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Macbee Planet,Inc.(7095) Summary

7095
TSE Prime
Macbee Planet,Inc.
1,346
JPY
-51
(-3.65%)
Mar 13, 3:30 pm JST
8.44
USD
Mar 13, 2:30 am EDT
Result
PTS
outside of trading hours
1,346
Mar 13, 6:32 pm JST
Summary Chart Historical News Financial Result
PER
7.5
PBR
1.34
Yield
4.09%
Margin Trading Ratio
591.50
Stock Price
Mar 13, 2026
Opening Mar 13, 9:00 am
1,397 JPY 8.77 USD
Previous Close Mar 12
1,397 JPY 8.78 USD
High Mar 13, 9:00 am
1,397 JPY 8.77 USD
Low Mar 13, 9:28 am
1,317 JPY 8.28 USD
Volume
289,500
Trading Value
0.39B JPY 2.45M USD
VWAP
1348.68 JPY 8.46 USD
Minimum Trading Value
134,600 JPY 844 USD
Market Cap
0.02T JPY 0.12B USD
Number of Trades
1,064
Liquidity & Number of Trades
As of Mar 13, 2026
Liquidity
Slightly High
1-Year Average
678
1-Year High Jun 13, 2025
5,686
Margin Trading
Date Short Interest Long Margin Positions Ratio
Mar 6, 2026 0 868,700
Feb 27, 2026 0 925,200
Feb 20, 2026 0 969,800
Feb 13, 2026 0 985,400
Feb 6, 2026 0 1,000,400
Company Profile
Macbee Planet, Inc. specializes in marketing support with a focus on LTV (Lifetime Value) prediction. The company primarily operates on a performance-based fee model.
Sector
Services
Macbee Planet, Inc. engages in marketing support services, leveraging its strength in LTV (Lifetime Value) prediction. The company assists businesses aiming to enhance their sales promotion, customer acquisition, and brand awareness through internet-based strategies. By utilizing data analysis platforms and web hospitality tools, Macbee Planet optimizes cost-effectiveness for its clients. The company primarily offers new user acquisition support on a performance-based fee model, providing services such as centralized management of web advertisements, selection of appropriate ad placements, improvement of landing page traffic, strategy planning, and operational support. In addition to affiliate and listing advertisements, Macbee Planet also incorporates offline advertising. The company implements effective marketing strategies by employing proprietary AI technology for user behavior and LTV predictions.