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One Stop Systems(OSS) - 2023 Q4 - Earnings Call Transcript

Financial Data and Key Metrics - Consolidated revenue decreased by 11.5millionor15.911.5 million or 15.9% from 72.4 million to 60.9million,primarilyduetoa60.9 million, primarily due to a 13.7 million decrease in media revenue [7] - OSS revenue decreased by 14.5millionor33.414.5 million or 33.4%, while Bressner revenue increased by 2.9 million or 10.1% [7] - Consolidated gross profit in Q4 decreased by 544,000to544,000 to 4.4 million, with gross margins improving to 33.7% from 27.3% [3] - OSS gross margin improved by 14.5 percentage points to 45.9%, while Bressner's gross margin improved by 1.6 percentage points to 22.2% [3] - Net loss on a GAAP basis was 278,000or278,000 or 0.01 per share, compared to a net loss of 3.3millionor3.3 million or 0.16 per share in the same period in 2022 [5] - Adjusted EBITDA, a non-GAAP metric, was 353,000,adecreasefrom353,000, a decrease from 1.6 million in the prior year [6] Business Line Performance - OSS contributed 28.8millionor4728.8 million or 47% of total revenue, while Bressner contributed 32.1 million or 53% [7] - OSS experienced a significant decrease in media revenue, offset by higher-margin rugged edge processing products [3] - Bressner improved both margins and profitability despite a challenging economy in Germany and Europe [23] Market Performance - OSS revenue was fairly evenly balanced between commercial and defense applications in 2023 [7] - The company expects revenue of approximately 12.5millioninQ12024,representinga512.5 million in Q1 2024, representing a 5% sequential decrease from Q4 2023 and a 25% year-over-year decrease [13] Company Strategy and Industry Competition - The company is transitioning away from lower-margin media revenue and focusing on higher-margin AI transportable products [22] - OSS is leveraging its expertise in high-performance ruggedized edge processing, compute, storage, and connectivity systems, while Bressner operates as a systems integrator in Europe [24] - The company is pursuing opportunities in both commercial and military segments, focusing on AI-centered high-performance computing at the edge [42][44] Management Commentary on Operating Environment and Future Outlook - Management highlighted the impact of U.S. Government continuing resolutions on revenue, particularly in the defense market [1] - The company expects increased spending in autonomy, artificial intelligence, and machine learning in the defense sector [48] - Management is optimistic about the growing pipeline of opportunities and the potential for long-term value creation [19][46] Other Important Information - The company has a five-year unfactored pipeline exceeding 1 billion, reflecting growth in both commercial and defense markets for AI and ML solutions [69] - Recent wins include a multi-million-dollar program with Leidos' Dynetics and a contract with the U.S. Army Ground Vehicle Systems Center [49][50] - The company has added new talent to its management team and Board of Directors to support its growth strategy [16][17] Q&A Session Summary Question: Gross margins in Q4 and outlook for 2024 - Gross margins in Q4 were heavily weighted towards AI transportable products, particularly in the defense industry, with higher-margin data storage units contributing significantly [34] - The company expects gross margins to continue growing, with a target of 30% to 40%, driven by the shift away from lower-margin media revenue [100] Question: Sales cycles and growth expectations in the defense market - The company expects growth to pick up in the second half of 2024, driven by pipeline conversion and defense market opportunities [38][76] - The defense market has long sales cycles, but the company is leveraging its high technology readiness level products to compete effectively [88] Question: Inventory levels and working capital - The company has significant inventory due to past commitments but expects to free up $2 million in working capital this year by selling down inventory [84][110] Question: Impact of NVIDIA's new Blackwell chip on product design - The company can move from product availability to shipping within a year, leveraging its engineering capabilities to work with customers on GPU lead times [102][117] Question: Pipeline conversion and qualification process - The company uses a two-probability model to assess opportunities, focusing on the likelihood of an opportunity emerging and the probability of winning [108] - The company is actively engaging with customers to convert its growing pipeline into multi-year, multi-million-dollar orders [109]