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Cerence(CRNC) - 2024 Q4 - Earnings Call Transcript

Financial Data and Key Metrics - Q4 2024 revenue was 54.8million,exceedingthehighendguidanceof54.8 million, exceeding the high-end guidance of 50 million, driven by 5millioninlicenseroyaltytrueupsfromtwoOEMcustomers[20]AdjustedEBITDAlossof5 million in license royalty true-ups from two OEM customers [20] - Adjusted EBITDA loss of 1.9 million, significantly better than the guidance of a 13millionloss,duetohigherthanexpectedrevenueand13 million loss, due to higher-than-expected revenue and 6 million in cost savings from restructuring [22] - Full-year 2024 revenue was 331.5million,withadjustedEBITDAof331.5 million, with adjusted EBITDA of 80.6 million, but excluding legacy revenue, adjusted EBITDA would have been negative 6million[25]FreecashflowforQ4was6 million [25] - Free cash flow for Q4 was 4.7 million, and the company ended the quarter with 130.4millionincashandmarketablesecurities[24][25]BusinessLinePerformanceVariablelicenserevenuewas130.4 million in cash and marketable securities [24][25] Business Line Performance - Variable license revenue was 25.3 million, down 17% YoY, but up from Q3 [31] - Connected Services revenue (excluding legacy) was 12.1million,up1212.1 million, up 12% YoY [31] - Professional Services revenue declined 6% YoY, with further reductions expected in fiscal 2025 [31][30] - Pro forma royalties were 42.2 million, flat YoY, with fixed license consumption totaling 16.9million,up916.9 million, up 9% YoY [33] Market and Competitive Landscape - The company shipped 10.6 million cars with Cerence technology in Q4, down 14% YoY, while global auto production declined 5% [35] - The penetration rate of global auto production for the trailing 12 months declined slightly to 52%, primarily due to weaker production volumes among top customers [34] - The company secured 28 design wins in fiscal 2024, including 10 customer wins and six program launches for generative AI solutions with automakers like Volkswagen, Renault, and BMW [9][10] Strategic Direction and Industry Competition - The company is focusing on integrating generative AI and large language models (LLMs) into its product portfolio to enhance in-car voice interaction [8][9] - Cerence launched CaLLM Edge, the first LLM running on automotive Edge, in collaboration with Microsoft, enabling advanced voice interaction even without connectivity [11][12] - The company aims to streamline operations and reduce costs, targeting 35 million to 40millioninnetsavings,with40 million in net savings, with 16.3 million in one-time restructuring costs [26][28] Management Commentary on Operating Environment and Outlook - The company issued fiscal 2025 revenue guidance of 236millionto236 million to 247 million, with adjusted EBITDA of 15millionto15 million to 26 million and free cash flow of 20millionto20 million to 30 million [16] - Management expects a return to profitability in fiscal 2025, driven by cost reductions and strong market positioning [16][18] - The company plans to transition from broad cost-cutting to simplifying and streamlining its organization to improve speed to market [17] Other Key Information - The company has 87.5millioninconvertiblenotesdueinJune2025andisexploringrefinancingoptionstostrengthenitsbalancesheet[43][44]Grossmarginsforfiscal2025areexpectedtobeintherangeof6787.5 million in convertible notes due in June 2025 and is exploring refinancing options to strengthen its balance sheet [43][44] - Gross margins for fiscal 2025 are expected to be in the range of 67% to 69%, driven by a shift toward higher-margin connected services and licenses [42] Q&A Session Summary Question: AI-related deal margins and pricing uplift - Management noted that generative AI solutions command higher unit economics, with improved margins compared to the rest of the portfolio [10][51] - While specific pricing details were not disclosed, the company highlighted strong demand and interest from customers for AI-driven products [51][52] Question: Connected Services growth and competitive position - Connected Services revenue grew 12% YoY in Q4, excluding legacy revenue, and is expected to continue growing in fiscal 2025 [56][57] - The company emphasized its strong product customization capabilities and deep automotive expertise as key differentiators in the competitive landscape [59][60] Question: Historical growth challenges and future priorities - Management attributed past growth challenges to a focus on bookings rather than product differentiation and speed to market [63] - Priorities for fiscal 2025 include execution, cost reduction, and advancing generative AI products, with potential expansion into non-automotive markets [78][80] Question: Professional Services revenue trends - Professional Services revenue was down 6% YoY, with a 5 million to $7 million headwind expected in fiscal 2025 due to reduced focus on low-potential projects [30][85] - The company noted that Professional Services revenue can be lumpy quarter-to-quarter, depending on project demand [86][87] Question: License average PPU and AI product pipeline - License average PPU increased due to higher-value components in the license mix, with generative AI rollouts contributing to the uplift [91][94] - The company plans to seamlessly transition customers between AI product generations, with backward compatibility ensuring no slowdown in AI-related launches [101][103]