Airbnb, Inc.

Airbnb, Inc. (ABNB) Market Cap

Airbnb, Inc. has a market capitalization of .

No quote data available.

CEO: Brian Chesky

Sector: Consumer Cyclical

Industry: Travel Services

IPO Date: 2020-12-10

Website: https://www.airbnb.com

Airbnb, Inc. (ABNB) - Company Information

Market Cap: -|Sector: Consumer Cyclical

Company Profile

Airbnb, Inc., along with its affiliated entities, manages a global digital marketplace. This platform seamlessly connects individuals, known as hosts, who wish to offer a variety of accommodations and unique local experiences, with guests seeking such services worldwide. Users can easily book anything from private rooms and primary residences to vacation homes through its online and mobile channels. Originally established as AirBed & Breakfast, Inc. in 2007, the company officially rebranded to Airbnb, Inc. in November 2010. Its corporate headquarters are situated in San Francisco, California.

Analyst Sentiment

67%
Buy

From 44 Active Polls

1Y Forecast: $156.88

▲ +0.0% Potential Upside

Consensus Target Metrics

Low Bound

$125

Median

$161

High Bound

$185

Average

$157

Price & Moving Averages

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🎯 Wall Street Analyst Intelligence Report

1-Year structural target targets, chart projections, and sentiment maps.

Average 1Y Target
$156.88
▲ +3.54% Upside
Low Target
$125.00
-18% Risk
Median Target
$161.00
6% Mid
High Target
$185.00
22% Max

Consensus Trend Projection

Trailing closures vs. 12-month metrics map.

Analyst Vote Distribution

Aggregate institutional coverage sentiment weights.

Sentiment volume allocation data unavailable.

Historical valuation matrix unavailable.

📘 Full Research Report

ℹ️

AI-Generated Research: This report is for informational purposes only.

📘 AIRBNB INC CLASS A (ABNB) — Investment Overview

🧩 Business Model Overview

Airbnb operates a two-sided marketplace that matches guests with hosts offering short-term stays and related activities. On the supply side, hosts list properties (homes, apartments, and unique accommodations) and manage availability and pricing. On the demand side, guests search, compare, and book through Airbnb’s platform. Airbnb monetizes the transaction by charging service fees to guests and hosts, while also providing payments, customer support, and trust & safety tools that reduce booking friction and increase conversion.

The economic engine is asset-light: Airbnb does not own the accommodations. Its value is concentrated in (1) demand generation and search/discovery, (2) marketplace liquidity, and (3) trust and operational tooling that sustain quality and repeat usage.

💰 Revenue Streams & Monetisation Model

Airbnb’s revenue is predominantly transaction-driven and tied to booking activity. The principal monetisation levers are:

  • Guest and host service fees: Core revenue from each booking, supporting the majority of the earnings profile. Margin dynamics typically track the platform’s take rate, mix of stay types, and fee optimization.
  • Experiences and add-ons: Incremental monetisation linked to booking intent beyond lodging, with monetisation embedded in the booking workflow.
  • Other revenue streams: Less material but supportive, including tools and programs that monetize supply enablement and guest engagement.

Because the platform sits between supply and demand, revenue scales with nights booked while benefiting from operating leverage—provided that growth does not materially worsen refund rates, fraud costs, or customer support intensity.

🧠 Competitive Advantages & Market Positioning

Airbnb’s structural moat is best characterized as a blend of network effects, data-driven switching frictions, and trust-and-safety operating advantage.

  • Network effects (marketplace liquidity): A larger and higher-quality supply base attracts more guests, increasing booking frequency and improving listing performance. More guests, in turn, incentivize additional hosts—strengthening liquidity and discovery.
  • Data gravity / switching frictions: Search ranking, personalization, and pricing/availability signals become more effective as the platform accumulates booking and preference data. For frequent hosts and guests, migrating away is operationally inconvenient due to built-up reputation, saved preferences, and workflow integration.
  • Trust & safety and operational tooling: Verification, dispute handling, and fraud prevention improve conversion and reduce costly chargebacks. These systems also create a practical barrier because competitors must reach comparable coverage and process maturity.

Competitive benchmarking: Airbnb primarily competes with:

  • Booking Holdings (Booking.com): Strong in both hotels and alternative accommodations, often emphasizing broad accommodation inventory and traditional OTA strength.
  • Expedia Group (including Vrbo): Historically strong in vacation rentals through Vrbo, with a wide travel ecosystem and bundled travel offerings.
  • Tripadvisor: More oriented toward travel content and metasearch/discovery rather than direct marketplace supply at the same depth.

Positioning contrast: Airbnb’s differentiating focus is the depth of “home-like” stays and uniquely localized supply, paired with marketplace tools and a community-like hosting model. While Booking and Expedia compete aggressively on inventory breadth and travel bundling, Airbnb’s advantage is rooted in maintaining marketplace liquidity and monetizing conversion on a large, distinctive supply set.

🚀 Multi-Year Growth Drivers

Over a 5–10 year horizon, Airbnb’s growth thesis rests on structural shifts in lodging consumption and continued marketplace expansion:

  • Share shift to alternative accommodations: Travelers increasingly value space, longer-stay flexibility, and localized experiences versus traditional hotel formats, supporting ongoing mix improvement.
  • Supply expansion and professionalization: Growth in host participation—ranging from individual hosts to more organized operators—improves coverage across geographies and property types, increasing the effective addressable market.
  • Category expansion beyond pure lodging: Experiences, longer stays, and destination-based offerings extend monetisation beyond standard nights, leveraging repeat booking behavior.
  • Cross-border travel and domestic diversification: Marketplace liquidity enables scaling demand across regions as supply grows, with localized search relevance improving conversion.
  • Operational leverage from trust tooling: As verification and safety processes mature, the platform can scale throughput while containing incremental costs tied to disputes, fraud, and customer service.

⚠ Risk Factors to Monitor

  • Regulatory and licensing constraints: City-level rules on short-term rentals, registration requirements, occupancy limits, and tax collection can compress demand, raise compliance costs, or reduce supply in specific jurisdictions.
  • Liability and trust outcomes: Fraud, safety incidents, and dispute complexity can lead to higher support costs, refunds, and reputational damage that impairs conversion.
  • Competitive intensity and fee pressure: Large OTAs with strong travel ecosystems may leverage marketing spend and bundled products to pressure take rates or customer acquisition economics.
  • Quality dispersion and supply concentration risk: If listing quality, maintenance, or host reliability degrades, the platform could face lower satisfaction and higher cancellation/refund rates.
  • Macroeconomic cyclicality: Travel demand is sensitive to economic conditions and consumer confidence, which can affect booking volume and mix.

📊 Valuation & Market View

The market typically prices asset-light travel marketplaces using revenue-based multiples (such as EV/Revenue or P/S) alongside earnings power metrics (such as EV/EBITDA when margins normalize). Valuation sensitivity generally concentrates on:

  • Take rate and monetisation efficiency: Service fee structure, fee optimization, and mix across stay types.
  • Operating leverage: Evidence that incremental nights and experiences contribute meaningfully to gross profit without proportional increases in customer support, trust, or marketing costs.
  • Regulatory durability: Clarity and stability of the platform’s ability to operate across key markets without permanent margin impairment.
  • Liquidity and growth quality: Sustainable supply growth and repeat guest behavior that reduce acquisition dependence.

Accordingly, the investment debate usually centers on whether marketplace economics expand through mix and categories, or whether regulation and competition structurally compress margins and growth.

🔍 Investment Takeaway

Airbnb’s long-term case is anchored in durable marketplace economics: network effects supported by liquidity, reinforced by data-driven personalization and trust-and-safety operational advantages. The primary bear risks are jurisdiction-specific regulatory tightening and trust/liability outcomes that can reduce demand or raise operating costs. Given the platform’s asset-light model, the thesis favors sustained take-rate resilience and operating leverage as alternative accommodations and localized travel continue to grow.


⚠ AI-generated — informational only. Validate using filings before investing.

📊 AI Financial Analysis

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Earnings Data: Q Ending 2026-03-31

"ABNB reported Q1’26 revenue of $2.678B and net income of $160M (EPS $0.27). Revenue declined QoQ (from $2.778B in Q4’25 to $2.678B; -3.6% QoQ) but grew YoY (from $2.272B in Q1’25; +17.9% YoY). Net income also softened QoQ ($341M in Q4’25 to $160M; -53.1% QoQ) but remained up YoY ($154M in Q1’25 to $160M; +3.9% YoY). Profitability contracted over both horizons: net margin fell to 5.97% from 12.28% in Q4’25 (major QoQ compression) and was slightly lower than 6.78% in Q1’25. The gross margin improved slightly vs Q4’25 (78.3% vs 82.5% is actually lower QoQ), but overall operating income moved from $269M (Q4’25) to $86M (Q1’26), reflecting higher cost pressure and lower scale during the quarter. Cash flow remained strong. Operating cash flow was $1.708B and free cash flow approximated $1.708B in Q1’26 (no dividends and no buybacks shown in the quarter). Balance sheet resilience improved materially: cash & short-term investments rose to $12.005B and total assets increased to $26.828B, while equity was $7.636B. Total shareholder returns look supportive given ABNB’s strong momentum: the stock is up 25.67% over 1 year, which materially boosts the returns outlook. Analyst consensus target (~$146.94) sits slightly above the current price ($141.55)."

Revenue Growth

Good

Revenue was $2.678B in Q1’26, down -3.6% QoQ but up +17.9% YoY (vs $2.272B in Q1’25), indicating solid annual growth despite typical quarter-to-quarter seasonality.

Profitability

Caution

Net margin fell to 5.97% in Q1’26 from 12.28% in Q4’25 (large QoQ contraction) and from 6.78% in Q1’25 (slightly down YoY). Net income declined -53.1% QoQ and rose only +3.9% YoY.

Cash Flow Quality

Good

Operating cash flow was $1.708B in Q1’26 and free cash flow was similarly $1.708B, supporting earnings despite margin compression. No dividends were paid in the quarter.

Leverage & Balance Sheet

Positive

Total assets increased to $26.828B and cash & short-term investments rose to $12.005B. Equity was $7.636B and net debt remains negative (net cash position), indicating balance-sheet resilience.

Shareholder Returns

Strong

Strong capital appreciation: +25.67% 1-year change. With no dividend yield shown (0), returns are driven primarily by price momentum.

Analyst Sentiment & Valuation

Neutral

Consensus target of ~$146.94 is modestly above the current ~$141.55 (limited upside). Valuation appears rich (high P/E and price-to-sales from provided ratios).

Disclaimer:This analysis is AI-generated for informational purposes only. Accuracy is not guaranteed and this does not constitute financial advice.

Fundamentals Overview

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ABNB delivered a strong Q1 with revenue up 18% YoY to $2.7B and GBV up 19% to $29B, while profitability exceeded guidance (adjusted EBITDA +24% YoY to $519M). Nights and Seats Booked rose 9% YoY, but management quantified an ~100 bps drag from Middle East conflict; ex-conflict they estimated ~10% growth. Key operating momentum came from monetization and booking-flow improvements: Reserve Now, Pay Later adoption reached ~20% of global GBV, host pricing transparency via single service fee expanded to >25% of active listings, and search relevance upgrades supported bookings. On demand gen, experiences are turning into a measurable stay/service flywheel, and hotel pilots are scaling despite still being a single-digit share of nights. Management raised full-year revenue growth to low–mid teens and reiterated adjusted EBITDA margin at least 35%, supported by $1.7B Q1 free cash flow and $1.1B buybacks, alongside $2.5B new senior unsecured debt.

AI IconGrowth Catalysts

  • Reserve Now, Pay Later expansion to more markets; ~20% of global GBV from Reserve Now, Pay Later bookings
  • Improved search relevance impacting bookings (guest search improvements)
  • Redesigned host sign-up flow to increase ease of starting hosting; testing host insights (personalized recommendations)
  • Upgraded host pricing tools for demand/seasonality-based pricing
  • Experiences scaling as demand flywheel: ~1/4 of new experience guests go on to book a stay/service; ~1/3 book a stay within 90 days
  • Boutique & independent hotel pilot scaling to more mature markets (especially where home supply is constrained by regulation)
  • AI-driven customer support and faster engineering iteration (nearly 60% of code authored by AI; AI assistant resolves >40% of issues without a human)

Business Development

  • Expanded partnership with Delta Air Lines to earn Delta miles on qualifying Airbnb Experiences and Services in addition to homes
  • International Olympics partnerships: Winter Olympics (Italy) described as an official Olympics partner (event-driven host/supply growth and demand creation)
  • World Cup described as the next event chapter; outreach since October with 100,000+ first-time listed homes

AI IconFinancial Highlights

  • Revenue +18% YoY to $2.7B, exceeding the high end of guidance by 2 percentage points
  • Gross Booking Value +19% YoY to $29B; ADR +9% YoY (or +4% excluding FX); nights sequential acceleration Jan–Feb then slight March deceleration due to conflict-related cancellations
  • Nights and Seats Booked +9% YoY, including an ~100 bps headwind from Middle East conflict; absent conflict, estimated growth would be ~10% YoY
  • Adjusted EBITDA $519M, +24% YoY and exceeding guidance
  • Net income $160M impacted by one-time adjustment of ~$70M to deferred tax assets due to U.S. Corporate Alternative Minimum Tax
  • Adjusted EBITDA margin guidance for 2026: at least 35%; Q2 expects adjusted EBITDA and margin up YoY
  • Free cash flow: $1.7B in Q1; trailing 12 months $4.5B with 36% FCF margin
  • Capital-light model supports buyback: $1.1B repurchased common stock in Q1
  • Tax rate guidance: effective tax rate high teens for 2026 (down from 20% in 2025) driven by the One Big Beautiful Bill Act (foreign earnings taxation)

AI IconCapital Funding

  • Share repurchases: $1.1B in Q1 2026
  • Debt: completed $2.5B senior unsecured debt offering (investment-grade ratings received from major agencies)
  • Stated purpose of debt: debt repayment and general corporate purposes; rationale includes expanded corporate bond market access and cost of capital optimization

AI IconStrategy & Ops

  • Project Hawaii: small elite teams with a blueprint to ship simple improvements, ‘chip/learn/double down,’ then tackle larger bets; described as driving hundreds of millions of dollars in prior year revenue and broader show-through in Q1
  • API host migration to single service fee: >25% of active listings now subject to a single service fee; company testing expansion to more hosts
  • Cancellation policy redesign for more guest flexibility and confidence to book
  • AI customer support: AI assistant resolves >40% of issues without human agent (up from about 1/3 in Q4) with faster resolution time; cost per booking down ~10% YoY in Q1
  • App/UX focus: more aggressive push to move mobile web users to the app; improvements in optimization and notification hooks; app store momentum cited
  • Hotel product display upgrades: updated product display and navigation to better distinguish hotel vs home for consumers

AI IconMarket Outlook

  • Q2 2026 revenue: $3.54B to $3.6B (+14% to +16% YoY); includes ~3% FX tailwind after hedging
  • Q2 GBV growth: low double digits YoY; ADR expected to rise modestly; FX tailwind to ADR significantly lower vs Q1
  • Q2 Nights and Seats Booked: growth decelerates slightly vs Q1’s 9%, assuming ~100 bps headwind from Middle East conflict
  • Full-year 2026 revenue growth: low to mid-teens (raised guidance); adjusted EBITDA margin expected to be at least 35%

AI IconRisks & Headwinds

  • Conflict-related cancellations in EMEA and APAC causing March deceleration; management estimated ~100 bps headwind to Nights and Seats Booked
  • Tougher year-over-year comps in the back half of 2026 against Reserve Now, Pay Later rollout
  • Macro and geopolitical uncertainty affecting travel patterns (explicitly referenced as backdrop to 2026)
  • Reserve Now, Pay Later timing impacts reported metrics: earned fees/free cash flow would have grown faster absent payment deferral (unearned fees timing shift across quarters)

Q&A: Analyst Interest

  • Topic: App room nights growth drivers & AI-driven org changes: Management said the 22% app growth reflects more users gravitating to the mobile app, aided by a stronger push to download, more effective notifications and email “hooks,” and continued App Store momentum; for AI org restructuring, Brian said it’s too early to specify changes.
  • Topic: Delta partnership economics, take-rate impact, and flights/loyalty ambitions: Ellie stated Delta is a rev-share program and should not hurt take rate in 2026; management expects modest upside from the single-fee structure and insurance. Brian said loyalty and flights remain on the table but no announcements—loyalty would be differentiated, not additive points.
  • Topic: Hotel experience design + AI search learnings: Management described a differentiated, Airbnb-branded hotel UX rather than OTA-style. On AI search, they emphasized bottom-up strategy (starting with hardest AI: customer service) and progress: 40%+ self-solve via AI assistant, AI summaries/filters for mid-funnel, and top-funnel AI search testing; they cited limitations of chatbot interfaces for travel e-commerce.

Sentiment: POSITIVE

Note: This summary was synthesized by AI from the ABNB Q1 2026 earnings transcript. Financial data is complex; please verify all metrics against official SEC filings before making investment decisions.

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© 2026 Stock Market Info — Airbnb, Inc. (ABNB) Financial Profile