Logistic Properties Of Stock Price History
| LPA Stock | 2.98 0.05 1.71% |
If you're considering investing in Logistic Stock, it is important to understand the factors that can impact its price. As of today, the current price of Logistic Properties stands at 2.98, as last reported on the 16th of December 2025, with the highest price reaching 3.01 and the lowest price hitting 2.84 during the day. Logistic Properties has Sharpe Ratio of -0.21, which conveys that the firm had a -0.21 % return per unit of risk over the last 3 months. Logistic Properties exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Logistic Properties' Mean Deviation of 3.38, standard deviation of 4.89, and Risk Adjusted Performance of (0.15) to check out the risk estimate we provide. At present, Logistic Properties' Other Stockholder Equity is projected to increase significantly based on the last few years of reporting. The current year's Stock Based Compensation is expected to grow to about 2.2 M, whereas Total Stockholder Equity is forecasted to decline to about 199.7 M. . At present, Logistic Properties' Price Earnings To Growth Ratio is projected to slightly decrease based on the last few years of reporting. The current year's Price To Free Cash Flows Ratio is expected to grow to 131.42, whereas Price To Sales Ratio is forecasted to decline to 7.18. Logistic Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Sharpe Ratio = -0.2099
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | ||||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | LPA |
Based on monthly moving average Logistic Properties is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Logistic Properties by adding Logistic Properties to a well-diversified portfolio.
Price Book 0.3796 | Enterprise Value Ebitda 7.9567 | Price Sales 1.9488 | Shares Float 3.1 M | Earnings Share 0.23 |
Logistic Properties Stock Price History Chart
There are several ways to analyze Logistic Stock price data. The simplest method is using a basic Logistic candlestick price chart, which shows Logistic Properties price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
| Highest Price | September 19, 2025 | 6.3 |
| Lowest Price | November 4, 2025 | 2.68 |
Logistic Properties December 16, 2025 Stock Price Synopsis
Various analyses of Logistic Properties' daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Logistic Stock. It can be used to describe the percentage change in the price of Logistic Properties from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Logistic Stock.| Logistic Properties Price Rate Of Daily Change | 1.02 | |
| Logistic Properties Accumulation Distribution | 3,053 | |
| Logistic Properties Price Daily Balance Of Power | 0.29 | |
| Logistic Properties Price Action Indicator | 0.08 |
Logistic Properties December 16, 2025 Stock Price Analysis
Logistic Stock Price History Data
The price series of Logistic Properties for the period between Wed, Sep 17, 2025 and Tue, Dec 16, 2025 has a statistical range of 3.94 with a coefficient of variation of 28.99. The daily prices for the period are spread out with arithmetic mean of 4.03. The median price for the last 90 days is 3.52.| Open | High | Low | Close | Volume | ||
12/15/2025 | 2.93 | 3.01 | 2.84 | 2.98 | 54,052 | |
12/12/2025 | 2.97 | 3.01 | 2.93 | 2.93 | 41,088 | |
12/11/2025 | 3.01 | 3.12 | 2.86 | 3.01 | 28,743 | |
12/10/2025 | 3.00 | 3.15 | 3.00 | 3.05 | 12,913 | |
| 12/09/2025 | 3.01 | 3.12 | 3.01 | 3.01 | 6,021 | |
12/08/2025 | 3.04 | 3.12 | 3.00 | 3.00 | 13,009 | |
12/05/2025 | 3.18 | 3.18 | 3.00 | 3.00 | 24,769 | |
12/04/2025 | 3.02 | 3.08 | 3.02 | 3.02 | 20,918 | |
12/03/2025 | 3.15 | 3.15 | 3.02 | 3.11 | 26,110 | |
| 12/02/2025 | 3.31 | 3.37 | 3.01 | 3.01 | 65,415 | |
12/01/2025 | 3.43 | 3.43 | 3.25 | 3.29 | 12,746 | |
11/28/2025 | 3.29 | 3.50 | 3.26 | 3.38 | 35,823 | |
11/26/2025 | 3.43 | 3.60 | 3.39 | 3.45 | 24,000 | |
| 11/25/2025 | 3.24 | 3.49 | 3.24 | 3.47 | 51,892 | |
11/24/2025 | 3.26 | 3.35 | 3.21 | 3.29 | 24,700 | |
11/21/2025 | 3.05 | 3.29 | 3.05 | 3.29 | 20,521 | |
11/20/2025 | 3.17 | 3.29 | 3.06 | 3.06 | 25,078 | |
11/19/2025 | 3.23 | 3.30 | 3.07 | 3.15 | 20,600 | |
11/18/2025 | 3.20 | 3.29 | 3.08 | 3.21 | 20,161 | |
11/17/2025 | 3.30 | 3.35 | 3.18 | 3.18 | 28,519 | |
11/14/2025 | 3.18 | 3.40 | 3.18 | 3.40 | 14,201 | |
| 11/13/2025 | 3.13 | 3.39 | 3.08 | 3.20 | 22,934 | |
11/12/2025 | 3.29 | 3.30 | 3.08 | 3.14 | 17,200 | |
11/11/2025 | 3.06 | 3.20 | 3.00 | 3.20 | 16,372 | |
11/10/2025 | 3.03 | 3.16 | 2.98 | 3.04 | 36,059 | |
11/07/2025 | 2.71 | 3.30 | 2.67 | 3.09 | 122,275 | |
11/06/2025 | 2.69 | 2.84 | 2.59 | 2.69 | 31,042 | |
11/05/2025 | 2.55 | 3.09 | 2.55 | 2.77 | 108,412 | |
| 11/04/2025 | 3.22 | 3.29 | 2.57 | 2.68 | 273,327 | |
11/03/2025 | 3.40 | 3.47 | 3.22 | 3.28 | 33,741 | |
10/31/2025 | 3.33 | 3.40 | 3.13 | 3.39 | 28,053 | |
| 10/30/2025 | 3.57 | 3.57 | 3.21 | 3.30 | 49,850 | |
10/29/2025 | 3.40 | 3.44 | 3.26 | 3.26 | 18,331 | |
10/28/2025 | 3.53 | 3.53 | 3.21 | 3.34 | 51,222 | |
| 10/27/2025 | 3.53 | 3.64 | 3.47 | 3.52 | 18,277 | |
10/24/2025 | 3.60 | 3.65 | 3.50 | 3.62 | 61,622 | |
10/23/2025 | 3.75 | 3.76 | 3.53 | 3.57 | 34,630 | |
10/22/2025 | 3.77 | 3.80 | 3.53 | 3.79 | 28,067 | |
10/21/2025 | 3.84 | 3.95 | 3.76 | 3.78 | 43,890 | |
10/20/2025 | 3.75 | 3.96 | 3.63 | 3.96 | 55,336 | |
10/17/2025 | 3.82 | 4.41 | 3.66 | 3.78 | 62,605 | |
10/16/2025 | 4.13 | 4.14 | 3.79 | 3.86 | 98,897 | |
10/15/2025 | 4.30 | 4.32 | 4.02 | 4.10 | 86,671 | |
10/14/2025 | 4.26 | 4.41 | 4.16 | 4.36 | 9,925 | |
10/13/2025 | 4.26 | 4.46 | 4.18 | 4.26 | 37,450 | |
10/10/2025 | 4.46 | 4.50 | 4.10 | 4.10 | 23,096 | |
10/09/2025 | 4.42 | 4.50 | 4.40 | 4.41 | 11,439 | |
10/08/2025 | 4.63 | 4.73 | 4.40 | 4.43 | 27,877 | |
10/07/2025 | 4.58 | 4.63 | 4.45 | 4.63 | 27,494 | |
10/06/2025 | 4.16 | 4.57 | 4.13 | 4.57 | 64,850 | |
10/03/2025 | 4.15 | 4.53 | 4.14 | 4.41 | 94,607 | |
10/02/2025 | 4.50 | 4.65 | 4.07 | 4.50 | 294,500 | |
10/01/2025 | 4.64 | 4.74 | 4.48 | 4.68 | 57,702 | |
09/30/2025 | 4.96 | 5.14 | 4.40 | 4.66 | 75,618 | |
09/29/2025 | 6.00 | 6.10 | 4.89 | 4.94 | 213,900 | |
09/26/2025 | 6.02 | 6.02 | 5.80 | 5.99 | 7,093 | |
09/25/2025 | 6.00 | 6.09 | 5.95 | 5.95 | 10,800 | |
09/24/2025 | 6.03 | 6.10 | 5.94 | 6.10 | 7,775 | |
09/23/2025 | 6.10 | 6.10 | 6.00 | 6.03 | 3,443 | |
09/22/2025 | 6.12 | 6.19 | 6.10 | 6.10 | 9,150 | |
09/19/2025 | 6.08 | 6.30 | 6.08 | 6.30 | 19,100 |
About Logistic Properties Stock history
Logistic Properties investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Logistic is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Logistic Properties will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Logistic Properties stock prices may prove useful in developing a viable investing in Logistic Properties
| Last Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 31 M | 29.4 M | |
| Net Loss | -29.3 M | -27.8 M |
Logistic Properties Stock Technical Analysis
Logistic Properties technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Did you try this?
Run Financial Widgets Now
Financial WidgetsEasily integrated Macroaxis content with over 30 different plug-and-play financial widgets |
| All Next | Launch Module |
Logistic Properties Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Logistic Properties' price direction in advance. Along with the technical and fundamental analysis of Logistic Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Logistic to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (1.25) | |||
| Total Risk Alpha | (1.59) | |||
| Treynor Ratio | (0.56) |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Complementary Tools for Logistic Stock analysis
When running Logistic Properties' price analysis, check to measure Logistic Properties' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Logistic Properties is operating at the current time. Most of Logistic Properties' value examination focuses on studying past and present price action to predict the probability of Logistic Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Logistic Properties' price. Additionally, you may evaluate how the addition of Logistic Properties to your portfolios can decrease your overall portfolio volatility.
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities |