Datadog is a cloud-native company that focuses on analyzing machine data... Show more
Datadog is a cloud-based observability and security platform that gives enterprises unified visibility across their technology stack. Its SaaS and usage-based tools monitor infrastructure, applications, logs, databases, networks, and security in a single place, and the company has positioned itself as a leading observability provider for the AI era by adding GPU monitoring, AI integration tracking, and AI-native debugging capabilities.
Datadog ended its first quarter with roughly 33,200 customers, including about 4,550 with $100,000 or more in annual recurring revenue, and total ARR exceeding $4 billion. Its competitive strengths include a broad, integrated product portfolio, high net revenue retention in the low 120% range, and a growing base of AI-native customers that spend significantly more than traditional accounts. Investors follow the stock closely because it is viewed as a key beneficiary of rising AI infrastructure and application spending.
Over the last 30 days, Datadog shares advanced approximately 11%, moving from a closing level near $229.92 in mid-September to the mid-$250s. The rally was not a straight line: the stock surged to an intraday high near $293 in early October before a sharp pullback across AI-linked software names pushed it back toward the low $240s in mid-October. A subsequent analyst upgrade helped the stock recover into the mid-$250s.
By contrast, the trailing quarter has been essentially flat. From a mid-July closing level near $263, the stock sits slightly lower — down roughly 2% to 3% — reflecting a volatile three-month path that included a sharp August selloff, a September-to-early-October rebound, and renewed volatility in October. The divergence between the 30-day gain and the roughly flat quarterly performance highlights how much of the recent appreciation arrived within a narrow window.
The strongest driver of the 30-day advance was renewed confidence in AI-driven demand. Third-party alternative data cited by analysts pointed to a significant sequential acceleration in enterprise token consumption, reinforcing the view that Datadog's monitoring and observability tools will see rising usage as AI workloads scale into production.
Analyst actions amplified the move. Bernstein upgraded Datadog to Outperform from Market Perform and raised its price target to $350 from $237, arguing that AI-native demand growth was stronger than it had previously assumed. Separately, Mizuho raised its price target to $330 from $300 while maintaining an Outperform rating, citing healthy channel checks and robust public-cloud and AI adoption trends.
The advance was also marked by notable volatility. A broad mid-October selloff in high-valuation, AI-linked software stocks erased a meaningful portion of the gains before the Bernstein upgrade — and the accompanying price-target increases — sparked a sharp single-session rebound of more than 5%. This back-and-forth reflects a market weighing accelerating AI demand against a rich valuation and signs of softer growth in Datadog's traditional, non-AI customer base.
The broader quarterly story is one of strong fundamentals colliding with concentration concerns and sector-wide swings. Datadog's second-quarter results showed revenue of $1.12 billion, up 36% year over year and above the top of guidance, with a record sequential revenue increase. Management also reported that growth from non-AI customers re-accelerated into the high 20% range.
At the same time, the company disclosed that its largest "born-in-AI" customer — widely reported to be OpenAI — reduced its annual recurring revenue commitment by roughly $100 million, and management guided third-quarter revenue growth to 28% to 29%, a notable step down from 36%. That single-customer concentration risk weighed on sentiment for much of the period and contributed to the stock's choppiness, even as the broader AI-demand narrative remained positive.
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The next major catalyst is Datadog's third-quarter earnings report, scheduled for November 4, 2026. Management has guided to revenue of $1.135 billion to $1.145 billion, implying 28% to 29% year-over-year growth, and investors will be watching whether AI-native customer usage can offset any slowdown among traditional customers, which still represent the large majority of revenue.
Beyond earnings, key factors to monitor include enterprise token-consumption trends at large AI labs, the trajectory of non-AI customer growth, net revenue retention, and any update on the company's largest customer relationship. Valuation also remains a point of focus: the stock trades at a high forward earnings multiple, so expectations for sustained rapid growth are already embedded in the price. Broader macroeconomic conditions, AI capital-expenditure trends, and competitive pressures in observability and security will likewise shape how investors evaluate the stock in the months ahead.
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The 10-day moving average for DDOG crossed bullishly above the 50-day moving average on September 28, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 12 of 15 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are 80%.
Following a +4.14% 3-day Advance, the price is estimated to grow further. Considering data from situations where DDOG advanced for three days, in 235 of 312 cases, the price rose further within the following month. The odds of a continued upward trend are 75%.
DDOG may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Aroon Indicator entered an Uptrend today. In 145 of 196 cases where DDOG Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 74%.
The 10-day RSI Indicator for DDOG moved out of overbought territory on October 13, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 31 similar instances where the indicator moved out of overbought territory. In 19 of the 31 cases, the stock moved lower in the following days. This puts the odds of a move lower at 61%.
The Stochastic Oscillator entered the overbought zone. Expect a price pull-back in the foreseeable future.
The Momentum Indicator moved below the 0 level on October 22, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on DDOG as a result. In 62 of 79 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 78%.
The Moving Average Convergence Divergence Histogram (MACD) for DDOG turned negative on October 15, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 46 similar instances when the indicator turned negative. In 33 of the 46 cases the stock turned lower in the days that followed. This puts the odds of success at 72%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where DDOG declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 79%.
The Tickeron PE Growth Rating for this company is 18 (best 1 - 100 worst), pointing to outstanding earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
The Tickeron Seasonality Score of 30 (best 1 - 100 worst) indicates that the company is slightly undervalued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.
The Tickeron Price Growth Rating for this company is 36 (best 1 - 100 worst), indicating steady price growth. DDOG’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron Profit vs. Risk Rating rating for this company is 43 (best 1 - 100 worst), indicating well-balanced risk and returns. The average Profit vs. Risk Rating rating for the industry is 93, placing this stock slightly better than average.
The Tickeron SMR rating for this company is 84 (best 1 - 100 worst), indicating weak sales and an unprofitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
The Tickeron Valuation Rating of 100 (best 1 - 100 worst) indicates that the company is significantly overvalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (23.089) is normal, around the industry mean (-0.834). DDOG's P/E Ratio (561.640) is considerably higher than the industry average of (15.481). Projected Growth (PEG Ratio) (1.362) is also within normal values, averaging (2.824). Dividend Yield (0.000) settles around the average of (0.077) among similar stocks. P/S Ratio (21.368) is also within normal values, averaging (71.128).
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
a company, which engages in the development of monitoring and analytics platform for developers, information technology operations teams and business users
Industry PackagedSoftware