Tearsheet

Match (MTCH)


Market Price (6/23/2026): $35.255 | Market Cap: $8.2 BilSector: Communication Services | Industry: Interactive Media & Services

Match (MTCH)


Market Price (6/23/2026): $35.255
Market Cap: $8.2 Bil
Sector: Communication Services
Industry: Interactive Media & Services

Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.

0

Attractive yield
Total YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 10%, Dividend Yield is 2.2%, ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is 6.0%, FCF Yield is 12%

Attractive operating margins
Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is 28%

Attractive cash flow generation
CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 31%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 29%

Stock buyback support
Stock Buyback 3Y Total is 2.0 Bil

Low stock price volatility
Vol 12M is 32%

Megatrend and thematic drivers
Megatrends include Digital Connection & Socialization, and E-commerce & Digital Retail. Themes include Online Dating Platforms, and Online Marketplaces.

Weak multi-year price returns
2Y Excs Rtn is -22%, 3Y Excs Rtn is -88%

Key risks
MTCH key risks include [1] declining user engagement and monetization at its flagship Tinder brand and [2] reputational damage and regulatory costs stemming from user safety incidents on its platforms.

0 Attractive yield
Total YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 10%, Dividend Yield is 2.2%, ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is 6.0%, FCF Yield is 12%
1 Attractive operating margins
Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is 28%
2 Attractive cash flow generation
CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 31%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 29%
3 Stock buyback support
Stock Buyback 3Y Total is 2.0 Bil
4 Low stock price volatility
Vol 12M is 32%
5 Megatrend and thematic drivers
Megatrends include Digital Connection & Socialization, and E-commerce & Digital Retail. Themes include Online Dating Platforms, and Online Marketplaces.
6 Weak multi-year price returns
2Y Excs Rtn is -22%, 3Y Excs Rtn is -88%
7 Key risks
MTCH key risks include [1] declining user engagement and monetization at its flagship Tinder brand and [2] reputational damage and regulatory costs stemming from user safety incidents on its platforms.

MTCH in ETFs

Weight = MTCH's share of each fund

VTI0.01%
ITOT0.01%
IWB0.01%
IJR0.50%
VYM0.04%
VB0.10%
IJS1.0%
VIOV0.99%
+17 more covered ETFs

Valuation & Metrics

Price Chart

Why The Stock Moved

Qualitative Assessment

AI Analysis | Feedback

Updated on 6/15/2026

Match (MTCH) stock has gained about 10% since 2/28/2026 because of the following key factors:

1. Stronger-than-anticipated Q1 2026 financial performance. Match Group reported revenues of $863.9 million for fiscal Q1 2026, surpassing analyst estimates of $854.5 million. Concurrently, Adjusted EBITDA reached $342.9 million, a 25% increase year-over-year, significantly exceeding the $317.3 million consensus estimate. This outperformance was also reflected in GAAP EPS of $0.68, which beat estimates of $0.61.

2. Evidence of a product-led turnaround at Tinder and continued robust growth from Hinge. Tinder, a key revenue driver, showed signs of recovery with the slowest decline in monthly active users (MAU) in 31 months, narrowing to -7% in March and improving to -6.6% in April. User retention turned positive, and new registrations saw a return to growth. Simultaneously, Hinge continued its strong trajectory, with direct revenue surging 28% year-over-year to $194.5 million in fiscal Q1 2026, remaining on track towards its goal of $1 billion in revenue by 2027.

Show more
Updated on 6/15/2026

Match (MTCH) stock has gained about 10% since 2/28/2026 because of the following key factors:

1. Stronger-than-anticipated Q1 2026 financial performance. Match Group reported revenues of $863.9 million for fiscal Q1 2026, surpassing analyst estimates of $854.5 million. Concurrently, Adjusted EBITDA reached $342.9 million, a 25% increase year-over-year, significantly exceeding the $317.3 million consensus estimate. This outperformance was also reflected in GAAP EPS of $0.68, which beat estimates of $0.61.

2. Evidence of a product-led turnaround at Tinder and continued robust growth from Hinge. Tinder, a key revenue driver, showed signs of recovery with the slowest decline in monthly active users (MAU) in 31 months, narrowing to -7% in March and improving to -6.6% in April. User retention turned positive, and new registrations saw a return to growth. Simultaneously, Hinge continued its strong trajectory, with direct revenue surging 28% year-over-year to $194.5 million in fiscal Q1 2026, remaining on track towards its goal of $1 billion in revenue by 2027.

3. Improved profitability driven by monetization strategies and cost discipline. Despite a 5% year-over-year decline in total payers to 13.5 million, Match Group successfully increased its revenue per payer (RPP) by 10% to $20.90, demonstrating effective monetization through pricing and feature enhancements. This, combined with operational restructuring and cost-saving initiatives—including a $100 million minority investment in Sniffies, winding down the Archer app for an anticipated $10 million in annualized savings, and consolidating MG Asia for an expected $15 million in annualized cost savings—contributed to an expansion of the Adjusted EBITDA margin to 40% from 33% in the prior year. Additionally, the rescission of Canada's digital services tax positively impacted Adjusted EBITDA by $11 million in the quarter.

Show less
Holding a concentrated position? Know your true downside before the momentum shifts.
Protect Your Wealth →

Stock Movement Drivers

Fundamental Drivers

The 12.2% change in MTCH stock from 2/28/2026 to 6/22/2026 was primarily driven by a 7.0% change in the company's Net Income Margin (%).
(LTM values as of)22820266222026Change
Stock Price ($)31.4035.2412.2%
Change Contribution By: 
Total Revenues ($ Mil)3,4873,5200.9%
Net Income Margin (%)17.6%18.8%7.0%
P/E Multiple12.012.43.3%
Shares Outstanding (Mil)2352330.6%
Cumulative Contribution12.2%

LTM = Last Twelve Months as of date shown

Market Drivers

2/28/2026 to 6/22/2026
ReturnCorrelation
MTCH12.2% 
Market (SPY)8.8%49.2%
Sector (XLC)-9.2%48.2%

Fundamental Drivers

The 7.1% change in MTCH stock from 11/30/2025 to 6/22/2026 was primarily driven by a 16.2% change in the company's Net Income Margin (%).
(LTM values as of)113020256222026Change
Stock Price ($)32.9135.247.1%
Change Contribution By: 
Total Revenues ($ Mil)3,4693,5201.5%
Net Income Margin (%)16.2%18.8%16.2%
P/E Multiple14.112.4-11.8%
Shares Outstanding (Mil)2412333.0%
Cumulative Contribution7.1%

LTM = Last Twelve Months as of date shown

Market Drivers

11/30/2025 to 6/22/2026
ReturnCorrelation
MTCH7.1% 
Market (SPY)9.5%44.1%
Sector (XLC)-6.8%44.7%

Fundamental Drivers

The 20.5% change in MTCH stock from 5/31/2025 to 6/22/2026 was primarily driven by a 19.1% change in the company's Net Income Margin (%).
(LTM values as of)53120256222026Change
Stock Price ($)29.2535.2420.5%
Change Contribution By: 
Total Revenues ($ Mil)3,4513,5202.0%
Net Income Margin (%)15.8%18.8%19.1%
P/E Multiple13.512.4-7.8%
Shares Outstanding (Mil)2512337.6%
Cumulative Contribution20.5%

LTM = Last Twelve Months as of date shown

Market Drivers

5/31/2025 to 6/22/2026
ReturnCorrelation
MTCH20.5% 
Market (SPY)27.7%41.5%
Sector (XLC)6.7%42.5%

Fundamental Drivers

The 5.8% change in MTCH stock from 5/31/2023 to 6/22/2026 was primarily driven by a 97.9% change in the company's Net Income Margin (%).
(LTM values as of)53120236222026Change
Stock Price ($)33.3035.245.8%
Change Contribution By: 
Total Revenues ($ Mil)3,1773,52010.8%
Net Income Margin (%)9.5%18.8%97.9%
P/E Multiple30.812.4-59.7%
Shares Outstanding (Mil)27923319.6%
Cumulative Contribution5.8%

LTM = Last Twelve Months as of date shown

Market Drivers

5/31/2023 to 6/22/2026
ReturnCorrelation
MTCH5.8% 
Market (SPY)85.1%38.2%
Sector (XLC)77.4%37.0%

Return vs. Risk

Price Returns Compared

 202120222023202420252026Total [1]
Returns
MTCH Return-13%-69%-12%-10%1%11%-76%
Peers Return35%-47%79%21%6%-13%43%
S&P 500 Return27%-19%24%23%16%10%100%

Monthly Win Rates [3]
MTCH Win Rate42%17%42%33%50%33% 
Peers Win Rate60%31%67%50%48%50% 
S&P 500 Win Rate75%42%67%75%67%50% 

Max Drawdowns [4]
MTCH Max Drawdown-30%-71%-47%-25%-25%-12% 
Peers Max Drawdown-32%-55%-31%-32%-38%-40% 
S&P 500 Max Drawdown-5%-25%-10%-8%-19%-9% 


[1] Cumulative total returns since the beginning of 2021
[2] Peers: Z, ZIP, PPLI, GOOGL, META. See MTCH Returns vs. Peers.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 6/22/2026 (YTD)

How Low Can It Go

EventMTCHS&P 500
2025 US Tariff Shock
  % Loss-21.1%-18.8%
  % Gain to Breakeven26.8%23.1%
  Time to Breakeven107 days79 days
2023 SVB Regional Banking Crisis
  % Loss-32.4%-6.7%
  % Gain to Breakeven47.9%7.1%
  Time to Breakeven61 days31 days
2020 COVID-19 Crash
  % Loss-37.6%-33.7%
  % Gain to Breakeven60.3%50.9%
  Time to Breakeven27 days140 days
Q4 2018 Fed Policy Error / Growth Scare
  % Loss-36.7%-19.2%
  % Gain to Breakeven58.0%23.8%
  Time to Breakeven74 days105 days
2016-2017 Trump Reflation Bond Selloff
  % Loss-13.6%-3.7%
  % Gain to Breakeven15.8%3.9%
  Time to Breakeven8 days6 days
2015-2016 China Devaluation / Global Growth Scare
  % Loss-38.1%-12.2%
  % Gain to Breakeven61.6%13.9%
  Time to Breakeven126 days62 days

Compare to Z, ZIP, PPLI, GOOGL, META

In The Past

Match's stock fell -21.1% during the 2025 US Tariff Shock. Such a loss loss requires a 26.8% gain to breakeven.

Preserve Wealth

Limiting losses and compounding gains is essential to preserving wealth.

Asset Allocation

Actively managed asset allocation strategies protect wealth. Learn more.

EventMTCHS&P 500
2025 US Tariff Shock
  % Loss-21.1%-18.8%
  % Gain to Breakeven26.8%23.1%
  Time to Breakeven107 days79 days
2023 SVB Regional Banking Crisis
  % Loss-32.4%-6.7%
  % Gain to Breakeven47.9%7.1%
  Time to Breakeven61 days31 days
2020 COVID-19 Crash
  % Loss-37.6%-33.7%
  % Gain to Breakeven60.3%50.9%
  Time to Breakeven27 days140 days
Q4 2018 Fed Policy Error / Growth Scare
  % Loss-36.7%-19.2%
  % Gain to Breakeven58.0%23.8%
  Time to Breakeven74 days105 days
2015-2016 China Devaluation / Global Growth Scare
  % Loss-38.1%-12.2%
  % Gain to Breakeven61.6%13.9%
  Time to Breakeven126 days62 days
2014-2016 Oil Price Collapse
  % Loss-38.1%-6.8%
  % Gain to Breakeven61.6%7.3%
  Time to Breakeven126 days15 days

Compare to Z, ZIP, PPLI, GOOGL, META

In The Past

Match's stock fell -21.1% during the 2025 US Tariff Shock. Such a loss loss requires a 26.8% gain to breakeven.

Preserve Wealth

Limiting losses and compounding gains is essential to preserving wealth.

Asset Allocation

Actively managed asset allocation strategies protect wealth. Learn more.

About Match (MTCH)

Match Group, Inc. is a global technology company specializing in online dating products and services. Its fundamental business is to connect individuals worldwide seeking romantic relationships, friendships, or companionship through its extensive portfolio of digital platforms.

The company owns and operates many of the most popular dating applications and websites globally. Its flagship brands include Tinder, known for its swipe-based matching; Match, a pioneering subscription-based dating service; and Hinge, which focuses on meaningful connections. Other significant brands like OkCupid, PlentyOfFish, Meetic, Pairs, and OurTime cater to diverse demographics and relationship goals, collectively serving a vast international market of individuals looking for various types of romantic engagements.

AI Analysis | Feedback

Meta Platforms for dating

Netflix for dating apps

AI Analysis | Feedback

  • Tinder: A popular mobile dating application known for its swipe-based interface to connect users.
  • Match: A long-standing online dating service designed to help singles find compatible partners.
  • Meetic: A leading European online dating service connecting individuals across various countries.
  • OkCupid: An online dating app that utilizes a comprehensive questionnaire to match users based on compatibility.
  • Hinge: A dating app focused on fostering serious relationships by encouraging users to connect over shared interests and prompts.
  • Pairs: A dating app primarily popular in Asian markets, facilitating connections and relationships.
  • PlentyOfFish (PoF): A widely used online dating service that allows users to connect for free.
  • OurTime: A specialized dating service catering to singles over the age of 50.

AI Analysis | Feedback

Match Group, Inc. (MTCH) sells primarily to individuals who use its dating products and services. Based on its diverse portfolio of brands, the company serves various categories of customers:

  1. Younger Adults and Broad-Appeal Daters: This category includes users of brands like Tinder, Hinge, OkCupid, and PlentyOfFish. These platforms generally cater to a wide age range, predominantly younger adults (20s-30s) but extending into the 40s, seeking a spectrum of connections from casual dating and social interaction to serious relationships.
  2. Mid-Life Adults and Serious Relationship Seekers: This segment is primarily served by brands such as Match and Meetic. Users in this category are often in their 30s, 40s, and 50s, and typically have a more defined intent towards finding long-term, committed relationships.
  3. Older Adults and Mature Daters: Specifically addressed by brands like OurTime, this customer category focuses on individuals aged 50 and above who are looking for companionship, friendships, and romantic relationships with peers in their age group.

AI Analysis | Feedback

  • Apple Inc. (AAPL)
  • Alphabet Inc. (GOOGL)
  • Amazon.com, Inc. (AMZN)

AI Analysis | Feedback

Spencer Rascoff, Chief Executive Officer Spencer Rascoff was appointed Match Group CEO in February 2025. He is a seasoned entrepreneur and technology leader who co-founded Zillow and served as its CEO for a decade, scaling the company to over 4,500 employees, $3 billion in revenue, and a $10 billion market capitalization. Rascoff also co-founded Hotwire, an online travel marketplace, and Pacaso, a proptech company focused on second-home ownership. He began his career in investment banking at Goldman Sachs and in private equity at TPG Capital. Rascoff has been an active investor and advisor to numerous high-growth technology companies across marketplaces, media, and AI. Steven Bailey, Chief Financial Officer Steven Bailey was promoted to Chief Financial Officer of Match Group, effective March 1, 2025. He joined Match Group in 2012 and has held various finance leadership roles within the company, including Senior Vice President, Financial Planning & Business Operations from 2022 to 2025, and CFO, Match Group Americas from 2021 to 2022. Prior to joining Match Group, Bailey held roles at Dow Jones from 2011 to 2012 and Heritage Building Group from 2004 to 2011. Gary Swidler, President Gary Swidler assumed the role of President of Match Group on March 1, 2025, transitioning from his previous position as Chief Financial Officer. He joined Match Group in 2015 as CFO, just before the company's IPO in November of that year. Before joining Match Group, Swidler spent 18 years at Bank of America Merrill Lynch, where he held various positions, including Managing Director and Head of the Financial Institutions Investment Banking Group. Earlier in his career, he was an associate at the New York City-based law firm Wachtell, Lipton, Rosen & Katz. Sean Edgett, Chief Legal Officer & Secretary Sean Edgett was appointed Chief Legal Officer & Secretary of Match Group, effective September 23, 2024. He previously served as Chief Legal Officer & Secretary at UPSIDE Foods from April 2023 to September 2024. Before that, he spent over a decade at Twitter, Inc. (now X), holding various executive legal roles, including Senior Vice President and General Counsel from February 2018 to October 2022. His prior experience also includes being a Director of Legal at NetApp from 2010 to 2012, and practicing law at Latham & Watkins and Akin Gump. D.V. Williams, Chief People Officer D.V. Williams was appointed Chief People Officer of Match Group, effective September 13, 2022. In this role, he oversees global people operations, including compensation, benefits, people information systems, diversity, equity, and inclusion, and learning & development. Prior to joining Match Group, Williams served as Chief People Officer at Cars.com, where he led all aspects of human resources and diversity, equity, and inclusion for over three years. Before Cars.com, he led Human Resources, Strategy, and Enabling Functions at Tyson Foods, Inc., where he was involved in strategic initiatives including acquisitions and integrations. He began his career with nearly a decade at Whirlpool Corporation in various human resources roles.

AI Analysis | Feedback

Here are the key risks to Match Group (MTCH):

  1. Intense Competition and Challenges in User Growth and Monetization: Match Group operates in a highly competitive online dating market, facing significant pressure from rivals like Bumble. A predominant risk stems from the slowing growth and monetization challenges, particularly with its flagship brand, Tinder, which, along with Hinge, accounts for approximately 94% of the company's operating income. The company has also faced a persistent issue in converting its large base of free users into paying subscribers.
  2. Data Privacy, Security, and Evolving Regulatory Landscape: As a company that handles vast amounts of personal user data, Match Group is exposed to substantial risks related to data privacy and security. The increasing scrutiny from regulatory bodies and the introduction of new age-verification laws in various regions are creating a complex compliance environment and heightening concerns about data security and potential legal liabilities.
  3. Financial Health and Capital Structure Concerns: Several financial indicators suggest potential risks to Match Group's financial health. These include a low Altman Z-Score, which can signal financial distress, and a balance sheet that is more leveraged compared to some of its peers. The company has also reported negative equity and tangible book value, partly due to aggressive share buybacks, and has experienced sluggish earnings and revenue growth, leading some to question its valuation and long-term financial stability.

AI Analysis | Feedback

The rise of advanced generative AI models capable of creating sophisticated AI companions presents an emerging threat. These AI companions offer personalized and engaging interactions, potentially fulfilling emotional and social needs for some individuals that might otherwise lead them to seek connections through traditional dating apps. This new form of digital companionship could subtly reduce the addressable market for human-to-human dating services by providing an alternative outlet for connection and interaction.

AI Analysis | Feedback

Match Group's addressable market is the global online dating market. This market was valued at approximately USD 10.28 billion in 2024 and is projected to grow to about USD 19.33 billion by 2033, expanding at a compound annual growth rate (CAGR) of 7.27% from 2025 to 2033. Other estimates for the global online dating market size include:
  • USD 5.64 billion in 2025, predicted to increase to approximately USD 11.27 billion by 2034, with a CAGR of 8.00% from 2025 to 2034.
  • USD 8.80 billion in 2024, projected to reach USD 30.08 billion by 2035, representing a CAGR of 11.82% during the forecast period of 2024-2035.
  • USD 9.60 billion in 2025, with a projection to grow to approximately USD 19.50 billion by 2034, exhibiting a CAGR of 7.5% to 8.0% from 2026 to 2034.
Match Group itself states that its addressable market encompasses approximately 700 million available singles globally, excluding China, aged 18-65. Regionally, North America has consistently been the largest market for online dating, holding a significant share of the global market (ranging from 36% to 39% in recent years). Within North America, the U.S. accounts for a substantial portion. Asia-Pacific is identified as the fastest-growing region in the online dating market.

AI Analysis | Feedback

Here are 3-5 expected drivers of future revenue growth for Match Group (MTCH) over the next 2-3 years:
  1. Continued Growth and International Expansion of Hinge: Hinge is consistently highlighted as a strong performer within Match Group's portfolio, with expectations for continued robust direct revenue growth. The brand is on track to achieve $1 billion in revenue by 2027 and is actively expanding its international presence, particularly in European markets, Mexico, Brazil, and India.
  2. Tinder's Turnaround Driven by Product Innovation and Increased Marketing: While Tinder has experienced revenue declines, Match Group is focused on a strategic turnaround through significant product innovation, user experience improvements, and increased marketing spend. Initiatives include enhancing recommendation algorithms, implementing features like "DoubleDate" and "FaceCheck," and focusing on improving engagement quality, new registrations, and monthly active user (MAU) trends, especially among Gen Z users.
  3. Monetization Optimizations and Increased Revenue Per Payer (RPP): Match Group has demonstrated an ability to increase Revenue Per Payer (RPP). This is expected to continue through various monetization optimizations, new feature introductions, and the strategic use of AI to improve relevance and matching. These efforts aim to enhance the user experience and drive higher engagement, which in turn can lead to increased subscriber value.
  4. Growth from Emerging and Asia-Focused Brands: Beyond Tinder and Hinge, Match Group anticipates positive revenue growth from its "Emerging" brands and has noted the potential for double-digit revenue growth from Azar. Match Group Asia has also shown an increase in payers in certain areas, indicating growth opportunities in these markets through continued product development and localized strategies.

AI Analysis | Feedback

Share Repurchases

  • Match Group's Board of Directors authorized the repurchase of up to an additional $1.5 billion in shares, effective once the existing authorization, which had $247 million remaining, is exhausted.
  • In the full year 2025, Match Group repurchased 24.7 million shares of its common stock for a total of $789 million.
  • As of January 31, 2026, $959 million in aggregate value of shares remained available under the company's share repurchase program.

Share Issuance

  • In 2021, Match Group completed the acquisition of Hyperconnect for $1.725 billion, with 50% of the transaction funded by the issuance of 5.9 million shares of Match Group common stock.
  • The company's stock-based compensation, which typically leads to share issuance, was $204 million in 2022, $232 million in 2023, and $267 million in 2024.
  • Despite issuances, Match Group has seen a decline in its shares outstanding over the last few years, with 0.27 billion in 2023, 0.25 billion in 2024, and 0.23 billion in 2025.

Outbound Investments

  • In June 2021, Match Group acquired Hyperconnect, a social discovery and video technology company, for $1.725 billion.
  • Match Group made several other acquisitions, including The League in July 2022, The Fresh New Group in October 2022, Salams in April 2025, and Her (a lesbian dating app) in May 2025.
  • The company's strategy involves acquiring rising competitors to integrate them into its ecosystem.

Capital Expenditures

  • Match Group's capital expenditures for the fiscal year ending December 2025 amounted to $56.765 million.
  • Average capital expenditures for the fiscal years 2021 to 2025 were approximately $60.77 million.
  • The primary focus of capital expenditures includes technological innovation, refining algorithms, enhancing user interfaces, and investing in AI-driven product innovation and trust-and-safety features.

Better Bets vs. Match (MTCH)

Latest Trefis Analyses

Recent Active Movers

Peer Comparisons

Peers to compare with:

Financials

MTCHZZIPPPLIGOOGLMETAMedian
NameMatch Zillow ZipRecru.People Alphabet Meta Pla. 
Mkt Price35.2430.313.0141.51349.68563.8538.38
Mkt Cap8.27.10.3-4,230.81,428.88.2
Rev LTM3,5202,6934462,622422,499214,9623,106
Op Inc LTM98813-9-29138,12988,593500
FCF LTM1,0202971134064,42948,253680
FCF 3Y Avg936217415569,47450,101576
CFO LTM1,08246417355174,353124,000773
CFO 3Y Avg99541950154138,01398,823707

Growth & Margins

MTCHZZIPPPLIGOOGLMETAMedian
NameMatch Zillow ZipRecru.People Alphabet Meta Pla. 
Rev Chg LTM2.0%16.8%-3.3%-10.2%17.5%26.2%9.4%
Rev Chg 3Y Avg3.5%12.6%-18.8%-4.3%14.1%22.4%8.1%
Rev Chg Q3.9%18.4%-2.3%286.0%21.8%33.1%20.1%
QoQ Delta Rev Chg LTM0.9%4.3%-0.6%73.3%4.9%7.0%4.6%
Op Inc Chg LTM12.9%108.1%2.8%87.5%17.5%21.2%19.4%
Op Inc Chg 3Y Avg5.1%29.0%-46.5%-13.3%24.3%50.4%14.7%
Op Mgn LTM28.1%0.5%-2.1%-1.1%32.7%41.2%14.3%
Op Mgn 3Y Avg26.8%-6.3%2.5%-5.3%31.5%40.5%14.6%
QoQ Delta Op Mgn LTM2.2%1.7%2.2%4.9%0.7%-0.2%2.0%
CFO/Rev LTM30.7%17.2%3.9%13.5%41.3%57.7%24.0%
CFO/Rev 3Y Avg28.7%17.9%9.4%6.1%37.3%55.9%23.3%
FCF/Rev LTM29.0%11.0%2.4%12.9%15.2%22.4%14.1%
FCF/Rev 3Y Avg27.0%9.1%7.6%3.4%19.3%29.3%14.2%

Valuation

MTCHZZIPPPLIGOOGLMETAMedian
NameMatch Zillow ZipRecru.People Alphabet Meta Pla. 
Mkt Cap8.27.10.3-4,230.81,428.88.2
P/S2.32.70.6-10.06.62.7
P/Op Inc8.3549.5-27.3-30.616.116.1
P/EBIT8.687.135.0-21.615.721.6
P/E12.4117.1-10.1-26.420.220.2
P/CFO7.615.414.5-24.311.514.5
Total Yield10.3%0.9%-9.9%-4.0%5.3%4.0%
Dividend Yield2.2%0.0%0.0%-0.2%0.4%0.2%
FCF Yield 3Y Avg11.5%1.9%6.3%-3.2%3.6%3.6%
D/E0.50.12.2-0.00.10.1
Net D/E0.4-0.00.7--0.00.00.0

Returns

MTCHZZIPPPLIGOOGLMETAMedian
NameMatch Zillow ZipRecru.People Alphabet Meta Pla. 
1M Rtn-1.6%-16.6%-4.4%-0.5%-8.6%-7.5%-6.0%
3M Rtn13.7%-32.4%42.0%-0.5%15.8%-6.6%6.6%
6M Rtn8.8%-55.9%-33.6%-0.5%13.0%-14.6%-7.5%
12M Rtn17.9%-55.6%-39.9%-0.5%110.4%-17.1%-8.8%
3Y Rtn-11.5%-36.9%-81.9%-0.5%188.4%97.0%-6.0%
1M Excs Rtn-2.6%-17.4%-10.7%-1.0%-10.6%-7.3%-8.9%
3M Excs Rtn-0.7%-45.9%25.1%-15.3%1.4%-19.8%-8.0%
6M Excs Rtn-1.5%-67.1%-48.5%-11.6%6.8%-24.2%-17.9%
12M Excs Rtn-5.9%-80.1%-64.9%-25.4%77.4%-43.6%-34.5%
3Y Excs Rtn-88.1%-105.2%-152.7%-71.4%114.4%37.2%-79.7%

Comparison Analyses

Financials

Segment Financials

Revenue by Segment
$ Mil20252024202320222021
Tinder1,9251,9911,964  
Hinge691550396  
Evergreen & Emerging608654701  
Match Group ( MG) Asia268285303  
Eliminations-5-10  
Connections   3,1892,983
Total3,4873,4793,3653,1892,983


Operating Income by Segment
$ Mil20252024202320192018
Tinder833889956  
Hinge16612174  
Evergreen & Emerging636682  
Match Group ( MG) Asia6-32-9  
Corporate and unallocated costs-196-221-187  
ANGI Homeservices   3964
Applications   11495
Corporate   -184-160
Dotdash   2919
Emerging & Other   -1330
Match Group   649553
Vimeo   -52-36
Total873823917581565


Assets by Segment
$ Mil20182017201620152014
Corporate2,1141,0581,0101,4911,251
Match Group1,9192,0072,0401,915 
ANGI Homeservices1,7651,415279  
Applications725861619625 
Vimeo121    
Emerging & Other108    
Deferred tax assets6566   
Dotdash58    
Publishing 207436736 
Video 254261111 
HomeAdvisor   189 
Other   143 
Match    1,304
Media    102
Search & Applications    1,372
eCommerce    245
Total6,8755,8684,6465,2104,275


Price Behavior

Price Behavior
Market Price$35.24 
Market Cap ($ Bil)8.2 
First Trading Date11/19/2015 
Distance from 52W High-8.9% 
   50 Days200 Days
DMA Price$35.72$33.21
DMA Trendindeterminateup
Distance from DMA-1.4%6.1%
 3M1YR
Volatility32.0%31.9%
Downside Capture133.15120.21
Upside Capture118.94106.82
Correlation (SPY)50.9%41.7%
MTCH Betas & Captures as of 5/31/2026

 1M2M3M6M1Y3Y
Beta1.521.571.051.081.090.93
Up Beta1.481.300.991.161.180.84
Down Beta0.870.730.610.680.930.84
Up Capture68%153%128%119%110%78%
Bmk +ve Days13283667141432
Stock +ve Days10253463130373
Down Capture312%262%113%120%113%104%
Bmk -ve Days7132757109318
Stock -ve Days10162860119374

[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
Annualized
Return
Annualized
Volatility
Sharpe
Ratio
Correlation
with MTCH
MTCH19.1%31.8%0.57-
Sector ETF (XLC)4.6%13.6%0.0941.7%
Equity (SPY)26.1%12.4%1.5941.7%
Gold (GLD)24.1%27.5%0.770.9%
Commodities (DBC)18.5%18.8%0.77-16.3%
Real Estate (VNQ)11.8%13.8%0.5730.6%
Bitcoin (BTCUSD)-40.2%42.5%-1.0921.3%

Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
Annualized
Return
Annualized
Volatility
Sharpe
Ratio
Correlation
with MTCH
MTCH-24.0%44.1%-0.48-
Sector ETF (XLC)7.0%20.7%0.2554.6%
Equity (SPY)13.4%17.1%0.6150.5%
Gold (GLD)17.1%18.3%0.764.8%
Commodities (DBC)7.5%19.4%0.287.2%
Real Estate (VNQ)2.1%18.9%0.0141.0%
Bitcoin (BTCUSD)9.4%54.1%0.3722.0%

Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
Annualized
Return
Annualized
Volatility
Sharpe
Ratio
Correlation
with MTCH
MTCH13.3%47.0%0.44-
Sector ETF (XLC)8.7%22.2%0.4549.8%
Equity (SPY)15.4%18.0%0.7345.3%
Gold (GLD)12.2%16.1%0.625.5%
Commodities (DBC)6.0%18.0%0.2611.0%
Real Estate (VNQ)5.4%20.7%0.2335.2%
Bitcoin (BTCUSD)59.9%66.8%1.0012.8%

Smart multi-asset allocation framework can stack odds in your favor. Learn How

Short Interest

Short Interest: As Of Date5292026
Short Interest: Shares Quantity10.2 Mil
Short Interest: % Change Since 515202611.9%
Average Daily Volume2.9 Mil
Days-to-Cover Short Interest3.6 days
Basic Shares Quantity233.4 Mil
Short % of Basic Shares4.4%

Earnings Returns History

Updated 6/8/2026
Expand for More
 Forward Returns
Earnings Date1D Returns5D Returns21D Returns
5/5/20260.9%-6.1%-7.7%
2/3/20265.9%12.4%8.3%
11/4/20255.2%4.4%9.4%
8/5/202510.5%8.0%10.9%
5/8/2025-9.6%-3.2%4.8%
2/4/2025-7.9%-7.0%-14.1%
11/6/2024-17.9%-18.8%-13.1%
7/30/202413.2%5.9%9.1%
...
SUMMARY STATS   
# Positive131211
# Negative101112
Median Positive5.2%5.1%9.1%
Median Negative-7.9%-9.8%-10.3%
Max Positive13.2%12.4%13.8%
Max Negative-17.9%-18.8%-26.3%
Collapse to Preview
 Forward Returns
Earnings Date1D Returns5D Returns21D Returns
5/5/20260.9%-6.1%-7.7%
2/3/20265.9%12.4%8.3%
11/4/20255.2%4.4%9.4%
8/5/202510.5%8.0%10.9%
5/8/2025-9.6%-3.2%4.8%
2/4/2025-7.9%-7.0%-14.1%
11/6/2024-17.9%-18.8%-13.1%
7/30/202413.2%5.9%9.1%
5/7/2024-5.4%1.4%3.8%
1/30/20241.7%-4.5%-4.5%
10/31/2023-15.3%-13.3%-6.4%
8/1/2023-0.9%-2.9%0.1%
1/31/2023-5.0%-9.8%-22.9%
11/1/20224.2%0.5%13.8%
8/2/2022-17.6%-15.9%-26.3%
5/3/20226.2%-11.1%6.5%
2/1/20225.3%0.3%-8.1%
11/2/20213.0%4.7%-13.6%
8/3/2021-5.0%-12.3%-12.5%
5/4/20213.4%5.4%-1.5%
2/2/2021-8.0%5.8%-4.3%
11/4/20204.9%3.7%13.0%
8/4/202012.2%7.4%9.2%
SUMMARY STATS   
# Positive131211
# Negative101112
Median Positive5.2%5.1%9.1%
Median Negative-7.9%-9.8%-10.3%
Max Positive13.2%12.4%13.8%
Max Negative-17.9%-18.8%-26.3%

SEC Filings

Expand for More
Report DateFiling DateFiling
03/31/202605/06/202610-Q
12/31/202502/26/202610-K
09/30/202511/05/202510-Q
06/30/202508/06/202510-Q
03/31/202505/08/202510-Q
12/31/202402/27/202510-K
09/30/202411/12/202410-Q
06/30/202408/01/202410-Q
03/31/202405/08/202410-Q
12/31/202302/23/202410-K
09/30/202311/02/202310-Q
06/30/202308/03/202310-Q
03/31/202305/05/202310-Q
12/31/202202/24/202310-K
09/30/202211/04/202210-Q
06/30/202208/05/202210-Q
Collapse to Preview
Report DateFiling DateFiling
03/31/202605/06/202610-Q
12/31/202502/26/202610-K
09/30/202511/05/202510-Q
06/30/202508/06/202510-Q
03/31/202505/08/202510-Q
12/31/202402/27/202510-K
09/30/202411/12/202410-Q
06/30/202408/01/202410-Q
03/31/202405/08/202410-Q
12/31/202302/23/202410-K
09/30/202311/02/202310-Q
06/30/202308/03/202310-Q
03/31/202305/05/202310-Q
12/31/202202/24/202310-K
09/30/202211/04/202210-Q
06/30/202208/05/202210-Q
03/31/202205/06/202210-Q
12/31/202102/24/202210-K
09/30/202111/08/202110-Q
06/30/202108/06/202110-Q
03/31/202105/07/202110-Q
12/31/202002/25/202110-K
09/30/202011/06/202010-Q
06/30/202008/10/202010-Q
03/31/202005/08/202010-Q
12/31/201902/28/202010-K
09/30/201911/07/201910-Q
06/30/201908/09/201910-Q

Recent Forward Guidance

Updated 6/1/2026

Latest: Q1 2026 Earnings Reported 5/5/2026

Forward GuidanceGuidance Change
MetricLowMidHigh% Chg% DeltaChangePrior
Q2 2026 Revenue850.00 Mil855.00 Mil860.00 Mil   
Q2 2026 Adjusted EBITDA325.00 Mil327.50 Mil330.00 Mil   
Q2 2026 Adjusted EBITDA Margin 38.0%    
Q2 2026 Net Income160.00 Mil162.50 Mil165.00 Mil   
Q2 2026 Net Income Margin 19.0%    

Prior: Q4 2025 Earnings Reported 2/3/2026

Forward GuidanceGuidance Change
MetricLowMidHigh% Chg% DeltaChangePrior
Q1 2026 Total Revenue850.00 Mil855.00 Mil860.00 Mil-1.7% Lower NewActual: 870.00 Mil for Q4 2025
Q1 2026 Adjusted EBITDA315.00 Mil317.50 Mil320.00 Mil-9.9% Lower NewActual: 352.50 Mil for Q4 2025
Q1 2026 Adjusted EBITDA Margin 37.0% -9.8%-4.0%Lower NewActual: 41.0% for Q4 2025
2026 Total Revenue3.41 Bil3.47 Bil3.54 Bil   
2026 Adjusted EBITDA1.28 Bil1.30 Bil1.32 Bil   
2026 Adjusted EBITDA Margin 37.5%    
2026 Free Cash Flow1.08 Bil1.11 Bil1.14 Bil   
2026 Savings from alternative payments 90.00 Mil 0 AffirmedGuidance: 90.00 Mil for 2026

Insider Activity

Updated 6/18/2026
Expand for More
#OwnerTitleHoldingActionFiling DatePriceSharesTransacted
Value
Value of
Held Shares
Form
1Brenner, Melissa Anne DirectSell508202635.945,141184,761582,855Form
2Hosseini, HesamChief Operating OfficerDirectSell306202630.1359,013  Form
3Rascoff, Spencer MChief Executive OfficerDirectBuy1120202531.8414,000445,6915,256,866Form
4Eigenmann, Philip DChief Accounting OfficerDirectSell905202537.526,531245,024871,897Form
5McDaniel, Ann DirectSell829202537.585,423203,774823,889Form
Collapse to Preview
#OwnerTitleHoldingActionFiling DatePriceSharesTransacted
Value
Value of
Held Shares
Form
1Brenner, Melissa Anne DirectSell508202635.945,141184,761582,855Form
2Hosseini, HesamChief Operating OfficerDirectSell306202630.1359,013  Form
3Rascoff, Spencer MChief Executive OfficerDirectBuy1120202531.8414,000445,6915,256,866Form
4Eigenmann, Philip DChief Accounting OfficerDirectSell905202537.526,531245,024871,897Form
5McDaniel, Ann DirectSell829202537.585,423203,774823,889Form
6Rascoff, Spencer MChief Executive OfficerDirectBuy828202537.5713,250497,8615,663,514Form
7Bailey, Stephen DirectSell808202536.7212,500458,951295,858Form
Core Cache Last Updated: 6/22/2026