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RERE vs ZSQR Comparison
Compare RERE & ZSQR Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Company Overview
Basic Information| Metric | RERE | ZSQR |
|---|---|---|
| Founded | 2011 | N/A |
| Country | China | United States |
| Employees | N/A | N/A |
| Industry | Other Specialty Stores | Finance: Consumer Services |
| Sector | Consumer Discretionary | Finance |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 855.0M | 697.4M |
| IPO Year | 2021 | 2020 |
Fundamental Metrics
Financial Performance| Metric | RERE | ZSQR |
|---|---|---|
| Price | $4.02 | $9.86 |
| Analyst Decision | | |
| Analyst Count | 0 | 0 |
| Target Price | N/A | N/A |
| AVG Volume (30 Days) | 999.5K | ★ 1.1M |
| Earning Date | 05-19-2026 | N/A |
| Dividend Yield | ★ 2.27% | N/A |
| EPS Growth | N/A | N/A |
| EPS | N/A | N/A |
| Revenue | N/A | N/A |
| Revenue This Year | $25.70 | N/A |
| Revenue Next Year | $22.93 | N/A |
| P/E Ratio | $34.57 | ★ N/A |
| Revenue Growth | N/A | N/A |
| 52 Week Low | $3.07 | $9.89 |
| 52 Week High | $6.47 | $16.62 |
Technical Indicators
Market Signals| Indicator | RERE | ZSQR |
|---|---|---|
| Relative Strength Index (RSI) | 46.02 | 23.10 |
| Support Level | $3.96 | N/A |
| Resistance Level | $4.37 | N/A |
| Average True Range (ATR) | 0.18 | 1.78 |
| MACD | 0.04 | -0.37 |
| Stochastic Oscillator | 73.12 | 4.36 |
Price Performance
Historical ComparisonAbout RERE ATRenew Inc.
ATRenew Inc is a pre-owned consumer electronics transactions and services platform in China. The majority of its revenue is derived from online product sales of phones and other consumer electronics goods through its platforms PJT Marketplace and Paipai Marketplace. The Company's principal operations and geographic markets are in the People's Republic of China.
About ZSQR Z Squared Inc. Common Stock
Z Squared Inc is a computing infrastructure company operating computing equipment and expanding into AI infrastructure. The Company's idea is to build on three principles: guide with power by acquiring operating sites where power is already flowing; build for AI workloads by converting that capacity into AI-ready colocation where the customer brings the compute and runs what it needs; and scale with discipline by deploying conversion capital site by site, against signed contracts and operational readiness.