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BILL Holdings (BILL) Fair Value & Analysis

Technology · US · Market cap $3.6B

Price$32.29
Fair Value$10.78
Upside-66.6%
Quality95/100
Evidence: High Range $7.54 – $14.43

Analysis

BILL Holdings (BILL) currently trades at $32.29, while our model-based Fair Value estimate is $10.78 — implying the stock looks roughly 66.6% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

BILL Holdings, Inc. provides financial operations platform for small and midsize businesses worldwide. It provides software-as-a-service, cloud-based payments, and spend management products, which allow users to automate accounts payable and accounts receivable transactions, as well as enable businesses to connect with their suppliers and/or customers to do business, eliminate expense reports, manage cash flows, and improve back-office efficiency. The company also offers onboarding implementation support, and ongoing support and training services. In addition, the company's artificial intelligence enabled financial software platform provides connections between suppliers and clients. It serves accounting firms, financial institutions, and software provider companies. The company was formerly known as Bill.com Holdings, Inc. and changed its name to BILL Holdings, Inc. in February 2023. BILL Holdings, Inc. was incorporated in 2006 and is headquartered in San Jose, California.

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How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.