{"id":979989,"date":"2026-07-09T00:04:11","date_gmt":"2026-07-09T04:04:11","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/pitchbooks-vc-exit-predictor-now-forecasts-when-companies-will-exit\/"},"modified":"2026-07-09T00:04:11","modified_gmt":"2026-07-09T04:04:11","slug":"pitchbooks-vc-exit-predictor-now-forecasts-when-companies-will-exit","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/pitchbooks-vc-exit-predictor-now-forecasts-when-companies-will-exit\/","title":{"rendered":"PitchBook\u2019s VC Exit Predictor Now Forecasts When Companies Will Exit"},"content":{"rendered":"<p>        <!--.bwalignc { text-align: center; list-style-position: inside }\n.bwlistdisc { list-style-type: disc }body {font:normal small Arial,Helvetica,sans-serif;color:#000;background-color:#fff;padding:24px;margin:0;} a img {border:0;} h3 {font-size:medium;color:#000;margin:0 0 1em 0; text-align:center;}-->  <\/p>\n<p class=\"bwalignc\"><b>PitchBook\u2019s VC Exit Predictor Now Forecasts When Companies Will Exit<\/b><\/p>\n<p class=\"bwalignc\"><i>The new Time to Exit tool uses machine learning to predict the likelihood that a VC-backed company will exit within one, three, or five years<\/i><\/p>\n<p>SEATTLE&#8211;(<a href=\"http:\/\/www.businesswire.com\">BUSINESS WIRE<\/a>)&#8211;<a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fpitchbook.com%2F&amp;esheet=54567540&amp;newsitemid=20260708382165&amp;lan=en-US&amp;anchor=PitchBook&amp;index=1&amp;md5=1ae48e620afce4b199b2c28793f26bcc\">PitchBook<\/a>, the leading private capital market intelligence platform, today announced the launch of Time to Exit, a new predictive tool within its VC Exit Predictor that forecasts when a venture-backed company is likely to exit. Powered by machine learning, Time to Exit estimates the probability of a successful exit within one, three, or five years, bringing timing intelligence to a question that has long relied on manual modeling or instinct. The tool arrives as venture exits rebound from a prolonged drought \u2014 IPOs are returning and M&amp;A is picking up \u2014 but the recovery is uneven, making the question of <i>when<\/i> more consequential than ever. Timing shapes nearly every decision in venture capital, from how general partners size portfolio reserves to how limited partners evaluate fund performance and plan for liquidity, yet existing tools could signal whether and how a company might exit while offering little insight into when.<\/p>\n<p>\n&#8220;For venture investors, knowing whether a company will exit has always been only half the question \u2014 the harder part is knowing when,&#8221; said Andrew Akers, Associate Director, Quantitative Research at PitchBook. &#8220;Exit timing has become one of the most pressing questions across the industry, shaping everything from fund returns to how LPs plan for liquidity. Time to Exit brings real data to a decision that has long relied on instinct, giving investors a more consistent way to anticipate when an exit is likely.&#8221;<\/p>\n<p>\nTime to Exit is the newest addition to PitchBook&#8217;s <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fpitchbook.com%2Fmedia%2Fpress-releases%2Fpitchbook-predicts-vc-backed-exits&amp;esheet=54567540&amp;newsitemid=20260708382165&amp;lan=en-US&amp;anchor=VC+Exit+Predictor&amp;index=2&amp;md5=a371b3d9b6bdfbc2a1c6da86e8a63777\">VC Exit Predictor<\/a>, which launched in 2023. The tool already estimates whether a company will exit and how \u2014 through a public listing or an acquisition. Now it also forecasts when. These estimates update daily as a company&#8217;s profile evolves, incorporating market conditions, employee data, fundraising pace, and time since last funding round, among other factors.<\/p>\n<p>\nAvailable within Market Analysis on the PitchBook Platform, the combined analysis supports workflows across the private capital lifecycle:<\/p>\n<ul class=\"bwlistdisc\">\n<li><b>Deal sourcing:<\/b> Screen for companies by likely to exit timing and outcome, and prioritize those closest to a near-term liquidity event.\n<\/li>\n<li><b>Portfolio monitoring:<\/b> Track how a company&#8217;s exit probability and expected timing shift quarter over quarter to inform follow-on and reserve decisions.\n<\/li>\n<li><b>LP reporting:<\/b> Replace informal projections with model-driven estimates of when capital is likely to be returned.\n<\/li>\n<li><b>Benchmarking:<\/b> Compare exit profiles \u2014 likelihood, path, and timing \u2014 across companies, sectors, and geographies.\n<\/li>\n<\/ul>\n<p>\n&#8220;Private markets continue to experience extended holding periods where investment cycles are stretching, and LPs have more infrequent liquidity events,&#8221; said Nizar Tarhuni, Executive Vice President of Research and Market Intelligence. &#8220;With Time to Exit, both allocators and GPs have a tool to help them better anticipate and model their expected liquidity outcomes. This offers a signal that touches every consequential decision in the fund lifecycle, providing data-backed predictions where the industry has historically relied on assumption.\u201d<\/p>\n<p>\nTime to Exit joins a growing body of proprietary, machine learning\u2013driven research from PitchBook&#8217;s quantitative research team. Following the launch of <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fpitchbook.com%2Fmedia%2Fpress-releases%2Fpitchbook-introduces-the-first-daily-valuation-model-for-vc-backed-companies&amp;esheet=54567540&amp;newsitemid=20260708382165&amp;lan=en-US&amp;anchor=PitchBook+Valuation+Estimates&amp;index=3&amp;md5=64819dfe27a3ced56dddc39d4de57428\">PitchBook Valuation Estimates<\/a> earlier this year, the team continues to turn PitchBook&#8217;s private market data into forward-looking signals that help investors price, time, and manage their investments with greater confidence. Together with generative AI experiences like <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fpitchbook.com%2Fmedia%2Fpress-releases%2Fpitchbook-launches-new-generative-ai-experiences-with-the-introduction-of-pitchbook-navigator-and-upcoming-integration-with-openai&amp;esheet=54567540&amp;newsitemid=20260708382165&amp;lan=en-US&amp;anchor=PitchBook+Navigator&amp;index=4&amp;md5=54a03d72d64a707f7b4ccf730bc10e4c\">PitchBook Navigator<\/a>, these tools reinforce PitchBook&#8217;s position as a trusted, independent authority on private market intelligence.<\/p>\n<p>\nTo learn more about PitchBook\u2019s VC Exit Predictor, click <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fpitchbook.com%2Fhelp%2Funderstanding-vc-exit-predictor%3Futm_medium%3Dpress%26utm_source%3Dpress%26utm_campaign%3Ddemand_gen%26utm_content%3Dproduct_time_to_exit%26utm_term%3D&amp;esheet=54567540&amp;newsitemid=20260708382165&amp;lan=en-US&amp;anchor=here&amp;index=5&amp;md5=a287f04dab3facacfeec1ce880bc5429\">here<\/a>.<\/p>\n<p><b>About PitchBook, a Morningstar company<\/b><\/p>\n<p>\nAs the pulse of private capital markets, PitchBook delivers trusted, real-time data, research, and technology to help investors, dealmakers, and innovators make decisions with confidence. Its products provide comprehensive information on companies, investors, funds, deals, and people, along with tools that help professionals analyze market activity and make informed decisions. Founded in 2007, PitchBook today serves more than 100,000 clients worldwide and is recognized as the leading source of private capital market intelligence. PitchBook has grown to over 3,000 employees across offices in Seattle, San Francisco, New York, London, Singapore, Mumbai, and other global locations. Since 2016, PitchBook has operated as a subsidiary of Morningstar, Inc.<\/p>\n<p>\nFor more information, visit <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.pitchbook.com&amp;esheet=54567540&amp;newsitemid=20260708382165&amp;lan=en-US&amp;anchor=www.pitchbook.com&amp;index=6&amp;md5=8845bcad4500fc72764226b24ac774d4\">www.pitchbook.com<\/a>.<\/p>\n<p><img decoding=\"async\" alt=\"\" src=\"https:\/\/cts.businesswire.com\/ct\/CT?id=bwnews&amp;sty=20260708382165r1&amp;sid=flmnd&amp;distro=nx&amp;lang=en\" style=\"width:0;height:0\" \/><span class=\"bwct31415\" \/><\/p>\n<p id=\"mmgallerylink\"><span id=\"mmgallerylink-phrase\">View source version on businesswire.com: <\/span><span id=\"mmgallerylink-link\"><a href=\"https:\/\/www.businesswire.com\/news\/home\/20260708382165\/en\/\" rel=\"nofollow\">https:\/\/www.businesswire.com\/news\/home\/20260708382165\/en\/<\/a><\/span><\/p>\n<p><a rel=\"nofollow\" href=\"mailto:PR@pitchbook.com\">PR@pitchbook.com<\/a><\/p>\n<p><b>KEYWORDS:<\/b> United States North America Washington<\/p>\n<p><b>INDUSTRY KEYWORDS:<\/b> Professional Services Data Management Data Analytics Technology Software Finance Consulting<\/p>\n<p><b>MEDIA:<\/b><\/p>\n<table cellpadding=\"3\" cellspacing=\"3\">\n<tr>\n<td><font face=\"Arial\" size=\"2\"><b>Logo<\/b><\/font><\/td>\n<\/tr>\n<tr>\n<td><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20260708382165\/en\/2626133\/3\/2025_PitchBook_a_Morningstar_company_logo.jpg\" alt=\"Logo\" \/><\/td>\n<\/tr>\n<tr>\n<td><font face=\"Arial\" size=\"2\"><\/font><\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>PitchBook\u2019s VC Exit Predictor Now Forecasts When Companies Will Exit The new Time to Exit tool uses machine learning to predict the likelihood that a VC-backed company will exit within one, three, or five years SEATTLE&#8211;(BUSINESS WIRE)&#8211;PitchBook, the leading private capital market intelligence platform, today announced the launch of Time to Exit, a new predictive tool within its VC Exit Predictor that forecasts when a venture-backed company is likely to exit. Powered by machine learning, Time to Exit estimates the probability of a successful exit within one, three, or five years, bringing timing intelligence to a question that has long relied on manual modeling or instinct. The tool arrives as venture exits rebound from a prolonged drought \u2014 IPOs are &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.marketnewsdesk.com\/index.php\/pitchbooks-vc-exit-predictor-now-forecasts-when-companies-will-exit\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;PitchBook\u2019s VC Exit Predictor Now Forecasts When Companies Will Exit&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-979989","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>PitchBook\u2019s VC Exit Predictor Now Forecasts When Companies Will Exit - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/pitchbooks-vc-exit-predictor-now-forecasts-when-companies-will-exit\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PitchBook\u2019s VC Exit Predictor Now Forecasts When Companies Will Exit - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"PitchBook\u2019s VC Exit Predictor Now Forecasts When Companies Will Exit The new Time to Exit tool uses machine learning to predict the likelihood that a VC-backed company will exit within one, three, or five years SEATTLE&#8211;(BUSINESS WIRE)&#8211;PitchBook, the leading private capital market intelligence platform, today announced the launch of Time to Exit, a new predictive tool within its VC Exit Predictor that forecasts when a venture-backed company is likely to exit. Powered by machine learning, Time to Exit estimates the probability of a successful exit within one, three, or five years, bringing timing intelligence to a question that has long relied on manual modeling or instinct. 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Powered by machine learning, Time to Exit estimates the probability of a successful exit within one, three, or five years, bringing timing intelligence to a question that has long relied on manual modeling or instinct. 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