. Capital One paid roughly $5.15 billion, half cash and half stock, for this AI-native spend platform which was last priced at $12.3 billion in 2022. Although this is a sharp markdown from the venture-backed peak, the strategic logic is sound for both sides. A top 10 US bank is expanding beyond commoditized cards and deposits into the CFO’s operating stack, and a fintech is trading its funding-cost problem for insured deposits and a national balance sheet.
Why here and why now? CFO software sits on the system of record and ties directly to a financial outcome, which is the profile where we see AI agents layering on top of a platform instead of replacing it. Today’s buyers are paying premiums on the thesis that automation will deepen those workflows instead of hollowing them out. Close, consolidation, spend, procurement, planning: the finance function is being acquired one workflow at a time, and these multiples imply a confidence that they will not be commoditized.
