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Upstart Holdings, Inc.

UPST:NASDAQ

Financial Services | Credit Services

Closing Price
US$39.25 (30 Jan 2026)
-0.05% (1 day)
Market Cap
US$3.8B
Analyst Consensus
Buy
8 Buy, 6 Hold, 2 Sell
Avg Price Target
US$56.64
Range: US$20 - US$80

Executive Summary

📊 The Bottom Line

Upstart is an AI-powered lending platform disrupting traditional credit assessment. It focuses on expanding into new loan products and achieving GAAP profitability, aiming for high growth while continuously improving its credit assessment models.

⚖️ Risk vs Reward

At current levels (US$39.25), analyst targets range from US$20.00 to US$80.00, averaging US$56.64, suggesting potential upside. However, its high P/E ratio compared to the US Consumer Finance industry indicates valuation risk.

🚀 Why UPST Could Soar

  • Upstart's proprietary AI model uses over 1,000 data points for more accurate credit risk assessment, leading to higher approval rates and lower default rates compared to traditional FICO scores.
  • Expansion into auto loans, home equity lines of credit (HELOCs), and small dollar loans significantly broadens its total addressable market and creates substantial new revenue streams.
  • Increasing confidence from capital partners, including large forward flow agreements and warehouse facilities, ensures stable funding for loan originations without excessive balance sheet risk.

⚠️ What Could Go Wrong

  • As a lending platform, Upstart is highly sensitive to macroeconomic conditions like interest rate fluctuations and credit cycles, which can impact loan volumes, default rates, and funding availability.
  • AI-driven lending faces increasing regulatory scrutiny regarding data privacy, bias, and transparency. Competition from established financial institutions investing in similar AI technologies also poses a threat.
  • Volatility in its loan book size and performance, coupled with negative free cash flow, creates risk. Difficulties in offloading held loans could tie up capital and lead to shareholder dilution.

🏢 Company Overview

💰 How UPST Makes Money

  • Upstart operates a cloud-based artificial intelligence (AI) lending platform in the United States, connecting consumers with banks and credit unions.
  • It assesses credit risk using over 1,000 non-traditional variables for personal loans, auto retail and refinance loans, home equity lines of credit (HELOCs), and small dollar loans.
  • Revenue is primarily generated from fees charged to lending partners for using its AI models and platform for loan originations and servicing.
  • A smaller portion of revenue comes from net interest income on loans held on its balance sheet.
  • The platform automates over 90% of loans, enhancing efficiency for its over 100 bank and credit union partners.

Revenue Breakdown

Fees

92%

Revenue generated from lending partners for using Upstart's AI platform and services.

Net Interest Income

8%

Income earned from interest on loans held or retained on the balance sheet.

🎯 WHY THIS MATTERS

Upstart's AI-driven model allows it to identify creditworthy borrowers often overlooked by traditional methods, potentially expanding access to credit and reducing default rates for its partners. This scalable platform and diversified product offerings are crucial for its long-term growth potential.

Competitive Advantage: What Makes UPST Special

1. Proprietary AI Underwriting Model

High10+ Years

Upstart's advanced AI model is its core competitive advantage, analyzing over 1,000 data points beyond traditional credit scores for superior risk assessment. This enables partner banks to approve more loans at lower rates with potentially less risk, disrupting conventional lending. The model continuously refines itself, creating a self-reinforcing competitive loop.

2. Extensive Lender Network & Referral System

Medium5-10 Years

Upstart has cultivated a robust network of over 100 banks and credit unions leveraging its platform. This network, coupled with its referral system, efficiently matches borrowers with lenders, driving transaction volume. The stickiness of these partnerships and integration into banking systems create a significant barrier to entry for new competitors.

3. Diversified Product Portfolio

Medium5-10 Years

Beyond personal loans, Upstart has successfully expanded into auto retail/refinance loans, home equity lines of credit (HELOCs), and small dollar loans. This diversification applies its core AI technology across a broader total addressable market, mitigating reliance on a single product segment and creating multiple avenues for sustained revenue growth.

🎯 WHY THIS MATTERS

These advantages collectively create a powerful network effect for Upstart: enhanced AI leads to more successful loan outcomes, which attracts additional lenders and borrowers. This virtuous cycle provides more data to further refine the AI, solidifying its position in the evolving lending market.

👔 Who's Running The Show

David J. Girouard

Co-Founder, President, CEO & Chairperson of the Board

David J. Girouard, 59, is the Co-Founder, President, CEO, and Chairperson of Upstart. He leads the company's mission to transform credit using AI. Under his leadership, Upstart has expanded its AI-driven lending platform across various loan products, aiming for sustained growth and GAAP profitability by leveraging non-traditional data for credit assessment.

⚔️ What's The Competition

The AI lending market is characterized by rapid technological innovation and intense competition. Upstart navigates a landscape including traditional financial institutions integrating AI, and other specialized fintech lenders. Competition primarily revolves around the accuracy and efficiency of credit models, the seamlessness of the user experience, and access to consistent, low-cost funding.

📊 Market Context

  • Total Addressable Market - The global AI platform lending market was valued at US$74.90 billion in 2024 and is projected to reach US$259.37 billion by 2030, growing at a CAGR of 23.00%.
  • Key Trend - Increased adoption of AI and machine learning for enhanced credit risk assessment, fraud detection, and personalized loan offerings across financial services.

Competitor

Description

vs UPST

Affirm Holdings, Inc. (AFRM)

A market leader in buy-now, pay-later (BNPL) services, offering both zero-interest and interest-bearing installment loans for retail purchases.

Affirm primarily focuses on point-of-sale financing for retail, whereas Upstart provides a broader AI-driven platform for various loan types through its bank partners.

SoFi Technologies, Inc. (SOFI)

A diversified fintech company offering student loan refinancing, personal loans, mortgages, banking, and investment services directly to consumers.

SoFi provides a comprehensive suite of financial services directly to consumers, while Upstart primarily functions as an AI lending platform enabling other financial institutions.

Traditional Banks (e.g., JPMorgan Chase)

Large, established financial institutions with extensive customer bases, significant capital, and a full spectrum of traditional lending products.

These incumbents compete with their own lending products and are increasingly developing internal AI capabilities, leveraging existing customer trust and vast resources.

📊 Valuation & Analysis

📈 Wall Street Summary

Analyst Rating Distribution - 2 Sell, 6 Hold, 5 Buy, 3 Strong Buy

2

6

5

3

12-Month Price Target Range

Low Target

US$20

-49%

Average Target

US$57

+44%

High Target

US$80

+104%

Closing: US$39.25 (30 Jan 2026)

🚀 The Bull Case - Upside to US$80

1. AI Model Superiority Driving Efficiency

High Probability

Upstart's continuously improving AI models can better identify creditworthy borrowers, reducing default rates and enhancing loan conversion rates (e.g., 23.9% in Q2 2025 vs. 15.2% in Q2 2024). This technological edge allows partners to offer competitive rates and expand lending responsibly, leading to increased transaction volume and higher fee revenue.

2. Successful Diversification into New Loan Categories

Medium Probability

Significant growth in auto and HELOC originations (e.g., up 60% sequentially in Q4 2024) expands Upstart's total addressable market and revenue streams. As these newer products gain traction, they are expected to become substantial drivers for overall revenue growth, reducing reliance on personal loans.

3. Strengthening Funding Markets & Partner Confidence

High Probability

Increased confidence from capital markets, evidenced by significant funding commitments and successful securitization transactions (e.g., US$1.5 billion forward flow agreement in Nov 2025). This ensures a stable and sufficient supply of capital for loan originations, allowing Upstart to scale its platform without bearing excessive balance sheet risk, boosting profitability.

🐻 The Bear Case - Downside to US$20

1. Sensitivity to Macroeconomic Headwinds

High Probability

Economic downturns, higher interest rates, or increasing unemployment could lead to reduced loan demand, tighter lending standards, and higher default rates. This directly impacts Upstart's transaction volumes, fee revenue, and potentially the performance of loans held on its balance sheet, resulting in volatile earnings.

2. Regulatory & Competitive Pressures in AI Lending

Medium Probability

Evolving regulations around AI in finance could impose compliance burdens or restrict data usage, potentially impacting model effectiveness or increasing operational costs. Furthermore, large banks developing proprietary AI solutions could intensify competition and reduce the need for Upstart's platform.

3. Persistent Loan Book Risk and Funding Volatility

Medium Probability

Despite efforts to offload loans, Upstart's balance sheet has seen an expanded loan book (e.g., up 52.5% from beginning of 2025 to Q3 2025). If market conditions make it difficult to sell these loans or if they underperform, it could tie up capital, increase credit risk, and lead to negative free cash flow, potentially necessitating equity financing and dilution.

🔮 Final thought: Is this a long term relationship?

Owning Upstart for a decade hinges on the enduring superiority of its AI underwriting model over traditional methods and its ability to continually expand its market presence. The strength of its lender network and successful diversification into new loan categories are critical for long-term durability. Key risks include intense competition from incumbent financial institutions and the unpredictable nature of credit cycles. Management's capacity to navigate regulatory changes and maintain strong funding partnerships will be paramount for sustained profitability.

📋 Appendix

Financial Performance

Metric

31 Dec 2024

31 Dec 2023

31 Dec 2022

Income Statement

Revenue

US$0.63B

US$0.51B

US$0.84B

Gross Profit

US$0.00B

US$0.00B

US$0.00B

Operating Income

US$0.00B

US$0.00B

US$0.00B

Net Income

US$-0.13B

US$-0.24B

US$-0.11B

EPS (Diluted)

-1.44

-2.87

-1.31

Balance Sheet

Cash & Equivalents

US$0.79B

US$0.38B

US$0.43B

Total Assets

US$2.37B

US$2.02B

US$1.94B

Total Debt

US$1.45B

US$1.10B

US$1.09B

Shareholders' Equity

US$0.63B

US$0.64B

US$0.67B

Key Ratios

Gross Margin

0.0%

0.0%

0.0%

Operating Margin

0.0%

0.0%

0.0%

Return on Equity

-20.31

-37.80

-16.16

Analyst Estimates

Metric

Annual (31 Dec 2025)

Annual (31 Dec 2026)

EPS Estimate

US$1.67

US$2.39

EPS Growth

+935.9%

+43.2%

Revenue Estimate

US$1.0B

US$1.3B

Revenue Growth

+62.8%

+22.7%

Number of Analysts

14

15

Valuation Ratios

MetricValueDescription
P/E Ratio (TTM)157.00Indicates how many times investors are willing to pay for each dollar of earnings over the past twelve months.
Forward P/E16.39Estimates how many times investors are willing to pay for each dollar of anticipated future earnings.
Price/Sales (TTM)3.83Compares a company's market capitalization to its revenue over the past twelve months, often used for companies with inconsistent earnings.
Price/Book (MRQ)5.13Measures how much investors are willing to pay for each dollar of a company's book value (assets minus liabilities), indicating valuation relative to net assets.
EV/EBITDA72.20Compares the enterprise value of a company to its earnings before interest, taxes, depreciation, and amortization, often used for valuing capital-intensive businesses.
Return on Equity (TTM)4.81Measures the net income generated for each dollar of shareholders' equity over the past twelve months, indicating profitability relative to equity.
Operating Margin11.35Represents the percentage of revenue remaining after paying for operating expenses, indicating a company's operational efficiency and profitability.
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