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PKSHA Technology Inc.(3993) Summary

3993
TSE Prime
PKSHA Technology Inc.
3,330
JPY
-75
(-2.20%)
Dec 5, 12:45 pm JST
21.46
USD
Dec 4, 10:45 pm EST
Result
PTS
outside of trading hours
3,328
Dec 5, 12:42 pm JST
Summary Chart Historical News Financial Result
PER
36.2
PBR
3.00
Yield
ー%
Margin Trading Ratio
4.37
Stock Price
Dec 5, 2025
Opening Dec 5, 9:00 am
3,405 JPY 21.94 USD
Previous Close Dec 4
3,405 JPY 21.91 USD
High Dec 5, 9:00 am
3,415 JPY 22.01 USD
Low Dec 5, 10:37 am
3,315 JPY 21.36 USD
Volume
151,600
Trading Value
0.51B JPY 3.28M USD
VWAP
3353.29 JPY 21.62 USD
Minimum Trading Value
333,000 JPY 2,146 USD
Market Cap
0.11T JPY 0.69B USD
Number of Trades
436
Liquidity & Number of Trades
As of Dec 5, 2025
Liquidity
High
1-Year Average
1,460
1-Year High Jan 29, 2025
6,749
Margin Trading
Date Short Interest Long Margin Positions Ratio
Nov 28, 2025 177,300 1,809,900 10.21
Nov 21, 2025 178,600 1,781,000 9.97
Nov 14, 2025 173,500 1,887,700 10.88
Nov 7, 2025 195,700 1,582,500 8.09
Oct 31, 2025 253,600 1,457,000 5.75
Company Profile
PKSHA Technology Inc. is an AI venture company focusing on deep learning technology development, including image recognition and automated dialogue. The company collaborates with Toyota.
Sector
Information & Communication
PKSHA Technology Inc. develops algorithm modules centered on machine learning, natural language processing, and deep learning as an AI venture. Utilizing these technologies, the company supports client businesses in improving operational efficiency and enhancing added value. In its AI Research & Solution business, PKSHA Technology conducts comprehensive services from joint research and development to solution provision with partner companies. The AI SaaS business offers products such as automated response engines, FAQ systems, and RPA software, enabling automation and efficiency in corporate customer touchpoints and internal operations. Through partnerships with industry-leading companies, PKSHA Technology develops high-quality software. The company achieves high retention rates and profitability through accuracy improvements based on data feedback and a monthly subscription model.