
LaunchDarkly Stock
| Valuation | $3B1, 2 |
| Valuation Date | Aug 10, 2021 |
| Implied Valuation | n/a |
| Last Price | $3.40 |
| 52-Week High | $6.43 |
| 52-Week Low | $3.24 |
| YTD Return | -46.96% |
| 1-Year Return | -36.45% |
| 3-Year Return | -73.31% |
| Total Funding | $330.04M3 |
| Latest Round Amount | $200M1 |
| Latest Round | Series D |
| Funding Rounds | 6 |
| IPO Status | Unknown |
| Expected IPO Date | n/a |
| Revenue | n/a |
| Revenue Type | n/a |
| P/S Ratio | n/a |
About LaunchDarkly
LaunchDarkly is a software company that sells a feature management platform used by development teams to control how new code is released. Its feature flags let engineers turn features on or off for specific users, roll out changes gradually and roll them back instantly when something breaks. The platform has expanded into experimentation, release observability and AgentControl, a product for monitoring and controlling AI agents in production. LaunchDarkly makes money by selling subscriptions to its platform and serves more than 5,500 customers, including about a quarter of the Fortune 500.
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News
LaunchDarkly is now native on the Vercel Marketplace
LaunchDarkly launched a native Vercel Marketplace integration in August 2026, letting teams install feature flags from Vercel and evaluate targeting in Functions and Middleware without network calls b...
LaunchDarkly is now available on the Vercel Marketplace
LaunchDarkly launched a native Vercel Marketplace integration so developers can install feature flags, run experiments, and manage rollouts directly from Vercel projects.
LaunchDarkly tops $200 million ARR as AI demand grows
LaunchDarkly appointed Andy Pemberton as chief revenue officer to lead global sales, solution engineering, and customer success as the company scales past $200 million in ARR.
LaunchDarkly surpasses $200 million in ARR as demand for runtime control accelerates
LaunchDarkly reported surpassing $200 million in annual recurring revenue, growing more than 25% year over year, as enterprises invest in runtime control for AI-powered software delivery.
Why LaunchDarkly is Standardizing on New Relic
LaunchDarkly said it is moving its primary observability and telemetry workloads to New Relic and deepening integration between the two platforms.
LaunchDarkly launches runtime control layer for the agentic AI era
LaunchDarkly unveiled AgentControl, a platform for real-time management of AI agents in production, extending its feature-flag infrastructure to prompts, models, and tools.
LaunchDarkly adds real-time controls for AI agents in production
AgentControl lets teams change agent behavior at runtime without redeploying applications, with guarded rollouts and trace-level monitoring.
LaunchDarkly Launches AgentControl for Runtime AI Agent Management
LaunchDarkly introduced AgentControl, a platform to configure, evaluate, observe, and control AI agents in production without redeploying code.
Introducing AgentControl
LaunchDarkly announced AgentControl as an operational layer for managing agents in production on its flag delivery infrastructure.
LaunchDarkly Expands Leadership Team in Response to Accelerated Growth and AI Tailwinds
LaunchDarkly named Cameron Etezadi as CTO and Robert O'Donovan as CFO, and brought back Jonathan Nolen as SVP of Product as the company scales its AI-ready software delivery platform.
LaunchDarkly Expands Leadership Team in Response to Accelerated Growth and AI Tailwinds
LaunchDarkly appointed a new CTO and CFO and brought back its SVP of Product as the company said it was approaching $200 million in annual recurring revenue.
LaunchDarkly Co-Founder Edith Harbaugh Returns as Chief Executive Officer
LaunchDarkly announced that co-founder Edith Harbaugh has returned as CEO, with Marcus Holm promoted to president, as the feature-management company targets its next growth phase.
LaunchDarkly Acquires Highlight to Expand Guarded Releases
LaunchDarkly acquired Highlight to integrate observability tools including error monitoring, logging, traces, and session replay into its guarded releases platform.

