Wealth Management Debt Levels Defy Downward Moves in Equity Prices Across Public Peers in Contrast to Software, Where AI Impact Is Far Clearer and Immediate

Wealth management companies’ share prices declined as Altruist, a start-up wealth platform for independent advisors, announced the release of its tax-strategy AI tool, which “helps advisors create personalized tax strategies for clients by reading and interpreting their 1040s, paystubs, account statements, meeting notes, emails, and custodial and CRM data, and applying deep tax logic to the analysis.”

This report is published by the Private Company Analysis team and serves as an introductory overview into the sponsored wealth management space, given the selloff in equity prices among listed peers. To request the Private Company Analysis research for Cetera, Citco, Creative Planning, Envestnet, EP Wealth Advisors, Focus Financial Partners, NFP Wealth, Janney Montgomery Scott, AssetMark and Osaic, click on the respective links. The deep-dive analyses are available for Private Company Analysis clients who are either creditors or had access to the deals at the syndicate stage.

The wealth management sector has been a popular buyout play over the past two years and now represents a sizable portion of the leveraged loan space. The sponsor activity was supported by favorable market conditions and a temporary earnings boost from cash sweep programs at IBDs and custodians. Since 2024, five companies have been acquired by private equity firms, while others have remained active through bolt-on acquisitions and dividend recapitalizations.

The valuation multiples were executed at reasonable levels across the peer set, with the exception of CW Advisors’ strategic acquisition by Osaic at 18.4x, which was supported by its higher growth profile. Similarly, NFP Wealth’s acquisition by Madison Dearborn Partners was completed at 14.9x.
 

Many deals have been priced tighter than the initial price talk and their previous spread levels, and have generally performed well in the secondary market.
 

The growth in the levfin wealth management space remains high and the sector has been performing well. It has been historically heavily reliant on acquisitions, reflected in the large growth-rate fluctuations in the chart below, while the deals that have asset-based revenue benefited from rising rates in 2023.

Despite the fall in share prices of the listed wealth management businesses, the debt prices of the leveraged finance players have remained relatively stable.
 

This contrasts with the software space, which saw debt prices sell off alongside equities. However, there have been credit casualties outside of the software space where the impact of AI is much more near term and obvious, such as among business process outsourcing companies or internet media.
 

With regards to potential future price action amid fears of AI disrupting the wealth management industry, it’s important to note the nuances and complexities of the business models of these companies and that certain more commoditized services may be at higher risk, and that the potential disruption will not happen overnight.

Our expectation is that any managers serving clients with smaller, simpler portfolios will be the first to be impacted by any technology that further commoditizes such services, while the larger, more complex portfolios that require bespoke service, solutions, execution and relationship management will prove much more defensive.

However, so far, the biggest impact of AI has been the integration of the technology by the existing players, as discussed later. It appears that similar to other industries, AI has so far served as a tool for the incumbent players to bolster their offerings and fight for market share and margins, as opposed to facing unrelenting competition from previously non-existent solutions. However, further commoditization of the services and systems underpinning the existing business models could lead to increased competition, eat away market share and compress fees in the medium term.

In terms of management commentary on investor calls, it has been relatively limited thus far. Custodians mention leveraging AI internally to automate trade processing, reconciliation, compliance monitoring and fraud detection to improve efficiency and scalability, while externally embedding AI into advisor-facing tools such as portfolio analytics, tax optimization and next-best-action insights to enhance decision-making and client engagement.

RIAs have not actively discussed any material impact from AI, nor have they highlighted specific AI initiatives aimed at optimizing operations.

Some IBDs have discussed AI primarily as a tool to enhance advisor productivity and client experience, focusing on workflow automation, meeting transcription and summarization, CRM integration, compliance monitoring, and data-driven insights.

Given the market dynamics, we would expect this to change and for the management teams to be quizzed on the topic going forward.

The key wealth management categories are outlined below:
 

• Private Banks / Private Wealth Management: Divisions within big banks, such as Morgan Stanley, Goldman Sachs, JP Morgan, etc., focusing on ultra-high-net-worth individuals.
• Registered Investment Advisors (RIAs): Generally smaller, independent firms. They have a “fiduciary duty,” meaning they are legally required to act in the client’s best interest.
  • RIAs operate a simple fee-based business model in which they provide fiduciary investment advice and financial planning services to clients in exchange for a percentage of assets under management (AUM), fixed fees or hourly fees.
• Custodians: Firms such as Charles Schwab or Fidelity that hold the actual assets and provide trading platforms for both retail investors and professional advisors.
  • A majority of the revenue is derived from the fees the firms charge as a percentage of platform assets for holding the assets.
  • In recent years, in a high-interest-rate environment, cash sweep programs have become an increasingly important source of revenue and EBITDA, as firms benefit from the net interest spread earned on client cash balances and what they pay to clients.
• Independent Broker-Dealers (IBDs) / Integrated Wealth Platform: Companies such as LPL Financial or Raymond James that provide the platforms for independent advisors to run their businesses, as well as a range of other services, and often sell proprietary products.
  • These platforms usually operate a hybrid broker-dealer and RIA platform model in which the companies support independent financial advisors who generate revenue through a mix of commission-based brokerage services and fee-based advisory programs, with fiduciary obligations applying to advisory accounts and a best-interest standard governing brokerage transactions.
  • Some other revenue streams include transaction-based fees, advisor platform and technology fees, custody and clearing services, and payments from financial product manufacturers based on assets or accounts supported.
  • Companies that either operate their own custody/clearing platforms or have revenue-sharing agreements with third-party custodians can benefit from increasing cash sweep revenue by participating in the net interest spread earned on client cash balances.

An overview of the various wealth management deals we have covered within these areas is below.
 

Custodians

• PCA Universe:
  • AssetMark (B+/B2), Envestnet (B3/B)
• Revenue Stream:
  • Asset-based fees: A primary revenue source, typically charged as a percentage of client assets held or administered on the platform, making revenue sensitive to market levels and asset flows.
  • Spread-based revenue: Income earned on client cash balances (e.g., cash sweep programs), which has increased in a higher-interest-rate environment but presents a risk should rates start falling.
  • These businesses are actively diversifying their revenue mix, expanding into subscription-based services and professional services. Envestnet is charging clients for access to its software platforms, technology tools, data services and other ongoing service offerings.
• Interest Rate Risk: An interest-rate cutting cycle, especially if politically driven, could compress high-margin interest-based revenue such as cash sweep income.

Independent Broker and Dealers

• PCA Universe
  • Osaic (B/B2), Cetera (B2), Janney Montgomery Scott (B/B1)
• Revenue Stream:
  • Advisory (fee-based) revenue: Ongoing asset-based fees charged on client assets, similar to pure RIA models. This provides recurring, market-linked revenue.
  • Commission revenue: Transaction-based compensation earned on product sales (e.g., mutual funds, annuities, insurance, structured products), creating event-driven income streams.
  • Trading and transaction fees: Fees generated from brokerage activity, ticket charges and other trading-related services.
  • Cash sweep revenue: Spread income earned on client cash balances through sweep programs, which has become more meaningful in a higher-interest-rate environment.
• Interest Rate Risk: Substantial, in relation to cash sweep revenue which is a high margin contributor to the broader revenue mix.

An example of what various revenue streams may look like is below. This particular example comes from Osaic, an independent broker-dealer. The majority of revenue is the “attachment revenue,” which represented three quarters of aggregate revenue as of LTM Q1’25.

Registered Investment Advisors

• PCA Universe
  • Creative Planning (BB-/Ba3), EP Wealth Advisors (B-/B2), NFP Wealth (B), Focus Financial Partners (B/B2)
• Revenue Stream:
  • The primary revenue source is a percentage fee charged on AUM.
• Interest Rate Risk: No.

RIAs, IBDs and custodians are structurally interdependent but serve different functions. RIAs and IBDs both compete for advisors and client relationships, but RIAs operate under a fiduciary, fee-based model, while IBDs provide brokerage supervision, compliance and platform infrastructure for affiliated advisors. Custodians sit underneath both models, safeguarding client assets, executing trades and running cash sweep programs. RIAs typically use third-party custodians directly, while IBDs may use affiliated clearing firms, allowing them to capture custody economics internally. As a result, some IBDs can partially compete with independent custodians when they operate their own clearing or custody platforms.

The core services offered by wealth managers are:
 

• Investment management, such as stock, bond, ETF picking;
• Financial planning, which can range from retirement planning, college savings, etc.;
• Tax strategy, which focuses on tax-loss harvesting and minimizing capital gains; and
• Estate planning, such as setting up trusts and inheritance structures.

However, there is a network effect underlying firms that operate in these markets.

One of the most common wealth manager monetization methods is the advisory fee model that is based on AUM for the client. On top of that, there can be commissions and product fees – for instance, earning a kickback for selling insurance or specific mutual funds.

However, to a certain extent, all of the mentioned core services can now be done by AI much faster and at a fraction of the cost, which puts significant pressure on the advisory fee. For instance, there have been start-ups announcing agentic brokerages which will ultimately be able to do such tasks as portfolio rebalancing, run trading strategies, manage risk and other functionalities in minutes where the users simply state their request in natural language.

Nevertheless, as a general rule of thumb with AI, the more complex and nuanced the task gets, generally there’s increased risk that AI may not be able to fully, accurately and consistently produce the output desired. Any less liquid products or tasks that require relationship management and execution should be far less at risk and possibly benefit from the advances based on conversations with advisors we had.

Companies that are likely to benefit from the shift in AI are the ones that have already taken steps toward AI-integration. For instance, Morgan Stanley has leaned heavily into AI for its wealth management division. In a recent UBS conference, MS representatives gave some insights into how financial advisors at Morgan Stanley have been using some of their tools. One of the proprietary tools is called Roth Conversion Analyst, which automatically ingests all of the client data and MS financial advisors can prompt it with forward-looking assumptions, run scenario analysis in real time, such as what if a client wants to give a big gift, if their income goes up, etc. A few other agent examples were shared, but arguably the most impressive was the one labeled as “Jarvis,” which essentially allows advisors to delegate complex, time-consuming tasks, such as building customized, back-tested portfolios or generating data-driven tax and relationship-deepening strategies, rather than just performing research. By automating the technical execution, it enables advisors to manage more clients while significantly reducing manual effort. When asked about the latest Altruist release and the selloff it sparked, Jed Finn, head of wealth management at Morgan Stanley, put it in perspective emphasizing that at MS, they have over 3,500 tools and have been working on integrating AI for a while now, finally stating, “We don’t write an article every time we release one [AI Tool], obviously.”

This is also an example of how the deployment of AI improves competitive positions and service offerings of existing players that seek to incorporate the latest advancements in technology as opposed to eroding their moats at present. Whether progress in the technology continues to commoditize ever more complex tasks and reduce barriers to entry is yet to be seen.

Coming into the space from the retail world is Robinhood, leveraging the use of AI and launching a robo-advisor offering personalized investment services that charge only a 0.25% fee. While this covers only a small portion of the broader business offered by these players, it highlights increased competition, especially in the areas with lower moats.
 

Robo-advisors themselves have grown in popularity over the past two decades, both across independent firms and also incumbents launching their own solutions or acquiring independents. Historically, the core target has been retail investors, though many of the platforms have been graduating to offer solutions to high-net-worth individuals through a variety of means. This trend is only likely to accelerate with the progress in AI.