Reddit, Inc.

Reddit, Inc. (RDDT) Market Cap

Reddit, Inc. has a market capitalization of .

No quote data available.

CEO: Steven Ladd Huffman

Sector: Communication Services

Industry: Internet Content & Information

IPO Date: 2024-03-21

Website: https://www.redditinc.com

Reddit, Inc. (RDDT) - Company Information

Market Cap: -|Sector: Communication Services

Company Profile

Reddit, Inc. oversees an internet-based service dedicated to fostering diverse online communities. This platform categorizes groups by shared passions, enabling its users to participate in dialogues through recounting experiences, sharing external web addresses, uploading visual and video content, and engaging in direct replies. Founded in 2005, the corporation maintains its central operations in San Francisco, California. Reddit, Inc. also functions as a controlled subsidiary of Advance Publications, Inc.

Analyst Sentiment

74%
Strong Buy

From 33 Active Polls

1Y Forecast: $210.15

▲ +0.0% Potential Upside

Consensus Target Metrics

Low Bound

$110

Median

$200

High Bound

$265

Average

$210

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
$210.15
▲ +49.39% Upside
Low Target
$110.00
-22% Risk
Median Target
$200.00
42% Mid
High Target
$265.00
88% 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.

📘 REDDIT INC CLASS A (RDDT) — Investment Overview

🧩 Business Model Overview

Reddit operates a large-scale user-generated content (UGC) and community platform. Users create content and participate in topic-based communities (“subreddits”), while the platform’s ranking and moderation systems determine what gets surfaced and how communities remain functional. Monetisation is primarily driven by attracting advertisers to a dense set of active audiences and purchase-intent signals embedded in ongoing discussions. Reddit also monetises through platform access and developer-facing interfaces (e.g., API access) and through user-driven paid features, subject to product and policy execution.

The value chain is straightforward: attract and retain community participation → improve content discovery and engagement through ranking/moderation tooling → convert engagement into advertising demand and other monetisation streams.

💰 Revenue Streams & Monetisation Model

Reddit’s monetisation is largely ad-driven, complemented by subscription-like and platform-access revenue streams. The margin profile is typically characterized by:

  • Advertising revenue: paced by ad impressions, targeting effectiveness, and the ability to increase ad load without damaging user experience. For social platforms, incremental engagement often leverages the same underlying infrastructure, supporting operating leverage when moderation and content systems scale efficiently.
  • Paid user features / commerce-adjacent monetisation: typically less scalable than ads, but can diversify revenue and improve customer lifetime value when product-market fit is sustained.
  • Platform access (e.g., API / data licensing): can contribute margins that are structurally higher than core ad delivery, provided governance, partner demand, and technical reliability remain strong.

Overall, the key margin driver is the platform’s ability to translate engagement into monetisable attention while maintaining community health (moderation effectiveness) and preserving advertiser usability (brand-safety controls).

🧠 Competitive Advantages & Market Positioning

Reddit’s core moat is a combination of network effects (audience and participation flywheel) and high switching costs rooted in community identity and data gravity (persistent threads, user reputation signals, and long-lived subcommunity knowledge). Unlike “feed-only” experiences, Reddit’s subreddit structure concentrates topic-specific communities, making it harder for competitors to replicate the depth of niche engagement quickly.

Moat components:

  • Community network effects: the value of participating rises with both active creators and the audience they attract—especially within topic-specific subreddits.
  • Switching costs / identity lock-in: user history (posts, comments, voting behavior), moderation roles, and community relationships reduce churn to alternative platforms.
  • Data gravity and moderation tooling: accumulated content and engagement patterns improve ranking and relevance; effective moderation frameworks create a functional barrier that is operationally difficult for new entrants to match.

Competitive benchmarking (primary competitors):

  • Meta Platforms (Facebook/Instagram): broad social graph distribution and strong ad targeting, but positioned as general-purpose social experiences rather than the highly structured, topic-first community model.
  • X (Twitter): real-time social news dynamics and celebrity/interest-driven followings, but with weaker subreddit-like community depth and less durable topic clustering.
  • TikTok (and short-form video ecosystems): attention capture with strong algorithmic discovery, but content format and creator economics differ materially from Reddit’s discussion-centric value proposition.

Reddit’s differentiation is structural: topic-centric communities with persistent, searchable discussion create a different engagement “surface area” than broad social graphs or short-form feeds.

🚀 Multi-Year Growth Drivers

Growth over a 5–10 year horizon is likely to be driven by both user engagement durability and monetisation efficiency:

  • Expanded advertiser usefulness: improving ad targeting and measurement while maintaining brand safety. As advertisers learn to integrate Reddit’s audience insights into campaigns, ad demand can deepen.
  • Developer and data ecosystem: sustained relevance of platform access for partners (developers, research, and commercial tools) can broaden monetisation beyond standard display and sponsored posts.
  • Community depth across more topics: expanding high-intent verticals (technology, gaming, finance, health-adjacent discussions, shopping research) increases monetisable moments and advertiser category breadth.
  • AI-era relevance and information utility: as AI tooling increases competition for attention, platforms that retain human-curated discussion quality and signal depth can preserve a distinct role in consumer research and community learning.
  • Operating leverage from scaled moderation and infrastructure: once community health systems and ranking pipelines are mature, incremental engagement can translate into improved margin conversion.

⚠ Risk Factors to Monitor

  • Regulatory and content governance risk: changes in moderation obligations, data usage rules, or advertising policy can constrain monetisation or increase compliance costs.
  • Platform competition and engagement migration: large incumbents with greater budgets and distribution can attract creators and attention, reducing the rate of net user growth or ad intensity.
  • Brand-safety and advertiser confidence: if community content moderation quality deteriorates, advertiser demand and CPMs can be pressured; restoring trust can take time.
  • Technological disruption: shifts in user behavior toward new content formats (video-first, conversational interfaces) could reduce time spent on text-based discussion unless the product evolves without harming community utility.
  • AI-generated content and spam dynamics: higher volume of low-quality or automated content can degrade relevance and increase moderation burdens, impairing engagement and monetisation.
  • Execution risk in monetisation expansion: monetisation changes that compromise user experience can reduce engagement, harming the primary ad-driven model.

📊 Valuation & Market View

Equity markets often value social and ad-platform businesses using revenue multiples (such as P/S) and, when profitability becomes clearer, cash-flow-based measures (EV/EBITDA). Key valuation drivers typically include:

  • Monetisation efficiency: monetisable engagement per active user, ad load effectiveness, and advertiser demand durability.
  • Operating leverage: moderation, ranking, and infrastructure costs as a share of revenue as scale increases.
  • Regulatory overhang: the probability-weighted impact of compliance and content governance requirements on margins and addressable ad inventory.
  • Reinvestment capacity: credible path to growth without a disproportionate increase in total cost structure.

In this sector, the market typically pays for sustainable engagement and credible improvements in ad monetisation and ancillary revenue streams, while discounting platforms with persistent brand-safety or regulatory uncertainty.

🔍 Investment Takeaway

Reddit presents a differentiated social advertising platform anchored by durable community network effects and meaningful switching costs formed by identity, reputation, and persistent topic ecosystems. The long-term thesis rests on the ability to scale monetisation—primarily advertising—while protecting community health and advertiser confidence. The principal investment risk is regulatory and governance-driven friction, combined with competitive pressure on user attention and content quality, particularly under AI-era spam and engagement disruption.


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

📊 AI Financial Analysis

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Earnings Data: Q Ending 2026-06-30

"RDDT reported Q2 2026 revenue of $804.9M and net income of $252.8M, with diluted EPS of $1.25. YoY, revenue increased 61.2% (vs. Q2 2025: $499.6M) and net income rose 183.4% (vs. $89.3M). QoQ, revenue grew 21.2% (vs. Q1 2026: $663.4M) while net income increased 24.0% (vs. $204.0M). Profitability continued to strengthen across the four-quarter stretch. Gross margin was very high at 91.3% in Q2 2026, and net margin expanded to 31.4% from 17.9% in Q2 2025. Operating margin improved to 28.8% (up from 13.6% in Q2 2025), and EPS rose meaningfully as costs scaled slower than revenue. Cash flow quality looks strong: operating cash flow was $261.9M and free cash flow was $260.7M in Q2 2026, supporting continued shareholder returns. The company repurchased $234.6M of common stock in the quarter and paid no dividends, and it remains conservatively leveraged with net cash (net debt of -$1.47B). Total shareholder return is likely supported by price momentum (1-year price change +71.7%). Analyst consensus targets suggest upside (current ~$163.8 vs. consensus ~$218.3)."

Revenue Growth

Strong

Q2 2026 revenue grew 21.2% QoQ ($663.4M to $804.9M) and 61.2% YoY ($499.6M to $804.9M).

Profitability

Strong

Net income increased 24.0% QoQ and 183.4% YoY; net margin expanded to 31.4% (from 17.9% in Q2 2025), indicating margin expansion despite higher operating spend.

Cash Flow Quality

Strong

Q2 2026 operating cash flow was $261.9M and free cash flow $260.7M, broadly covering net income and enabling $234.6M of buybacks; no dividend payments.

Leverage & Balance Sheet

Strong

Highly liquid balance sheet with net cash position (net debt -$1.47B) and strong equity ($3.29B). Total assets rose to $3.64B from $3.48B QoQ.

Shareholder Returns

Good

Share buybacks of $234.6M in Q2 2026 plus strong price momentum (1y_change +71.7%) with zero dividend yield.

Analyst Sentiment & Valuation

Positive

Consensus target (~$218.3) implies upside vs. ~$163.8, but valuation appears elevated (high P/S and P/E in provided ratios), tempering the score.

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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Reddit’s Q2 shows compounding monetization and margin leverage: $805M revenue (+61% YoY) and 91.3% gross margin (+50 bps), with adjusted OpEx at 49% of revenue (800 bps improvement). Operating cash flow doubled to $262M, CapEx stayed de minimis ($1M), and they deployed ~$235M into buybacks with ~$760M remaining. On the growth engine, management leaned heavily on product-led WAU-to-DAU conversion (new app retention +50% YoY relative), feed model updates, and upper/lower-funnel ad capabilities via Reddit Max (app installs objective; tailored AI creatives) plus Shopify scaling and improved attribution (dual attribution beta). The key operating friction is external: search referrals were choppy late-quarter, with AI Overviews and machine-translation declines cited. Investor Q&A pressure centered on whether logged-out → logged-in conversion can sustain U.S. milestones and how licensing with Google/OpenAI evolves; management reiterated confidence as product progress remains within control.

AI IconGrowth Catalysts

  • Updated feed models increasing contribution rates and session frequency
  • Video and comments plus interactive formats (video-first, AMAs, video) expanding upper-funnel performance
  • WAU-to-DAU conversion work: improved new app user retention up 50% YoY (relative), and web-to-app conversion
  • Reddit Max: app install objective added to Max campaigns; tailored creatives using AI to identify communities and variants
  • Lower-funnel shopping/app performance: alpha shopping listing ads carousel; app ads Max beta showing 15% lower cost per action and 28% higher results volume
  • Measurement: dual attribution in beta combining first-party attribution with mobile measurement partner signals to improve ML models and optimization

Business Development

  • Shopify integration became generally available in May; 500+ accounts integrated with strong activation rates
  • Reddit Max Ads API and credit lines ecosystem (more than half of revenue from credit line relationships; Ads API revenue grew 40%+ from Q1)
  • Data licensing relationships discussed broadly; Steve referenced Google (10 blue links, AI Overviews placement) and OpenAI as part of ongoing licensing/value-maximization strategy
  • Third-party measurement/research cited: Attain and Circana; TransUnion

AI IconFinancial Highlights

  • Total revenue: $805M, +61% YoY (vs implied strong momentum; no explicit EPS/revenue consensus given in transcript)
  • Advertising revenue: $762M, +64% YoY
  • Other revenue: $43M, +24% YoY
  • Gross margin: 91.3%, +50 bps YoY
  • Adjusted costs/expenses: $462M, +39% YoY; hosting efficiency programs offset higher compute from AI/ML usage
  • Adjusted OpEx: $392M, 49% of revenue vs 57% last year (8 percentage point improvement = 800 bps)
  • Operating cash flow: $262M (+$151M; doubled YoY from $111M)
  • CapEx: $1M (<0.2% of revenue) stayed light
  • SBC taxes: $107M, 13% of revenue (in line with benchmarks); sequentially higher due to timing of annual grant
  • Share repurchases: ~$235M (~1.5M shares) at average price ~$157
  • Q3 guidance (internal outlook): revenue $860M-$870M (+47%-49% YoY; midpoint ~48%)
  • Q3 guidance: adjusted EBITDA $385M-$395M (+63%-67% YoY) with adjusted EBITDA margin 45% midpoint
  • Full-year SBC expense guide lowered: from high-teens % of revenue to low-to-mid-teens % of revenue; SBC + related taxes expected in Q3 at $140M-$155M due to vesting/grant timing
  • Logged-in/logged-out metric change: last quarter to report logged user metrics (Q2); Q3 will report only total U.S./international daily & weekly active users (no logged-in/logged-out daily metrics)

AI IconCapital Funding

  • Share repurchases in Q2: ~$235M (~1.5M shares) at avg ~$157
  • Remaining authorization: ~$760M left
  • Cash equivalents & marketable securities: $2.8B, up $700M+ YoY; slightly higher sequentially
  • CapEx: $1M in Q2 (<0.2% of revenue), implying cash runway supports growth + buybacks + M&A priorities

AI IconStrategy & Ops

  • Automation scaling through Reddit Max: private beta adoption; number of advertisers using Max up 60% from Q1; Max revenue up 150% over same period
  • Model/creative improvements: tailored creatives with AI to design variants; plan to expand Max onboarding for SMBs as primary onboarding experience
  • Product growth initiatives: easier posting and finding communities; feed model improvements to raise contribution and session frequency
  • Mobility/app focus: increased downloads and web users converting into higher-value app/direct users; engagement gains from video/comments and interactive games
  • Operational cost discipline: adjusted OpEx leverage (49% of revenue vs 57% prior year) and gross margin expansion (+50 bps)
  • Marketing: paid marketing results described as mixed; brand campaign People Are the Best launched and viewed as encouraging, while user acquisition spend needs improved returns

AI IconMarket Outlook

  • Q3 2026 revenue guide: $860M-$870M (+47%-49% YoY; midpoint ~48%)
  • Q3 2026 adjusted EBITDA guide: $385M-$395M (+63%-67% YoY) with adjusted EBITDA margin 45% at midpoint
  • Full-year SBC guide reduced to low-to-mid-teens % of revenue (from high-teens); Q3 SBC + related taxes $140M-$155M

AI IconRisks & Headwinds

  • Search referrals choppy and traffic more volatile late in the quarter; visibility into referral traffic remains low
  • External search volatility tied to AI Overviews dynamics; Steve stated AI Overviews has not yet replicated the positive impact of 10 blue links
  • Machine-translated content decline was cited as a contributor to international search referral volatility; machine translation remains useful for new in-app users
  • Investor sentiment concern (Q&A): perceived U.S. daily/user pressure and difficulty converting logged-out web traffic to logged-in users as search shifts to AI
  • Marketing efficiency risk: paid user acquisition spending needs stronger attention to improve returns (user acquisition described as mixed)

Q&A: Analyst Interest

  • Topic: Ads strength drivers and advertiser adoption mechanics: Management attributes ad growth to resonating messaging about human advice, market-competitive outcomes (more conversions/clicks at equal or better prices), and strong tool adoption that simplifies onboarding plus retains advertisers via credit lines and funnel friction reduction across verticals and channels.
  • Topic: WAU-to-DAU conversion, especially feed focus: Management emphasized frequency via increased stickiness, with feed improvements expected to drive higher retention. They cited being behind state-of-the-art feed tech for headroom, running “hundreds” of feed/onboarding/quality experiments, and converting web users into higher-value app users for stronger in-app retention.
  • Topic: Search/referral volatility and data licensing outlook timing: Management said magnitude is not quantified, but changes align with an evolving search ecosystem. They referenced declines in machine-translated content and AI Overviews not yet matching 10 blue links. On licensing, they did not give a dated timeline in the visible portion, framing outcomes as non-binary and value-maximizing for Reddit.

Sentiment: MIXED

Note: This summary was synthesized by AI from the RDDT Q2 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 — Reddit, Inc. (RDDT) Financial Profile