Why Is Everyone Talking About Upstart Stock? | UPST Stock Deep Dive Part 3

SUMMARY

Parkev Tatevosian, CFA, analyzes Upstart's latest quarterly financial update, focusing on the company's reaffirmed 2026 outlook, revenue growth, and evolving use of artificial intelligence. The discussion addresses the implications of increased costs, improvements in AI-driven loan servicing, and the resulting adjustments to Upstart's risk and valuation profile.

MAIN POINTS

• Upstart reported 61% year-over-year growth in originations and 44% revenue growth, but a marginal decline in profit. [0:30]
• Management attributed higher costs to the first quarter and expects slower cost growth in future quarters, while maintaining full-year guidance. [1:30]
• Upstart enhanced its AI models to better estimate post-default recoveries, improving risk assessment and enabling more originations at equivalent risk. [2:30]
• The company doubled its AI-assisted borrower conversation volume, highlighting AI's role in reducing servicing costs and improving customer satisfaction. [3:30]
• Following the quarterly results, the risk factor in Upstart's valuation model was increased, but higher future free cash flow estimates were also adopted. [5:00]
• Despite increased risk, the buy rating for Upstart was reiterated due to the company's significant upside potential. [6:02]

DETAILED ANALYSIS

Upstart's most recent quarterly update revealed a notable divergence between revenue growth and profitability. While the company achieved a 61% year-over-year increase in loan originations and a 44% rise in revenue, profit declined marginally, surprising investors who typically expect expanding profits alongside such strong top-line growth. The management team clarified that the elevated costs were largely confined to the first quarter and projected that cost growth would moderate in subsequent periods, allowing the company to maintain its full-year guidance for both revenue and profit.

A significant development in Upstart's operations was the enhancement of its artificial intelligence models, which now more accurately estimate recoveries after borrower defaults. This improvement allows for a more nuanced understanding of potential losses, factoring in partial repayments and the timing of defaults. As a result, Upstart was able to increase originations by approximately 3.5% at equivalent risk levels, suggesting a growing advantage over traditional credit scoring methods, which often rely on more labor-intensive processes.

However, the assertion that Upstart has a definitive lead over conventional models remains subject to further validation, as the cost efficiencies from automation are a key component of its competitive position.

In addition to underwriting, Upstart has expanded the application of AI to customer service, doubling the volume of AI-assisted borrower conversations in the latest quarter. This move addresses a common pain point in financial services, where customer satisfaction scores are typically low, especially among large institutions. By leveraging AI, Upstart aims to reduce servicing costs and improve the overall customer experience, reinforcing its technology-driven approach.

In response to the mixed results, the valuation model for Upstart was updated to reflect a higher risk profile, increasing the weighted average cost of capital. At the same time, projections for free cash flow from 2027 onward were raised, balancing the increased risk with improved long-term earnings potential. The overall assessment resulted in a reiterated buy rating, with the risk-reward profile deemed attractive for investors willing to accept short-term volatility in exchange for potential upside.

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