AI Analysis

Log in to generate an AI summary for this stock.

Log in to generate a MOAT report for this stock.

Log in to generate an earnings report for this stock.

Log in to generate an operating leverage report for this stock.

Log in to generate a management report for this stock.

Log in to generate a valuation report for this stock.

WiMi Hologram Cloud Inc.

$1.06 -$1.42 (-57.26%)
NASDAQ · 14 Sep 2026 20:00 UTC
Previous Close
$1.03
Day Range
$1.02$1.12
Year Range
$1$5.65
Market Cap
52.05M
AVG Volume
164.17K
Trailing/Forward PE
0.13/0.17
PEG ratio
-0
Dividend Yield
-
Next Earnings Date
2026-09-24
Primary Exchange
NASDAQUS
Revenue (CNY)
0250M500M750M1B20182019202020212022202320242025
WIMI Revenue (CNY) by year
PeriodRevenue (CNY)
2025727.49M
2024541.92M
2023585.37M
2022682.29M
2021933.79M
2020766.01M
2019319.18M
2018225.27M
Net Income (CNY)
-500M-250M0250M500M750M20182019202020212022202320242025
WIMI Net Income (CNY) by year
PeriodNet Income (CNY)
2025517.02M
202471.64M
2023-421.19M
2022-357.73M
2021-235.97M
2020-151.17M
2019102.2M
201889.22M
Operating Income (CNY)
-800M-600M-400M-200M0200M20182019202020212022202320242025
WIMI Operating Income (CNY) by year
PeriodOperating Income (CNY)
2025-67.22M
2024-29.08M
2023-617.06M
2022-308.71M
2021-263.66M
2020-153.42M
2019112.85M
2018100.8M
EBITDA (CNY)
-400M-200M0200M400M600M20182019202020212022202320242025
WIMI EBITDA (CNY) by year
PeriodEBITDA (CNY)
2025503.04M
202429.94M
2023-209.48M
2022-271.43M
2021-109.93M
2020-131.59M
2019126.74M
2018114.34M
Cash Flows (CNY)
-500M-250M0250M500M750M20182019202020212022202320242025
WIMI Cash Flows (CNY) by year
PeriodCash Flows (CNY)
2025195.31M
2024532.88M
202318.15M
2022-350.52M
202133M
2020-28M
2019143.76M
201899.41M
EPS (CNY)
-20020406020182019202020212022202320242025
WIMI EPS (CNY) by year
PeriodEPS (CNY)
202542.44
20246.68
2023-3.07
2022-4.36
2021-2.73
2020-1.92
20191.78
20181.62
Expenses (CNY)
0100M200M300M400MR&DSG&ACapex20182019202020212022202320242025
WIMI Expenses (CNY) by year
PeriodExpenses (CNY)
2025279.12M
2024148.21M
2023399.93M
2022393.42M
2021257.16M
2020123.26M
201958.78M
201839.1M
Cash & Debt (CNY)
01B2B3B4BCashLong Term DebtShort Term Debt20182019202020212022202320242025
WIMI Cash & Debt (CNY) by year
PeriodCash & Debt (CNY)
20253.38B
20241.92B
2023773.84M
2022611.23M
2021785.44M
2020387.9M
2019129.05M
2018151.95M
Debt ratios
-500050010001500200020212022202320242025
WIMI Debt ratios by year
PeriodDebt ratios
2025-60.27
20243.16
20231
20221.47
20211570.28
Margins
0%20%40%60%80%20182019202020212022202320242025
WIMI Margins by year
PeriodMargins
202526.05%
202428.41%
202329.67%
202220.97%
202126.73%
202022.12%
201954.21%
201862.08%
Return on Capital
-75%-50%-25%0%25%50%20182019202020212022202320242025
WIMI Return on Capital by year
PeriodReturn on Capital
202519.41%
20245.17%
2023-55.31%
2022-31.12%
2021-17.62%
2020-14.98%
201924.18%
201827.97%
Shares Outstanding
025M50M75M100M20182019202020212022202320242025
WIMI Shares Outstanding by year
PeriodShares Outstanding
20256.8M
20249.82M
202388.15M
202286.71M
202186.11M
202074.82M
201954.59M
201851.6M
Book Value Per Share (CNY)
010020030040020182019202020212022202320242025
WIMI Book Value Per Share (CNY) by year
PeriodBook Value Per Share (CNY)
2025391.8
2024141.02
20238.64
202213.26
202115.55
202013.49
20197.74
20186.18
Total Assets (CNY)
01B2B3B4B20182019202020212022202320242025
WIMI Total Assets (CNY) by year
PeriodTotal Assets (CNY)
20253.61B
20242.15B
20231.03B
20221.26B
20211.51B
20201.17B
2019563.5M
2018607.48M
Employee Count
0100200300202020212022
WIMI Employee Count by year
PeriodEmployee Count
2022202
2021210
2020202
PE Ratio
02505007501000med 3.74Jul 20Nov 20Jul 25Oct 25Feb 26May 26Sep 26
WIMI PE Ratio by year
PeriodPE Ratio
Sep 260.09
Sep 260.11
Aug 260.11
Aug 260.12
Aug 260.12
Aug 260.12
Jul 260.11
Jul 260.1
Jul 260.11
Jul 260.13
Jul 260.14
Jun 260.13
Jun 260.14
Jun 260.14
Jun 260.14
May 260.15
May 260.14
May 260.14
May 260.14
May 260.15
Apr 260.16
Apr 260.95
Apr 260.89
Apr 260.92
Mar 260.78
Mar 260.8
Mar 260.93
Mar 260.89
Feb 260.93
Feb 260.9
Feb 260.89
Feb 260.99
Jan 261
Jan 261.32
Jan 261.39
Jan 261.33
Jan 261.22
Dec 251.3
Dec 251.45
Dec 251.45
Dec 251.56
Nov 252.97
Nov 252.73
Nov 252.86
Nov 253.1
Oct 253.71
Oct 253.84
Oct 253.78
Oct 253.88
Oct 254.6
Sep 254.49
Sep 256.67
Sep 256.14
Sep 255.35
Aug 255.56
Aug 255.4
Aug 255.22
Aug 255.03
Aug 254.6
Jul 255.74
Jul 255.14
Jul 254.85
Jul 253.98
Jun 254.13
Jun 253.46
Jun 253.22
Jun 253.7
May 254.87
May 253.23
May 254.25
May 254.13
May 254.67
Apr 255.05
Nov 20532.97
Nov 20517.99
Nov 20481.79
Nov 20507.68
Oct 20469.82
Oct 20470.12
Oct 20501.91
Oct 20441.47
Oct 20445.31
Sep 20502.81
Sep 20553.75
Sep 20564.23
Sep 20518.74
Aug 20376.68
Aug 20406.64
Aug 20430.99
Aug 20455.61
Jul 20350.72
Jul 20591.01
Jul 20856.05
Jul 20769.56
Jul 20184.3
Jun 20186.18
Jun 20184.95
Jun 20187.34
Jun 20183.62
May 20140.98
Free Cash Flow Yield
0%200%400%600%med 104%Dec 24Apr 25Jul 25Oct 25Feb 26May 26Sep 26
WIMI Free Cash Flow Yield by year
PeriodFree Cash Flow Yield
Sep 26415.72%
Sep 26353.7%
Aug 26328.5%
Aug 26309.68%
Aug 26313.3%
Aug 26320.08%
Jul 26354.53%
Jul 26368.83%
Jul 26347.46%
Jul 26284.47%
Jul 26276.54%
Jun 26285.49%
Jun 26266.89%
Jun 26262.18%
Jun 26270.42%
May 26248.25%
May 26260.95%
May 26277.5%
May 26263.98%
May 26247.48%
Apr 26238.74%
Apr 26143.68%
Apr 26153.53%
Apr 26148.24%
Mar 26175.37%
Mar 26171.74%
Mar 26146.47%
Mar 26153.66%
Feb 26146.52%
Feb 26152.57%
Feb 26154.25%
Feb 26137.67%
Jan 26136.76%
Jan 26103.15%
Jan 2698.34%
Jan 26102.95%
Jan 26111.82%
Dec 25104.85%
Dec 2594.33%
Dec 2594.47%
Dec 2587.64%
Nov 25117.76%
Nov 25128.12%
Nov 25122.57%
Nov 25112.93%
Oct 2594.52%
Oct 2591.1%
Oct 2592.68%
Oct 2590.24%
Oct 2576.2%
Sep 2578.04%
Sep 2569.95%
Sep 2575.97%
Sep 2587.22%
Aug 2584%
Aug 2586.38%
Aug 2589.39%
Aug 2592.82%
Aug 25101.43%
Jul 2581.34%
Jul 2590.89%
Jul 2596.21%
Jul 25117.33%
Jun 25112.94%
Jun 25134.87%
Jun 25144.89%
Jun 25126.24%
May 2595.8%
May 25230.42%
May 25175.05%
May 25180.26%
May 25159.12%
Apr 25147.18%
Apr 25117.57%
Apr 2582.38%
Apr 2574.1%
Mar 2555.14%
Mar 2571.03%
Mar 2564.67%
Mar 2568.16%
Feb 2563.45%
Feb 2539.14%
Feb 2548.72%
Feb 2556.52%
Jan 2552.94%
Jan 2548.31%
Jan 2544.53%
Jan 2540.46%
Jan 2530.58%
Dec 2421.57%
Dec 2446.6%
Dec 2462.31%
Dec 2461.82%
Nov 2460.25%
Nov 245.88%
Nov 246.24%
Nov 245.85%
Nov 245.82%
Oct 245.63%
Oct 245.52%
Price to Sales
0246med 0.86Dec 24Apr 25Jul 25Oct 25Feb 26May 26Sep 26
WIMI Price to Sales by year
PeriodPrice to Sales
Sep 260.06
Sep 260.08
Aug 260.08
Aug 260.09
Aug 260.09
Aug 260.08
Jul 260.08
Jul 260.07
Jul 260.08
Jul 260.09
Jul 260.1
Jun 260.09
Jun 260.1
Jun 260.1
Jun 260.1
May 260.11
May 260.1
May 260.1
May 260.1
May 260.11
Apr 260.11
Apr 260.53
Apr 260.5
Apr 260.51
Mar 260.43
Mar 260.44
Mar 260.52
Mar 260.49
Feb 260.52
Feb 260.5
Feb 260.49
Feb 260.55
Jan 260.56
Jan 260.74
Jan 260.77
Jan 260.74
Jan 260.68
Dec 250.73
Dec 250.81
Dec 250.81
Dec 250.87
Nov 251.15
Nov 251.06
Nov 251.11
Nov 251.2
Oct 251.44
Oct 251.49
Oct 251.46
Oct 251.5
Oct 251.78
Sep 251.74
Sep 251.65
Sep 251.51
Sep 251.32
Aug 251.37
Aug 251.33
Aug 251.29
Aug 251.24
Aug 251.13
Jul 251.41
Jul 251.27
Jul 251.2
Jul 250.98
Jun 251.02
Jun 250.85
Jun 250.79
Jun 250.91
May 251.2
May 250.43
May 250.56
May 250.55
May 250.62
Apr 250.67
Apr 250.52
Apr 250.75
Apr 250.83
Mar 251.11
Mar 250.86
Mar 250.95
Mar 250.9
Feb 250.97
Feb 251.57
Feb 251.26
Feb 251.09
Jan 251.16
Jan 251.27
Jan 251.38
Jan 251.52
Jan 252.01
Dec 242.85
Dec 241.32
Dec 240.98
Dec 240.99
Nov 241.02
Nov 244.86
Nov 244.59
Nov 244.89
Nov 244.92
Oct 245.09
Oct 245.19
EV/EBITDA
-2000200400600800med -14.93Jul 20Nov 20Jul 25Oct 25Feb 26May 26Sep 26
WIMI EV/EBITDA by year
PeriodEV/EBITDA
Sep 26-6.15
Sep 26-6.13
Aug 26-6.12
Aug 26-6.11
Aug 26-6.12
Aug 26-6.12
Jul 26-6.13
Jul 26-6.13
Jul 26-6.13
Jul 26-6.1
Jul 26-6.1
Jun 26-6.1
Jun 26-6.09
Jun 26-6.09
Jun 26-6.1
May 26-6.08
May 26-6.09
May 26-6.1
May 26-6.09
May 26-6.08
Apr 26-6.08
Apr 26-21.2
Apr 26-21.31
Apr 26-21.25
Mar 26-21.5
Mar 26-21.47
Mar 26-21.23
Mar 26-21.31
Feb 26-21.24
Feb 26-21.3
Feb 26-21.32
Feb 26-21.13
Jan 26-21.12
Jan 26-20.55
Jan 26-20.44
Jan 26-20.55
Jan 26-20.73
Dec 25-20.59
Dec 25-20.33
Dec 25-20.34
Dec 25-20.14
Nov 25-16.34
Nov 25-16.62
Nov 25-16.48
Nov 25-16.2
Oct 25-15.49
Oct 25-15.33
Oct 25-15.41
Oct 25-15.29
Oct 25-14.46
Sep 25-14.58
Sep 25-23.72
Sep 25-24.45
Sep 25-25.53
Aug 25-25.25
Aug 25-25.46
Aug 25-25.71
Aug 25-25.98
Aug 25-26.56
Jul 25-25
Jul 25-25.83
Jul 25-26.22
Jul 25-27.42
Jun 25-27.21
Jun 25-28.13
Jun 25-28.46
Jun 25-27.8
May 25-26.19
May 25-51.39
May 25-48.95
May 25-49.24
May 25-47.93
Apr 25-47.03
Nov 20379.11
Nov 20368.35
Nov 20342.36
Nov 20360.95
Oct 20333.77
Oct 20333.98
Oct 20356.81
Oct 20313.41
Oct 20316.17
Sep 20357.46
Sep 20394.03
Sep 20401.56
Sep 20368.89
Aug 20298.27
Aug 20322.18
Aug 20341.62
Aug 20361.27
Jul 20277.55
Jul 20469.35
Jul 20680.9
Jul 20611.86
Jul 20144.71
Jun 20146.22
Jun 20145.23
Jun 20147.14
Jun 20144.17
May 20113.36
Price/Operating Cashflow
051015med 0.89Dec 24Apr 25Jul 25Oct 25Feb 26May 26Sep 26
WIMI Price/Operating Cashflow by year
PeriodPrice/Operating Cashflow
Sep 260.17
Sep 260.19
Aug 260.21
Aug 260.22
Aug 260.22
Aug 260.22
Jul 260.19
Jul 260.19
Jul 260.2
Jul 260.24
Jul 260.25
Jun 260.24
Jun 260.26
Jun 260.26
Jun 260.25
May 260.28
May 260.26
May 260.25
May 260.26
May 260.28
Apr 260.29
Apr 260.64
Apr 260.6
Apr 260.62
Mar 260.52
Mar 260.53
Mar 260.63
Mar 260.6
Feb 260.63
Feb 260.6
Feb 260.59
Feb 260.67
Jan 260.67
Jan 260.89
Jan 260.93
Jan 260.89
Jan 260.82
Dec 250.88
Dec 250.97
Dec 250.97
Dec 251.05
Nov 250.85
Nov 250.78
Nov 250.82
Nov 250.89
Oct 251.06
Oct 251.1
Oct 251.08
Oct 251.11
Oct 251.31
Sep 251.28
Sep 251.43
Sep 251.32
Sep 251.15
Aug 251.19
Aug 251.16
Aug 251.12
Aug 251.08
Aug 250.99
Jul 251.23
Jul 251.1
Jul 251.04
Jul 250.85
Jun 250.89
Jun 250.74
Jun 250.69
Jun 250.79
May 251.04
May 250.43
May 250.57
May 250.55
May 250.63
Apr 250.68
Apr 250.78
Apr 251.11
Apr 251.23
Mar 251.65
Mar 251.28
Mar 251.41
Mar 251.34
Feb 251.44
Feb 252.33
Feb 251.87
Feb 251.61
Jan 251.72
Jan 251.89
Jan 252.05
Jan 252.26
Jan 252.98
Dec 244.23
Dec 241.96
Dec 241.46
Dec 241.48
Nov 241.51
Nov 2412.25
Nov 2411.55
Nov 2412.32
Nov 2412.38
Oct 2412.81
Oct 2413.07
Price to Book
01234med 0.21Dec 24Apr 25Jul 25Oct 25Feb 26May 26Sep 26
WIMI Price to Book by year
PeriodPrice to Book
Sep 260.02
Sep 260.02
Aug 260.02
Aug 260.02
Aug 260.02
Aug 260.02
Jul 260.02
Jul 260.02
Jul 260.02
Jul 260.03
Jul 260.03
Jun 260.03
Jun 260.03
Jun 260.03
Jun 260.03
May 260.03
May 260.03
May 260.03
May 260.03
May 260.03
Apr 260.03
Apr 260.09
Apr 260.08
Apr 260.08
Mar 260.07
Mar 260.07
Mar 260.08
Mar 260.08
Feb 260.08
Feb 260.08
Feb 260.08
Feb 260.09
Jan 260.09
Jan 260.12
Jan 260.13
Jan 260.12
Jan 260.11
Dec 250.12
Dec 250.13
Dec 250.13
Dec 250.14
Nov 250.21
Nov 250.19
Nov 250.2
Nov 250.22
Oct 250.26
Oct 250.27
Oct 250.27
Oct 250.27
Oct 250.32
Sep 250.31
Sep 250.33
Sep 250.31
Sep 250.27
Aug 250.28
Aug 250.27
Aug 250.26
Aug 250.25
Aug 250.23
Jul 250.29
Jul 250.26
Jul 250.24
Jul 250.2
Jun 250.21
Jun 250.17
Jun 250.16
Jun 250.18
May 250.24
May 250.17
May 250.22
May 250.21
May 250.24
Apr 250.26
Apr 250.22
Apr 250.31
Apr 250.34
Mar 250.46
Mar 250.36
Mar 250.4
Mar 250.37
Feb 250.4
Feb 250.65
Feb 250.52
Feb 250.45
Jan 250.48
Jan 250.53
Jan 250.57
Jan 250.63
Jan 250.84
Dec 241.19
Dec 240.55
Dec 240.41
Dec 240.41
Nov 240.42
Nov 243.41
Nov 243.21
Nov 243.43
Nov 243.45
Oct 243.57
Oct 243.64
WiMi Hologram Cloud Inc.
WIMI
Stockpicker

Video analysis: WIMI

All videos

No video analysis for this stock yet. Request one from our team.

Your email is used only to follow up on this request. We do not add you to marketing lists. Privacy Policy

News: WIMI

WiMi Develops Variational Quantum Algorithm-Driven Multi-Dimensional Data Pooling Optimization Technology

prnewswire.com · 8 Sep 2026

WiMi Develops Variational Quantum Algorithm-Driven Multi-Dimensional Data Pooling Optimization Technology

BEIJING, Sept. 8, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announces the proposal of a multi-dimensional pooling optimization scheme based on Variational Quantum Algorithms (VQA), which, by integrating the Quantum Haar Transform (QHT) with quantum partial measurement technology, constructs a quantum pooling mechanism that simultaneously possesses local feature preservation capability and dimension compression efficiency.

WiMi's Next-Generation Quantum Convolutional Neural Network Reshapes Classical Data Classification Methods

prnewswire.com · 21 Aug 2026

WiMi's Next-Generation Quantum Convolutional Neural Network Reshapes Classical Data Classification Methods

BEIJING, Aug. 21, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, proposes a cutting-edge quantum machine learning technology oriented toward classical data classification tasks—a quantum convolutional neural network with interaction layers for classical data classification. This technology systematically enhances the overall performance of quantum convolutional neural networks in terms of expressive power, entanglement generation capability, and actual classification performance by introducing a novel interaction layer structure based on three-qubit interactions, marking an important step forward in the structural design of quantum deep learning models toward a new phase driven by multi-body interactions.

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

gurufocus.com · 13 Aug 2026

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification PR Newswire BEIJ

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

prnewswire.com · 13 Aug 2026

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

BEIJING, Aug. 13, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WIMI" or the "Company"), a globally leading technology provider, announces a major breakthrough in releasing Hybrid Quantum Neural Network (H-QNN), an innovative hybrid quantum-classical neural network technology tailored for the image recognition sector. The technology creatively integrates parameterised quantum circuits with classical neural network architectures and has been successfully deployed for binary image classification tasks on the MNIST dataset, delivering outstanding performance in classification accuracy, feature representation capability, and model training efficiency.

WiMi Explores Federated Training Framework for Hybrid Quantum-Classical Machine Learning Models

prnewswire.com · 4 Aug 2026

WiMi Explores Federated Training Framework for Hybrid Quantum-Classical Machine Learning Models

BEIJING, Aug. 4, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, is exploring a federated training framework for hybrid quantum-classical machine learning models, deeply integrating quantum neural networks (QNN) with classical pre-trained convolutional models, achieving dual breakthroughs in model accuracy and training efficiency through a distributed quantum computing architecture, and opening up innovative technical paths for data privacy protection and large-scale model training. Quantum computers, through the superposition and entanglement states of qubits, can process an exponential number of computational tasks in parallel.

WiMi Hologram Cloud Inc. Conducts Technical Research on Quantum Visual Tracking Algorithms

prnewswire.com · 27 Jul 2026

WiMi Hologram Cloud Inc. Conducts Technical Research on Quantum Visual Tracking Algorithms

BEIJING, July 27, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WIMI" or the "Company"), a globally leading technology provider, has delved into the interdisciplinary field of quantum computing and computer vision to carry out research on quantum visual tracking algorithm technology. Deeply integrating the core characteristics of quantum computing with classic visual tracking frameworks, this algorithm reconstructs the full-process logic of algorithm training and detection, achieving technological innovations at the underlying computing power and algorithm architecture levels.

WiMi Releases Resource-Efficient Quantum Convolutional Neural Network Based on QRAM, Accelerating the Practical Implementation of Large-Scale Image Classification Applications

prnewswire.com · 20 Jul 2026

WiMi Releases Resource-Efficient Quantum Convolutional Neural Network Based on QRAM, Accelerating the Practical Implementation of Large-Scale Image Classification Applications

BEIJING, July 20, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced the release of its latest independently developed achievement—a quantum convolutional neural network for efficient image classification based on quantum random access memory (QRAM). This technology is oriented toward typical image classification tasks with large-scale input data and multiple output channels.

WiMi Explores the Application of Neural Networks in Parameter Optimization for Dual-Field Quantum Key Distribution

prnewswire.com · 29 Jun 2026

WiMi Explores the Application of Neural Networks in Parameter Optimization for Dual-Field Quantum Key Distribution

BEIJING, June 29, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced that they are researching the use of neural networks for machine learning to optimize parameters in the dual-field quantum key distribution (TF-QKD) system. This innovative approach aims to leverage the powerful fitting ability and generalization performance of neural networks to directly predict the optimal parameter configuration for the TF-QKD system, significantly reducing computation time and resource consumption.

Similar companies

Disclaimer: The historical data presented on this platform is provided by Financial Modeling Prep. Stock Picker is a platform for informational purposes only and does not provide financial advice. Users are encouraged to conduct their own research and consult with a qualified financial advisor before making investment decisions.