MicroCloud Hologram forecasts return to profitability in 2025

Published 27/10/2025, 13:18
MicroCloud Hologram forecasts return to profitability in 2025

SHENZHEN - MicroCloud Hologram Inc. (NASDAQ:HOLO) announced Monday it expects to achieve profitability in 2025, projecting net income to exceed RMB 350 million compared to a net loss of approximately RMB 63 million in 2024. The company, currently trading at a P/E ratio of 0.38, has demonstrated strong revenue growth of 37% over the last twelve months, with revenues reaching $44.8 million.

The holographic technology company reported it currently holds more than RMB 3 billion in cash, cash equivalents, and short-term investments. According to the company’s statement, it plans to invest over US$400 million from its cash reserves into quantum computing, blockchain, and quantum holography technologies. InvestingPro analysis shows the company maintains a strong financial position with a current ratio of 36.26 and more cash than debt on its balance sheet.

MicroCloud Hologram provides various holographic technology services including holographic light detection and ranging solutions, point cloud algorithm architecture design, and holographic vehicle intelligent vision technology. The company also offers holographic digital twin technology services and maintains proprietary digital twin technology resource libraries. With a gross profit margin of 24.2% and return on assets of 15.9%, the company shows promising operational efficiency. Discover 12 more exclusive insights about HOLO on InvestingPro.

The anticipated financial turnaround is expected to further strengthen the company’s cash position throughout 2025, according to the press release statement.

MicroCloud Hologram is headquartered in Shenzhen, China, and trades on the Nasdaq under the ticker HOLO.

In other recent news, MicroCloud Hologram Inc. announced a breakthrough in quantum computing applications for machine learning. The company has developed a Quantum Convolutional Neural Network (QCNN) that achieves accuracy comparable to classical neural networks in multi-class classification tasks on the MNIST dataset. This innovation utilizes a hybrid quantum-classical learning framework to enhance computational efficiency. Additionally, MicroCloud Hologram has improved its quantum Grover algorithm, enabling dynamic multi-mode search capabilities on reconfigurable hardware. This advancement allows simulation of up to 22 qubits on a single FPGA platform, with potential scalability to 32 qubits. The company has also outlined a three-pronged strategy to achieve near-term computational advantages in quantum computing by optimizing algorithms and implementing error control techniques. Furthermore, MicroCloud Hologram has unveiled a universal quantum computing method that eliminates dependency on specific dimensional quantum variables. This new approach employs an auxiliary-mediated mechanism, facilitating gate operations on isolated quantum memory registers without interfering with core quantum states. These developments mark significant progress in the company’s quantum computing strategy.

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