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): $35.255Market Cap: $8.2 BilSector: Communication ServicesIndustry: Interactive Media & Services
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Attractive yieldTotal 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 marginsOp Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is 28% Attractive cash flow generationCFO/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 supportStock Buyback 3Y Total is 2.0 Bil Low stock price volatilityVol 12M is 32% Megatrend and thematic driversMegatrends include Digital Connection & Socialization, and E-commerce & Digital Retail. Themes include Online Dating Platforms, and Online Marketplaces. | Weak multi-year price returns2Y Excs Rtn is -22%, 3Y Excs Rtn is -88% | Key risksMTCH 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. |
| Attractive yieldTotal 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 marginsOp Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is 28% |
| Attractive cash flow generationCFO/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 supportStock Buyback 3Y Total is 2.0 Bil |
| Low stock price volatilityVol 12M is 32% |
| Megatrend and thematic driversMegatrends include Digital Connection & Socialization, and E-commerce & Digital Retail. Themes include Online Dating Platforms, and Online Marketplaces. |
| Weak multi-year price returns2Y Excs Rtn is -22%, 3Y Excs Rtn is -88% |
| Key risksMTCH 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. |
Qualitative Assessment
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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.
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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 $11 million in the quarter.
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Stock Movement Drivers
Fundamental Drivers
The 12.2% change in MTCH stock from 2/28/2026 to 6/22/2026 was primarily driven by a 7.0% change in the company's Net Income Margin (%).| (LTM values as of) | 2282026 | 6222026 | Change |
|---|---|---|---|
| Stock Price ($) | 31.40 | 35.24 | 12.2% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 3,487 | 3,520 | 0.9% |
| Net Income Margin (%) | 17.6% | 18.8% | 7.0% |
| P/E Multiple | 12.0 | 12.4 | 3.3% |
| Shares Outstanding (Mil) | 235 | 233 | 0.6% |
| Cumulative Contribution | 12.2% |
Market Drivers
2/28/2026 to 6/22/2026| Return | Correlation | |
|---|---|---|
| MTCH | 12.2% | |
| 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) | 11302025 | 6222026 | Change |
|---|---|---|---|
| Stock Price ($) | 32.91 | 35.24 | 7.1% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 3,469 | 3,520 | 1.5% |
| Net Income Margin (%) | 16.2% | 18.8% | 16.2% |
| P/E Multiple | 14.1 | 12.4 | -11.8% |
| Shares Outstanding (Mil) | 241 | 233 | 3.0% |
| Cumulative Contribution | 7.1% |
Market Drivers
11/30/2025 to 6/22/2026| Return | Correlation | |
|---|---|---|
| MTCH | 7.1% | |
| 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) | 5312025 | 6222026 | Change |
|---|---|---|---|
| Stock Price ($) | 29.25 | 35.24 | 20.5% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 3,451 | 3,520 | 2.0% |
| Net Income Margin (%) | 15.8% | 18.8% | 19.1% |
| P/E Multiple | 13.5 | 12.4 | -7.8% |
| Shares Outstanding (Mil) | 251 | 233 | 7.6% |
| Cumulative Contribution | 20.5% |
Market Drivers
5/31/2025 to 6/22/2026| Return | Correlation | |
|---|---|---|
| MTCH | 20.5% | |
| 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) | 5312023 | 6222026 | Change |
|---|---|---|---|
| Stock Price ($) | 33.30 | 35.24 | 5.8% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 3,177 | 3,520 | 10.8% |
| Net Income Margin (%) | 9.5% | 18.8% | 97.9% |
| P/E Multiple | 30.8 | 12.4 | -59.7% |
| Shares Outstanding (Mil) | 279 | 233 | 19.6% |
| Cumulative Contribution | 5.8% |
Market Drivers
5/31/2023 to 6/22/2026| Return | Correlation | |
|---|---|---|
| MTCH | 5.8% | |
| Market (SPY) | 85.1% | 38.2% |
| Sector (XLC) | 77.4% | 37.0% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| MTCH Return | -13% | -69% | -12% | -10% | 1% | 11% | -76% |
| Peers Return | 35% | -47% | 79% | 21% | 6% | -13% | 43% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 10% | 100% |
Monthly Win Rates [3] | |||||||
| MTCH Win Rate | 42% | 17% | 42% | 33% | 50% | 33% | |
| Peers Win Rate | 60% | 31% | 67% | 50% | 48% | 50% | |
| S&P 500 Win Rate | 75% | 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
| Event | MTCH | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -21.1% | -18.8% |
| % Gain to Breakeven | 26.8% | 23.1% |
| Time to Breakeven | 107 days | 79 days |
| 2023 SVB Regional Banking Crisis | ||
| % Loss | -32.4% | -6.7% |
| % Gain to Breakeven | 47.9% | 7.1% |
| Time to Breakeven | 61 days | 31 days |
| 2020 COVID-19 Crash | ||
| % Loss | -37.6% | -33.7% |
| % Gain to Breakeven | 60.3% | 50.9% |
| Time to Breakeven | 27 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -36.7% | -19.2% |
| % Gain to Breakeven | 58.0% | 23.8% |
| Time to Breakeven | 74 days | 105 days |
| 2016-2017 Trump Reflation Bond Selloff | ||
| % Loss | -13.6% | -3.7% |
| % Gain to Breakeven | 15.8% | 3.9% |
| Time to Breakeven | 8 days | 6 days |
| 2015-2016 China Devaluation / Global Growth Scare | ||
| % Loss | -38.1% | -12.2% |
| % Gain to Breakeven | 61.6% | 13.9% |
| Time to Breakeven | 126 days | 62 days |
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.
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| Event | MTCH | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -21.1% | -18.8% |
| % Gain to Breakeven | 26.8% | 23.1% |
| Time to Breakeven | 107 days | 79 days |
| 2023 SVB Regional Banking Crisis | ||
| % Loss | -32.4% | -6.7% |
| % Gain to Breakeven | 47.9% | 7.1% |
| Time to Breakeven | 61 days | 31 days |
| 2020 COVID-19 Crash | ||
| % Loss | -37.6% | -33.7% |
| % Gain to Breakeven | 60.3% | 50.9% |
| Time to Breakeven | 27 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -36.7% | -19.2% |
| % Gain to Breakeven | 58.0% | 23.8% |
| Time to Breakeven | 74 days | 105 days |
| 2015-2016 China Devaluation / Global Growth Scare | ||
| % Loss | -38.1% | -12.2% |
| % Gain to Breakeven | 61.6% | 13.9% |
| Time to Breakeven | 126 days | 62 days |
| 2014-2016 Oil Price Collapse | ||
| % Loss | -38.1% | -6.8% |
| % Gain to Breakeven | 61.6% | 7.3% |
| Time to Breakeven | 126 days | 15 days |
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.
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Meta Platforms for dating
Netflix for dating apps
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- 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.
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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:
- 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.
- 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.
- 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.
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- Apple Inc. (AAPL)
- Alphabet Inc. (GOOGL)
- Amazon.com, Inc. (AMZN)
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Here are the key risks to Match Group (MTCH):
- 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.
- 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.
- 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.
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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.
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- 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.
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- 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.
- 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.
- 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.
- 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.
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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.
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 38.38 |
| Mkt Cap | 8.2 |
| Rev LTM | 3,106 |
| Op Inc LTM | 500 |
| FCF LTM | 680 |
| FCF 3Y Avg | 576 |
| CFO LTM | 773 |
| CFO 3Y Avg | 707 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 9.4% |
| Rev Chg 3Y Avg | 8.1% |
| Rev Chg Q | 20.1% |
| QoQ Delta Rev Chg LTM | 4.6% |
| Op Inc Chg LTM | 19.4% |
| Op Inc Chg 3Y Avg | 14.7% |
| Op Mgn LTM | 14.3% |
| Op Mgn 3Y Avg | 14.6% |
| QoQ Delta Op Mgn LTM | 2.0% |
| CFO/Rev LTM | 24.0% |
| CFO/Rev 3Y Avg | 23.3% |
| FCF/Rev LTM | 14.1% |
| FCF/Rev 3Y Avg | 14.2% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 8.2 |
| P/S | 2.7 |
| P/Op Inc | 16.1 |
| P/EBIT | 21.6 |
| P/E | 20.2 |
| P/CFO | 14.5 |
| Total Yield | 4.0% |
| Dividend Yield | 0.2% |
| FCF Yield 3Y Avg | 3.6% |
| D/E | 0.1 |
| Net D/E | 0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | -6.0% |
| 3M Rtn | 6.6% |
| 6M Rtn | -7.5% |
| 12M Rtn | -8.8% |
| 3Y Rtn | -6.0% |
| 1M Excs Rtn | -8.9% |
| 3M Excs Rtn | -8.0% |
| 6M Excs Rtn | -17.9% |
| 12M Excs Rtn | -34.5% |
| 3Y Excs Rtn | -79.7% |
Comparison Analyses
Segment Financials
Revenue by Segment| $ Mil | 2025 | 2024 | 2023 | 2022 | 2021 |
|---|---|---|---|---|---|
| Tinder | 1,925 | 1,991 | 1,964 | ||
| Hinge | 691 | 550 | 396 | ||
| Evergreen & Emerging | 608 | 654 | 701 | ||
| Match Group ( MG) Asia | 268 | 285 | 303 | ||
| Eliminations | -5 | -1 | 0 | ||
| Connections | 3,189 | 2,983 | |||
| Total | 3,487 | 3,479 | 3,365 | 3,189 | 2,983 |
| $ Mil | 2025 | 2024 | 2023 | 2019 | 2018 |
|---|---|---|---|---|---|
| Tinder | 833 | 889 | 956 | ||
| Hinge | 166 | 121 | 74 | ||
| Evergreen & Emerging | 63 | 66 | 82 | ||
| Match Group ( MG) Asia | 6 | -32 | -9 | ||
| Corporate and unallocated costs | -196 | -221 | -187 | ||
| ANGI Homeservices | 39 | 64 | |||
| Applications | 114 | 95 | |||
| Corporate | -184 | -160 | |||
| Dotdash | 29 | 19 | |||
| Emerging & Other | -13 | 30 | |||
| Match Group | 649 | 553 | |||
| Vimeo | -52 | -36 | |||
| Total | 873 | 823 | 917 | 581 | 565 |
| $ Mil | 2018 | 2017 | 2016 | 2015 | 2014 |
|---|---|---|---|---|---|
| Corporate | 2,114 | 1,058 | 1,010 | 1,491 | 1,251 |
| Match Group | 1,919 | 2,007 | 2,040 | 1,915 | |
| ANGI Homeservices | 1,765 | 1,415 | 279 | ||
| Applications | 725 | 861 | 619 | 625 | |
| Vimeo | 121 | ||||
| Emerging & Other | 108 | ||||
| Deferred tax assets | 65 | 66 | |||
| Dotdash | 58 | ||||
| Publishing | 207 | 436 | 736 | ||
| Video | 254 | 261 | 111 | ||
| HomeAdvisor | 189 | ||||
| Other | 143 | ||||
| Match | 1,304 | ||||
| Media | 102 | ||||
| Search & Applications | 1,372 | ||||
| eCommerce | 245 | ||||
| Total | 6,875 | 5,868 | 4,646 | 5,210 | 4,275 |
Price Behavior
| Market Price | $35.24 | |
| Market Cap ($ Bil) | 8.2 | |
| First Trading Date | 11/19/2015 | |
| Distance from 52W High | -8.9% | |
| 50 Days | 200 Days | |
| DMA Price | $35.72 | $33.21 |
| DMA Trend | indeterminate | up |
| Distance from DMA | -1.4% | 6.1% |
| 3M | 1YR | |
| Volatility | 32.0% | 31.9% |
| Downside Capture | 133.15 | 120.21 |
| Upside Capture | 118.94 | 106.82 |
| Correlation (SPY) | 50.9% | 41.7% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 1.52 | 1.57 | 1.05 | 1.08 | 1.09 | 0.93 |
| Up Beta | 1.48 | 1.30 | 0.99 | 1.16 | 1.18 | 0.84 |
| Down Beta | 0.87 | 0.73 | 0.61 | 0.68 | 0.93 | 0.84 |
| Up Capture | 68% | 153% | 128% | 119% | 110% | 78% |
| Bmk +ve Days | 13 | 28 | 36 | 67 | 141 | 432 |
| Stock +ve Days | 10 | 25 | 34 | 63 | 130 | 373 |
| Down Capture | 312% | 262% | 113% | 120% | 113% | 104% |
| Bmk -ve Days | 7 | 13 | 27 | 57 | 109 | 318 |
| Stock -ve Days | 10 | 16 | 28 | 60 | 119 | 374 |
[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 | |
|---|---|---|---|---|
| MTCH | 19.1% | 31.8% | 0.57 | - |
| Sector ETF (XLC) | 4.6% | 13.6% | 0.09 | 41.7% |
| Equity (SPY) | 26.1% | 12.4% | 1.59 | 41.7% |
| Gold (GLD) | 24.1% | 27.5% | 0.77 | 0.9% |
| Commodities (DBC) | 18.5% | 18.8% | 0.77 | -16.3% |
| Real Estate (VNQ) | 11.8% | 13.8% | 0.57 | 30.6% |
| Bitcoin (BTCUSD) | -40.2% | 42.5% | -1.09 | 21.3% |
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% | 0.25 | 54.6% |
| Equity (SPY) | 13.4% | 17.1% | 0.61 | 50.5% |
| Gold (GLD) | 17.1% | 18.3% | 0.76 | 4.8% |
| Commodities (DBC) | 7.5% | 19.4% | 0.28 | 7.2% |
| Real Estate (VNQ) | 2.1% | 18.9% | 0.01 | 41.0% |
| Bitcoin (BTCUSD) | 9.4% | 54.1% | 0.37 | 22.0% |
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 | |
|---|---|---|---|---|
| MTCH | 13.3% | 47.0% | 0.44 | - |
| Sector ETF (XLC) | 8.7% | 22.2% | 0.45 | 49.8% |
| Equity (SPY) | 15.4% | 18.0% | 0.73 | 45.3% |
| Gold (GLD) | 12.2% | 16.1% | 0.62 | 5.5% |
| Commodities (DBC) | 6.0% | 18.0% | 0.26 | 11.0% |
| Real Estate (VNQ) | 5.4% | 20.7% | 0.23 | 35.2% |
| Bitcoin (BTCUSD) | 59.9% | 66.8% | 1.00 | 12.8% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Updated 6/8/2026| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 5/5/2026 | 0.9% | -6.1% | -7.7% |
| 2/3/2026 | 5.9% | 12.4% | 8.3% |
| 11/4/2025 | 5.2% | 4.4% | 9.4% |
| 8/5/2025 | 10.5% | 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% |
| 7/30/2024 | 13.2% | 5.9% | 9.1% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 13 | 12 | 11 |
| # Negative | 10 | 11 | 12 |
| Median Positive | 5.2% | 5.1% | 9.1% |
| Median Negative | -7.9% | -9.8% | -10.3% |
| Max Positive | 13.2% | 12.4% | 13.8% |
| Max Negative | -17.9% | -18.8% | -26.3% |
| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 5/5/2026 | 0.9% | -6.1% | -7.7% |
| 2/3/2026 | 5.9% | 12.4% | 8.3% |
| 11/4/2025 | 5.2% | 4.4% | 9.4% |
| 8/5/2025 | 10.5% | 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% |
| 7/30/2024 | 13.2% | 5.9% | 9.1% |
| 5/7/2024 | -5.4% | 1.4% | 3.8% |
| 1/30/2024 | 1.7% | -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% |
| 11/1/2022 | 4.2% | 0.5% | 13.8% |
| 8/2/2022 | -17.6% | -15.9% | -26.3% |
| 5/3/2022 | 6.2% | -11.1% | 6.5% |
| 2/1/2022 | 5.3% | 0.3% | -8.1% |
| 11/2/2021 | 3.0% | 4.7% | -13.6% |
| 8/3/2021 | -5.0% | -12.3% | -12.5% |
| 5/4/2021 | 3.4% | 5.4% | -1.5% |
| 2/2/2021 | -8.0% | 5.8% | -4.3% |
| 11/4/2020 | 4.9% | 3.7% | 13.0% |
| 8/4/2020 | 12.2% | 7.4% | 9.2% |
| SUMMARY STATS | |||
| # Positive | 13 | 12 | 11 |
| # Negative | 10 | 11 | 12 |
| Median Positive | 5.2% | 5.1% | 9.1% |
| Median Negative | -7.9% | -9.8% | -10.3% |
| Max Positive | 13.2% | 12.4% | 13.8% |
| Max Negative | -17.9% | -18.8% | -26.3% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 03/31/2026 | 05/06/2026 | 10-Q |
| 12/31/2025 | 02/26/2026 | 10-K |
| 09/30/2025 | 11/05/2025 | 10-Q |
| 06/30/2025 | 08/06/2025 | 10-Q |
| 03/31/2025 | 05/08/2025 | 10-Q |
| 12/31/2024 | 02/27/2025 | 10-K |
| 09/30/2024 | 11/12/2024 | 10-Q |
| 06/30/2024 | 08/01/2024 | 10-Q |
| 03/31/2024 | 05/08/2024 | 10-Q |
| 12/31/2023 | 02/23/2024 | 10-K |
| 09/30/2023 | 11/02/2023 | 10-Q |
| 06/30/2023 | 08/03/2023 | 10-Q |
| 03/31/2023 | 05/05/2023 | 10-Q |
| 12/31/2022 | 02/24/2023 | 10-K |
| 09/30/2022 | 11/04/2022 | 10-Q |
| 06/30/2022 | 08/05/2022 | 10-Q |
| Report Date | Filing Date | Filing |
|---|---|---|
| 03/31/2026 | 05/06/2026 | 10-Q |
| 12/31/2025 | 02/26/2026 | 10-K |
| 09/30/2025 | 11/05/2025 | 10-Q |
| 06/30/2025 | 08/06/2025 | 10-Q |
| 03/31/2025 | 05/08/2025 | 10-Q |
| 12/31/2024 | 02/27/2025 | 10-K |
| 09/30/2024 | 11/12/2024 | 10-Q |
| 06/30/2024 | 08/01/2024 | 10-Q |
| 03/31/2024 | 05/08/2024 | 10-Q |
| 12/31/2023 | 02/23/2024 | 10-K |
| 09/30/2023 | 11/02/2023 | 10-Q |
| 06/30/2023 | 08/03/2023 | 10-Q |
| 03/31/2023 | 05/05/2023 | 10-Q |
| 12/31/2022 | 02/24/2023 | 10-K |
| 09/30/2022 | 11/04/2022 | 10-Q |
| 06/30/2022 | 08/05/2022 | 10-Q |
| 03/31/2022 | 05/06/2022 | 10-Q |
| 12/31/2021 | 02/24/2022 | 10-K |
| 09/30/2021 | 11/08/2021 | 10-Q |
| 06/30/2021 | 08/06/2021 | 10-Q |
| 03/31/2021 | 05/07/2021 | 10-Q |
| 12/31/2020 | 02/25/2021 | 10-K |
| 09/30/2020 | 11/06/2020 | 10-Q |
| 06/30/2020 | 08/10/2020 | 10-Q |
| 03/31/2020 | 05/08/2020 | 10-Q |
| 12/31/2019 | 02/28/2020 | 10-K |
| 09/30/2019 | 11/07/2019 | 10-Q |
| 06/30/2019 | 08/09/2019 | 10-Q |
Recent Forward Guidance
Updated 6/1/2026Latest: Q1 2026 Earnings Reported 5/5/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| Q2 2026 Revenue | 850.00 Mil | 855.00 Mil | 860.00 Mil | ||||
| Q2 2026 Adjusted EBITDA | 325.00 Mil | 327.50 Mil | 330.00 Mil | ||||
| Q2 2026 Adjusted EBITDA Margin | 38.0% | ||||||
| Q2 2026 Net Income | 160.00 Mil | 162.50 Mil | 165.00 Mil | ||||
| Q2 2026 Net Income Margin | 19.0% | ||||||
Prior: Q4 2025 Earnings Reported 2/3/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| Q1 2026 Total Revenue | 850.00 Mil | 855.00 Mil | 860.00 Mil | -1.7% | Lower New | Actual: 870.00 Mil for Q4 2025 | |
| Q1 2026 Adjusted EBITDA | 315.00 Mil | 317.50 Mil | 320.00 Mil | -9.9% | Lower New | Actual: 352.50 Mil for Q4 2025 | |
| Q1 2026 Adjusted EBITDA Margin | 37.0% | -9.8% | -4.0% | Lower New | Actual: 41.0% for Q4 2025 | ||
| 2026 Total Revenue | 3.41 Bil | 3.47 Bil | 3.54 Bil | ||||
| 2026 Adjusted EBITDA | 1.28 Bil | 1.30 Bil | 1.32 Bil | ||||
| 2026 Adjusted EBITDA Margin | 37.5% | ||||||
| 2026 Free Cash Flow | 1.08 Bil | 1.11 Bil | 1.14 Bil | ||||
| 2026 Savings from alternative payments | 90.00 Mil | 0 | Affirmed | Guidance: 90.00 Mil for 2026 | |||
Insider Activity
Updated 6/18/2026| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Brenner, Melissa Anne | Direct | Sell | 5082026 | 35.94 | 5,141 | 184,761 | 582,855 | Form | |
| 2 | Hosseini, Hesam | Chief Operating Officer | Direct | Sell | 3062026 | 30.13 | 59,013 | Form | ||
| 3 | Rascoff, Spencer M | Chief Executive Officer | Direct | Buy | 11202025 | 31.84 | 14,000 | 445,691 | 5,256,866 | Form |
| 4 | Eigenmann, Philip D | Chief Accounting Officer | Direct | Sell | 9052025 | 37.52 | 6,531 | 245,024 | 871,897 | Form |
| 5 | McDaniel, Ann | Direct | Sell | 8292025 | 37.58 | 5,423 | 203,774 | 823,889 | Form |
| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Brenner, Melissa Anne | Direct | Sell | 5082026 | 35.94 | 5,141 | 184,761 | 582,855 | Form | |
| 2 | Hosseini, Hesam | Chief Operating Officer | Direct | Sell | 3062026 | 30.13 | 59,013 | Form | ||
| 3 | Rascoff, Spencer M | Chief Executive Officer | Direct | Buy | 11202025 | 31.84 | 14,000 | 445,691 | 5,256,866 | Form |
| 4 | Eigenmann, Philip D | Chief Accounting Officer | Direct | Sell | 9052025 | 37.52 | 6,531 | 245,024 | 871,897 | Form |
| 5 | McDaniel, Ann | Direct | Sell | 8292025 | 37.58 | 5,423 | 203,774 | 823,889 | Form | |
| 6 | Rascoff, Spencer M | Chief Executive Officer | Direct | Buy | 8282025 | 37.57 | 13,250 | 497,861 | 5,663,514 | Form |
| 7 | Bailey, Stephen | Direct | Sell | 8082025 | 36.72 | 12,500 | 458,951 | 295,858 | Form |
Industry Resources
| Communication Services Resources |
| Variety |
| The Hollywood Reporter |
| Adweek |
| Interactive Media & Services Resources |
| Social Media Today |
| Search Engine Land |
| Nieman Journalism Lab |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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