| Annual · values | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gross Margin | 53.48% | 53.06% | 49.67% | 48.13% | 60.01% | 57.08% | 48.60% | 38.03% | 28.14% | 20.72% | 13.61% | 29.27% |
| Operating Margin | -104.12% | -58.35% | -82.67% | -120.48% | -122.96% | -149.64% | -119.56% | -238.53% | -429.92% | -193.98% | -248.94% | -315.26% |
| EBITDA Margin | -91.83% | -49.38% | -73.38% | -113.61% | -117.97% | -142.66% | -114.60% | -229.62% | -406.36% | -180.94% | -238.17% | -301.28% |
| Net Margin | -91.37% | -63.21% | -83.14% | -116.79% | -86.82% | -178.17% | -87.17% | -238.19% | -396.06% | -165.04% | -226.19% | -633.92% |
| Current Ratio | 1.63 | 2.50 | 2.49 | 3.37 | 6.97 | 3.70 | 2.40 | 1.48 | 3.81 | 3.28 | 2.92 | 4.43 |
| Quick Ratio | 1.07 | 1.89 | 1.87 | 2.81 | 6.65 | 3.31 | 2.08 | 1.14 | 3.48 | 3.03 | 2.80 | 4.34 |
| Debt / Equity | — | — | — | — | 0.05 | 0.45 | 0.40 | 1.83 | 0.33 | 1.04 | — | — |
| ROE | -129.56% | -89.16% | -120.56% | -59.27% | -26.23% | -356.90% | -178.49% | -989.44% | -136.14% | -359.36% | -222.41% | -148.11% |
| ROA | -58.15% | -42.51% | -52.56% | -36.87% | -19.86% | -76.83% | -55.36% | -152.89% | -76.66% | -96.09% | -60.84% | -100.88% |
| Asset Turnover | 0.64 | 0.67 | 0.63 | 0.32 | 0.23 | 0.43 | 0.64 | 0.64 | 0.19 | 0.58 | 0.27 | 0.16 |
| Book Value / Share | 3.72 | 9.45 | 13.64 | 29.44 | 45.50 | 9.28 | 21.27 | 10.02 | 135.16 | 78.91 | 135.65 | 458.83 |
ChronoScale Corporation is a technology infrastructure company focused on providing high-performance computing resources for artificial intelligence workloads. Headquartered in the United States, ChronoScale operates GPU-based platforms designed for AI training, inference, and other data-intensive applications. Its services are oriented toward enterprises, AI developers, and organizations that require scalable, dedicated compute environments rather than shared, general-purpose cloud resources. The company’s infrastructure is engineered to support large-scale deployments, emphasizing performance consistency, low-latency connectivity, and efficient resource utilization. ChronoScale’s offerings are positioned for use cases such as generative AI models, machine learning pipelines, and high-performance computing tasks in industries including technology, research, and data analytics. By delivering specialized accelerated compute capacity, ChronoScale plays a role in enabling customers to run complex AI models and workloads that demand significant processing power and robust data center capabilities.