Warehouses De Pauw Stock Net Income
| WDPSF Stock | USD 26.86 0.37 1.40% |
As of the 27th of January, Warehouses maintains the Downside Deviation of 2.01, market risk adjusted performance of (0.90), and Mean Deviation of 0.8096. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Warehouses De Pauw, as well as the relationship between them. Please check out Warehouses De Pauw jensen alpha and downside variance to decide if Warehouses De Pauw is priced fairly, providing market reflects its latest price of 26.86 per share. Given that Warehouses De Pauw has jensen alpha of 0.0889, we strongly advise you to confirm Warehouses De Pauw's prevalent market performance to make sure the company can sustain itself at a future point.
Warehouses' financial statements offer valuable quarterly and annual insights to potential investors, highlighting the company's current and historical financial position, overall management performance, and changes in financial standing over time. Key fundamentals influencing Warehouses' valuation are provided below:Warehouses De Pauw does not presently have any fundamental gauges for analysis. This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools. Warehouses |
Warehouses 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Warehouses' pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Warehouses.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Warehouses on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Warehouses De Pauw or generate 0.0% return on investment in Warehouses over 90 days. Warehouses is related to or competes with FIBRA Prologis, Covivio, Land Securities, LondonMetric Property, Mapletree Logistics, Land Securities, and GPT. WDP develops and invests in logistics property More
Warehouses Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Warehouses' pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Warehouses De Pauw upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.01 | |||
| Information Ratio | 0.0075 | |||
| Maximum Drawdown | 9.25 | |||
| Value At Risk | (2.20) | |||
| Potential Upside | 4.08 |
Warehouses Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Warehouses' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Warehouses' standard deviation. In reality, there are many statistical measures that can use Warehouses historical prices to predict the future Warehouses' volatility.| Risk Adjusted Performance | 0.0497 | |||
| Jensen Alpha | 0.0889 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0057 | |||
| Treynor Ratio | (0.91) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Warehouses' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Warehouses January 27, 2026 Technical Indicators
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| Math Transform | ||
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| Overlap Studies | ||
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| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.0497 | |||
| Market Risk Adjusted Performance | (0.90) | |||
| Mean Deviation | 0.8096 | |||
| Semi Deviation | 0.8892 | |||
| Downside Deviation | 2.01 | |||
| Coefficient Of Variation | 1648.7 | |||
| Standard Deviation | 1.52 | |||
| Variance | 2.32 | |||
| Information Ratio | 0.0075 | |||
| Jensen Alpha | 0.0889 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0057 | |||
| Treynor Ratio | (0.91) | |||
| Maximum Drawdown | 9.25 | |||
| Value At Risk | (2.20) | |||
| Potential Upside | 4.08 | |||
| Downside Variance | 4.05 | |||
| Semi Variance | 0.7906 | |||
| Expected Short fall | (2.52) | |||
| Skewness | 1.13 | |||
| Kurtosis | 3.77 |
Warehouses De Pauw Backtested Returns
At this point, Warehouses is very steady. Warehouses De Pauw shows Sharpe Ratio of 0.0169, which attests that the company had a 0.0169 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Warehouses De Pauw, which you can use to evaluate the volatility of the company. Please check out Warehouses' Market Risk Adjusted Performance of (0.90), downside deviation of 2.01, and Mean Deviation of 0.8096 to validate if the risk estimate we provide is consistent with the expected return of 0.0251%. Warehouses has a performance score of 1 on a scale of 0 to 100. The firm maintains a market beta of -0.0905, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Warehouses are expected to decrease at a much lower rate. During the bear market, Warehouses is likely to outperform the market. Warehouses De Pauw right now maintains a risk of 1.49%. Please check out Warehouses De Pauw downside variance, as well as the relationship between the daily balance of power and period momentum indicator , to decide if Warehouses De Pauw will be following its historical returns.
Auto-correlation | -0.31 |
Poor reverse predictability
Warehouses De Pauw has poor reverse predictability. Overlapping area represents the amount of predictability between Warehouses time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Warehouses De Pauw price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Warehouses price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.67 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Based on the recorded statements, Warehouses De Pauw reported net income of 982.27 M. This is 294.35% higher than that of the Real Estate sector and significantly higher than that of the REIT—Industrial industry. The net income for all United States stocks is 72.03% lower than that of the firm.
Warehouses Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Warehouses' direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Warehouses could also be used in its relative valuation, which is a method of valuing Warehouses by comparing valuation metrics of similar companies.Warehouses is currently under evaluation in net income category among its peers.
Warehouses Fundamentals
| Return On Equity | 0.0918 | |||
| Return On Asset | 0.03 | |||
| Profit Margin | 0.89 % | |||
| Operating Margin | 0.80 % | |||
| Current Valuation | 7.2 B | |||
| Shares Outstanding | 203.98 M | |||
| Shares Owned By Insiders | 21.60 % | |||
| Shares Owned By Institutions | 35.60 % | |||
| Price To Earning | 9.44 X | |||
| Price To Book | 1.63 X | |||
| Price To Sales | 17.20 X | |||
| Revenue | 278.65 M | |||
| Gross Profit | 339.56 M | |||
| EBITDA | 1.14 B | |||
| Net Income | 982.27 M | |||
| Cash And Equivalents | 7.74 M | |||
| Cash Per Share | 0.04 X | |||
| Total Debt | 1.89 B | |||
| Debt To Equity | 0.64 % | |||
| Current Ratio | 0.35 X | |||
| Book Value Per Share | 20.95 X | |||
| Cash Flow From Operations | 223.35 M | |||
| Earnings Per Share | 4.95 X | |||
| Price To Earnings To Growth | 3.11 X | |||
| Number Of Employees | 12 | |||
| Beta | 0.37 | |||
| Market Capitalization | 6.6 B | |||
| Total Asset | 6.11 B | |||
| Z Score | 1.8 | |||
| Annual Yield | 0.03 % | |||
| Net Asset | 6.11 B | |||
| Last Dividend Paid | 1.0 |
About Warehouses Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Warehouses De Pauw's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Warehouses using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Warehouses De Pauw based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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Other Information on Investing in Warehouses Pink Sheet
Warehouses financial ratios help investors to determine whether Warehouses Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Warehouses with respect to the benefits of owning Warehouses security.