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WIMI Overview

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Intellectia

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High
1.885
Open
1.630
VWAP
1.77
Vol
198.43K
Mkt Cap
23.41M
Low
1.600
Amount
350.89K
EV/EBITDA(TTM)
--
Total Shares
12.86M
EV
-254.97M
EV/OCF(TTM)
-3.08
P/S(TTM)
0.25
WiMi Hologram Cloud Inc is a holding company principally engaged in the provision of augmented reality (AR)-based holographic services and products. The Company mainly operates through three segments. The AR Advertising Services segment is mainly engaged in the provision of online holographic AR advertising solution to embed holographic AR ads into films and shows that are hosted by online streaming platforms. The AR Entertainment segment is mainly engaged in the provision of payment middleware software, game distribution platform and holographic Mixed Reality (MR) software. The Semiconductor Related Products and Services segment is mainly engaged in the provision of central processing algorithm services and computer chip products to enterprise customers and the sales of comprehensive solutions for central processing algorithms and related services with software and hardware integration.
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Events Timeline

(ET)
2026-02-06
08:40:00
WiMi Hologram Cloud Releases Hybrid Quantum-Classical Neural Network Technology
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2025-10-23 (ET)
2025-10-23
08:15:39
WiMi Hologram Cloud reveals plans to investigate SHQCNN model
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2025-10-20 (ET)
2025-10-20
08:14:10
WiMi Hologram Cloud Advances Technology for Single-Qubit Quantum Neural Networks
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2025-08-07 (ET)
2025-08-07
10:05:08
WiMi Hologram Cloud reports cash, cash equivalents reach $455M
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2025-04-23 (ET)
2025-04-23
08:10:33
WiMi Hologram Cloud develops QFNN algorithm
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2025-04-22 (ET)
2025-04-22
09:10:31
WiMi Hologram Cloud reports FY24 revenue RMB 541.9M vs. RMB 585.4M last year
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News

PRnewswire
3.5
02-18PRnewswire
WiMi Unveils Hybrid Quantum-Classical Neural Network Innovation
  • Technological Innovation: WiMi has proposed a hybrid quantum-classical Inception neural network model that integrates quantum computing with classical deep learning, achieving triple improvements in performance, efficiency, and robustness, marking a significant breakthrough in image classification.
  • Multi-Path Feature Extraction: The model employs three parallel feature extraction paths—quantum, classical, and hybrid—capable of capturing complex texture variations and subtle patterns, excelling particularly in scenarios with small data scales and subtle category differences.
  • Enhanced Training Efficiency: By incorporating lightweight convolutional networks and multi-dimensional Hilbert space quantum circuits, the model significantly improves training feasibility and scalability while maintaining high expressive power, addressing training difficulties associated with pure quantum networks.
  • Future Development Direction: WiMi's hybrid quantum-classical Inception network represents not just a structural innovation but also indicates that quantum computing will gradually become a foundational capability of deep learning, with ongoing exploration into more complex quantum feature encoding methods and deployment strategies for real quantum hardware.
Newsfilter
3.5
02-06Newsfilter
WiMi Unveils Efficient H-QNN Technology for MNIST Classification
  • Technological Innovation: WiMi's Hybrid Quantum-Classical Neural Network (H-QNN) technology achieves significant accuracy improvements in MNIST handwritten digit classification, marking a shift from theoretical exploration to practical application in quantum machine learning, thereby enhancing the company's core competitiveness in quantum intelligent algorithm research.
  • Performance Advantages: H-QNN demonstrates significantly higher classification accuracy than traditional Multi-Layer Perceptron (MLP) models under the same training epochs and sample sizes, indicating that the introduction of quantum feature space effectively enhances the model's sensitivity and discrimination ability to high-dimensional features, reducing overfitting phenomena.
  • Computational Efficiency Gains: Thanks to the parallelism of quantum circuits, H-QNN reduces computation time by approximately 30% compared to traditional deep networks in simulation environments, with the potential for further speed improvements as quantum hardware matures, especially when handling large-scale image datasets.
  • Broad Application Prospects: H-QNN is not limited to MNIST classification but can be extended to handwriting recognition, medical image analysis, and other computer vision tasks, showcasing the new learning solutions offered by quantum-enhanced neural network frameworks for enterprise-level AI applications.
Newsfilter
3.5
01-15Newsfilter
WiMi Hologram Cloud Unveils Quantum Hybrid Neural Network to Enhance Image Classification Efficiency
  • Technological Innovation: WiMi's Lean Classical-Quantum Hybrid Neural Network (LCQHNN) framework achieves performance comparable to deep quantum circuits with only a four-layer variational quantum circuit, significantly reducing resource consumption and error accumulation risks in quantum hardware.
  • Data Processing Optimization: The system utilizes lightweight convolutional layers for preliminary feature extraction, mapping high-dimensional classical features into quantum state space, forming nonlinear projections in multi-dimensional quantum Hilbert space, effectively capturing the essence of complex data distributions.
  • Training Efficiency Improvement: WiMi employs an improved gradient estimation method that significantly reduces the number of quantum measurements required for each parameter update, enhancing overall training speed and stability, thus advancing quantum machine learning technology towards practical applications.
  • Future Development Directions: WiMi plans to extend LCQHNN to multimodal learning scenarios, explore collaborative integration with quantum support vector machines and quantum convolutional networks, and promote the secure, efficient, and distributed construction of quantum intelligent systems.
Globenewswire
3.5
01-02Globenewswire
WiMi Unveils Quantum-Enhanced Deep Learning Technology QB-Net
  • Technological Breakthrough: WiMi's QB-Net technology integrates lightweight quantum computing modules into the classical U-Net architecture, reducing bottleneck layer parameters by up to 30 times while maintaining performance comparable to classical U-Net, significantly enhancing the efficiency and application potential of deep learning models.
  • Quantum Module Advantage: This technology leverages quantum states to express high-dimensional information, theoretically achieving the same mapping capabilities as traditional networks with fewer quantum bits, thereby reducing model complexity and promoting deep integration of quantum computing and deep learning.
  • Structural Optimization: The design of QB-Net allows for direct embedding into existing models without altering the U-Net architecture, achieving true “plug-and-play” quantum enhancement, which improves the performance and flexibility of enterprise-level intelligent systems.
  • Industry Impact: This innovation from WiMi not only demonstrates the real value of quantum computing but also provides a new structural optimization paradigm for the global AI industry, indicating that hybrid quantum-classical architectures will become a mainstream form of AI in the future.
Yahoo Finance
3.5
01-02Yahoo Finance
WiMi Unveils Quantum-Enhanced Deep Learning Technology QB-Net
  • Technological Breakthrough: WiMi's QB-Net technology achieves a significant advancement in quantum AI by embedding lightweight quantum computing modules into the classical U-Net architecture, reducing bottleneck layer parameters by up to 30 times while maintaining performance comparable to classical U-Net.
  • Enhanced Parameter Efficiency: This technology significantly lowers the parameter requirements of traditional convolutional bottleneck layers, which typically require hundreds of thousands of parameters, through a quantum feature compression-transformation-reconstruction module, thereby improving model training efficiency and structural stability.
  • Industry Impact: The launch of QB-Net not only demonstrates the deep integration potential of quantum computing and deep learning but also provides a new performance enhancement path for enterprise-level intelligent systems, potentially transforming the structural optimization paradigm of the global AI industry.
  • Future Outlook: WiMi's quantum-enhanced deep learning framework is poised to become one of the mainstream forms of AI, indicating that the value of quantum computing in the AI field is being progressively realized, driving the industry towards higher-dimensional information expression capabilities.
PRnewswire
3.5
2025-12-22PRnewswire
WiMi Launches Hybrid Quantum Neural Network, Enhancing Image Classification Accuracy
  • Technological Innovation: WiMi's launch of the Hybrid Quantum Neural Network (H-QNN) integrates classical convolutional neural networks with quantum neural networks, achieving stronger generalization and computational efficiency in multi-class classification tasks, marking a significant step toward practical applications in quantum artificial intelligence research.
  • Enhanced Classification Accuracy: This technology demonstrates superior classification accuracy and stability compared to similar algorithms in actual experiments, systematically optimizing the quantum-classical hybrid learning system and laying a solid technical foundation for quantum intelligent vision systems.
  • Training Strategy Optimization: The transfer learning mechanism and parameter sharing structure introduced by WiMi effectively mitigate risks of gradient vanishing and overfitting in multi-class classification training, significantly improving model convergence speed on new tasks and reducing training epochs.
  • Heterogeneous Computing Architecture: The system runs classical computations on CPU/GPU platforms while executing quantum components on FPGA, significantly enhancing overall training speed and demonstrating performance advantages that exceed pure CPU or GPU simulations in experiments.

Valuation Metrics

The current forward P/E ratio for WiMi Hologram Cloud Inc (WIMI.O) is 0.00, compared to its 5-year average forward P/E of 11.60. For a more detailed relative valuation and DCF analysis to assess WiMi Hologram Cloud Inc's fair value, Click here.

Forward PE

The forward P/E ratio is a valuation metric that divides a company's current stock price by its estimated future earnings per share over the next 12 months.
StronglyUndervaluedUndervaluedFairOvervaluedStronglyOvervalueddotted line Image
N/A
5Y Average PE
11.60
Current PE
0.00
Overvalued PE
30.19
Undervalued PE
-7.00

Forward EV/EBITDA

The forward EV/EBITDA ratio is a valuation metric that divides a company's enterprise value (EV) by its estimated future earnings before interest, taxes, depreciation, and amortization (EBITDA) over the next 12 months.
StronglyUndervaluedUndervaluedFairOvervaluedStronglyOvervalueddotted line Image
N/A
5Y Average EV/EBITDA
7.21
Current EV/EBITDA
-2.86
Overvalued EV/EBITDA
20.62
Undervalued EV/EBITDA
-6.19

Forward PS

The forward P/S ratio is a valuation metric that divides a company's current stock price by its estimated future sales (or revenue) per share over the next 12 months.
StronglyUndervaluedUndervaluedFairOvervaluedStronglyOvervalueddotted line Image
5Y Average PS
0.87
Current PS
0.18
Overvalued PS
1.74
Undervalued PS
0.00

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Frequently Asked Questions

What is WiMi Hologram Cloud Inc (WIMI) stock price today?

The current price of WIMI is 1.82 USD — it has increased 13.75

What is WiMi Hologram Cloud Inc (WIMI)'s business?

WiMi Hologram Cloud Inc is a holding company principally engaged in the provision of augmented reality (AR)-based holographic services and products. The Company mainly operates through three segments. The AR Advertising Services segment is mainly engaged in the provision of online holographic AR advertising solution to embed holographic AR ads into films and shows that are hosted by online streaming platforms. The AR Entertainment segment is mainly engaged in the provision of payment middleware software, game distribution platform and holographic Mixed Reality (MR) software. The Semiconductor Related Products and Services segment is mainly engaged in the provision of central processing algorithm services and computer chip products to enterprise customers and the sales of comprehensive solutions for central processing algorithms and related services with software and hardware integration.

What is the price predicton of WIMI Stock?

Wall Street analysts forecast WIMI stock price to fall over the next 12 months. According to Wall Street analysts, the average 1-year price target for WIMI is USD with a low forecast of USD and a high forecast of USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.

What is WiMi Hologram Cloud Inc (WIMI)'s revenue for the last quarter?

WiMi Hologram Cloud Inc revenue for the last quarter amounts to NaN USD, decreased

What is WiMi Hologram Cloud Inc (WIMI)'s earnings per share (EPS) for the last quarter?

WiMi Hologram Cloud Inc. EPS for the last quarter amounts to USD, decreased

How many employees does WiMi Hologram Cloud Inc (WIMI). have?

WiMi Hologram Cloud Inc (WIMI) has 107 emplpoyees as of March 31 2026.

What is WiMi Hologram Cloud Inc (WIMI) market cap?

Today WIMI has the market capitalization of 23.41M USD.