Yelp Inc (YELP) Stock Analysis and Metrics

Yelp

NYSE: YELP

$26.23 ▼ -1.16 (-4.24%)

At close: Jul 17, 2026 · 3:59 PM UTC

Financial Ratios

Market Cap1.54 Bn

P/E11.11

P/S1.05

Div. Yield0.00

ROIC (Qtr)0.00

Total Debt (Qtr)130.00 Mn

Revenue Growth (1y) (Qtr)0.82

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About

Yelp operates an online platform that connects consumers with local businesses through user generated reviews ratings photos and videos. The company’s mission is to help people find great local businesses while enabling those businesses to reach potential customers. Yelp maintains a searchable database of business listings covering categories such as restaurants home services automotive retail and professional services. Users contribute more than three hundred million reviews that form the core of the service and generate trust among consumers. The platform is accessible via mobile apps web sites and partner integrations allowing users to search for businesses read reviews view photos and contact merchants directly. Yelp’s emphasis on reliable content is supported by proprietary recommendation software and human moderation that filters low quality or misleading reviews. This combination of a large user base and a trusted review ecosystem creates a network effect that attracts both consumers and advertisers.

The majority of Yelp’s revenue comes from advertising products sold to businesses of all sizes. In 2025 advertising accounted for approximately 95% of total revenue. Advertising revenue includes cost per click ads sponsored placements and performance based products such as Yelp Ads and multi location ad solutions. Yelp Ads allow businesses to promote themselves in sponsored search results on the platform on competitor pages and through the Yelp Ads Network which distributes ads to third party sites. Multi location ad solutions feature showcase ads spotlight ads and Yelp Audiences that extend campaigns off platform while providing first party attribution tools like store visit tracking and conversion APIs. The company also generates revenue from subscription offerings like Yelp Guest Manager for restaurants which provides reservation waitlist and seating management tools and Yelp Host and Yelp Receptionist AI powered phone assistants that handle calls manage bookings and capture lead information. Additional income is derived from data licensing through the Yelp Places API Yelp Insights API and Yelp AI API where partners pay fees for access to business listings review content and AI driven conversational interfaces. Transaction fees arise from partnerships such as the DoorDash integration that enables food ordering through the Yelp interface and from other arrangements that facilitate appointments or service bookings. All revenue streams are driven by the platform’s large user base and the data it collects from consumer interactions which allow precise targeting and measurement of advertising performance.

Yelp holds a strong position as one of the most recognized local search and review platforms in the United States. Its primary competitors include general search engines such as Google and specialized review sites like TripAdvisor. The company also faces competition from social media platforms where users post local recommendations and from emerging AI powered search tools. Yelp’s competitive advantages stem from its extensive library of user generated reviews which exceeds three hundred million entries and its trusted brand that attracts a high intent audience. The firm’s investment in AI powered technologies including natural language processing and machine learning enhances search relevance and ad targeting while supporting content moderation. These strengths enable Yelp to maintain user engagement and attract advertisers seeking measurable results. Additionally Yelp benefits from a self reinforcing data network where more reviews improve the platform’s usefulness which in turn draws more users and generates further content. The company’s disciplined expense management and focus on product innovation allow it to invest in high return areas such as AI chatbots lead management tools and data licensing partnerships. This combination of scale data and technological expertise gives Yelp a durable edge in the competitive local digital advertising market.

Yelp serves two main groups: consumers who search for local services and businesses that advertise or use the platform’s tools. On the consumer side the platform attracts individuals looking for restaurants home services automotive shops professional services and other local merchants. Users rely on Yelp to read reviews view photos check ratings and contact businesses directly through the app or website. On the business side Yelp’s customers range from small independent operators to large multi location enterprises that purchase advertising subscriptions or data licenses. Specific partners that use Yelp’s data and services include DoorDash for food order integration Apple Maps for local listings and automotive manufacturers such as Audi and BMW for in dash experiences. The company also works with agencies and resellers like Thryv to distribute its advertising solutions to small and medium sized businesses. In addition Yelp offers free business accounts that let merchants claim their pages update information and optionally purchase upgrades such as enhanced profiles or booking widgets. This broad base of users and advertisers creates a diverse revenue mix and provides opportunities for cross selling new products such as AI powered lead management services.

Investment Thesis

▲ Bull case

Yelp is successfully executing a strategic pivot toward high-margin AI-driven revenue streams that are significantly underappreciated by the market. The company’s "other revenue" segment, which includes data licensing, food ordering via DoorDash integration, and AI-powered transaction services like Hatch and Yelp Host, grew 75% year-over-year to $29 million in Q1 FY26, with Hatch alone generating a $34 million annual run rate — up 92% year-over-year. These initiatives are not ancillary experiments but are being actively scaled with dedicated go-to-market and engineering resources, targeting a $250 million annual run rate by end of 2028. This represents more than double the current run rate and implies a compound annual growth rate exceeding 25% over the next three years. Crucially, these streams benefit from network effects and data moats: Yelp’s decade-long repository of authentic, human-written reviews provides irreplaceable training data for LLMs, making its content indispensable to AI platforms like OpenAI, Apple Maps, and Microsoft Bing. Unlike transient advertising demand, data licensing contracts are often multi-year and less sensitive to local business sentiment, offering a stabilizing counterweight to volatile ad revenue. The market remains fixated on the 1% Services ad growth and 11% RR&O ad decline, overlooking how these AI initiatives are already contributing meaningfully to top-line diversification and margin expansion. With adjusted EBITDA margins already at 22% and management guiding toward meaningful expansion over the next several years via AI-driven productivity gains in product development (e.g., reducing migration timelines from three months to three weeks) and operational efficiency in sales and G&A, Yelp is positioned to deliver disproportionate profit growth as these high-leverage investments scale.
Yelp’s AI transformation is creating a self-reinforcing flywheel between consumer engagement, business tools, and data monetization that is still in its infancy but poised for acceleration. The Yelp Assistant now drives 15% of Request-A-Quote projects — up from 5% a year ago — demonstrating tangible improvements in conversion efficiency for service professionals, which directly enhances advertiser ROI and stickiness. This is not merely a feature upgrade but a fundamental shift in how Yelp mediates the discovery-to-action journey, reducing friction for high-intent users. Simultaneously, partnerships like DoorDash (food ordering revenue up 88% YoY), Vagaro, and Zocdoc are expanding Yelp’s utility beyond reviews into transaction enablement, increasing session depth and frequency. These integrations generate valuable behavioral data that further refines Yelp Assistant’s accuracy and relevance, improving both consumer satisfaction and business lead quality. Importantly, Yelp is monetizing this same data twice: once through enhanced engagement that supports its core advertising model, and again through direct licensing to AI platforms seeking high-quality local context. The company’s framing of a "$1 billion market opportunity" for Yelp Host — its AI-powered call answering service for restaurants — is particularly compelling given its current annual run rate of 1.5 million calls handled (more than double since January) and planned expansion into food ordering over the phone. With restaurants chronically understaffed and missing up to 30% of incoming calls, Host addresses a painful operational gap while capturing monetizable intent. The market underestimates how these tools reduce churn among service pros and restaurants — Yelp’s most valuable advertisers — by making the platform indispensable to their daily operations, thereby increasing lifetime value and pricing power over time.
Yelp’s capital allocation discipline is creating a potent tailwind for shareholder returns that is not fully reflected in current valuations. The company repurchased $125 million of shares in Q1 FY26 at an average price of $24.58, reducing diluted shares outstanding by 12% year-over-year, with $414 million remaining under authorization. This aggressive buyback pace — equivalent to roughly 15% of market cap annually at current levels — is being funded by strong free cash flow generation, which management implicitly confirmed by noting adjusted EBITDA exceeded the high end of guidance by $15 million. Concurrently, Yelp is reducing stock-based compensation as a percentage of revenue by two points year-over-year to 8%, with a target of under 6% by end of 2027. This dual approach — buybacks suppressing share count while SBC dilution declines — will meaningfully accelerate EPS growth even if net income growth remains modest. More importantly, the market is mispricing the optionality of Yelp’s AI investments: while current guidance assumes flat to low-single-digit ad revenue growth due to persistent local business headwinds, the company is deliberately investing in ventures like Hatch and data licensing that have zero correlation to SMB advertising cycles. Should even one of these initiatives — particularly data licensing to AI firms or Host-powered food ordering — achieve meaningful scale, it could trigger a sharp reevaluation of Yelp’s growth profile. The fact that management raised no alarms about sustainability of these trends, despite macro concerns, suggests internal confidence is far higher than external perceptions.

Yelp is successfully executing a strategic pivot toward high-margin AI-driven revenue streams that are significantly underappreciated by the market. The company’s "other revenue" segment, which includes data licensing, food ordering via DoorDash integration, and AI-powered transaction services like Hatch and Yelp Host, grew 75% year-over-year to $29 million in Q1 FY26, with Hatch alone generating a $34 million annual run rate — up 92% year-over-year. These initiatives are not ancillary experiments but are being actively scaled with dedicated go-to-market and engineering resources, targeting a $250 million annual run rate by end of 2028. This represents more than double the current run rate and implies a compound annual growth rate exceeding 25% over the next three years. Crucially, these streams benefit from network effects and data moats: Yelp’s decade-long repository of authentic, human-written reviews provides irreplaceable training data for LLMs, making its content indispensable to AI platforms like OpenAI, Apple Maps, and Microsoft Bing. Unlike transient advertising demand, data licensing contracts are often multi-year and less sensitive to local business sentiment, offering a stabilizing counterweight to volatile ad revenue. The market remains fixated on the 1% Services ad growth and 11% RR&O ad decline, overlooking how these AI initiatives are already contributing meaningfully to top-line diversification and margin expansion. With adjusted EBITDA margins already at 22% and management guiding toward meaningful expansion over the next several years via AI-driven productivity gains in product development (e.g., reducing migration timelines from three months to three weeks) and operational efficiency in sales and G&A, Yelp is positioned to deliver disproportionate profit growth as these high-leverage investments scale.
Yelp’s AI transformation is creating a self-reinforcing flywheel between consumer engagement, business tools, and data monetization that is still in its infancy but poised for acceleration. The Yelp Assistant now drives 15% of Request-A-Quote projects — up from 5% a year ago — demonstrating tangible improvements in conversion efficiency for service professionals, which directly enhances advertiser ROI and stickiness. This is not merely a feature upgrade but a fundamental shift in how Yelp mediates the discovery-to-action journey, reducing friction for high-intent users. Simultaneously, partnerships like DoorDash (food ordering revenue up 88% YoY), Vagaro, and Zocdoc are expanding Yelp’s utility beyond reviews into transaction enablement, increasing session depth and frequency. These integrations generate valuable behavioral data that further refines Yelp Assistant’s accuracy and relevance, improving both consumer satisfaction and business lead quality. Importantly, Yelp is monetizing this same data twice: once through enhanced engagement that supports its core advertising model, and again through direct licensing to AI platforms seeking high-quality local context. The company’s framing of a "$1 billion market opportunity" for Yelp Host — its AI-powered call answering service for restaurants — is particularly compelling given its current annual run rate of 1.5 million calls handled (more than double since January) and planned expansion into food ordering over the phone. With restaurants chronically understaffed and missing up to 30% of incoming calls, Host addresses a painful operational gap while capturing monetizable intent. The market underestimates how these tools reduce churn among service pros and restaurants — Yelp’s most valuable advertisers — by making the platform indispensable to their daily operations, thereby increasing lifetime value and pricing power over time.
Yelp’s capital allocation discipline is creating a potent tailwind for shareholder returns that is not fully reflected in current valuations. The company repurchased $125 million of shares in Q1 FY26 at an average price of $24.58, reducing diluted shares outstanding by 12% year-over-year, with $414 million remaining under authorization. This aggressive buyback pace — equivalent to roughly 15% of market cap annually at current levels — is being funded by strong free cash flow generation, which management implicitly confirmed by noting adjusted EBITDA exceeded the high end of guidance by $15 million. Concurrently, Yelp is reducing stock-based compensation as a percentage of revenue by two points year-over-year to 8%, with a target of under 6% by end of 2027. This dual approach — buybacks suppressing share count while SBC dilution declines — will meaningfully accelerate EPS growth even if net income growth remains modest. More importantly, the market is mispricing the optionality of Yelp’s AI investments: while current guidance assumes flat to low-single-digit ad revenue growth due to persistent local business headwinds, the company is deliberately investing in ventures like Hatch and data licensing that have zero correlation to SMB advertising cycles. Should even one of these initiatives — particularly data licensing to AI firms or Host-powered food ordering — achieve meaningful scale, it could trigger a sharp reevaluation of Yelp’s growth profile. The fact that management raised no alarms about sustainability of these trends, despite macro concerns, suggests internal confidence is far higher than external perceptions.

▼ Bear case

Yelp’s core advertising business remains structurally challenged by persistent softness in local business spending, and the company’s reliance on AI-driven "other revenue" to offset this weakness is overly optimistic and not yet proven at scale. Despite highlighting 75% growth in other revenue, the segment started from a very low base — just $16.5 million in Q1 FY25 — meaning the $29 million Q1 FY26 figure, while growing rapidly, still represents only 8% of total revenue. Even if Yelp achieves its $250 million annual run rate target for other revenue by end of 2028, this would still account for less than 18% of projected total revenue under the current $1.45–$1.475 billion guidance range, leaving the business overwhelmingly dependent on advertising. The Services ad segment grew just 1% YoY, and RR&O ad declined 11%, reflecting ongoing budget cuts from restaurants, retailers, and service providers facing inflation, labor shortages, and uncertain consumer demand. Management’s attribution of Q1 weakness to Middle East conflict-related advertiser pullback in March is concerning because it implies that macroeconomic and geopolitical volatility can still meaningfully disrupt ad spending, undermining the thesis of resilience. Furthermore, the decline in paying advertising locations by 6% YoY to 485,000 signals churn among core customers, and the 10% drop in ad clicks — only partially offset by an 8% CPC increase — suggests weakening engagement or ineffective ad targeting, which could trigger further budget reductions if ROI deteriorates. The market may be underestimating how long these headwinds could persist, especially if commercial real estate stress or regional banking issues continue to suppress SMB investment in marketing.
Yelp’s AI initiatives, while innovative, face significant hurdles in monetization, scalability, and competitive differentiation that management has not adequately addressed. The Yelp Assistant’s role in driving 15% of Request-A-Quote projects sounds promising but lacks clarity on conversion to paid outcomes — there is no data showing whether these interactions lead to higher close rates, larger job values, or improved advertiser retention compared to traditional paths. Without proof of superior ROI for service pros, there is little incentive for them to pay premiums or increase spend, limiting the monetization potential. Similarly, while partnerships with DoorDash, Vagaro, and Zocdoc expand Yelp’s utility, they are largely referral-based and risk disintermediation: if users book directly through these platforms after discovering a business on Yelp, Yelp captures no transaction fee, only potentially indirect branding benefits. The data licensing deals with OpenAI, Apple Maps, and others are framed as strategic, yet Jeremy Stoppelman admitted that when searching for restaurants on ChatGPT today, Yelp content appears "relatively limited" versus Reddit, OpenTable, and Tripadvisor — a striking admission that undermines the narrative of Yelp as a primary data source for AI. Until these integrations drive meaningful traffic back to Yelp or generate significant direct revenue, they remain more about brand exposure than sustainable income. Moreover, the market for AI training data is likely to become commoditized as synthetic data and web-scraping alternatives improve, potentially eroding Yelp’s pricing power over time. The company’s $1 billion TAM estimate for Yelp Host is aspirational but ignores that competitors like Toast, Rezdy, and even Google’s Reserve with Google are already entrenched in restaurant workflows, and Yelp’s late entry requires displacing established habits.
Yelp’s margin expansion narrative relies on uncertain productivity gains from AI that may not materialize as expected, while ongoing investments in new ventures could pressure profitability in the near term. Management cited reductions in software migration timelines from three months to three weeks as evidence of AI-driven efficiency, but such anecdotal improvements are difficult to scale across the entire organization and may reflect early-stage learning curves rather than sustainable gains. The claim that AI is enhancing productivity in sales, marketing, and G&A functions remains unsubstantiated by hard metrics — there was no disclosure of reduced headcount growth, lower cost per lead, or improved sales efficiency ratios. Meanwhile, Yelp is actively increasing expenses to fund these initiatives: adjusted EBITDA guidance for the full year remains flat to slightly up ($310–$330 million) despite revenue growth guidance of only 0–1.5%, implying margin expansion is expected to come almost entirely from cost control — a difficult proposition when investing in AI talent, integrations, and acquisitions like Hatch. The company’s expectation to reduce stock-based compensation to under 6% of revenue by end of 2027 depends on maintaining strict equity grant discipline, which may prove challenging if talent competition for AI engineers intensifies. Furthermore, the $13 million in accrued acquisition and integration-related payments for Hatch employees excluded from adjusted EBITDA guidance raises questions about the true cost of integrating this business — if these are ongoing operational expenses, their exclusion paints an overly rosy picture of underlying profitability. With advertising revenue showing little signs of acceleration and the company betting heavily on unproven AI ventures, there is a real risk that Yelp fails to deliver on its growth promises while simultaneously eroding the profitability of its core franchise.

Yelp’s core advertising business remains structurally challenged by persistent softness in local business spending, and the company’s reliance on AI-driven "other revenue" to offset this weakness is overly optimistic and not yet proven at scale. Despite highlighting 75% growth in other revenue, the segment started from a very low base — just $16.5 million in Q1 FY25 — meaning the $29 million Q1 FY26 figure, while growing rapidly, still represents only 8% of total revenue. Even if Yelp achieves its $250 million annual run rate target for other revenue by end of 2028, this would still account for less than 18% of projected total revenue under the current $1.45–$1.475 billion guidance range, leaving the business overwhelmingly dependent on advertising. The Services ad segment grew just 1% YoY, and RR&O ad declined 11%, reflecting ongoing budget cuts from restaurants, retailers, and service providers facing inflation, labor shortages, and uncertain consumer demand. Management’s attribution of Q1 weakness to Middle East conflict-related advertiser pullback in March is concerning because it implies that macroeconomic and geopolitical volatility can still meaningfully disrupt ad spending, undermining the thesis of resilience. Furthermore, the decline in paying advertising locations by 6% YoY to 485,000 signals churn among core customers, and the 10% drop in ad clicks — only partially offset by an 8% CPC increase — suggests weakening engagement or ineffective ad targeting, which could trigger further budget reductions if ROI deteriorates. The market may be underestimating how long these headwinds could persist, especially if commercial real estate stress or regional banking issues continue to suppress SMB investment in marketing.
Yelp’s AI initiatives, while innovative, face significant hurdles in monetization, scalability, and competitive differentiation that management has not adequately addressed. The Yelp Assistant’s role in driving 15% of Request-A-Quote projects sounds promising but lacks clarity on conversion to paid outcomes — there is no data showing whether these interactions lead to higher close rates, larger job values, or improved advertiser retention compared to traditional paths. Without proof of superior ROI for service pros, there is little incentive for them to pay premiums or increase spend, limiting the monetization potential. Similarly, while partnerships with DoorDash, Vagaro, and Zocdoc expand Yelp’s utility, they are largely referral-based and risk disintermediation: if users book directly through these platforms after discovering a business on Yelp, Yelp captures no transaction fee, only potentially indirect branding benefits. The data licensing deals with OpenAI, Apple Maps, and others are framed as strategic, yet Jeremy Stoppelman admitted that when searching for restaurants on ChatGPT today, Yelp content appears "relatively limited" versus Reddit, OpenTable, and Tripadvisor — a striking admission that undermines the narrative of Yelp as a primary data source for AI. Until these integrations drive meaningful traffic back to Yelp or generate significant direct revenue, they remain more about brand exposure than sustainable income. Moreover, the market for AI training data is likely to become commoditized as synthetic data and web-scraping alternatives improve, potentially eroding Yelp’s pricing power over time. The company’s $1 billion TAM estimate for Yelp Host is aspirational but ignores that competitors like Toast, Rezdy, and even Google’s Reserve with Google are already entrenched in restaurant workflows, and Yelp’s late entry requires displacing established habits.
Yelp’s margin expansion narrative relies on uncertain productivity gains from AI that may not materialize as expected, while ongoing investments in new ventures could pressure profitability in the near term. Management cited reductions in software migration timelines from three months to three weeks as evidence of AI-driven efficiency, but such anecdotal improvements are difficult to scale across the entire organization and may reflect early-stage learning curves rather than sustainable gains. The claim that AI is enhancing productivity in sales, marketing, and G&A functions remains unsubstantiated by hard metrics — there was no disclosure of reduced headcount growth, lower cost per lead, or improved sales efficiency ratios. Meanwhile, Yelp is actively increasing expenses to fund these initiatives: adjusted EBITDA guidance for the full year remains flat to slightly up ($310–$330 million) despite revenue growth guidance of only 0–1.5%, implying margin expansion is expected to come almost entirely from cost control — a difficult proposition when investing in AI talent, integrations, and acquisitions like Hatch. The company’s expectation to reduce stock-based compensation to under 6% of revenue by end of 2027 depends on maintaining strict equity grant discipline, which may prove challenging if talent competition for AI engineers intensifies. Furthermore, the $13 million in accrued acquisition and integration-related payments for Hatch employees excluded from adjusted EBITDA guidance raises questions about the true cost of integrating this business — if these are ongoing operational expenses, their exclusion paints an overly rosy picture of underlying profitability. With advertising revenue showing little signs of acceleration and the company betting heavily on unproven AI ventures, there is a real risk that Yelp fails to deliver on its growth promises while simultaneously eroding the profitability of its core franchise.

Geographical Breakdown of Revenue (2025)

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Geographical Breakdown of Revenue (2025)

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Investment Thesis

Product and Service Breakdown of Revenue (2025)

Geographical Breakdown of Revenue (2025)

Peer Comparison

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