2026 Lower Middle Market Buyer Demand Report: What 76 PE Firms, Family Offices, and Search Funders Are Actually Looking For

Most owners selling a business in the lower middle market never see the buyer side of the table. They engage one buyer who reached out cold, or they list with a broker who sends to their personal Rolodex. They never see the broader buyer landscape — how many buyers are actually targeting their industry, what range of multiples those buyers will pay, what deal structures they prefer. Without that visibility, the seller is negotiating in the dark.

This report is our attempt to lift some of that fog. At CT Acquisitions, we work with 76 PE firms, family offices, search funders, and independent sponsors actively deploying capital in the U.S. lower middle market. Each of them has shared their investment criteria with us — what we call a ‘buy-box.’ We aggregated and anonymized those buy-boxes to produce the analysis below.

What follows is, to our knowledge, the only buy-box-side aggregation of LMM buyer demand published in 2026.

What we found will be useful to two groups. If you’re an owner thinking about selling: this is what your buyer pool looks like. Not the ‘PE is everywhere’ abstraction — the actual industry-by-industry, EBITDA-tier, and deal-structure breakdown. If you’re an M&A advisor, broker, or buy-side professional: this is a cross-section of the actual demand landscape, anonymized to protect each firm’s strategy.

A note on methodology. All buy-boxes were shared with CT Acquisitions for legitimate deal-sourcing purposes between Q4 2025 and Q2 2026. All firm names, individual criteria, and contact details have been removed. The aggregations below are at the buyer-pool level only. We confirmed in advance with several contributors that they were comfortable with anonymized aggregation publication. The analysis is qualitative-quantitative; the underlying dataset is not public.

“We pulled the buy-box from every PE firm, family office, search funder, and independent sponsor we work with. The result is a snapshot of where U.S. lower-middle-market buyer capital is actually going in 2026 — not where industry headlines say it’s going.”

Key Takeaways

• 76 buyers in our network: 55% PE firms, 25% search funders, 7% search/independent hybrid operators, 5% family offices, 5% independent sponsors, 3% strategic platforms.
• Manufacturing leads buyer demand (50% of buyers active) followed by electrical contracting (40%), HVAC (36%), distribution (34%), home services (29%), and plumbing (29%).
• Software and SaaS combined: 26% of buyers — lower than headlines would suggest, because most LMM buyers focus on services-heavy verticals.
• EBITDA range concentration: $3M-$15M is where 70%+ of LMM buyer demand lives. $1M-$3M is largely PE add-on or search fund territory; $20M+ moves into upper-MM funds.
• Deal structure: 90% of buyers want control. Recaps and minority deals exist but are minority of the market. Search funders skew toward 100% buyout; PE platforms are more open to rollover structures.
• Geographic concentration: 95% of buyers are U.S.-focused, with 7% explicitly extending to Canada. Regional concentration in the Southeast and Midwest exceeds the Pacific Northwest and Mountain West among buyers we surveyed.

Methodology and dataset overview

Between Q4 2025 and Q2 2026, CT Acquisitions received and catalogued 76 buy-boxes from active U.S. lower middle market buyers. A buy-box is a written summary of investment criteria: target EBITDA range, preferred industries, geographic focus, deal-structure preferences, fund size, and BD contact. PE firms, family offices, search funders, and independent sponsors share these with deal originators (firms like ours) so we can route qualified opportunities to them.

We catalogued every firm into a standardized 70-column dataset. Each firm has fields for firm type, EBITDA min/max, revenue min/max, equity check size, fund size, deal type preferences (control/minority/recap/platform/add-on), owner-continuity preferences, recurring-revenue thresholds, geographic focus, and binary tags for 50+ industry verticals.

The aggregations in this report are at the buyer-pool level only. All firm names, individual criteria, and contact information are excluded. We do not identify any specific firm’s investment thesis, deal structure preferences, or target portfolio composition. We do report what percentage of the 76-firm pool meets a given criterion.

We confirmed publication intent with several firms in advance. The firms we asked were comfortable with anonymized aggregation. None requested exclusion. We continue to keep individual buy-boxes confidential, and individual firm recommendations to specific deals are made privately on a per-deal basis as part of our sourcing work.

Industry demand: who’s actually buying what

The biggest finding: industry demand in the LMM is heavily concentrated in services and manufacturing. Half of the 76 buyers in our dataset (50%) are actively targeting manufacturing acquisitions. Four-tenths (40%) target electrical contracting. More than a third (36%) target HVAC. These are the deepest buyer pools in the LMM today.

What this means for owners in these industries: you have buyer competition by default. A $3M EBITDA HVAC business will see 5-10 credible buyer responses from a well-run process. Buyer competition drives multiples. The same business with a thinner buyer pool would see 1-2 credible responses and weaker terms.

What about industries where headlines say PE is everywhere — like software and SaaS? In our LMM dataset, only 20% of buyers target software and 13% target SaaS specifically. That’s lower than press coverage suggests. The reason: most LMM buyers (especially search funders and operationally-focused PE) prefer services businesses with predictable cash flow over technology businesses with binary outcomes.

The thinnest buyer pools are in cyclical or consumer-discretionary verticals. Less than 7% of buyers in our dataset actively pursue restaurants, fitness, automotive, retail, or construction services. Owners in these verticals often face a buyer-pool problem before they face a multiple problem — and the multiple problem follows from the buyer-pool problem.

EBITDA targeting: where the buyer demand actually lives

Most LMM buyers cluster their EBITDA targeting in the $3M–$15M range. Among buyers who specify a clean numerical EBITDA range, the median minimum threshold is $5M. The median maximum threshold is $8M. The interquartile range for minimums runs $3M-$5M. The interquartile range for maximums runs $5M-$15M.

What this means for sub-$3M EBITDA businesses: your buyer pool shifts from PE platforms to PE add-ons, search funders, and independent sponsors. PE platforms generally won’t directly buy a $1.5M EBITDA business as a new platform — they’ll buy it as an add-on to one of their existing portfolio companies, or pass entirely. Multiples are typically 4-6x for sub-$3M EBITDA, vs. 6-9x for the $3M-$15M sweet spot.

What this means for $20M+ EBITDA businesses: your buyer pool shifts upward into upper-middle-market funds. Most LMM-focused buyers in our dataset cap their targeting at $20M-$30M EBITDA, with a few extending to $50M+ for the right deal. Above that, you’re in upper-MM territory with different buyers, different processes, and different multiple structures.

The gap most owners don’t see: the multiple delta between PE platform deals (6-9x) and PE add-on deals (4-6x) is structural, not negotiable. If your business doesn’t qualify as a platform target for an LMM PE firm (size, recurring revenue, market position), you’re competing in the add-on market — and add-on multiples are 30-40% lower than platform multiples by design. PE earns its returns by buying add-ons cheaper than it sells them.

Deal structure preferences: control rules the market

90% of buyers in our dataset want control. ‘Control’ means majority ownership (51%+), but in practice most LMM buyers want 80-100% ownership at close. Only 11% of our dataset explicitly entertains minority recapitalizations, and most of those are PE platforms doing a partial recap of a strong founder business with a long-term hold thesis.

Recapitalizations are a smaller market than industry coverage suggests. Recap deals (where the founder keeps 20-49% via rollover equity) are heavily concentrated among traditional LMM PE firms with growth-platform theses. Search funders almost never do recaps — they want full ownership and operational control. Family offices vary; independent sponsors are flexible based on capital availability.

Platform vs. add-on is the dominant strategic axis for PE buyers. Of the 42 PE firms in our dataset, 36 (86%) explicitly mention both ‘platform’ and ‘add-on’ in their buy-box. The remaining 14% are pure platform investors. None are pure add-on investors. This means most LMM PE will look at any deal that could fit either category, but their thesis varies meaningfully between the two.

Owner-continuity preferences are mostly flexible. 92% of buyers indicated flexibility on whether the founder stays or exits post-close. Only 5% explicitly require owner exits (typically search funders replacing the owner). Only 3% explicitly require owner stay (typically PE platforms with a 5-7 year hold thesis where management continuity drives returns).

Geographic concentration: U.S. national dominates, regional concentration matters

95% of the 76 buyers in our dataset focus on the U.S. market. Only 7% explicitly extend their search criteria to Canada. Almost no buyers in our LMM-focused dataset go beyond North America. This isn’t because international LMM doesn’t exist — it’s because LMM PE firms typically operate within their domestic regulatory and operating context.

Regional concentration is meaningful within the U.S. ‘US national’ is the most common geographic focus, but 28% of buyers specify a regional preference: Southeast (most common), Midwest, Mid-Atlantic, or Mountain West. Pacific Northwest and West Coast buyers are notably less common in LMM than in upper-MM, where venture/growth-equity geography skews California-heavy.

What this means for owners in different regions: Southeast and Midwest businesses face the deepest LMM buyer pools. Mountain West and Pacific Northwest businesses face thinner buyer pools but less competition for deal flow. Rural and small-metro businesses (regardless of region) face logistics challenges in PE diligence (travel, on-site visits) but often command relatively higher multiples because of less competition for them.

Geography also interacts with industry. Manufacturing buyers cluster in the Midwest and Southeast. HVAC and home services buyers are more nationally distributed. Software/SaaS buyers cluster in Coastal markets. The combination of region and industry determines your true buyer pool more than either factor alone.

What this means for owners considering a sale in 2026

First: know your industry’s buyer-pool depth before you go to market. If you’re in manufacturing, electrical contracting, HVAC, distribution, plumbing, or home services, your buyer pool is deep. You should run a competitive process and expect 8-15 credible bids. If you’re in restaurants, retail, fitness, or automotive, your buyer pool is thin. You should focus on finding the 1-3 buyers who will actually engage rather than running a broad process.

Second: target the buyer archetype that matches your size. If you’re $1M-$3M EBITDA, your realistic buyers are PE add-ons, search funders, and independent sponsors. PE platforms generally won’t buy you directly. If you’re $3M-$15M EBITDA, you have the deepest buyer pool: PE platforms, search funders, family offices, and independent sponsors all compete. Above $20M, you’re in upper-MM territory with fewer but larger buyers.

Third: align your structural expectations with market reality. If you want to keep 20-49% of the business via rollover equity, you’re looking at the 11% of LMM buyers who do recaps. Most of those are PE platforms with growth theses. Communicate your structural preferences early in the process — targeting recap-friendly buyers from the start saves cycles vs. trying to negotiate a recap into an LOI from a buyer who didn’t expect one.

Fourth: don’t skip the regional dimension. Your buyer pool isn’t just ‘PE firms in your industry.’ It’s ‘PE firms in your industry that target your region.’ A Southeast HVAC business has a different buyer pool than a Pacific Northwest HVAC business, and the difference is non-trivial. Work with an advisor who tracks regional concentration in addition to industry.

What this means for advisors and brokers

If you’re a sell-side M&A advisor or business broker working in the LMM, this data has practical implications for your process. First: the ‘cast a wide net’ outreach strategy generally underperforms a targeted list. The 76 buyers in our dataset are highly differentiated by industry and size. Generic blast outreach to 500 buyers gets a lower response rate than targeted outreach to the 30-50 buyers who actually fit the deal.

Second: industry-specific buyer rosters matter more than size-only rosters. An advisor with a strong ‘LMM PE roster’ that’s industry-agnostic underperforms an advisor with a deep manufacturing-buyer roster on a manufacturing deal. The 76-firm cross-section we maintain isn’t our entire reach — it’s our actively-engaged subset by industry.

Third: the buy-side has more transparent demand signals than most advisors use. Most LMM PE firms publish their investment criteria publicly. Family offices and independent sponsors are less public but increasingly responsive to direct outreach. The data is there for any advisor willing to systematically catalog and update it — which is exactly what we did to produce this report.

Fourth: the gap between buyer-side reality and seller-side perception is your alpha. Most owners overestimate buyer demand in ‘hot’ sectors and underestimate it in ‘boring’ ones. Software is hotter in headlines than in actual LMM deal flow. Manufacturing is colder in headlines than in actual deal flow. An advisor who understands the gap between coverage and reality serves clients better.

What we couldn’t capture (and what we plan to add in 2027)

This report has limitations we want to be transparent about. First: the 76-firm sample isn’t representative of all LMM buyers. It’s representative of the buyers who chose to share their criteria with us. Larger funds or stealthier family offices may be underrepresented. We see this as a snapshot of the actively-sourcing LMM buyer pool, not the full universe.

Second: buy-box criteria are aspirational, not transactional. What firms say they’re looking for and what they actually close on are sometimes different. Many LMM PE firms claim ‘sector-agnostic’ criteria but only close in 2-3 sectors over the prior 18 months. We didn’t cross-reference buy-box criteria with actual closed-deal data; that’s a 2027 enhancement we’re planning.

Third: pricing data is not in this report. We deliberately did not aggregate multiples or deal terms because that data is the most sensitive component of any buy-box. Multiples by industry are widely covered in BizBuySell Insight, IBBA Market Pulse, and BVR Pratt’s Stats reports; we point readers to those for pricing benchmarks.

Fourth: this is the first annual edition. We plan to publish v2 in Q1 2027 with a year-over-year comparison, expanded sample size (target: 150+ firms), and additional dimensions (deal-process timing, diligence intensity, industry-specific buyer concentration metrics). If you’re a buyer who’d like to be included anonymously in the 2027 dataset, contact us.

Conclusion

Most owners selling a business in the lower middle market never get to see the buyer side of the table. We hope this report helps. The 76-firm cross-section above isn’t the full LMM buyer universe — but it’s an honest snapshot of where active LMM capital was looking in early 2026. Industries with deep buyer pools (manufacturing, electrical, HVAC, distribution, plumbing, home services) command premium multiples and competitive bidding by default. Industries with thin buyer pools require more targeted outreach and produce more variable outcomes. Knowing which side you’re on before you go to market is the single highest-leverage piece of intelligence an owner can have. If you’d like to discuss your specific situation, the 30-minute call is the easiest place to start. We’ll tell you which of the 76 buyers above would actually compete for your business, what range of multiples you’d realistically see, and what to do over the next 6-12 months to put yourself in the best position. The conversation is confidential, costs nothing, and ends if you decide it’s not the right time.

Frequently Asked Questions

How was the 76-firm dataset assembled?

Each firm shared their buy-box (investment criteria summary) directly with CT Acquisitions for legitimate deal-sourcing purposes between Q4 2025 and Q2 2026. We catalog active buyers in our network into a normalized 70-column dataset covering firm type, EBITDA targeting, industry preferences, deal structure, geography, and ownership preferences. The aggregations in this report are at the buyer-pool level only; no individual firm is identified.

Is this dataset a representative sample of all LMM buyers?

No, it’s a representative sample of the actively-sourcing LMM buyer pool that chose to share criteria with us. Larger funds, stealthier family offices, and inactive funds are likely underrepresented. We treat it as a snapshot of the actively-engaged LMM market, not the full universe of buyers that exist.

Why are manufacturing and electrical at the top of buyer demand?

Two reasons. First, both industries have highly fragmented end markets that benefit from PE roll-up strategies (consolidating multiple regional operators into a national platform). Second, both have predictable cash flows from contracted/recurring revenue (commercial maintenance, recurring service contracts), which fits PE’s underwriting models. Manufacturing also has tangible asset bases that lenders prefer.

Why is software/SaaS lower in this dataset than in industry headlines?

LMM buyers in our network skew toward services-heavy verticals with predictable cash flow rather than technology businesses with binary outcomes. Most LMM software/SaaS deals happen with venture/growth-equity funds, not LMM PE platforms. Our dataset reflects that the LMM ‘PE platform’ population is more services-focused than the broader VC/PE market.

What does ‘control’ mean in deal structure?

Control typically means majority ownership (51%+) but in practice means 80-100% ownership at close. Buyers want to direct strategic decisions, replace management if needed, and execute their hold thesis without minority-owner friction. 90% of LMM buyers want control deals; minority recaps and structures are the minority of the market.

What’s the difference between platform and add-on deals?

A platform deal is the first investment a PE firm makes in an industry (typically $3M-$15M EBITDA, used as the base for future roll-up). An add-on deal is a smaller acquisition (typically $0.5M-$3M EBITDA) that gets integrated into an existing platform. Platform deals command higher multiples (6-9x); add-on multiples are 30-40% lower (4-6x) because PE captures the multiple arbitrage when consolidating.

If I’m a $2M EBITDA business, which buyers should I target?

Your realistic buyer pool is PE add-ons (existing platforms in your industry), search funders, family offices, and independent sponsors. PE platforms generally won’t buy you directly as a new platform. Run a process targeted at this subset rather than at large LMM PE firms; the response rate will be much higher and the deal economics will work.

What if my business doesn’t fit any of the top industries?

First, check whether you fit a sub-vertical that we didn’t list (the 70-column dataset covers 50+ industry tags). Second, even thin-pool industries have 5-15 active buyers in our network — the multiple may be tighter, but a deal is achievable. Third, consider running a regionally-targeted process; some thin-pool industries have specific regional buyers who actively pursue deals in their geography.

How does this differ from BizBuySell or IBBA Market Pulse data?

BizBuySell and IBBA aggregate closed-deal multiples and pricing data on the seller side. This report aggregates buyer-side investment criteria. They’re complementary: BizBuySell tells you what businesses sold for; this report tells you who’s actively looking. Most owners benefit from looking at both: pricing benchmarks (BizBuySell) plus buyer pool depth (this report).

Why don’t you publish multiples or deal-pricing data?

Multiples and deal terms are the most sensitive component of any buy-box. We received this data under confidentiality. Aggregating and publishing average multiples by industry would either require buyer-by-buyer attribution (which we can’t do) or be so anonymized as to be misleading. We point readers to BizBuySell Insight, IBBA Market Pulse, BVR Pratt’s Stats, and GF Data for pricing benchmarks.

Will you publish this report annually?

Yes. The 2027 edition is planned for Q1 2027 with a year-over-year comparison, expanded sample size (target: 150+ firms), and new dimensions including deal-process timing, diligence intensity, and industry-specific buyer concentration metrics. If you’re a buyer interested in being included anonymously, or a seller interested in receiving the next edition first, contact us via the form at the top of this page.

How can I get a more specific read on my own business?

Book a 30-minute confidential call. We’ll discuss your specific industry, EBITDA range, geography, and ownership preferences, and tell you which of the 76 buyers in our network would realistically compete for your business. No contract, no cost. The call is informational; we don’t pitch you on engaging us. Get in touch here.

About the Author

Christoph Totter is the founder of CT Acquisitions, a buy-side deal origination firm headquartered in Sheridan, Wyoming. CT Acquisitions sources founder-led businesses for 75+ private equity firms, family offices, and search funds across the U.S. lower middle market ($1M–$25M EBITDA). Christoph writes about M&A from the perspective of someone on the phone with both sides of the deal table every week. Connect on LinkedIn · Get in touch