HubSpot Q1 2026: A Strong Quarter, But The AI Question Is Still Hard
HubSpot reported a strong quarter. For most companies, that would be enough.
Revenue grew 23% as reported and 18% in constant currency. Customers grew 16%. Average subscription revenue per customer grew 6%. Margins improved.
Free cash flow was healthy. Management also raised full-year guidance.
For most companies, that would be enough.But software is not being valued normally right now.
The quarter was strong across growth, profitability, cash generation, and customer metrics.
Revenue was $881.0 million, up 23% as reported and 18% in constant currency. Subscription revenue was $862.3 million, up 23%.
Profitability also improved. GAAP operating income was $27.9 million, compared with a loss of $27.5 million last year. Non-GAAP operating income was $156.8 million, up from $100.3 million last year. GAAP operating margin improved to 3.2%, compared with negative 3.8% last year, while non-GAAP operating margin improved to 17.8%, compared with 14.0% last year. Non-GAAP net income was $143.0 million.
Cash generation was healthy. Operating cash flow was $198.8 million, and non-GAAP free cash flow was $153.7 million. HubSpot ended the quarter with $1.8 billion of cash, cash equivalents, and investments.
Customer metrics were also solid. HubSpot had 299,458 customers, up 16%. Average subscription revenue per customer was $11,722, up 6%. Calculated billings were $912.3 million, up 19% as reported and 17% in constant currency.
The company also guided for Q2 revenue of $897 million to $898 million, up 18% as reported and 16% in constant currency.
For the full year 2026, HubSpot guided for revenue of $3.700 billion to $3.708 billion, up 18% as reported and 17% in constant currency.
The company also guided for non-GAAP operating income of $762 million to $766 million, with a non-GAAP operating margin of 21%.
Non-GAAP EPS is expected to be between $13.04 and $13.12.
This is why the stock reaction surprised me.
The stock fell sharply after hours, trading around or below $190. That puts the market cap around $10 billion.
It reported growth, margin expansion, free cash flow, and higher guidance.
So why did the stock fall?
Because investors are no longer giving SaaS companies the benefit of the doubt.
The AI Problem
The concern is not really Q1.
The concern is the future shape of software.
When investors say “AI risk” for software companies, they usually mean tools like ChatGPT, Gemini, Claude, and the new coding tools that make it easier to create software, automate workflows, and interact with data.
For years, software companies benefited from a simple setup:
Companies needed tools. Employees used the tools. The vendor charged per seat, per module, or per platform.
AI makes that model less obvious.
If an AI agent can do the work, maybe the human does not need to log into the software as often. If the AI can update records, write follow-ups, summarize meetings, create tickets, qualify leads, and answer customer questions, then the old software interface becomes less important.
That is the fear.
If AI really changes how work gets done, then a lot of software pricing models will need to change.
The question is whether HubSpot is hurt by that change or whether HubSpot becomes one of the platforms where that change happens.
Agentic Is Easy To Say
This is where I think investors need to be careful.
It is easy to say “agentic but It is much harder to create useful agentic workflows for real businesses. HubSpot has almost 300,000 customers. Those customers do not all use HubSpot in the same way. Some use it mainly for marketing. Some use it for sales. Some use it for service. Some use it as a lightweight CRM. Some use multiple hubs together.
Each business has its own data, workflows, customer history, sales process, support rules, permissions, integrations, and internal habits.
That is the hard part.
AI by itself is not enough.
The AI needs context.
It needs to know the customer, the company, the workflow, the prior conversations, the open deals, the support history, the marketing campaign, the permissions, and the next best action.
That is why I do not think most companies will simply build their own CRM or marketing system from scratch.
Some companies can do it.
I listened to Palantir’s earnings call a few days ago, and they actually talked about legacy SaaS. They also seem to have built their own AI systems in a way that reduces the need for a traditional CRM.
A company like Palantir may be able to build very specific internal AI workflows because it has the technical talent, the operating culture, and the need. In that kind of company, the old CRM idea may disappear. The AI can capture the data, update the system, route the work, and bring the human in only when judgment is needed.
But most companies are not Palantir.
They do not have the time, resources, engineering depth, or internal clarity to build their own CRM, marketing automation, sales automation, and service automation layer.
They still need a platform.
That is HubSpot’s opportunity.
But it is also HubSpot’s risk.
If HubSpot can turn its customer data and workflows into useful agents, it becomes more valuable.
If it cannot, then customers may ask why they are paying for another software layer when AI tools can do more work directly.
The Monetization Question
For me, the biggest question is AI monetization.
HubSpot has been trying to explain this through products like Customer Agent, Prospecting Agent, Data Agent, AEO, Smart Deal Progression, and HubSpot Credits.
I understand the logic.
Instead of charging only for seats, HubSpot can charge for outcomes or usage. For example, Customer Agent is priced around successful resolutions, and Prospecting Agent is priced around recommended leads.
Customers do not want to pay for AI because it sounds interesting. They want to pay because it produces a result.
AI is here, but creating real business use cases is not easy. A company does not commit more budget just because a vendor says “agentic.” It needs to see better conversion, lower support costs, faster ticket resolution, cleaner data, better lead quality, or more efficient sales follow-up.
That takes time.
HubSpot needs customers to use the AI products so the products improve and monetization grows. But customers need to see results before they commit too much spend.
That is why the credit system matters.
If credits become a clean way to charge for real outcomes, then HubSpot has another growth lever.
If credits feel confusing, expensive, or hard to connect to business value, then monetization will be slower.
That is what I am watching.
Capex And Product Investment
The second thing to watch is investment intensity.
HubSpot generated $203.5 million of non-GAAP operating cash flow in Q1 and $153.7 million of non-GAAP free cash flow.
The difference is roughly $50 million.
That came from $15.4 million of purchases of property and equipment and $34.3 million of capitalized software development costs
The company also still has a strong liquidity position. Cash and cash equivalents were $943.9 million, short-term investments were $747.1 million, and long-term investments were $87.5 million at quarter-end. Together, that is about $1.78 billion of cash and investments.
The market is already worried that software companies will need to spend more just to defend their existing business.
That is a very different story from the old SaaS model.
In the old model, investors assumed software companies could scale with very high incremental margins. AI may still improve productivity, but it also requires more product investment, more infrastructure, more data work, and more experimentation.
So the question is simple:
Is HubSpot spending to create a stronger platform, or is it spending just to keep up?
Those are very different things.
Valuation
At around $190 per share, HubSpot’s market cap is roughly $10 billion.
The company has about $1.8 billion in cash, cash equivalents, and investments. That puts the rough enterprise value near $8.2 billion, before smaller adjustments.
Using the midpoint of 2026 guidance, HubSpot expects about $3.704 billion of revenue, about $764 million of non-GAAP operating income, and about $13.08 of non-GAAP EPS.
At $190, the stock trades at roughly 2.7x 2026 revenue, or 2.2x 2026 revenue on an enterprise value basis.
It also trades at about 14.5x 2026 non-GAAP EPS and 10.7x 2026 non-GAAP operating income on an enterprise value basis.
That is not demanding for a business still growing revenue around 18% with a 21% non-GAAP operating margin.
HubSpot is guiding for about $3.704 billion of revenue and $762 million to $766 million of non-GAAP operating income. That is roughly a 21% non-GAAP operating margin.
On that basis, at around $190, the stock trades at roughly 10.7x enterprise value to guided non-GAAP operating income.
Q1 free cash flow is still useful, but as a cash conversion check.
HubSpot reported $153.7 million of non-GAAP free cash flow in Q1.
That number comes from $198.8 million of GAAP operating cash flow, minus $15.4 million of property and equipment purchases, minus $34.3 million of capitalised software development costs, plus $4.7 million of restructuring payments added back.
My View
The market is basically saying: “Good quarter. But prove the AI story.”
Investors are punishing SaaS companies that do not crush earnings and give confidence about the future. Growth deceleration is not a surprise, especially with macro uncertainty. But the old tolerance is gone.
For a few years, SaaS companies could talk about product roadmaps and investors would pay high multiples.
That period is over. Now investors want evidence. They want to see whether AI increases revenue, improves retention, expands margins, or creates new usage-based economics. That is why HubSpot falling after a strong quarter is not completely irrational.
Revenue growth was strong. Margins improved. Guidance moved up. Free cash flow was healthy. Customers continued to grow. Average subscription revenue per customer grew. The balance sheet is strong. The company also bought back $211 million of stock in the quarter, with $789 million remaining under the repurchase program.
But I also understand the concern.
HubSpot has to prove that AI is not just a feature layer. It has to prove that AI can become part of the workflow and part of the monetization model.
Customers need to see results before they commit more spend.
HubSpot has the right ingredients: customer data, workflows, nearly 300,000 customers, multiple hubs, a large ecosystem, and a clear need across marketing, sales, and service.
The stock falling below $190 makes the valuation more interesting. At roughly 10-11x enterprise value to guided non-GAAP operating income, the market is no longer pricing HubSpot like a perfect SaaS compounder.
The question is whether HubSpot can turn AI into measurable business outcomes for customers.
Sources:
- HubSpot Q1 2026 results: https://ir.hubspot.com/news-releases/news-release-details/hubspot-reports-strong-q1-2026-results
- HubSpot Spring 2026 Spotlight: https://www.hubspot.com/spotlight
- HubSpot Credits overview: https://knowledge.hubspot.com/account-management/understand-hubspot-credits-and-billing