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GDEV vs ZSQR Comparison
Compare GDEV & ZSQR Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Company Overview
Basic Information| Metric | GDEV | ZSQR |
|---|---|---|
| Founded | 2009 | 2022 |
| Country | Cyprus | United States |
| Employees | N/A | N/A |
| Industry | EDP Services | Finance: Consumer Services |
| Sector | Technology | Finance |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 197.3M | 204.6M |
| IPO Year | 2021 | 2020 |
Fundamental Metrics
Financial Performance| Metric | GDEV | ZSQR |
|---|---|---|
| Price | $11.41 | $5.76 |
| Analyst Decision | | |
| Analyst Count | 0 | 0 |
| Target Price | N/A | N/A |
| AVG Volume (30 Days) | 1.0K | ★ 452.1K |
| Earning Date | 11-23-2026 | 11-20-2026 |
| Dividend Yield | N/A | N/A |
| EPS Growth | N/A | ★ 50.27 |
| EPS | ★ N/A | N/A |
| Revenue | N/A | ★ $1,363,045.00 |
| Revenue This Year | $7.58 | N/A |
| Revenue Next Year | $6.90 | N/A |
| P/E Ratio | $5.19 | ★ N/A |
| Revenue Growth | N/A | N/A |
| 52 Week Low | $10.00 | $2.11 |
| 52 Week High | $30.92 | $16.62 |
Technical Indicators
Market Signals| Indicator | GDEV | ZSQR |
|---|---|---|
| Relative Strength Index (RSI) | 50.80 | 73.67 |
| Support Level | $10.92 | $4.32 |
| Resistance Level | $12.13 | N/A |
| Average True Range (ATR) | 0.54 | 0.64 |
| MACD | 0.05 | 0.26 |
| Stochastic Oscillator | 70.05 | 96.64 |
Price Performance
Historical ComparisonAbout GDEV GDEV Inc.
GDEV Inc is a gaming and entertainment holding company that oversees a portfolio of studios focused on developing and publishing live-service games across a range of platforms and genres. Its portfolio includes studios specializing in mobile, browser, and PC games, as well as captivating IPs spanning various genres.
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.