<\/p>\n
Datadog (DDOG) sells software that helps companies monitor the performance and security of cloud applications.<\/p>\n
Its tools track servers, applications, software logs, and other systems behind cloud and artificial intelligence products.<\/p>\n
Datadog reported second-quarter revenue of $1.12 billion, up 36% from a year earlier.<\/p>\n
Adjusted earnings reached 65 cents per share. Both revenue and adjusted earnings exceeded analysts\u2019 estimates.<\/p>\n
Datadog shares closed down 19.03% at $229.29 on Aug. 6 as investors weighed the earnings beat against the slower sequential growth implied by the company\u2019s third-quarter forecast.<\/p>\n
Investors also received a new disclosure about Datadog\u2019s largest customer.<\/p>\n
The company said the customer had reduced its usage, and Datadog included that reduction in its third-quarter and full-year forecasts.<\/p>\n
The unnamed customer is a leading AI company that recently signed a nine-figure renewal agreement and uses 17 Datadog products.<\/p>\n
Datadog did not disclose the customer\u2019s name, how much its usage declined, or what caused the reduction.<\/p>\n
Regarding our largest customer, we have seen a usage reduction which is incorporated in our Q3 and full year 2026 guidance.<\/p>\n
The renewal confirms that the customer plans to continue using Datadog.<\/p>\n
Part of Datadog\u2019s revenue still depends on how much monitoring service the customer actually consumes.<\/p>\n
A renewal does not fix all Datadog revenue at one amount<\/p>\n
Datadog sells subscriptions that allow customers to monitor cloud infrastructure, applications, security threats, and software performance.<\/p>\n
A customer\u2019s bill can depend partly on how much data or computing activity Datadog monitors.<\/p>\n
Datadog\u2019s annual report describes three main subscription arrangements:<\/p>\n
Revenue recognized evenly: The customer commits to an amount, and Datadog records the revenue evenly over the subscription term.Committed usage recognized as consumed: The customer commits to an amount, but Datadog records revenue as the service is used.Monthly usage: The customer pays according to the amount of service consumed during the month.<\/p>\n
Customers can also pay additional fees when their usage exceeds the amount covered by the subscription.<\/p>\n
A company can therefore renew a multi-year agreement but generate less near-term revenue if it monitors fewer servers, sends fewer software records, or consumes less capacity than Datadog expected.<\/p>\n
The nine-figure renewal protects the customer relationship, but it does not protect all revenue linked to actual consumption or usage above the contracted amount.<\/p>\n
Datadog did not reveal which billing arrangement applies to its largest customer.<\/p>\n
Investors therefore cannot determine how much of the contract is recognized evenly and how much depends on usage.<\/p>\n
Nikada / Getty Images<\/p>\n
Customers above $100,000 now generate 91% of ARR<\/p>\n
Datadog ended the second quarter with about 33,400 customers, an increase of only 200 from the first quarter.<\/p>\n
The number of customers producing at least $100,000 in annual recurring revenue increased by 170 during the same period.<\/p>\n
Datadog\u2019s customer mix33,400: Total customers, up from 33,200 in the first quarter.4,720: Customers producing at least $100,000 in annual recurring revenue, up from 4,550.91%: Portion of annual recurring revenue generated by those larger customers, up from 90%.Low-120%: Datadog\u2019s trailing 12-month net dollar-based retention rate.<\/p>\n
Annual recurring revenue, or ARR, measures the annualized value of subscriptions at a particular point in time.<\/p>\n
ARR includes contracted amounts and certain usage revenue, but it is not the same as revenue recognized under accounting rules.<\/p>\n
The net retention rate compares spending by the same group of customers with their spending one year earlier.<\/p>\n
A rate in the low-120% range means existing customers collectively increased their spending by slightly more than 20%, after reductions and cancellations.<\/p>\n
Related: Benchmark reboots its Datadog target as the AI super cycle builds<\/p>\n
The increase of 170 customers above the $100,000 threshold does not mean Datadog signed 170 new large customers.<\/p>\n
Some existing customers may have increased their spending enough to cross that threshold.<\/p>\n
Customers spending at least $100,000 now account for 91% of Datadog\u2019s recurring business, giving their usage decisions greater influence over the company\u2019s growth.<\/p>\n
Third-quarter guidance adds only $18.5 million from Q2<\/p>\n
Datadog expects third-quarter revenue of $1.135 billion to $1.145 billion.<\/p>\n
The midpoint of $1.14 billion would be about $18.5 million higher than second-quarter revenue of $1.121 billion.<\/p>\n
By comparison, second-quarter revenue increased by about $115 million from the first quarter.<\/p>\n
The third-quarter midpoint would represent approximately 1.7% sequential growth and 29% growth from a year earlier. These percentages are calculated from Datadog\u2019s reported second-quarter revenue and third-quarter guidance.<\/p>\n
Datadog also increased its full-year revenue forecast to $4.45 billion to $4.47 billion.<\/p>\n
The company\u2019s previous annual forecast was $4.30 billion to $4.34 billion.<\/p>\n
The new annual range is higher than Datadog\u2019s May forecast, but it remains below the $4.69 billion analyst consensus reported by The Wall Street Journal.<\/p>\n
Related: JPMorgan resets SpaceX price target after earnings<\/p>\n
The third-quarter range also indicates a much smaller increase from the immediately preceding quarter.<\/p>\n
Management said the $1.135 billion to $1.145 billion range already includes lower usage from the largest customer.<\/p>\n
Datadog has not disclosed how much ARR or recognized revenue comes from its largest customer.<\/p>\n
Third-quarter revenue will show whether growth from Datadog\u2019s other customers is sufficient to offset that reduction.<\/p>\n
More AI:<\/p>\n
Nvidia just made a move Wall Street wasn\u2019t ready forMicrosoft just took sides in AI policy fightOpenAI just disclosed something genuinely alarmingDatadog has not disclosed how much revenue is exposed<\/p>\n
Datadog has not provided four figures needed to calculate the direct financial effect:<\/p>\n
The customer\u2019s share of Datadog revenue;The amount by which usage declined;The products that experienced lower consumption;The portion of the renewed contract tied to actual usage.<\/p>\n
The company has previously warned that large AI customers can expand rapidly and then reduce or optimize their usage.<\/p>\n
Datadog\u2019s annual report says its AI-native customer group, including its largest customer, contributed about seven percentage points of year-over-year revenue growth in the fourth quarter of 2025.<\/p>\n
The filing also warns that AI-native customers may later optimize usage or renew on different terms.<\/p>\n
A customer can reduce monitoring consumption by running fewer workloads, lowering the amount of software data it sends, or replacing some third-party tools with internal systems.<\/p>\n
Datadog\u2019s total customer count increased by only 200 during the second quarter.<\/p>\n
Slower customer additions leave more of the company\u2019s growth dependent on existing customers increasing their usage and purchasing additional products.<\/p>\n
The low-120% net retention rate shows that existing customers as a group are still expanding.<\/p>\n
A decline in that rate would make reductions by large customers harder to offset.<\/p>\n
Datadog\u2019s next report will show whether third-quarter revenue remained within the $1.135 billion to $1.145 billion forecast after a full quarter of lower usage.<\/p>\n
Revenue below $1.135 billion would miss a range that already includes the reduction from Datadog\u2019s largest customer.<\/p>\n
Related: Jim Cramer sends strong signal to stock market investors<\/p>\n
#Datadogs #largest #customer #renews #deal #cuts #usage<\/p>\n","protected":false},"excerpt":{"rendered":"
Datadog (DDOG) sells software that helps companies monitor the performance and security of cloud applications….<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[259],"tags":[1671,842,18921,110,373,3754,11479],"_links":{"self":[{"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/posts\/13108"}],"collection":[{"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=13108"}],"version-history":[{"count":0,"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/posts\/13108\/revisions"}],"wp:attachment":[{"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13108"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13108"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}