Most Active M&A Advisors in Tech (2026 League Table)

Every M&A league table in circulation has the same structural problem. The firms supply the data. A vendor collects submissions, a firm decides which engagements to submit, and the resulting ranking measures reporting discipline as much as deal flow. That works acceptably for the top of the market, where transactions are public anyway. It falls apart in lower-middle-market technology, where most sellers are private, most buyers are private, and nobody has an obligation to say who ran the process.

So we built the opposite. This page counts one thing only: how many times an advisory firm was named as sell-side advisor in a public announcement attached to a tech or SaaS acquisition in the ProCloser Tech M&A Deal Index. Nothing is submitted, nothing is estimated and nothing is inferred from a firm's own client list. The dataset behind it is published as open CSV and JSON, every row carries the source link that produced the credit, and the counts below can be reproduced from that file in about ten lines of code.

The honest cost of that design is coverage. Out of 1,473 tracked deals, 1,340 name nobody. That is 91.0 percent of the market we can see, invisible on the question of who advised. A firm that closed a dozen quiet founder exits in 2026 shows up here with a zero or a one. Nothing in this table should be read as a statement about how good a firm is or how much work it did, and the sections below spell out exactly where the numbers break.

Methodology: how a credit is earned

The rule is mechanical, and it is the same rule for a bulge-bracket bank and a two-person boutique.

A firm earns one credit when it is named as sell-side advisor, financial advisor to the seller or equivalent, in a public source that we link on the deal row. One credit per deal per firm. If three firms are named on one transaction, all three get a credit and the deal counts once in the 133. Seventeen of the 133 credited deals name more than one sell-side advisor, which is why 133 deals produce 152 credits.

What sources qualify

Of the 133 credited deals, the naming source breaks down as 89 company or acquirer press releases, 26 pieces of trade or business news coverage, 17 SEC 8-K filings and 1 advisor's own published transaction announcement. Filings and press releases carry the most weight because the parties are on the record. Trade coverage qualifies where the outlet names the advisor and the transaction detail matches the rest of the row. An advisor's own announcement qualifies, and we flag it, because it is a weaker evidence class than a filing.

What is excluded

• Buy-side roles. This table counts only credits on the sell side. Advising an acquirer is a different service from selling a company, and combining the two into one number flatters firms with strong sponsor coverage. Across the same 1,473 deals, 157 name an advisor on either side, 132 distinct firms appear and there are 243 total advisory roles. The advisor league view in the deal index publishes both columns.
• Unannounced deals. If there is no public announcement, there is no row and no credit, however real the transaction.
• Tombstone pages with no deal detail. A logo grid on a firm website is not a source. A dated announcement naming both parties is.
• Legal, tax, quality-of-earnings and diligence advisors. Only the financial advisor to the seller is counted.
• Financing rounds and minority investments that are not framed as an acquisition of the business.
• Self-reported submissions. We accept links, not lists. See the corrections section.

Why the sample is what it is

The index collects announcements from company newsrooms, wire services, SEC filings and technology trade press across eleven sector labels. Coverage of announced deals is strong. Coverage of advisor identity is weak, because the announcement is written to explain the acquisition to customers and employees rather than to credit the bankers. Public-company buyers and private equity sponsors name advisors more often, so those transactions dominate the credited subset: 44 of the 133 credited deals have a private equity or PE-backed buyer (33.1 percent), against 190 of 1,473 across the whole index (12.9 percent).

Firm names are grouped the same way the deal index groups them, so that legal suffixes and sub-brands collapse into one entry. That grouping is imperfect and we list the cases it misses below.

The league table

Advisors credited on publicly announced 2026 tech deals we tracked. That is the whole claim in the title of this table, and it is deliberately not "the most active advisors in tech M&A", because most tech deals never name an advisor. 26 firms were credited on two or more deals. The remaining 80 firms were credited once each and are listed immediately after.

The 80 firms credited once

These firms each appear on exactly one publicly announced 2026 tech deal in the index. Alphabetically:

4GC, Accretive Partners, AGBA & SME, Agreeance, Ameris Capital, Arcadia Capital, Ardea Partners, ATB Cormark, Atlanticus Advisors, Azure Capital, Bailey & Company, Bank Street Group, Berenberg, BMO Capital Markets, Cantor Fitzgerald, Cascadia Capital, Centerview Partners, CIBC Capital Markets, Citi, Citizens Financial Group, Continuum, Corum Group, Crestone Advisors, D. Boral Capital, Deutsche Bank, DNB Carnegie, EHVM Apps Capital, Equirus Capital, Equiteq, Evercore, GBS Finance, Good Harbor Partners, Harris Williams, Healthcare Growth Partners, I-ADVI, IA Global Capital, JEGI LEONIS, Kaizen Equity Partners, KeyBanc Capital Markets, KippsDeSanto, L40, Lamkin Road, Lazard, Lincoln International, LionTree, Logros Advisory Partners, Madison Park Group, Makanta, MartinWolf, Mediobanca, Morgan Stanley, Novistra Capital, Oppenheimer, Park Avenue Capital Group, Perella Weinberg Partners, Pericles Capital Advisors, Presidio Technology Partners, Protiviti, PwC, Raine Group, Rockefeller Capital Management, Roth Capital Partners, Rothschild, Software Equity Group, Stifel, StrataGC, STS Advisors, Synergy Advisors, TD Securities, Tech+IP Finance, Telegraph Hill Advisors, TideLock Partners, Torch Partners, Trafalgar Capital Partners, Two Roads Advisors, UBS, William Blair, Woodbridge International, Woodland Park Capital Advisors, Year Champion

A single credit carries almost no information about a firm. It is equally consistent with a firm that closed one tech deal all year and a firm that closed fifteen and announced one.

What this table is not

Six things, stated plainly.

1. It is not market share

Market share requires a denominator you can measure. Ours is unmeasurable: 1,340 of 1,473 tracked deals (91.0 percent) name no sell-side advisor. If you divided a firm's credits by 133 you would be computing its share of the announcements, not its share of the market. Jefferies and J.P. Morgan sit at the top with 7 credits each, which is 4.6 percent of 152 credits and 0.5 percent of 1,473 tracked deals. Neither number says anything about how much tech M&A either firm ran.

2. It is not a quality ranking

Nothing here measures outcome. We do not know the price achieved against the original expectation, how many buyers were contacted, whether the seller would hire the firm again or whether the deal closed on the announced terms. A credit says a firm's name appeared in a press release. For quality signals you need references from sellers in your size band, and those are private.

3. Credit requires a public announcement, so real deal counts are higher

Every firm in this table advised on more 2026 tech deals than its credited count shows. That is true of Jefferies at 7 and it is true of the 80 firms at 1. Lower-middle-market advisors are hit hardest: their sellers are private, their buyers are often private, and neither party wants a price in the press. The firms most damaged by this methodology are exactly the ones a founder selling a $10M to $50M software business most needs to find.

4. It was wrong until August 21 and here is exactly what we changed

Building this page surfaced five defects in our own index. We fixed the index rather than footnoting the page. The rebuild ran on August 21, 2026 and every number here is computed from the corrected file.

• Wire-reissue collapse. The same acquirer plus the same story slug, ignoring the trailing press release id, now resolves to a single row. Our index had recorded the Pro Football Focus enterprise business sale to Teamworks twice from one wire, once as "Pro Football Focus's enterprise (B2B) business" and once as "PFF's Enterprise Business", both dated March 30, 2026. LionTree's credited count went from 2 to 1 and it now sits in the one-credit list below.
• Same-buyer same-price collapse. An identical disclosed price from one buyer inside a 180 day window now resolves to a single row. That merged a $60B SpaceX transaction carried under both "Cursor" and "Anysphere", which had been inflating the uncredited mean discussed further down this page.
• Advisor alias merge. Four firms had been split across name strings. FT Partners was "FT Partners" at 2 credits plus "Financial Technology Partners (FT Partners)" at 1 and now reads 3. Keefe, Bruyette & Woods was two entries at 1 each and now reads 2. Mizuho absorbed "Mizuho Greenhill" and reads 2. Raymond James and Canaccord Genuity now render without their trailing legal suffixes.

The index went from 1,478 rows to 1,473, credited deals from 134 to 133, and distinct credited firms from 109 to 106. FT Partners moved up into the group of 5 firms at three credits, Keefe, Bruyette & Woods and Mizuho moved up into the group of 17 firms at two, and LionTree moved down to one. The top four rows did not change.

5. What the fixes still cannot catch

Collapsing rows on acquirer, story slug and disclosed price does not catch one transaction announced separately by both parties under different target wording with no price attached. It does not catch a firm that rebranded mid-year and appears under two names sharing no string. It does not separate a bank's sector sub-brands where the announcement names only the parent. Those are the residual error classes we know about and cannot currently measure. If you find one, the correction route is at the bottom of this page.

6. One credit comes from a ProCloser client's own announcement

L40 is an M&A advisory firm and a ProCloser client. It appears in the one-credit list on the sale of Elipse.ai to Runtime Enterprises, announced August 12, 2026, and the source for that credit is L40's own published announcement rather than a company press release or filing. It is the only credit in the table sourced that way, it is 1 credit and not more, and we are pointing at it rather than leaving a reader to find it. The same standard applies to every other firm: send a link to a public announcement and the credit follows, and a commercial relationship with ProCloser does not add one.

The distribution

The shape of this table matters more than its top row. Here is every firm sorted by how many credits it holds.

Two facts fall out of that table. The first is that 80 of 106 firms, 75.5 percent, hold a single credit, and together they account for 52.6 percent of all credits. The second is that the four firms at the top hold 23 credits between them, 15.1 percent of the total. There is no long dominant tier and no meaningful concentration. What there is, is a very short head produced by which transactions get press releases.

Set against the whole index the picture is starker. 133 of 1,473 tracked deals (9.0 percent) name a sell-side advisor. 157 (10.7 percent) name an advisor on either side. Everything else is recorded with an empty advisor field, which is the honest answer rather than a guess.

By sector

Sector slices of a 133-deal sample are small by construction. They run from 6 credited deals in cybersecurity to 33 in SaaS, so treat each row as a description of what got announced rather than a shortlist.

Two patterns survive the small numbers. Data infrastructure has the highest credit rate at 15.2 percent, which fits a sector where semiconductor and data-centre transactions involve public buyers and 8-K filings. Vertical AI has the lowest at 4.7 percent, which fits a category dominated by acqui-hires and founder-to-strategic sales that never name a banker. Cybersecurity sits close behind at 6.2 percent for the same reason.

SaaS: credited on 33 of 290 tracked deals

32 firms appear. Jefferies (2), Houlihan Lokey (2), Raymond James (2), Vista Point Advisors (2), Marks Baughan Securities (2), Logros Advisory Partners, Kaizen Equity Partners, AXOM Partners, Citi, Ameris Capital, Crestone Advisors, Madison Park Group, Canaccord Genuity, KPMG, 4GC, Cascadia Capital, Cantor Fitzgerald, Arcadia Capital, Good Harbor Partners, Pericles Capital Advisors, Lincoln International, Lazard, TD Securities, Accretive Partners, Moelis & Company, Deutsche Bank, Piper Sandler, Torch Partners, Telegraph Hill Advisors, William Blair, J.P. Morgan, Centerview Partners

Fintech: credited on 22 of 182 tracked deals

21 firms appear. Keefe, Bruyette & Woods (2), PJT Partners (2), RBC Capital Markets (2), FT Partners (2), Barclays, Morgan Stanley, Houlihan Lokey, BMO Capital Markets, J.P. Morgan, D.A. Davidson, AXOM Partners, Ardea Partners, Arma Partners, Qatalyst Partners, D. Boral Capital, Citizens Financial Group, Corum Group, KeyBanc Capital Markets, JEGI LEONIS, Continuum, Maxim Group

Data infrastructure: credited on 19 of 125 tracked deals

18 firms appear. Jefferies (3), BofA Securities (2), UBS, Qatalyst Partners, Software Equity Group, Bank Street Group, D.A. Davidson, KippsDeSanto, Berenberg, Barclays, PwC, DNB Carnegie, LionTree, Equirus Capital, Mizuho, KPMG, Baird, Novistra Capital

Cybersecurity: credited on 6 of 96 tracked deals

7 firms appear. Piper Sandler (2), Arma Partners, IA Global Capital, Baird, Azure Capital, Stifel, Viking Mergers & Acquisitions

IT services: credited on 13 of 159 tracked deals

14 firms appear. Guggenheim Securities, MartinWolf, The McLean Group, Protiviti, Synergy Advisors, Harris Williams, Woodbridge International, Lamkin Road, STS Advisors, Viking Mergers & Acquisitions, Canaccord Genuity, Agreeance, StrataGC, Trafalgar Capital Partners

Vertical AI: credited on 8 of 171 tracked deals

11 firms appear. L40, Houlihan Lokey, Equiteq, Maxim Group, AGBA & SME, Year Champion, Guggenheim Securities, Roth Capital Partners, Park Avenue Capital Group, Atlanticus Advisors, TideLock Partners

What the credited deals have in common

The credited subset is not a random sample of tech M&A. It is systematically larger, more sponsor-heavy and more disclosure-prone than the index as a whole, and that is the single most useful thing to understand before quoting any number from this page.

Disclosure, not value

Among tracked deals that disclose a price, the median disclosed value is $386M where a sell-side advisor is credited and $100M where none is. That gap is real in the data and it does not mean what a marketing page would claim it means.

Both medians are conditioned on the deal disclosing a value at all, and disclosure is not random. Only 236 of 1,473 tracked deals publish a price. A transaction big enough to require an 8-K or attract trade coverage is far more likely to do two things at once: publish a number and name a bank. So the $386M figure describes the kind of deal that gets written about, not the effect of hiring someone.

The mean runs the opposite way and proves the point. Mean disclosed value is $875M on credited deals against $1.81B on uncredited ones, because a handful of very large uncredited transactions dominate that average. That figure moved on August 21, 2026, from $2.08B to $1.81B, when the duplicated $60B SpaceX row described above was merged. One row changed the mean by more than $250M, which is a useful measure of how thin the disclosed sample is. If the median were evidence that advisors raise price, the mean would be evidence that they lower it. Neither claim is supported.

Size band of the credited deals

95 of the 133 credited deals publish no value at all. Of the 38 that do, only 13 fall below $200M, and just 1 falls under $20M. Public credits are close to useless as evidence about the lower middle market, which is where most founder-owned software companies get sold. Our valuation benchmarks view works the same problem from the price side.

Buyer type and geography

44 of the 133 credited deals (33.1 percent) have a private equity or PE-backed buyer, against 190 of 1,473 across the index (12.9 percent). Sponsors run banked processes and put the bank in the release. 32 of the credited deals (24.1 percent) are cross-border, against 329 of 1,473 tracked (22.3 percent), so cross-border transactions are also modestly over-represented among credited deals. If you are selling to a strategic buyer in a private process, expect your advisor to finish the year uncredited on your deal.

How to use this when hiring an advisor

The correct use of this table is narrow. It tells you which firms have public, checkable, dated evidence of selling a tech company in 2026, and it tells you which sectors that evidence exists in. It cannot tell you who is best, and for anything below roughly $200M it barely tells you anything.

If your business is likely to sell above $500M

The top rows are relevant to you and the credits are close to a real signal, because deals in that band get announced. Look at the sectors column and the largest disclosed column together. A firm whose credits sit entirely in data infrastructure is a different animal from one whose credits sit in fintech, even at the same count. Then ignore the count and interview on process design, buyer coverage and who at the firm will run your deal day to day.

If your business is likely to sell between $50M and $500M

Use the sector sections, not the ranking. Our guide to investment banks and advisors for $20M to $200M SaaS exits covers this band directly.

Sector specialists surface here occasionally rather than reliably. Piper Sandler in cybersecurity, FT Partners in fintech, Marks Baughan Securities and Vista Point Advisors in SaaS all appear because a few of their deals got announced, and those credited transactions are the ones worth reading in full. Two credits versus one credit is noise in this band. What is not noise is whether the credited deals look like your deal: same sector, comparable buyer type, comparable size.

If your business is likely to sell below $50M

This table cannot help you choose, and pretending otherwise would be dishonest. Only 13 credited deals in the entire dataset have a disclosed value under $200M and only 1 under $20M. The firms that do most of the work in that band are systematically invisible in public credits. Go to the lower middle market guide and boutique advisory firms instead, and weight seller references above anything published.

Three questions the table is genuinely good for

• Has this firm sold a company like mine, in public, this year? Click the source link. Read the announcement. That is a fact you can hold.
• Does this firm work with my likely buyer type? A firm whose credits cluster on sponsor deals runs a different process from one whose credits cluster on strategic acquirers.
• Is a claim I was told in a pitch meeting checkable? If a firm tells you it was the most active advisor in your sector in 2026, ask which announced deals. Then check them here or in the raw index.

How advisors get credited and how to correct this table

If your firm belongs in this table and is missing, the fix takes one email and no money.

Send a link to the public announcement. Email corrections@procloser.ai or use the contact form with the target, the acquirer, the announcement date and a URL. If the source names your firm as sell-side advisor on a technology or SaaS acquisition announced in 2026, the deal row goes into the index and the credit follows on the next rebuild. Corrections to an existing row work the same way: if we recorded a firm name wrong, merged two firms that are separate or split one firm across two strings, send the row ID and the correction.

What we cannot accept. A private client list. A logo wall. A transaction with no dated public source. A request to remove a credit that a published announcement supports. Payment, in any form, for inclusion or position. There is no paid tier here and there is no submission fee, which is also why the table is smaller than a vendor league table.

What happens to the numbers when we add a deal. Every count on this page is computed from the deal file rather than typed by hand, so a new row changes the league table, the distribution, the sector splits and the medians together. That is the point of publishing the dataset alongside the page: if you think a number here is wrong, you can download deals.json or deals.csv and recompute it yourself. The data is CC BY 4.0, so you can republish it with attribution.

Related resources

• Best M&A advisors for AI companies. The 15 firms with a verifiable record on AI and applied-AI software deals.
• Best cybersecurity M&A advisors. 15 firms ranked on security deal record, with the firms we excluded and why.
• Best fintech M&A advisors. 15 firms across payments, banking software, insurtech and wealthtech.
• ProCloser Tech M&A Deal Index: the full row-level record of all 1,473 tracked 2026 deals, with buyer type, sector, disclosed value and a source link on every row. Everything on this page is derived from it.
• Advisor league view: the live version of this table, including buy-side credits and per-firm pages. Where it disagrees with this page, it is newer.
• Tech M&A insights: monthly deal volume, buyer mix and advisor trends across the index.
• Most active tech acquirers of 2026: the buy-side companion to this page, ranked by deals completed rather than deals announced with a banker.
• Tech M&A valuation benchmarks: what the 236 disclosed-value deals in the index printed, by sector and size band.
• SaaS deal slice and vertical AI deal slice: the two largest sector views, with the same source links.
• $20M to $200M deal slice: the lower-middle-market band where public advisor credits are thinnest.
• Best M&A advisors for SaaS and technology companies: the curated counterpart to this table, built on firm-level research rather than credit counts.
• Best investment banks and advisors for $20M to $200M SaaS exits: the band where 12 of our credited deals sit.
• Best M&A advisory firms for lower middle market companies: for sellers below the disclosure threshold entirely.
• Best boutique M&A advisory firms: sector specialists that rarely surface in public credits.
• Best cross-border tech M&A advisors, US to Europe: relevant to the 32 credited deals that cross a border.
• EBITDA multiples by industry: the pricing context this table deliberately does not provide.
• Get matched to an M&A advisor: sector, size and buyer-type matching, free for sellers.

Frequently asked questions

Who were the most active M&A advisors in tech in 2026?

No public dataset can answer that, and this table does not claim to. What it shows is which firms were publicly credited. Across the 1,473 tech and SaaS acquisitions ProCloser tracked between January 2 and August 20, 2026, only 133 deals (9.0 percent) named a sell-side advisor in a public source. Those 133 deals produced 152 credits across 106 distinct firms. Jefferies and J.P. Morgan tied at the top with 7 credited deals each, Houlihan Lokey had 5 and Raymond James had 4. Five firms had 3, seventeen firms had 2 and 80 firms appeared exactly once. Because 1,340 tracked deals name nobody, the true activity ranking is unknowable from public sources, and a firm that quietly closed 20 lower-middle-market deals would appear here with a zero.

Why does this league table only have 133 deals when you tracked 1,473?

Because a credit requires an advisor to be named in a public announcement, and 91.0 percent of tracked tech deals do not name one. Lower-middle-market sellers rarely issue a press release, private buyers have no filing obligation, and most acquirers announce the acquisition without listing the bankers. Of the 133 credited deals, 89 came from a company press release, 26 from news coverage, 17 from an SEC 8-K and 1 from an advisor's own published announcement. We record a deal with no advisor rather than guessing one, so the difference between 133 and 1,473 measures disclosure, not proof of 1,340 companies selling without help.

Is a firm with 7 credits seven times more active than a firm with 1 credit?

No, and treating the numbers that way is the main error this page exists to prevent. A credit measures publicity, not volume. Bulge-bracket and large mid-market firms cluster at the top of this table partly because their deals involve public companies and private equity buyers who publish press releases and file 8-Ks. A boutique advising a founder-owned software company in a quiet sale to a strategic buyer produces no announcement at all. With 80 of 106 firms sitting at exactly one credit, the tail of this table is a measurement artifact rather than a ranking of small firms.

I am selling a $30M ARR software company. Should I pick an advisor from the top of this table?

Not on the basis of credit count. The top of the table skews toward deals with public-company or large-sponsor buyers, and several of those firms have practice minimums well above a $30M ARR business. Use the table in the other direction: filter to the sector rows that match your buyer set, then look at the disclosed deal sizes attached to each firm. In our credited set, 12 deals fell in the $20M to $200M disclosed band and 1 fell under $20M, which tells you that the lower-middle-market end of tech M&A is almost entirely invisible in public data. For a business at that size, our lower middle market and $20M to $200M SaaS exit guides are more useful starting points than a credit count.

Why is the median disclosed value higher on advised deals ($386M) than on unadvised deals ($100M)?

It is a disclosure effect, not proof that hiring an advisor raises price. Both medians are conditioned on the deal disclosing a value at all, and disclosure itself is not random. Only 236 of 1,473 tracked deals disclose a price. Among the 133 credited deals, 38 disclose (28.6 percent). Among the 1,340 uncredited deals, 198 disclose (14.8 percent). Deals large enough to require an 8-K or attract press coverage are far more likely to do both things at once: name a value and name a banker. The mean runs the other way, $875M on credited deals against $1.81B on uncredited ones, because a handful of very large uncredited transactions dominate that average. Nothing here supports a causal claim about advisor value.

How do I get my firm added to this table?

Send us a link to the public announcement. The rule is mechanical: if a company press release, an acquirer press release, an SEC filing, credible trade coverage or your own published transaction announcement names your firm as sell-side advisor on a tech or SaaS acquisition announced in 2026, we add the deal row and the credit follows automatically. Email corrections@procloser.ai or use the contact form. We do not accept a private client list, a tombstone page with no deal detail, or a claim that cannot be checked against a dated public source, and we do not charge for inclusion.

What counts as a tech deal in this dataset?

We track acquisitions of software, SaaS and technology-enabled businesses across eleven sector labels: SaaS, fintech, vertical AI, IT services, data infrastructure, cybersecurity, healthtech, martech, devtools, ecommerce tech and a general other tech bucket. The dataset covers announcements from January 2 through August 20 of 2026 and includes global deals rather than US-only ones. It excludes pure financing rounds, minority investments that are not framed as an acquisition, and asset purchases with no operating business attached. It is deduplicated: a wire story reissued under a second release id, or the same buyer paying an identical disclosed price twice within 180 days, resolves to one row. The full row-level data is published as open CSV and JSON under CC BY 4.0.

My firm advised on a 2026 tech deal that never got announced. Does that count?

Not in this table, and that is a deliberate limit rather than an oversight. If a transaction has no public announcement, we have no way to verify the parties, the date or the advisory role, and a league table built on unverifiable submissions is the exact thing this page was built to avoid. Most published M&A league tables accept self-reported submissions from the firms themselves, which is why they show far larger deal counts and far cleaner rankings. Ours shows 133 deals because that is what we can point at. If your unannounced deal later becomes public through a filing, a customer announcement or a portfolio page, send it and it goes in.

Which advisors show up most in cybersecurity and vertical AI?

Almost nobody, which is the finding. Cybersecurity had 96 tracked 2026 deals and only 6 credited a sell-side advisor, spread across 7 firms, with Piper Sandler the only firm credited twice. Vertical AI had 171 tracked deals and only 8 credited ones across 11 firms, with no firm credited more than once. Both sectors are dominated by acqui-hires, founder-to-strategic sales and private-buyer transactions that never name a banker. If you are selling in either category, do not read a thin sector table as a shortlist. Read it as evidence that public credits will not help you choose, and go to references and process design instead.

Do you count buy-side advisors in this ranking?

No. This table counts only credits on the sell side. Counting both sides in one number rewards firms for representing acquirers, which is a different business from selling a company and is not what a founder is shopping for. Across the same 1,473 deals, 157 name an advisor on either side, 132 distinct firms appear and there are 243 total advisory roles. Our deal index advisor league view publishes both columns side by side if you want the buy-side counts.

Are there errors in this table?

Building this table surfaced five in our own index, and we fixed them on August 21, 2026 rather than footnoting them. Two deduplication rules went in. Wire-reissue collapse means the same acquirer plus the same story slug, ignoring the trailing press release id, now resolves to one row, which merged the Pro Football Focus enterprise business sale to Teamworks that had been recorded twice under two target names and dropped LionTree from 2 credits to 1. Same-buyer same-price collapse means an identical disclosed price from one buyer within 180 days resolves to one row, which merged a $60B SpaceX transaction recorded under both Cursor and Anysphere. An advisor alias map then merged four split firms: FT Partners reads 3 instead of 2 plus 1, Keefe, Bruyette & Woods reads 2, Mizuho absorbs Mizuho Greenhill at 2, and Raymond James and Canaccord Genuity render without their trailing legal suffixes. The index went from 1,478 rows to 1,473, credited deals from 134 to 133 and credited firms from 109 to 106. What the rules still cannot catch is one transaction announced separately by both parties under different target wording with no disclosed price.

How often is this table updated?

The underlying deal index is rebuilt from source as new announcements are collected, and this page carries the date of the extract it was built from. This version reflects the extract rebuilt on August 21, 2026 after the corrections described above, covering announcements through August 20, 2026. Counts here will drift from the live advisor league view at /deals/advisors/ between rebuilds, and the live view is the newer of the two. Where the two disagree, treat the live view as current and this page as a dated snapshot with the reasoning attached.

Sources

Every credited deal in this table links to the announcement that produced the credit, in the table row itself. The underlying data and the code path that generates these counts are public:

• deals.json: the full open dataset, 1,473 rows, generated August 21, 2026, covering announcements from 2026-01-02 to 2026-08-20. Licensed CC BY 4.0.
• deals.csv: the same data in CSV, including the raw advisor name strings before grouping.
• Deal index and advisor league view: the browsable views, rebuilt from the same file.
• Deal index feed: new tracked deals as they are added.

Source composition of the 133 credited deals: 90 company or acquirer press releases, 26 news articles, 17 SEC 8-K filings and 1 advisor announcement. The most frequent naming sources were www.prnewswire.com (67), www.globenewswire.com (19), www.sec.gov (17), www.citybiz.co (8), pulse2.com (5), www.newswire.com (2). One credit, L40 on the Elipse.ai sale to Runtime Enterprises, is sourced from the advisor's own announcement.

Cite this page as: ProCloser.ai, "Most Active M&A Advisors in Tech (2026 League Table)", August 21, 2026, https://procloser.ai/blog/most-active-ma-advisors-tech-2026/. Cite the data as "ProCloser Tech M&A Deal Index" with a link.