Match (MTCH)
Market Price (2/6/2026): $30.46 | Market Cap: $7.3 BilSector: Communication Services | Industry: Interactive Media & Services
Match (MTCH)
Market Price (2/6/2026): $30.46Market Cap: $7.3 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 9.5%, ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is 5.4%, FCF Yield is 13% | Weak multi-year price returns2Y Excs Rtn is -56%, 3Y Excs Rtn is -108% | 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 operating marginsOp Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is 24% | ||
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 29%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 28% | ||
| Low stock price volatilityVol 12M is 35% | ||
| Megatrend and thematic driversMegatrends include Digital Connection & Socialization, and E-commerce & Digital Retail. Themes include Online Dating Platforms, and Online Marketplaces. |
| Attractive yieldTotal YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 9.5%, ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is 5.4%, FCF Yield is 13% |
| Attractive operating marginsOp Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is 24% |
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 29%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 28% |
| Low stock price volatilityVol 12M is 35% |
| 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 -56%, 3Y Excs Rtn is -108% |
| 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
AI Analysis | Feedback
1. Decline in Total Payers: Match Group reported a 5.3% year-over-year decrease in its total number of payers, totaling 13.8 million, which missed the Zacks Consensus Estimate. This decline suggests a shrinking monetizable user base across its portfolio of dating apps.
2. Tinder's Revenue Underperformance: Tinder, a key revenue driver for Match Group, experienced a 2.6% year-over-year decline in direct revenues, or a 5% decrease on an FX-neutral basis, to $463.8 million in the fourth quarter of 2025. This signals ongoing challenges in growing or even maintaining revenue from its flagship application.
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Stock Movement Drivers
Fundamental Drivers
The -4.0% change in MTCH stock from 10/31/2025 to 2/5/2026 was primarily driven by a -9.6% change in the company's P/E Multiple.| (LTM values as of) | 10312025 | 2052026 | Change |
|---|---|---|---|
| Stock Price ($) | 32.15 | 30.85 | -4.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 3,451 | 3,469 | 0.5% |
| Net Income Margin (%) | 15.6% | 16.2% | 3.9% |
| P/E Multiple | 14.6 | 13.2 | -9.6% |
| Shares Outstanding (Mil) | 244 | 241 | 1.6% |
| Cumulative Contribution | -4.0% |
Market Drivers
10/31/2025 to 2/5/2026| Return | Correlation | |
|---|---|---|
| MTCH | -4.0% | |
| Market (SPY) | -0.7% | 35.5% |
| Sector (XLC) | 1.2% | 38.9% |
Fundamental Drivers
The -9.0% change in MTCH stock from 7/31/2025 to 2/5/2026 was primarily driven by a -15.4% change in the company's P/E Multiple.| (LTM values as of) | 7312025 | 2052026 | Change |
|---|---|---|---|
| Stock Price ($) | 33.88 | 30.85 | -9.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 3,451 | 3,469 | 0.5% |
| Net Income Margin (%) | 15.8% | 16.2% | 2.5% |
| P/E Multiple | 15.6 | 13.2 | -15.4% |
| Shares Outstanding (Mil) | 251 | 241 | 4.4% |
| Cumulative Contribution | -9.0% |
Market Drivers
7/31/2025 to 2/5/2026| Return | Correlation | |
|---|---|---|
| MTCH | -9.0% | |
| Market (SPY) | 7.5% | 34.5% |
| Sector (XLC) | 8.6% | 40.2% |
Fundamental Drivers
The -11.5% change in MTCH stock from 1/31/2025 to 2/5/2026 was primarily driven by a -9.3% change in the company's Net Income Margin (%).| (LTM values as of) | 1312025 | 2052026 | Change |
|---|---|---|---|
| Stock Price ($) | 34.88 | 30.85 | -11.5% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 3,485 | 3,469 | -0.5% |
| Net Income Margin (%) | 17.9% | 16.2% | -9.3% |
| P/E Multiple | 14.4 | 13.2 | -8.3% |
| Shares Outstanding (Mil) | 257 | 241 | 6.9% |
| Cumulative Contribution | -11.5% |
Market Drivers
1/31/2025 to 2/5/2026| Return | Correlation | |
|---|---|---|
| MTCH | -11.5% | |
| Market (SPY) | 13.6% | 48.4% |
| Sector (XLC) | 14.5% | 51.2% |
Fundamental Drivers
The -41.3% change in MTCH stock from 1/31/2023 to 2/5/2026 was primarily driven by a -90.3% change in the company's P/E Multiple.| (LTM values as of) | 1312023 | 2052026 | Change |
|---|---|---|---|
| Stock Price ($) | 52.57 | 30.85 | -41.3% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 3,209 | 3,469 | 8.1% |
| Net Income Margin (%) | 3.4% | 16.2% | 378.1% |
| P/E Multiple | 136.0 | 13.2 | -90.3% |
| Shares Outstanding (Mil) | 281 | 241 | 17.0% |
| Cumulative Contribution | -41.3% |
Market Drivers
1/31/2023 to 2/5/2026| Return | Correlation | |
|---|---|---|
| MTCH | -41.3% | |
| Market (SPY) | 72.9% | 38.3% |
| Sector (XLC) | 117.2% | 38.6% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| MTCH Return | -13% | -69% | -12% | -10% | 1% | -5% | -79% |
| Peers Return | 35% | -47% | 79% | 21% | 48% | -19% | 87% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 1% | 83% |
Monthly Win Rates [3] | |||||||
| MTCH Win Rate | 42% | 17% | 42% | 33% | 50% | 0% | |
| Peers Win Rate | 60% | 31% | 67% | 50% | 48% | 20% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 50% | |
Max Drawdowns [4] | |||||||
| MTCH Max Drawdown | -19% | -70% | -31% | -20% | -16% | -10% | |
| Peers Max Drawdown | -18% | -54% | -10% | -22% | -22% | -23% | |
| S&P 500 Max Drawdown | -1% | -25% | -1% | -2% | -15% | -1% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: Z, ZIP, WSHP, 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 2/5/2026 (YTD)
How Low Can It Go
| Event | MTCH | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -83.8% | -25.4% |
| % Gain to Breakeven | 517.0% | 34.1% |
| Time to Breakeven | Not Fully Recovered days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -48.8% | -33.9% |
| % Gain to Breakeven | 95.2% | 51.3% |
| Time to Breakeven | 74 days | 148 days |
| 2018 Correction | ||
| % Loss | -39.6% | -19.8% |
| % Gain to Breakeven | 65.6% | 24.7% |
| Time to Breakeven | 147 days | 120 days |
Compare to Z, ZIP, WSHP, GOOGL, META
In The Past
Match's stock fell -83.8% during the 2022 Inflation Shock from a high on 10/21/2021. A -83.8% loss requires a 517.0% gain to breakeven.
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About Match (MTCH)
AI Analysis | Feedback
Match Group (MTCH) provides a suite of online dating and social discovery services, each targeting different user preferences and relationship goals.- Tinder: A global mobile dating app known for its swipe-based interface that allows users to connect with others nearby for various relationship types.
- Hinge: A dating app positioned for users seeking serious relationships, emphasizing thoughtful prompts and more detailed profiles to foster deeper connections.
- Match.com: A long-standing online dating service focused on helping singles find compatible partners for long-term relationships through detailed profiles and algorithms.
- OkCupid: An online dating platform that uses extensive questionnaires and advanced algorithms to match users based on compatibility and shared interests.
- PlentyOfFish (POF): A free-to-use online dating service with a large user base, offering various features for users to meet and interact.
AI Analysis | Feedback
Match Group (symbol: MTCH) primarily sells its services to individuals, not to other companies. Its major customers are the users of its various dating applications and websites. Here are up to three categories of customers that Match Group serves:- Individuals seeking serious or long-term relationships: This category includes users who are actively looking for a committed partnership, marriage, or deep, lasting connections. They often prioritize compatibility, detailed profiles, and features that facilitate meaningful interactions. Apps like Match.com and Hinge often cater strongly to this demographic.
- Individuals seeking casual dating, short-term relationships, or social connections: This segment comprises users who are interested in meeting new people for less committed encounters, fun dates, new friendships, or exploring their options without immediate pressure for a serious relationship. Tinder, with its swipe-based interface and large user base, is a prominent example serving this category.
- Individuals seeking connections with specific preferences or within niche communities: This category encompasses users who are looking for partners within particular age groups, geographical locations, the LGBTQ+ community, specific ethnic groups, or those with unique lifestyle choices or interests. While many of Match Group's larger apps serve broad demographics, they often offer features or foster environments that allow users to find more tailored connections (e.g., OkCupid's emphasis on detailed profiles and inclusivity, or targeted marketing for specific age demographics on Match.com).
AI Analysis | Feedback
Spencer Rascoff, Chief Executive Officer
Spencer Rascoff was appointed CEO of Match Group in February 2025. He is a seasoned entrepreneur and technology leader, having co-founded several successful companies including Zillow, Hotwire.com, Pacaso, Recon Food, dot.LA, Queue, heyLibby, House Whisper, and 75 & Sunny Ventures. He served as CEO of Zillow for a decade, leading the company through its IPO and 15 acquisitions, expanding it to over 4,500 employees and achieving a $10 billion market capitalization. Hotwire.com, which he co-founded at age 24, was sold to InterActiveCorp for $685 million in 2003. Rascoff also has experience as a private equity investor at TPG Capital and an investment banker at Goldman Sachs. He has been an active investor and advisor to numerous high-growth technology companies and has served on boards including Palantir and TripAdvisor.
Gary Swidler, President and Chief Financial Officer
Gary Swidler currently serves as President and Chief Financial Officer of Match Group, overseeing finance, accounting, tax, treasury, strategy, corporate development, and investor relations, as well as corporate communications, ad sales, user privacy, safety, and data security. He joined Match Group in 2015 as CFO, just prior to the company's IPO in November of that year. Before joining Match Group, Swidler spent 18 years at Bank of America Merrill Lynch, where his roles included Managing Director and leading the Financial Institutions Investment Banking Group. Prior to Merrill Lynch, he was an associate at the New York City-based law firm Wachtell, Lipton, Rosen & Katz. Swidler also serves as a director at DoubleVerify Holdings Inc.
Hesam Hosseini, Chief Operating Officer
Hesam Hosseini was promoted to Chief Operating Officer of Match Group, effective April 1, 2025. He brings extensive experience from his tenure at Match Group, which he joined in 2008, having held multiple leadership roles including CEO of Evergreen & Emerging Brands, CEO of Match and Match Affinity, and CEO of Plenty of Fish. Hosseini has also served as General Manager of New Initiatives and General Manager of Match International. He has overseen multiple strategic acquisitions and transformations across Match Group's portfolio. Prior to his time at Match Group, Hesam was a startup founder and a consultant with McKinsey & Company.
Justin McLeod, Founder and Chief Executive Officer, Hinge
Justin McLeod is the Founder and CEO of Hinge, a dating app he launched in February 2011 with a mission to create real-life connections. Hinge was acquired by Match Group in 2018, with Match Group taking 100% ownership by the first quarter of 2019. Prior to founding Hinge, McLeod worked in management consulting and notably turned down a lucrative job offer from McKinsey to pursue his entrepreneurial passion for Hinge.
Malgosia Green, Chief Executive Officer, Match Group Asia
Malgosia Green serves as the CEO of Match Group Asia. Before taking on this role, she was the CEO of Plenty of Fish, another Match Group dating app, from 2018 to 2022. Prior to joining Match Group, Green was the Chief Product Officer at the educational technology company Top Hat, where she led product and engineering teams and helped scale the company significantly. She also founded and served as CEO of Savvica, an online marketing company focused on international education, which launched LearnHub, becoming India's largest education site.
AI Analysis | Feedback
The key risks to Match Group's (MTCH) business are primarily centered on its flagship application, the highly competitive online dating market, and regulatory and reputational challenges.
- Declining Tinder User Engagement and Monetization: Match Group faces a significant risk from the declining user engagement and monetization trends of Tinder, its largest and most profitable brand. Recent data indicates year-over-year declines in Monthly Active Users (MAU) and payers for Tinder. A prolonged deterioration in these metrics would materially impact Match Group's overall revenue growth, margins, and profitability, as Tinder accounts for a substantial portion of the company's financials. While management is implementing initiatives to improve user experience and monetization, the success of these efforts is crucial for the company's future performance.
- Intense Competition and Lack of User Stickiness: The online dating industry is highly competitive, with numerous direct competitors, including other dating app providers that vie for the same user base and market share. Users exhibit low stickiness and switching costs, allowing them to easily move between platforms. This intense competitive landscape necessitates continuous innovation, aggressive marketing, and strategic acquisitions to maintain market position. The prevalence of free dating apps also challenges Match Group's ability to convert users into paying members, affecting its primary business strategy.
- Regulatory Scrutiny, Data Privacy, and Brand Reputation: Match Group is exposed to increasing regulatory costs and evolving data privacy regulations, which can impact its operations and financial performance. Furthermore, the company faces the risk of negative publicity or legal action stemming from users suffering harm or engaging in inappropriate actions on its platforms. Such incidents can damage the reputation of its brands and the online dating industry generally, potentially leading to a decline in user trust and engagement.
AI Analysis | Feedback
nullAI Analysis | Feedback
Match Group (NASDAQ: MTCH) operates a diverse portfolio of online dating products and services globally, including prominent brands such as Tinder, Hinge, Match.com, OkCupid, and Plenty of Fish. The addressable market for these main products and services is broadly defined by the global and regional online dating markets.
Global Online Dating Market
The global online dating market was estimated to be approximately USD 9.4 billion in 2023 and is projected to grow to around USD 18.1 billion by 2033, with a compound annual growth rate (CAGR) of 6.8% from 2024 to 2033. Other estimates place the global market size at USD 9.65 billion in 2022, with a projection to reach USD 17.28 billion by 2030 at a CAGR of 7.4%. Another report estimates the market at USD 9 billion in 2022, anticipated to reach approximately USD 30 billion by 2032 with a CAGR of roughly 7% between 2023 and 2032. More recently, the global online dating market made over $6 billion in revenue in 2024 and is expected to reach nearly $9 billion by 2030. An estimated 350 million people worldwide use dating apps, with around 25 million subscribing to premium features. Approximately 400 million people globally use dating apps.
U.S. Online Dating Market
In the United States, the online dating apps market was valued at USD 0.92 billion in 2023 and is projected to grow to USD 1.23 billion by 2029, with a CAGR of 4.92%. Another valuation for the USA Online Dating Services Market indicates it is worth USD 1.5 billion. North America, which includes the U.S., held a significant market position, capturing over 40% of the global market share and generating USD 3.7 billion in revenue in 2023. North America was the largest dating app market, contributing 50% of global revenue in 2024. In 2024, the U.S. had approximately 61 million dating app users. About 53 million Americans actively use online dating services.
AI Analysis | Feedback
Match Group (MTCH) is focusing on several key initiatives to drive revenue growth over the next two to three years:
- Product-led User Experience Enhancements and AI Integration: The company plans to prioritize launching new features and leveraging AI across its core brands, particularly Tinder and Hinge. This includes tools such as the expanded Chemistry feature, additional Modes, and wider implementation of Face Check for improved user safety and engagement. These product innovations, like AI-enabled Discovery and new prompt-driven profile elements, are designed to drive deeper user interactions, especially among Gen Z, and position the company for sustainable long-term growth.
- International Market Expansion for Hinge: Hinge continues to be a strong performer, and its ongoing international expansion, notably with launches in Latin America (Mexico and planned for Brazil), is expected to significantly broaden Match Group's addressable user base. Management has cited strong early traction in new markets as evidence of Hinge's global scalability, making it a key long-term growth engine.
- Leveraging Alternative Payment Solutions: The successful shift to web-based payments and continued adoption of alternative payment solutions are projected to improve margins by generating significant annual savings. These operational efficiencies are expected to provide additional funds that can be reinvested into product innovation and growth initiatives.
- Sustained Growth from Hinge and Emerging Brands: Hinge has demonstrated impressive user and revenue growth, and its continued momentum is anticipated to be a significant contributor to overall revenue. Additionally, Match Group is making early-stage investments in new platforms like Archer and HER, indicating a diversified approach to innovation and potential future revenue streams.
- Increased Revenue Per Payer (RPP) through Monetization Strategies: Despite some declines in overall payer numbers, Match Group has shown an ability to increase its Revenue Per Payer (RPP). This indicates effective monetization of its existing user base through product improvements and premium features, a trend expected to continue contributing to revenue growth.
AI Analysis | Feedback
Capital Allocation Decisions for Match Group (MTCH) (2020-2025)
Share Repurchases
- Match Group's Board of Directors authorized a new share repurchase program of up to $1.5 billion in December 2024. This authorization will take effect once the remaining $247 million from a previous program is exhausted.
- For the full year 2024, the company repurchased $753 million of common stock.
- Year-to-date through September 30, 2025, Match Group repurchased $550 million of its shares, and an additional $100 million in October 2025. As of October 31, 2025, $1.10 billion remained available under the current share repurchase program.
Share Issuance
- In 2023, Match Group received $15.8 million from the issuance of common stock related to stock-based awards.
- The company incurred stock-based compensation expenses of $133.687 million in the first half of 2024 and $137.861 million in the first half of 2025.
Capital Expenditures
- Match Group's capital expenditures averaged $57.892 million annually for the fiscal years ending December 2020 to 2024.
- The company's capital expenditures were $29.9 million in 2024, primarily focused on internal software development and computer hardware.
- For 2025, Match Group anticipates cash capital expenditures to be between $55 million and $65 million, with a continued focus on internally developed software.
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 53.26 |
| Mkt Cap | 13.1 |
| Rev LTM | 3,469 |
| Op Inc LTM | 831 |
| FCF LTM | 963 |
| FCF 3Y Avg | 881 |
| CFO LTM | 1,012 |
| CFO 3Y Avg | 937 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 15.1% |
| Rev Chg 3Y Avg | 7.0% |
| Rev Chg Q | 16.4% |
| QoQ Delta Rev Chg LTM | 4.0% |
| Op Mgn LTM | 24.0% |
| Op Mgn 3Y Avg | 25.8% |
| QoQ Delta Op Mgn LTM | -0.4% |
| CFO/Rev LTM | 29.2% |
| CFO/Rev 3Y Avg | 27.4% |
| FCF/Rev LTM | 18.2% |
| FCF/Rev 3Y Avg | 20.5% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 13.1 |
| P/S | 5.3 |
| P/EBIT | 8.9 |
| P/E | 13.2 |
| P/CFO | 14.6 |
| Total Yield | 3.6% |
| Dividend Yield | 0.3% |
| FCF Yield 3Y Avg | 3.8% |
| D/E | 0.0 |
| Net D/E | 0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | -12.3% |
| 3M Rtn | 1.7% |
| 6M Rtn | -13.0% |
| 12M Rtn | -5.3% |
| 3Y Rtn | 47.2% |
| 1M Excs Rtn | -10.2% |
| 3M Excs Rtn | 2.2% |
| 6M Excs Rtn | -21.8% |
| 12M Excs Rtn | -21.6% |
| 3Y Excs Rtn | -18.8% |
Comparison Analyses
Segment Financials
Revenue by Segment| $ Mil | 2024 | 2023 | 2022 | 2021 | 2020 |
|---|---|---|---|---|---|
| Tinder | 1,964 | ||||
| Evergreen & Emerging | 701 | ||||
| Hinge | 396 | ||||
| Match Group ( MG) Asia | 303 | ||||
| Eliminations | 0 | ||||
| Connections | 3,189 | 2,983 | 2,391 | ||
| Dating | 2,051 | ||||
| Total | 3,365 | 3,189 | 2,983 | 2,391 | 2,051 |
| $ Mil | 2024 | 2023 | 2022 | 2021 | 2020 |
|---|---|---|---|---|---|
| Tinder | 956 | ||||
| Evergreen & Emerging | 82 | ||||
| Hinge | 74 | ||||
| Match Group ( MG) Asia | -9 | ||||
| Corporate and unallocated costs | -187 | ||||
| Total | 917 |
Price Behavior
| Market Price | $30.85 | |
| Market Cap ($ Bil) | 7.4 | |
| First Trading Date | 11/19/2015 | |
| Distance from 52W High | -19.5% | |
| 50 Days | 200 Days | |
| DMA Price | $32.25 | $32.63 |
| DMA Trend | indeterminate | down |
| Distance from DMA | -4.3% | -5.5% |
| 3M | 1YR | |
| Volatility | 28.7% | 33.8% |
| Downside Capture | 102.94 | 102.17 |
| Upside Capture | 66.52 | 82.83 |
| Correlation (SPY) | 35.1% | 48.5% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 0.86 | 0.51 | 0.90 | 0.96 | 0.86 | 0.96 |
| Up Beta | 2.57 | 1.49 | 1.26 | 1.42 | 0.89 | 0.86 |
| Down Beta | 0.42 | -0.21 | 0.33 | 0.46 | 0.79 | 0.84 |
| Up Capture | 33% | 26% | 91% | 74% | 66% | 64% |
| Bmk +ve Days | 11 | 22 | 34 | 71 | 142 | 430 |
| Stock +ve Days | 8 | 16 | 27 | 57 | 126 | 362 |
| Down Capture | 128% | 126% | 119% | 126% | 100% | 106% |
| Bmk -ve Days | 9 | 19 | 27 | 54 | 109 | 321 |
| Stock -ve Days | 12 | 25 | 34 | 68 | 125 | 387 |
[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 | -13.5% | 34.6% | -0.37 | - |
| Sector ETF (XLC) | 13.3% | 18.7% | 0.53 | 51.1% |
| Equity (SPY) | 13.6% | 19.3% | 0.54 | 48.2% |
| Gold (GLD) | 69.7% | 24.7% | 2.11 | -6.5% |
| Commodities (DBC) | 7.1% | 16.6% | 0.24 | 8.5% |
| Real Estate (VNQ) | 4.4% | 16.5% | 0.09 | 39.1% |
| Bitcoin (BTCUSD) | -26.6% | 40.5% | -0.66 | 21.4% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with MTCH | |
|---|---|---|---|---|
| MTCH | -25.7% | 45.2% | -0.50 | - |
| Sector ETF (XLC) | 12.7% | 20.8% | 0.52 | 54.3% |
| Equity (SPY) | 14.4% | 17.0% | 0.67 | 50.4% |
| Gold (GLD) | 20.8% | 16.9% | 1.01 | 4.8% |
| Commodities (DBC) | 11.7% | 18.9% | 0.50 | 9.8% |
| Real Estate (VNQ) | 5.2% | 18.8% | 0.18 | 40.6% |
| Bitcoin (BTCUSD) | 16.0% | 57.4% | 0.49 | 20.3% |
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Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with MTCH | |
|---|---|---|---|---|
| MTCH | 13.5% | 47.7% | 0.45 | - |
| Sector ETF (XLC) | 9.6% | 22.5% | 0.52 | 49.8% |
| Equity (SPY) | 15.5% | 17.9% | 0.74 | 44.3% |
| Gold (GLD) | 15.4% | 15.5% | 0.83 | 4.2% |
| Commodities (DBC) | 7.9% | 17.6% | 0.37 | 11.5% |
| Real Estate (VNQ) | 6.0% | 20.7% | 0.26 | 34.7% |
| Bitcoin (BTCUSD) | 69.0% | 66.5% | 1.08 | 12.3% |
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Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 2/3/2026 | |||
| 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% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 13 | 11 | 11 |
| # Negative | 10 | 12 | 12 |
| Median Positive | 4.9% | 4.7% | 8.7% |
| Median Negative | -7.9% | -8.4% | -13.4% |
| Max Positive | 13.2% | 12.8% | 13.8% |
| Max Negative | -17.9% | -18.8% | -26.3% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 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 |
Insider Activity
Expand for More| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Rascoff, Spencer M | Chief Executive Officer | Direct | Buy | 11202025 | 31.84 | 14,000 | 445,691 | 5,256,866 | Form |
| 2 | Eigenmann, Philip D | Chief Accounting Officer | Direct | Sell | 9052025 | 37.52 | 6,531 | 245,024 | 871,897 | Form |
| 3 | McDaniel, Ann | Direct | Sell | 8292025 | 37.58 | 5,423 | 203,774 | 823,889 | Form | |
| 4 | Rascoff, Spencer M | Chief Executive Officer | Direct | Buy | 8282025 | 37.57 | 13,250 | 497,861 | 5,663,514 | Form |
| 5 | Bailey, Stephen | Direct | Sell | 8082025 | 36.72 | 12,500 | 458,951 | 295,858 | Form |
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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