WiMi Hologram Cloud Inc. (WIMI)
NASDAQ: WIMI · Real-Time Price · USD
1.510
+0.020 (1.34%)
At close: May 19, 2026, 4:00 PM EDT
1.480
-0.030 (-1.99%)
After-hours: May 19, 2026, 7:11 PM EDT
WiMi Hologram Cloud Employees
WiMi Hologram Cloud had 86 employees as of December 31, 2025. The number of employees decreased by 21 or -19.63% compared to the previous year.
Employees
86
Change (1Y)
-21
Growth (1Y)
-19.63%
Revenue / Employee
$701,966
Profits / Employee
$514,110
Market Cap
27.76M
Employees Chart
Employees History
| Date | Employees | Change (1Y) | Growth (1Y) |
|---|---|---|---|
| Dec 31, 2025 | 86 | -21 | -19.63% |
| Dec 31, 2024 | 107 | 0 | - |
| Dec 31, 2023 | 107 | -48 | -30.97% |
| Dec 31, 2022 | 155 | -55 | -26.19% |
| Dec 31, 2021 | 210 | 8 | 3.96% |
| Dec 31, 2020 | Upgrade Pro | Upgrade Pro | Upgrade Pro |
| Jun 30, 2020 | Upgrade Pro | Upgrade Pro | Upgrade Pro |
| Dec 31, 2019 | Upgrade Pro | Upgrade Pro | Upgrade Pro |
| Dec 31, 2018 | Upgrade Pro | Upgrade Pro | Upgrade Pro |
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WIMI News
- 8 days ago - WiMi Releases Next-Generation Quantum Neural Network Feature Mapping Technology: Repeated Amplitude Encoding Significantly Enhances Expressive Power of Quantum Models - PRNewsWire
- 13 days ago - WiMi Studies Multi-Scale Feature Fusion Quantum Deep Convolutional Neural Network for Text Classification - PRNewsWire
- 25 days ago - WiMi announced a net income of RMB 347 million for 2025, a year-on-year increase of 235% - PRNewsWire
- 3 months ago - WiMi Studies Hybrid Quantum-Classical Inception Neural Network Model for Image Classification - PRNewsWire
- 3 months ago - WiMi Hologram Cloud releases H-QNN technology - TheFly
- 3 months ago - WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification - GlobeNewsWire
- 4 months ago - WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning - GlobeNewsWire
- 4 months ago - WiMi Achieves Coexistence of Lightweight Design and High Performance by Efficiently Embedding Quantum Modules into U-Net - GlobeNewsWire