Truist Remains Bullish on Snowflake Inc. (SNOW)
Key takeaways
- (NYSE:SNOW) also received a rating update from Scotiabank on June 8, with the firm lifting the price target on the stock to $320 from $285 while reiterating an Outperform rating on the shares.
- (NYSE:SNOW) provides cloud data warehousing software and offers Data Cloud, an ecosystem that allows customers, data providers, partners, and data consumers to break down data silos and derive value from data.
- While we acknowledge the potential of SNOW as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk.
Truist Remains Bullish on Snowflake Inc. (SNOW) Noor Ul Ain Rehman Mon, June 22, 2026 at 7:08 PM GMT+7 2 min read SNOW TFC Snowflake Inc. (NYSE:SNOW) is one of the best AI software stocks to buy according to hedge funds. Truist lifted the price target on Snowflake Inc. (NYSE:SNOW) to $300 from $275 on June 4 and reiterated a Buy rating on the shares, telling investors in a research note that following discussions at the Snowflake Summit 2026, customer and partner feedback suggest that the company’s CoCo tools are accelerating workload creation, migrations, and platform expansion. This is driving increased usage, while also bolstering Snowflake Inc.’s (NYSE:SNOW) role as a governance, connectivity, and orchestration layer for enterprise AI. The firm added that this is also supporting expectations for improved productivity, operating leverage, and long-term AI-driven growth.
Snowflake Inc. (NYSE:SNOW) also received a rating update from Scotiabank on June 8, with the firm lifting the price target on the stock to $320 from $285 while reiterating an Outperform rating on the shares. It told investors that the firm left the Summit 2026 with confidence that the company is benefiting from enterprise AI adoption.
Snowflake Inc. (NYSE:SNOW) provides cloud data warehousing software and offers Data Cloud, an ecosystem that allows customers, data providers, partners, and data consumers to break down data silos and derive value from data. The company’s platform supports a range of use cases, including data lakes, data warehousing, data engineering, data application development, data science, and data sharing.