← Trade Desk overview

Trade Desk vs Datadog: why the prices moved differently

Weekly · monthly · quarterly news summaries, side by side in time

Trade Desk Inc (TTD)

Q3 2026
▼3

Trade Desk Plunges on Weak Guidance, AI Fears, and Index Removal

  • Weak Q2 Revenue and Q3 Guidance Q2 revenue grew only 3% to $715M, missing estimates, and Q3 guidance of ~$650M implied a 12% year-over-year decline, sending shares down over 27%.

    This was the primary negative catalyst that directly caused a sharp stock drop.

  • AI Disruption and Competitive Pressures AI disruption fears, AppLovin's crash, IBM's budget-cut warning, and mounting competition from Amazon and Google compounded losses, with TTD down over 40% in 2026.

    These external and competitive factors intensified selling pressure and weighed on investor sentiment.

  • S&P 500 Removal Triggers Forced Selling Removal from the S&P 500 to the SmallCap 600 triggered forced index-fund selling, adding to downward pressure on the stock.

    This technical event caused mechanical selling that exacerbated the decline.

  • Cost Cuts and AI Platform Positives The company announced 15% job cuts ($39–51M charges), initially lifting shares before demand worries reversed gains. Booking Holdings partnered with Trade Desk, and the new AI platform Kokai Zuma improved campaign results by 32%—though it's too early to know if this offsets competitive threats.

    These are the main positive developments that provided some counterweight to the negative drivers.

August 2026
▼2▲1

Trade Desk Cuts 15% of Jobs, Demoted to SmallCap Index

  • Weak Q2 results and soft guidance Trade Desk's Q2 revenue grew just 3% to $715 million, missing estimates, and guidance was weak. This shows the core business is slowing, which pushes the stock down because investors pay for future growth.

    This is the fundamental reason behind the stock's decline and the layoffs.

  • 15% workforce cut to save costs Trade Desk will cut 15% of jobs, taking $39–$51 million in charges. The stock initially rose 3% on hopes of lower costs, but later fell 4% as investors worried about weak demand. Cost cuts help profit but don't fix slowing growth.

    This is the period's biggest company-specific event and directly affects future earnings.

  • Demoted from S&P 500 to SmallCap 600 Trade Desk is being removed from the S&P 500 and moved to the SmallCap 600 index. Index funds that track the S&P 500 must sell the stock, creating mechanical selling pressure that pushes the price down regardless of business performance.

    This is a new event that forces index funds to sell, directly pressuring the stock price.

  • New AI platform Kokai Zuma launched Trade Desk launched Kokai Zuma, an AI upgrade that improves ad campaign results by 32% on average. If it attracts more advertisers, it could help growth. But it's too early to know if it will offset competition from Amazon and Google.

    This is a new product that could drive future demand, offering a potential positive counterweight.

Latest
▼2▲1

Trade Desk Cuts 15% of Jobs, Demoted to SmallCap Index

  • Weak Q2 results and soft guidance Trade Desk's Q2 revenue grew just 3% to $715 million, missing estimates, and guidance was weak. This shows the core business is slowing, which pushes the stock down because investors pay for future growth.

    This is the fundamental reason behind the stock's decline and the layoffs.

  • 15% workforce cut to save costs Trade Desk will cut 15% of jobs, taking $39–$51 million in charges. The stock initially rose 3% on hopes of lower costs, but later fell 4% as investors worried about weak demand. Cost cuts help profit but don't fix slowing growth.

    This is the period's biggest company-specific event and directly affects future earnings.

  • Demoted from S&P 500 to SmallCap 600 Trade Desk is being removed from the S&P 500 and moved to the SmallCap 600 index. Index funds that track the S&P 500 must sell the stock, creating mechanical selling pressure that pushes the price down regardless of business performance.

    This is a new event that forces index funds to sell, directly pressuring the stock price.

  • New AI platform Kokai Zuma launched Trade Desk launched Kokai Zuma, an AI upgrade that improves ad campaign results by 32% on average. If it attracts more advertisers, it could help growth. But it's too early to know if it will offset competition from Amazon and Google.

    This is a new product that could drive future demand, offering a potential positive counterweight.

July 2026
▼3▲1

Trade Desk Plunges on Weak Guidance and AI Fears

  • Q2 Miss and Weak Q3 Guidance Trade Desk missed second-quarter estimates and guided third-quarter revenue to at least $650 million, a 12% year-over-year decline versus $805 million expected, sending shares down over 27%.

    This was the primary catalyst for the stock's sharp decline during the period.

  • AI Disruption and Sympathy Selloff Broader AI disruption fears, a sympathy selloff tied to AppLovin's crash, and IBM's warning of enterprise software budget cuts added pressure, with TTD down over 40% in 2026.

    These external factors intensified selling pressure and contributed to the stock's steep year-to-date decline.

  • Mounting Competitive Threats Competitive threats are mounting as Amazon shifts ad tech to AWS with AI-driven advertising and Google develops tools letting advertisers bypass traditional DSPs.

    These competitive developments threaten Trade Desk's market position and future growth prospects.

  • Booking Holdings Partnership Booking Holdings partnered with Trade Desk to power data-driven travel advertising using high-intent travel data across the open internet, boosting demand for its platform.

    This partnership provides a positive counterweight by enhancing demand for Trade Desk's platform.

▲1▼1

Trade Desk's Weak Guidance and Rising Competition Shake Investor Confidence

  • Amazon and Google Competitive Threats Amazon and Google are rolling out new ad products that directly threaten Trade Desk's core demand-side platform model. Amazon is shifting ad tech to AWS and working on AI-driven advertising, while Google is developing a program that lets advertisers bypass traditional DSPs.

    This new competitive development adds fresh uncertainty to TTD's long-term business model.

  • Booking Holdings Partnership Booking Holdings partnered with The Trade Desk to power data-driven travel advertising across its platforms, using high-intent travel data for targeted campaigns on the open internet. This partnership increases demand for Trade Desk's ad platform.

    This is a new positive development that could help offset some negative sentiment and shows demand for TTD's services.

▼4

Trade Desk Crashes on Weak Q2 and Dismal Q3 Guidance

  • Q2 Miss and Q3 Revenue Decline Guidance Trade Desk reported Q2 revenue of $715 million and earnings of 34 cents, both below estimates. More importantly, it guided Q3 revenue to at least $650 million, implying a 12% year-over-year decline and far short of the $805 million expected. The stock plunged over 27%.

    This is the single biggest new event that directly caused the stock's massive drop and answers why TTD is moving now.

  • AI Disruption Fears Drive Investor Exodus Investors dumped stocks they believe AI will disrupt, including Trade Desk, which lost over 40% in 2026. This fear is a major force behind the selling pressure, as cheap AI tools threaten traditional ad-tech models.

    It explains the broader market sentiment that has been weighing on TTD and provides context for the recent crash.

  • Sympathy Sell-Off from AppLovin and Ad-Tech Weakness Before its own earnings, Trade Desk fell 6% in sympathy with AppLovin's 20% crash after AppLovin missed guidance. This shows how interconnected ad-tech stocks are and how negative sentiment can spread quickly.

    It highlights a specific event that contributed to TTD's decline just before its earnings, showing the sector-wide pressure.

  • IBM Warning Signals Enterprise Software Budget Cuts IBM's earnings warning indicated that enterprise customers are shifting budgets from software to hardware, which could reduce demand for advertising technology like Trade Desk's platform. TTD fell 3.6% on the news.

    It is an early signal of weakening demand that preceded the earnings miss and adds to the negative demand narrative.

Datadog Inc (DDOG)

Q3 2026
▲2▼2

Datadog Q3: Strong Q2, but growth-peak fears and governance worries

  • Q2 revenue up 36% with raised guidance Datadog's Q2 revenue rose 36% to $1.12 billion, marking an eighth straight quarter of sequential growth. The company raised full-year guidance, and demand broadened beyond AI, showing the business is still expanding quickly.

    This is the core positive fundamental driver for the period.

  • Customers stack more products; large deals double More customers are using multiple Datadog products: 58% now use four or more, up from 56% last quarter. Large deals doubled, and AI-agent monitoring is starting to bring in money, showing the strategy is working.

    This shows deepening customer adoption and new monetization, a key growth driver.

  • Growth-peak fears, weak Q3 guide, margin miss Bernstein downgraded the stock on fears growth has peaked. Q3 guidance implied just 1.8% sequential growth, and gross margin slightly missed. Spending intentions weakened, signaling a possible slowdown despite the strong quarter.

    These are the main negative forces that pressured the stock during the period.

  • Customer concentration and governance worries Datadog's largest customer cut usage, raising concerns about relying too much on one client. A Nevada reincorporation criticized for weakening shareholder rights and a $33 million insider sale added governance worries.

    These risks weighed on investor sentiment and the stock price.

August 2026
▲2▼2

Datadog Q2 beat, raised outlook, but guidance and governance weigh

  • Q2 beat and raised full-year outlook Datadog beat Q2 estimates with 36% revenue growth to $1.12 billion and raised its full-year outlook to $4.45–$4.47 billion (30% growth). This shows the business is still expanding strongly, which supports the stock.

    This is the main positive fundamental driver for the period.

  • Broadening demand beyond AI Demand broadened: 750+ AI customers, accelerating non-AI growth, international expansion, and new government/marketplace partnerships. This reduces reliance on AI and shows the customer base is widening, a positive for future growth.

    It explains why growth is becoming more durable, a key new positive.

  • Weak Q3 guidance and margin miss Q3 guidance implied only 1.8% sequential growth, and adjusted gross margin slightly missed consensus. This suggests a sharp slowdown ahead, which can pressure the stock.

    It is a major new negative that weighed on sentiment.

  • Customer concentration and governance concerns Its largest customer reduced usage, raising concentration concerns. Also, a planned Nevada reincorporation that could weaken shareholder rights drew criticism from Sands Capital, and a director sold roughly $33 million in stock. These governance and concentration issues can weigh on the stock.

    It highlights new risk factors that emerged this period.

Latest
▲3

Datadog's AI observability demand broadens; valuation and governance are watch items

  • International expansion and 30% growth guidance Datadog's business outside the US now makes up about 27% of revenue, with strong growth in Latin America, and management still expects full-year revenue of $4.45–$4.47 billion, up 30%. More sales from new regions support the stock, though expansion costs and currency swings can pinch near-term profit.

    Shows a concrete new growth engine and reaffirmed guidance that underpin the bull case.

  • AI customers top 750; non-AI growth accelerates Datadog now has over 750 AI-focused customers, and growth from its non-AI customers sped up to the high-20% range from 18% a year earlier. A large media company signed a multiyear deal worth over $30 million. This broadening demand supports higher sales and a richer valuation.

    Demonstrates that AI demand is spreading to the core business, a key new positive.

  • Government and marketplace partnerships widen reach Datadog teamed with Vertosoft to sell to US government agencies after its platform earned FedRAMP High certification, and with Cloudaware to list a log tool on its marketplace. These deals open new customer pools and deepen reliance on Datadog, supporting future revenue.

    New distribution channels that can add customers and revenue over time.

  • Governance concerns and insider selling weigh on sentiment Sands Capital raised concerns about Datadog's plan to reincorporate in Nevada, which could weaken shareholder rights, and a director sold about $33 million of stock. These issues don't change the business but can make some investors more cautious and cap the stock's rise.

    Provides the main counterweight to the positive demand story, keeping the picture fair.

September 2026
▲3

Datadog's AI-era demand broadens as big customers spend more

  • Customers stack more Datadog products More customers are buying several Datadog tools at once: 58% now use at least four products, up from 52% a year ago, and a media company signed a deal worth over $30 million. Selling more to each customer lifts revenue without needing as many new customers.

    Shows the demand engine behind Datadog's growth, a core reason the stock can keep rising.

  • AI-agent monitoring starts making money Datadog says thousands of customers now pay for tools that watch AI agents, a brand-new market it is racing Dynatrace to own. If AI creates more software activity to monitor, that expands Datadog's long-term sales opportunity.

    A new growth market is the biggest long-term driver of whether Datadog's revenue keeps compounding.

  • Big enterprise deals and profits both grow New large-customer bookings more than doubled, customers spending $100,000+ a year rose 23% to about 4,720, and over 750 AI-native firms now use Datadog. Revenue grew 36% to $1.12 billion, with free cash flow up to $279 million from $165 million.

    Confirms Datadog is winning bigger contracts while also becoming more profitable, which supports the share price.

  • One giant customer cut usage, guidance absorbs it Datadog's single largest customer reduced how much it uses, which hurt the quarter and was the main reason the stock fell despite beating forecasts. Management says the cut is fully baked into guidance, so the risk is known but not gone.

    The main counterweight to the growth story and the reason a strong quarter still disappointed investors.

▲3

Datadog's AI-era demand broadens as big customers spend more

  • Customers stack more Datadog products More customers are buying several Datadog tools at once: 58% now use at least four products, up from 52% a year ago, and a media company signed a deal worth over $30 million. Selling more to each customer lifts revenue without needing as many new customers.

    Shows the demand engine behind Datadog's growth, a core reason the stock can keep rising.

  • AI-agent monitoring starts making money Datadog says thousands of customers now pay for tools that watch AI agents, a brand-new market it is racing Dynatrace to own. If AI creates more software activity to monitor, that expands Datadog's long-term sales opportunity.

    A new growth market is the biggest long-term driver of whether Datadog's revenue keeps compounding.

  • Big enterprise deals and profits both grow New large-customer bookings more than doubled, customers spending $100,000+ a year rose 23% to about 4,720, and over 750 AI-native firms now use Datadog. Revenue grew 36% to $1.12 billion, with free cash flow up to $279 million from $165 million.

    Confirms Datadog is winning bigger contracts while also becoming more profitable, which supports the share price.

  • One giant customer cut usage, guidance absorbs it Datadog's single largest customer reduced how much it uses, which hurt the quarter and was the main reason the stock fell despite beating forecasts. Management says the cut is fully baked into guidance, so the risk is known but not gone.

    The main counterweight to the growth story and the reason a strong quarter still disappointed investors.

▼3▲1

Datadog Q2 beat but weak Q3 guide and margin miss sink stock

  • Q3 revenue guidance implies only 1.8% sequential growth Datadog beat Q2 estimates with 36% revenue growth to $1.12 billion, but its Q3 guidance of $1.135–$1.145 billion implies just 1.8% sequential growth. Investors had priced in faster AI-driven expansion, so the slowdown signal pushed the stock down sharply.

    This is the main new negative driver behind the stock's 15% drop this period.

  • Adjusted gross margin slightly below consensus Datadog reported an adjusted gross margin of 80%, just below the 80.7% consensus. While small, the miss added to concerns about cost pressures and profitability, contributing to the sell-off in software stocks.

    This is a new negative factor that weighed on the stock this period.

  • Usage reduction from largest customer Datadog noted a usage reduction from its largest customer, which was incorporated into guidance. This raises concerns about customer concentration and the sustainability of AI-driven spending, adding to the cautious outlook.

    This is a new disclosure that explains part of the guidance slowdown and investor worry.

  • Strong Q2 results and raised full-year outlook Datadog's Q2 revenue rose 36% to $1.12 billion, beating guidance, with operating margin of 23% and free cash flow of $279 million. The company raised its full-year 2026 revenue outlook to $4.45–$4.47 billion, showing the business remains fundamentally strong.

    This is the positive counterweight showing the underlying business is still growing well.

July 2026
▲2▼1

Datadog's AI push and strong sales offset cautious analyst and spending signals

  • Bernstein downgrade on growth peak fears Bernstein downgraded Datadog to market-perform, warning that upcoming earnings face tough comparisons and non-AI growth may have peaked. This cautious view can weigh on the stock as investors worry about slowing momentum.

    A fresh analyst downgrade directly affects sentiment and is a new negative driver.

  • Adaptive ML acquisition and Street-high price target Datadog acquired Adaptive ML to boost AI research for observability, and Benchmark raised its price target to a Street-high $330, citing strong execution. This reinforces the AI growth story and supports a higher stock price.

    The acquisition and bullish analyst action are new positive catalysts for the period.

  • Eight straight quarters of revenue growth Datadog posted its eighth consecutive quarter of sequential revenue growth, with Q1 2026 revenue up 32% year over year. This steady demand shows the business is still expanding, which can lift the stock.

    The streak of growth is a new data point confirming demand strength.

  • Strong Q2 sales but weakening spending intentions A BNP survey found Datadog sales beat plan in Q2, driven by infrastructure monitoring, APM, and AI. However, customers' spending intentions for the next three months fell sharply, signaling possible slowdown ahead.

    This survey gives a fresh, balanced view of current demand versus future risk.

▲2▼1

Datadog's AI push and strong sales offset cautious analyst and spending signals

  • Bernstein downgrade on growth peak fears Bernstein downgraded Datadog to market-perform, warning that upcoming earnings face tough comparisons and non-AI growth may have peaked. This cautious view can weigh on the stock as investors worry about slowing momentum.

    A fresh analyst downgrade directly affects sentiment and is a new negative driver.

  • Adaptive ML acquisition and Street-high price target Datadog acquired Adaptive ML to boost AI research for observability, and Benchmark raised its price target to a Street-high $330, citing strong execution. This reinforces the AI growth story and supports a higher stock price.

    The acquisition and bullish analyst action are new positive catalysts for the period.

  • Eight straight quarters of revenue growth Datadog posted its eighth consecutive quarter of sequential revenue growth, with Q1 2026 revenue up 32% year over year. This steady demand shows the business is still expanding, which can lift the stock.

    The streak of growth is a new data point confirming demand strength.

  • Strong Q2 sales but weakening spending intentions A BNP survey found Datadog sales beat plan in Q2, driven by infrastructure monitoring, APM, and AI. However, customers' spending intentions for the next three months fell sharply, signaling possible slowdown ahead.

    This survey gives a fresh, balanced view of current demand versus future risk.

Q2 2026
▲3

Datadog's strong demand and AI acquisition offset rising competition

  • Record Q1 revenue and customer growth Datadog reported Q1 revenue of $1.01 billion, up 32.2% year over year and beating estimates by 4.9%. It added 240 large enterprise customers, bringing the total to 4,550. This shows strong demand for its monitoring tools, which supports a higher stock price.

    This is a new earnings report that directly shows Datadog's financial strength and growth.

  • Backlog surges 51% to $3.48 billion Remaining performance obligations, a measure of future contracted revenue, jumped 51% to $3.48 billion. This was driven by more multi-year deals and record new customer signings. A growing backlog gives confidence in future revenue and can push the stock up.

    This forward-looking metric signals accelerating demand and is new information from the latest quarter.

  • Multi-product adoption and raised guidance More customers are using multiple Datadog products: 56% use four or more, up from 51% a year ago. Annual recurring revenue passed $4 billion, and the company raised its 2026 revenue guidance to $4.30–$4.34 billion, implying 25–27% growth. This shows the strategy is working and supports a higher valuation.

    This new update on product adoption and guidance directly affects growth expectations and stock price.

  • AI acquisition and rising competition Datadog acquired AI startup Adaptive ML, which could enhance its AI monitoring capabilities and lifted the stock over 2%. However, Elastic launched new observability features with automated migration tools from Datadog, directly targeting its customers. This competitive threat could pressure future growth and the stock price.

    These are new events that show both a positive strategic move and a negative competitive development.

June 2026
▲3

Datadog's strong demand and AI acquisition offset rising competition

  • Record Q1 revenue and customer growth Datadog reported Q1 revenue of $1.01 billion, up 32.2% year over year and beating estimates by 4.9%. It added 240 large enterprise customers, bringing the total to 4,550. This shows strong demand for its monitoring tools, which supports a higher stock price.

    This is a new earnings report that directly shows Datadog's financial strength and growth.

  • Backlog surges 51% to $3.48 billion Remaining performance obligations, a measure of future contracted revenue, jumped 51% to $3.48 billion. This was driven by more multi-year deals and record new customer signings. A growing backlog gives confidence in future revenue and can push the stock up.

    This forward-looking metric signals accelerating demand and is new information from the latest quarter.

  • Multi-product adoption and raised guidance More customers are using multiple Datadog products: 56% use four or more, up from 51% a year ago. Annual recurring revenue passed $4 billion, and the company raised its 2026 revenue guidance to $4.30–$4.34 billion, implying 25–27% growth. This shows the strategy is working and supports a higher valuation.

    This new update on product adoption and guidance directly affects growth expectations and stock price.

  • AI acquisition and rising competition Datadog acquired AI startup Adaptive ML, which could enhance its AI monitoring capabilities and lifted the stock over 2%. However, Elastic launched new observability features with automated migration tools from Datadog, directly targeting its customers. This competitive threat could pressure future growth and the stock price.

    These are new events that show both a positive strategic move and a negative competitive development.

▲3

Datadog's strong demand and AI acquisition offset rising competition

  • Record Q1 revenue and customer growth Datadog reported Q1 revenue of $1.01 billion, up 32.2% year over year and beating estimates by 4.9%. It added 240 large enterprise customers, bringing the total to 4,550. This shows strong demand for its monitoring tools, which supports a higher stock price.

    This is a new earnings report that directly shows Datadog's financial strength and growth.

  • Backlog surges 51% to $3.48 billion Remaining performance obligations, a measure of future contracted revenue, jumped 51% to $3.48 billion. This was driven by more multi-year deals and record new customer signings. A growing backlog gives confidence in future revenue and can push the stock up.

    This forward-looking metric signals accelerating demand and is new information from the latest quarter.

  • Multi-product adoption and raised guidance More customers are using multiple Datadog products: 56% use four or more, up from 51% a year ago. Annual recurring revenue passed $4 billion, and the company raised its 2026 revenue guidance to $4.30–$4.34 billion, implying 25–27% growth. This shows the strategy is working and supports a higher valuation.

    This new update on product adoption and guidance directly affects growth expectations and stock price.

  • AI acquisition and rising competition Datadog acquired AI startup Adaptive ML, which could enhance its AI monitoring capabilities and lifted the stock over 2%. However, Elastic launched new observability features with automated migration tools from Datadog, directly targeting its customers. This competitive threat could pressure future growth and the stock price.

    These are new events that show both a positive strategic move and a negative competitive development.