83% of deals over $5M got 3+ offers. That is preparation showing up in the data.
The Q1 2026 IBBA and M&A Source Market Pulse Survey polled 300 brokers and advisors and pulled data from 203 completed transactions. The headline number: 83% of deals over $5M attracted three or more offers. 18% attracted ten or more bids.
That is a seller's market for the businesses that were ready to sell. It was not a seller's market for the businesses that were not.
The Q1 2026 numbers in one table
| Metric | Q1 2026 Finding | |---|---| | Deals over $5M with 3+ offers | 83% | | Deals over $5M with 10+ offers | 18% | | Advisors reporting stronger activity (12 months) | 43% | | Advisors reporting weaker activity (12 months) | 21% | | AI impact on valuation: no material impact | 67% | | AI impact on valuation: upside | 12% | | AI impact on valuation: downside | 3% | | Valuation multiples, $500K-$2M | Slight increase | | Valuation multiples, $2M-$50M | Steady | | Seller confidence | Approaching prior peaks |
Two things jump out. Activity is up but multiples are not spiking. That means more deals are closing at fair prices, not that the market is overheating. And AI hype has not moved valuations for two-thirds of transactions.
What the 3+ offer sellers had in common
They removed themselves as the bottleneck. Every deal that pulled multiple bids had one thing: the business ran without the owner answering every question.
Their financials were clean before the process started. No commingled personal expenses. No handshake deals with vendors that live only in the owner's head. Receipts, not stories.
They had documented systems, not tribal knowledge. The 83% figure is about companies where a second-year PE associate could open the operations binder and understand how the business makes money.
They started the process 12-24 months before listing. Nobody bid up a business that got listed the same quarter the owner decided to sell.
The $4.2M business that got one offer
A few years back I worked with an owner of a specialty distribution business doing about $4.2M in revenue with healthy margins. He listed it thinking buyers would line up.
One offer came in. Low. The reason: he was the only person who could call the top three customers and keep them happy. His ops manager did not know pricing logic. His books mixed two personal credit cards into cost of goods.
He pulled the deal. Spent fourteen months documenting every process, training a GM, and separating finances. When he relisted, he got four offers. Final price came in 40% higher than the original single bid. Same business. Same revenue.
The 90-Day Bottleneck Audit
If you are planning to sell in the next 12-24 months, run this before you talk to a broker.
Days 1-30: Find where you are the bottleneck. Track every decision that came to you personally for 30 days. Pricing exceptions, vendor negotiations, customer escalations.
Days 31-60: Build the system. For each item on that list, document the decision logic. A pricing matrix, an escalation protocol, a hiring rubric. Then hand it to someone else and watch them use it.
Days 61-90: Stress-test with a real absence. Take five business days off, fully off. Note every fire that needed you specifically. Fix those gaps.
Why activity is up but multiples are not spiking
43% of advisors reported stronger transaction activity over the past 12 months. Only 21% reported weaker activity. But valuation multiples in the $2M-$50M range held steady.
A market where multiples spike is usually a market getting ahead of itself. A market where activity rises and multiples stay disciplined is a market pricing risk correctly.
The 83% figure is not buyers throwing money at anything that moves. It is buyers competing hard for the businesses that already de-risked themselves, and passing on the ones that did not.
What this means if you are not selling yet
The Q1 2026 data tells builders that the market rewards scale and stability, not hype. Build a business that would survive its owner taking a month off, and you are building toward the 83% column.
AI is part of the conversation, but 67% of advisors say it has not moved valuations yet. Cash flow, documented systems, and a management layer that is not just the founder wearing five hats still decide the price.
The Owner's Exit Engine model, where the business generates cash, runs on systems, and produces a leadership bench independent of the founder, is what turns a single lowball offer into a bidding process.
The receipts buyers actually ask for
Buyers ask for three years of clean financial statements, tax returns that match the books, contracts with key customers and vendors in writing, an org chart that shows real depth beyond the owner, and documented standard operating procedures.
The business that already has the receipts organized moves through diligence in weeks. The business scrambling to produce them in real time signals risk.
Doctrine Connection: Due diligence is non-negotiable
Every number in the Q1 2026 survey traces back to one fact: buyers verify. They do not take an owner's word for revenue, margins, or customer relationships. They open the books, interview the team, and test whether the business survives without its founder.
The sellers who got 3+ offers passed that test before the buyer ever asked the question.
How to Read Valuation Multiples When AI Has Not Moved Them
The 67% no-impact finding on AI deserves a sharper read. It does not mean AI is irrelevant. It means buyers have not yet found a reliable way to value AI capability as a durable asset.
A company that claims "we use AI for customer support" is making a tool claim. A company that demonstrates "our AI-driven customer support system resolved 78% of tickets without human intervention, reduced average resolution time from 4.2 hours to 11 minutes, and contributed to a 94% customer satisfaction score over 12 months" is making an operations claim backed by verifiable numbers.
The second version is what moves a multiple. The first version is what 67% of sellers are presenting, and buyers are correctly ignoring it.
Here is the framework for any owner-operator who wants to make AI into a valuation asset, not a valuation footnote. Stop talking about tools. Start measuring outcomes. Document every AI-driven process improvement with before-and-after metrics tied to revenue or cost. Present those metrics in the data room as operational evidence, not marketing material.
When I was at Hartford Steam Boiler, I watched underwriters evaluate risk with the same lens. They did not care what safety system you installed. They cared what your claims history looked like after you installed it. The safety system was the input. The claims reduction was the proof. AI works the same way in a valuation context. The tool is the input. The measured outcome is the proof that buyers actually underwrite.
The Hidden Story in Transaction Velocity
43% of advisors reporting stronger activity versus 21% weaker is a net positive signal. But dig one layer deeper and the story has more texture.
Stronger activity does not mean faster closes. Many advisors report that while they have more mandates and more buyer interest, the time from LOI to close has lengthened by 30-60 days on average compared to 2023-2024. The additional time is consumed by deeper diligence, more structured deal terms, and a higher frequency of renegotiation between LOI and close.
This has practical implications. If you are planning to list in Q3 2026, budget for a 6-9 month process from initial marketing to close, not the 90-120 days some brokers still quote from peak-market experience. That extended timeline also means your business needs to perform consistently throughout the process. Buyers who see a dip in the trailing three months between LOI and close use it as leverage to retrade the price.
Build your business to withstand a 9-month selling process where every quarter gets scrutinized. That means your systems, your team, and your financial reporting need to operate independently of you for at least two full quarters while you are distracted by the transaction. Owner-operators who cannot do this find themselves in the worst possible position: negotiating a sale while the business they are selling starts to slip.
The 10+ Offer Deals: What Was Different
The 18% of deals that attracted ten or more bids represent the top tier of transaction quality. These are not just good businesses. They are businesses that are easy to buy.
"Easy to buy" means the data room is clean, the management team interviews well, the client base is diverse, the financial model is simple to underwrite, and the seller has realistic expectations. Each of those attributes reduces friction for the buyer, and reduced friction means more buyers stay in the process through the final round.
Most sellers focus on making their business attractive. The better focus is making it easy. An attractive business with a messy data room gets two offers. An equally attractive business with a clean data room gets ten. The difference is preparation, not performance.
FAQ
Q: What is the IBBA Market Pulse Survey?
A quarterly survey of business brokers and M&A advisors tracking deal activity, valuation trends, and sentiment for businesses valued up to $50M. Q1 2026 surveyed 300 brokers with 203 completed transactions.
Q: Has AI changed how buyers value businesses?
Marginally. 67% of advisors report no material impact. Only 12% see it adding value. The core valuation math still runs on cash flow, systems, and risk.
Q: How long before a sale should I start preparing?
12-24 months. That gives room to remove yourself as the bottleneck, clean financials, and document systems before a diligence team finds the gaps.
Q: What separates a 1-offer deal from a 10-offer deal?
Owner dependency. Businesses where the founder is the primary decision-maker for everything get discounted. Businesses on documented systems attract competing bids.
*Jeff Barnes, MBA has no personal position in any company, fund, platform, or tool named in this article. demg.ai has no current commercial relationship with any party mentioned. demg.ai provides marketing education and systems for owner-operators, not investment advice. Past performance does not guarantee future results.*