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MicroCloud Hologram (HOLO) Stock Price, News & Analysis

HOLO NASDAQ
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Price Move History

Daily moves over 5%
52 252 sessions, November 3, 2025 to November 3, 2026
Largest daily move
+14.1% close of May 28, 2026
1-year change
-69.3% closing prices, November 3, 2025 to November 3, 2026
1-month change
-19.2% closing prices, October 2, 2026 to November 3, 2026

Company Description

MicroCloud Hologram Inc. (NASDAQ: HOLO) is a technology service provider focused on the research, development, and application of holographic technology, with an expanding emphasis on quantum computing, quantum holography, and related frontier technologies. According to the company, its goal is to become a global leading quantum holography and quantum computing technology company, supported by significant cash reserves denominated in RMB and a planned multi-hundred-million USD investment program in emerging technology fields.

Core Holographic Technology Services

MicroCloud Hologram states that its business is rooted in holographic technology services. These services include:

  • Holographic light detection and ranging (LiDAR) solutions based on holographic technology
  • Holographic LiDAR point cloud algorithm architecture design
  • Technical holographic imaging solutions
  • Holographic LiDAR sensor chip design
  • Holographic vehicle intelligent vision technology for customers offering holographic advanced driving assistance systems (ADAS)

The company indicates that it provides these holographic technology services to global customers, positioning its offerings for applications such as vehicle intelligent vision and holographic ADAS.

Holographic Digital Twin Technology and Resource Libraries

MicroCloud Hologram also provides holographic digital twin technology services and reports that it owns proprietary holographic digital twin technology resource libraries. These libraries are described as using a combination of:

  • Holographic digital twin software
  • Digital content
  • Space data-driven data science
  • Holographic digital cloud algorithms
  • Holographic 3D capture technology

According to the company, this combination is used to capture shapes and objects in 3D holographic form, supporting its broader holographic and digital twin service offerings.

Quantum Computing and Quantum Holography Focus

MicroCloud Hologram highlights a strategic focus on quantum computing and quantum holography. The company reports that it is concentrating resources on developments such as:

  • Quantum computing technology development
  • Quantum holography technology development
  • Blockchain development
  • Derivatives and technology development in frontier technology fields such as artificial intelligence AR

The company states that it has cash reserves exceeding a specified RMB amount and plans to invest more than a specified USD amount from these reserves into these areas. This capital allocation is presented as part of its roadmap toward quantum holography and quantum computing.

Quantum Algorithm and Simulation Technologies

Recent company announcements describe multiple technical achievements in quantum-related software and hardware simulation:

  • Multi-FPGA Quantum Fourier Transform (QFT) Simulation Platform: MicroCloud Hologram reports launching a scalable QFT simulator technology based on multiple FPGAs and high-bandwidth memory. The platform uses a parallel distributed architecture, storing large-scale complex amplitudes of quantum states in high-bandwidth memory and implementing QFT with components such as distributed Hadamard transformations, controlled phase-shift gates, and bit-reversal data paths.
  • FPGA Quantum Computing Simulation Framework: The company has announced a serial-parallel architecture-based FPGA quantum computing simulation framework. It describes this framework as using an innovative hardware-level data path design to reduce resource utilization, with validation on core quantum algorithms such as Quantum Fourier Transform and Grover Search, and providing hardware templates for quantum state read/write, gate execution, complex-number arithmetic, and data path management.

These disclosures emphasize the company’s interest in quantum algorithm simulation and hardware acceleration using FPGA-based architectures.

Quantum Machine Learning and Graph Neural Networks

MicroCloud Hologram has described several developments at the intersection of quantum computing and machine learning:

  • Learnable quantum spectral filter technology for hybrid graph neural networks: The company reports a quantum-classical hybrid GNN architecture that maps the graph Laplacian operator to a trainable quantum circuit, aiming to achieve exponential compression capability for graph signal processing and to unify graph convolution and pooling operations within a quantum computing process.
  • Quantum convolutional neural network (QCNN) multi-class classification: The company has announced a multi-class classification method based on QCNN using hybrid quantum-classical learning, implemented on the TensorFlow Quantum platform and applied to selected samples from the MNIST dataset. It describes a quantum perceptron model, parameterized rotation gates, and a training process that combines quantum circuits with classical optimizers.

According to the company, these efforts are intended to demonstrate the potential of quantum circuits in complex structure learning and to provide a technical path for quantum machine learning.

Quantum-Enhanced 3D Modeling and Reconstruction

MicroCloud Hologram has disclosed multiple systems that integrate quantum computing with 3D modeling and image processing:

  • Quantum-enhanced deep convolutional neural network 3D reconstruction technology system: The company describes a system with modules for quantum-optimized dataset preparation, quantum-assisted feature extraction, quantum-enhanced parameter generation, quantum-accelerated 3D reconstruction, quantum-precision model evaluation, and an interactive application interface.
  • Quantum-driven 3D intelligent model: The company reports a 3D modeling and processing system that uses quantum deep learning technology to analyze data, extract features, and automatically generate 3D models and related outputs. It describes subsystems for quantum-enhanced data acquisition, quantum-accelerated model training, quantum intelligent autonomous generation, quantum secure data management, quantum-empowered data visualization, and quantum-fortified system security.

These disclosures present quantum-enhanced 3D modeling and reconstruction as part of the company’s broader holographic and digital content capabilities.

Quantum-Enabled Big Data Real-Time Computing

MicroCloud Hologram has also announced a quantum-empowered big data real-time computing system. The company states that this system integrates quantum technology into data processing workflows, using quantum sensing, quantum error correction coding, a quantum-enhanced real-time computing engine, a quantum algorithm library, quantum visualization tools, and a distributed quantum fault-tolerant architecture. It describes a five-module collaborative architecture that forms a closed loop from data preprocessing to value output.

Theoretical Quantum Research and Quantum Time

Beyond applied systems, the company has publicized research on quantum synchronization and quantum time. It reports introducing a "quantum degree" concept for measuring synchronized quantum properties in quantum systems and exploring time as a quantum operator within quantum spacetime frameworks, including the use of Positive Operator-Valued Measures (POVM) and discussions of quantum evolution as a branching process. These descriptions position the company’s work as engaging with theoretical aspects of quantum information and quantum system evolution.

Regulatory Filings and Reporting

MicroCloud Hologram files reports with the U.S. Securities and Exchange Commission as a foreign private issuer. A Form 6-K filed for a specified month states that the company furnished unaudited interim consolidated financial statements for a six-month period and related management’s discussion and analysis, and that these materials are incorporated by reference into certain registration statements. This indicates that HOLO provides periodic financial reporting under the Exchange Act framework applicable to foreign issuers.

Business Context and Industry Classification

Based on available classification data, MicroCloud Hologram operates in the Software Publishers industry within the Information sector. Its public communications describe a combination of holographic technology services, holographic LiDAR and imaging solutions, holographic digital twin technology, quantum algorithm and simulation frameworks, quantum machine learning architectures, quantum-enhanced 3D modeling systems, and quantum-enabled big data processing platforms.

Evergreen Considerations

The information above is drawn from company descriptions in press releases and regulatory filings. It reflects how MicroCloud Hologram characterizes its technology focus, service offerings, and research directions, without relying on time-sensitive financial metrics or executive-specific details.

Stock Performance

$1.26
+0.00%
+0.00
Last updated: November 4, 2026 at 13:31
-69.3%
Performance 1 year
$28.9M

MicroCloud Hologram (HOLO) closed at $1.26 on November 3, 2026. Over the past 12 months, the price has lost 69.3%.

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HOLO Metrics & Rankings

Price returns through November 3, 2026. Month and year figures include the first trading day. Ranking links may use different dates.

Latest News

MicroCloud Hologram has 10 recent news articles. Of the recent coverage, 9 articles coincided with positive price movement and 1 with negative movement. Key topics include crypto, acquisition, AI. View all HOLO news →

SEC Filings

MicroCloud Hologram has filed 6 recent SEC filings, including 4 Form 6-K, 1 Form 3, 1 Form 20-F. The most recent filing was submitted on . SEC filings provide transparency into a company's financial condition, material events, and regulatory compliance. View all HOLO SEC filings →

Financial Highlights

MicroCloud Hologram generated $57.4M in revenue in FY2025, retaining a 21.3% gross margin, operating income reached $371K (0.7% operating margin), and net income was -$7.1M, reflecting a -12.4% net profit margin. Diluted earnings per share stood at -$0.57. The company generated $8.0M in operating cash flow. The current ratio was 33.54, measuring current assets divided by current liabilities.

$57.4M
Revenue (FY2025)
-$7.1M
Net Income (FY2025)
$8.0M
Operating Cash Flow

Upcoming Events

No upcoming events scheduled for HOLO.

Short Interest History

Last 12 Months

Short interest in MicroCloud Hologram (HOLO) currently stands at 872.8 thousand shares, down 1.4% from the previous reporting period, representing 3.9% of the float. Since November 2025, short interest has decreased by 44.2%.

Days to Cover History

Last 12 Months

Days to cover for MicroCloud Hologram (HOLO) currently stands at 3.9 days, up 5.4% from the previous period. The ratio is the reported short interest divided by the average daily trading volume. Since November 2025, the figure has increased by 119.2%. Across the settlements charted above, it has ranged from 1.0 to 5.2 days.

HOLO Company Profile & Sector Positioning

MicroCloud Hologram (HOLO) operates in the Software - Application industry within the broader Technology sector and is listed on the NASDAQ.

Investors comparing HOLO often look at related companies in the same sector, including Blaize Holdings, Inc. (BZAI), VirTra, Inc. (VTSI), Creative Realities, Inc. (CREX), BeLive Holdings (BLIV), and Future FinTech Group Inc. (FTFT). Comparing financial metrics, valuation ratios, and stock performance across these peers can help investors evaluate HOLO's relative position within its industry.

Frequently Asked Questions

The current stock price of MicroCloud Hologram (HOLO) is $1.26 as of November 4, 2026.

The market cap of MicroCloud Hologram (HOLO) is approximately $28.9M. Learn more about what market capitalization means .

The FY2025 revenue of MicroCloud Hologram (HOLO) is $57.4M, from its most recent completed fiscal year.

The FY2025 net income of MicroCloud Hologram (HOLO) is -$7.1M, from its most recent completed fiscal year.

The diluted earnings per share (EPS) of MicroCloud Hologram (HOLO) is -$0.57 for FY2025, its most recent completed fiscal year. Learn more about EPS .

The operating cash flow of MicroCloud Hologram (HOLO) is $8.0M for FY2025, its most recent completed fiscal year. Learn about cash flow.

The net profit margin of MicroCloud Hologram (HOLO) is -12.4% for FY2025, its most recent completed fiscal year. Learn about profit margins.

The operating profit margin of MicroCloud Hologram (HOLO) is 0.7% for FY2025, its most recent completed fiscal year. Learn about operating margins.

The gross profit margin of MicroCloud Hologram (HOLO) is 21.3% for FY2025, its most recent completed fiscal year. Learn about gross margins.

The current ratio of MicroCloud Hologram (HOLO), current assets divided by current liabilities, was 33.54 at the end of FY2025, its most recent completed fiscal year. Learn about liquidity ratios.

The gross profit of MicroCloud Hologram (HOLO) is $12.2M for FY2025, its most recent completed fiscal year.

The operating income of MicroCloud Hologram (HOLO) is $371K for FY2025, its most recent completed fiscal year. Learn about operating income.

MicroCloud Hologram Inc. is a technology service provider focused on the research, development, and application of holographic technology. The company describes its activities as including holographic LiDAR solutions, holographic imaging and sensor chip design, vehicle intelligent vision technology for holographic ADAS, holographic digital twin technology services, and proprietary holographic digital twin resource libraries, along with a growing focus on quantum computing and quantum holography.

According to available classification data, MicroCloud Hologram Inc. operates in the Software Publishers industry within the Information sector. Its public materials describe a mix of holographic technology services, software-driven digital twin platforms, and quantum computing related technologies.

The company states that its holographic technology services include holographic light detection and ranging (LiDAR) solutions based on holographic technology, holographic LiDAR point cloud algorithm architecture design, technical holographic imaging solutions, holographic LiDAR sensor chip design, and holographic vehicle intelligent vision technology. These services are described as supporting customers that offer holographic advanced driving assistance systems (ADAS).

MicroCloud Hologram reports that it provides holographic digital twin technology services and owns proprietary holographic digital twin technology resource libraries. These libraries use holographic digital twin software, digital content, space data-driven data science, holographic digital cloud algorithms, and holographic 3D capture technology to capture shapes and objects in 3D holographic form.

The company’s disclosures describe multiple quantum-related initiatives, including FPGA-based quantum computing simulation frameworks, a multi-FPGA Quantum Fourier Transform simulator, quantum spectral filters for hybrid graph neural networks, quantum convolutional neural network multi-class classification methods, quantum-enhanced 3D reconstruction systems, a quantum-driven 3D intelligent model, and a quantum-empowered big data real-time computing system. It also states that it focuses on quantum computing technology development and quantum holography.

MicroCloud Hologram states that it has cash reserves exceeding a specified RMB amount and plans to invest more than a specified USD amount from these reserves in blockchain development, quantum computing technology development, quantum holography technology development, and derivatives and technology development in frontier technology fields such as artificial intelligence AR.

MicroCloud Hologram has described several quantum machine learning technologies, including a learnable quantum spectral filter for hybrid graph neural networks that maps the graph Laplacian operator to a trainable quantum circuit, and a multi-class classification method based on quantum convolutional neural networks using hybrid quantum-classical learning. These are presented as steps toward practical quantum graph machine learning and quantum-enhanced classification.

Yes. In addition to applied systems, the company has publicized research on quantum synchronization and quantum time, including the introduction of a "quantum degree" concept for synchronized quantum properties and models that treat time as a quantum operator within quantum spacetime. These efforts are described as part of its work on deep-level problems in quantum technology.

MicroCloud Hologram files reports with the U.S. Securities and Exchange Commission as a foreign private issuer. For example, a Form 6-K filed for a particular month states that the company furnished unaudited interim consolidated financial statements for a six-month period and related management’s discussion and analysis, and that these materials are incorporated by reference into specified registration statements.