| Annual · values | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Operating Cash Flow | -11.80 M USD | -9.85 M USD | -12.05 M USD | -14.69 M USD | -11.16 M USD | -8.76 M USD | -15.77 M USD | -22.16 M USD | -31.23 M USD | -25.00 M USD | -18.27 M USD | -15.01 M USD |
| Depreciation & Amortization | 1.57 M USD | 1.61 M USD | 1.70 M USD | 887000 USD | 561000 USD | 620000 USD | 690000 USD | 1.01 M USD | 1.73 M USD | 1.85 M USD | 933000 USD | 745000 USD |
| Stock-Based Compensation | 1.47 M USD | 1.37 M USD | 1.86 M USD | 2.55 M USD | 2.33 M USD | 2.41 M USD | 2.25 M USD | 2.87 M USD | 2.41 M USD | 3.12 M USD | 1.73 M USD | 1.14 M USD |
| Capital Expenditures | 188000 USD | 37000 USD | 157000 USD | 194000 USD | 59000 USD | 0 USD | 60000 USD | 131000 USD | 456000 USD | 1.10 M USD | 1.49 M USD | 1.49 M USD |
| Cash Flow from Investing | -188000 USD | -37000 USD | -157000 USD | -5.17 M USD | -59000 USD | 0 USD | -60000 USD | -131000 USD | -456000 USD | -1.10 M USD | -1.49 M USD | -1.49 M USD |
| Cash Flow from Financing | 6.63 M USD | 7.77 M USD | 348000 USD | 0 USD | 38.71 M USD | 10.70 M USD | 19.04 M USD | 2.27 M USD | 42.57 M USD | 23.31 M USD | 14.12 M USD | 40.88 M USD |
| Dividends Paid | — | — | — | — | — | — | — | — | — | — | — | — |
| Stock Buybacks | — | — | — | — | — | — | — | — | — | — | — | — |
| Free Cash Flow | -11.99 M USD | -9.88 M USD | -12.21 M USD | -14.88 M USD | -11.21 M USD | -8.76 M USD | -15.83 M USD | -22.30 M USD | -31.68 M USD | -26.09 M USD | -19.76 M USD | -16.49 M USD |
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.