$3.950
+0.061 (+1.54%)At close
- High
- 4.000
- Open
- 3.850
- VWAP
- 3.93
- Vol
- 1.38M
- Mkt Cap
- —
- Low
- 3.830
- Amount
- 5.41M
- EV/EBITDA, TTM
- -2.58
Neighborhood Intelligence, Inc., formerly Bed Bath & Beyond, Inc., is an e-commerce-focused retailer with an affinity model that owns or has ownership interests in various retail brands. It is building an Everything Home company through an integrated platform across omnichannel retail, home services, and products and services. Its brands include Bed Bath & Beyond, buybuy BABY, Overstock, and Kirkland's. It also invests in and operates differentiated blockchain and data infrastructure, including tZERO and GrainChain, which enhance transparency, efficiency, and liquidity across financial services, supply chains, and real-world assets. Together, its retail brands, digital platforms, financial and protection services, and technology investments form a connected system designed to advocate for consumers. Through its Bed Bath & Beyond brand, it provides home-related products. Through its Overstock brand, it provides an array of goods at discounted prices. It owns the Tokens.com domain.
AI analysis of NXH (NXH)
sellNeighborhood Intelligence, Inc. is not a good buy right now due to its significant financial losses and declining stock performance. The current price is 3.93, and the forward P/E ratio is 12.92, indicating potential future profitability but overshadowed by current losses. The net income for Q2 2026 is -39,497,000, which raises concerns about the company's financial health.
Valuation Metrics
NXH FAQ — answered by Alphio AI
Neighborhood Intelligence, Inc. is not a good buy right now due to its significant financial losses and declining stock performance. The current price is 3.93, and the forward P/E ratio is 12.92, indicating potential future profitability but overshadowed by current losses. The net income for Q2 2026 is -39,497,000, which raises concerns about the company's financial health.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.