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Cloud HCM Adoption And Global Payroll Expansion Will Transform Long Term Earnings Power

Published
12 Apr 26
Views
39
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AnalystHighTarget's Fair Value
n/a
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1Y
-29.4%
7D
9.0%

Author's Valuation

US$33235.5% undervalued intrinsic discount

AnalystHighTarget Fair Value

Catalysts

About Automatic Data Processing

Automatic Data Processing provides payroll, human capital management and outsourced HR solutions to employers of all sizes around the world.

What are the underlying business or industry changes driving this perspective?

  • Growing adoption of cloud based HCM platforms like Workforce Now Next Gen and ADP Lyric, including wins with clients above 1,000 employees and two clients above 20,000 employees, can widen ADP's addressable base and support Employer Services revenue and earnings.
  • Rising employer focus on automation, compliance and AI driven decision support, reflected in strong demand for Lyric and ADP Assist agents across payroll, tax and HR, can increase product usage intensity and support higher revenue per client and operating margins.
  • Expansion of global payroll and workforce management, including the ADP WorkForce Suite and wins like the 75,000 employee European bank, positions ADP to benefit as multinational employers centralize HR and payroll, which can support sustained international revenue contribution and EBIT margins.
  • Healthy demand for outsourcing through Employer Services and PEO solutions, supported by high client satisfaction and strong value perception around benefits and co employment, can support recurring revenue stability and help protect net margins.
  • Embedding services such as Fiserv CashFlow Central into RUN powered by ADP, together with cross selling of Retirement and Insurance Services in the small business segment, can lift product attach rates and support revenue growth and earnings.
NasdaqGS:ADP Earnings & Revenue Growth as at Apr 2026
NasdaqGS:ADP Earnings & Revenue Growth as at Apr 2026

Assumptions

How have these above catalysts been quantified?

  • This narrative explores a more optimistic perspective on Automatic Data Processing compared to the consensus, based on a Fair Value that aligns with the bullish cohort of analysts.
  • The bullish analysts are assuming Automatic Data Processing's revenue will grow by 6.5% annually over the next 3 years.
  • The bullish analysts assume that profit margins will increase from 20.0% today to 21.4% in 3 years time.
  • The bullish analysts expect earnings to reach $5.5 billion (and earnings per share of $13.94) by about April 2029, up from $4.2 billion today. The analysts are largely in agreement about this estimate.
  • In order for the above numbers to justify the price target of the more bullish analyst cohort, the company would need to trade at a PE ratio of 29.5x on those 2029 earnings, up from 17.9x today. This future PE is greater than the current PE for the US Professional Services industry at 18.2x.
  • The bullish analysts expect the number of shares outstanding to decline by 0.81% per year for the next 3 years.
  • To value all of this in today's terms, we will use a discount rate of 7.48%, as per the Simply Wall St company report.
NasdaqGS:ADP Future EPS Growth as at Apr 2026
NasdaqGS:ADP Future EPS Growth as at Apr 2026

Risks

What could happen that would invalidate this narrative?

  • PEO growth is already moderating, with average worksite employee growth guided to about 2% for fiscal 2026 and PEO revenue growth excluding zero margin pass throughs guided at 3% to 5%. If small and mid sized employers keep leaning toward lower cost options or delay adopting co employment solutions, revenue growth and PEO margins could be pressured.
  • International and large enterprise deals, such as the 75,000 employee European bank and Lyric wins with companies above 20,000 employees, take a long time to implement and are lower margin than some domestic and down market businesses. Any delays, higher delivery costs or project complications could weigh on Employer Services margins and consolidated earnings.
  • Client funds interest revenue and the extended investment strategy are meaningful profit contributors, with client funds interest revenue guided to US$1.31b to US$1.33b and extended investment impact guided to US$1.27b to US$1.29b. A lower yield environment or smaller average client funds balances over time could reduce this income stream and limit adjusted EBIT margin expansion and EPS growth.
  • ADP is investing heavily in AI agents, global platforms and sales tools while also targeting adjusted EBIT margin expansion of 50 to 70 basis points in fiscal 2026. If product, AI or distribution investments run higher than planned or do not translate into sufficient pricing power or bookings, operating expenses could outpace revenue growth and reduce net margins and earnings.

Valuation

How have all the factors above been brought together to estimate a fair value?

  • The assumed bullish price target for Automatic Data Processing is $332.0, which represents up to two standard deviations above the consensus price target of $260.6. This valuation is based on what can be assumed as the expectations of Automatic Data Processing's future earnings growth, profit margins and other risk factors from analysts on the bullish end of the spectrum.
  • However, there is a degree of disagreement amongst analysts, with the most bullish reporting a price target of $332.0, and the most bearish reporting a price target of just $208.0.
  • In order for you to agree with the more bullish analyst cohort, you'd need to believe that by 2029, revenues will be $25.6 billion, earnings will come to $5.5 billion, and it would be trading on a PE ratio of 29.5x, assuming you use a discount rate of 7.5%.
  • Given the current share price of $188.79, the analyst price target of $332.0 is 43.1% higher.
  • We always encourage you to reach your own conclusions though. So sense check these analyst numbers against your own assumptions and expectations based on your understanding of the business and what you believe is probable.

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Disclaimer

AnalystHighTarget is a tool utilizing a Large Language Model (LLM) that ingests data on consensus price targets, forecasted revenue and earnings figures, as well as the transcripts of earnings calls to produce qualitative analysis. The narratives produced by AnalystHighTarget are general in nature and are based solely on analyst data and publicly-available material published by the respective companies. These scenarios are not indicative of the company's future performance and are exploratory in nature. Simply Wall St has no position in the company(s) mentioned. Simply Wall St may provide the securities issuer or related entities with website advertising services for a fee, on an arm's length basis. These relationships have no impact on the way we conduct our business, the content we host, or how our content is served to users. The price targets and estimates used are consensus data, and do not constitute a recommendation to buy or sell any stock, and they do not take account of your objectives, or your financial situation. Note that AnalystHighTarget's analysis may not factor in the latest price-sensitive company announcements or qualitative material.

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