Hyperscale Data, Stock Performance
| GPUS-PD Stock | 9.50 0.40 4.40% |
The company retains a Market Volatility (i.e., Beta) of 0.6, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Hyperscale Data,'s returns are expected to increase less than the market. However, during the bear market, the loss of holding Hyperscale Data, is expected to be smaller as well. At this point, Hyperscale Data, has a negative expected return of -1.31%. Please make sure to check out Hyperscale Data,'s value at risk, skewness, and the relationship between the maximum drawdown and potential upside , to decide if Hyperscale Data, performance from the past will be repeated at some point in the near future.
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Over the last 90 days Hyperscale Data, has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of sluggish performance in the last few months, the Stock's fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for the firm shareholders. ...more
Dividend Date 2024-11-12 |
1 | Could Hyperscale Datas Data Center Focus Make It a Major Player in AI - Yahoo Finance | 12/26/2024 |
2 | Hyperscale Data secures 860K in preferred stock sale - Investing.com | 01/08/2025 |
| Hyperscale Data, dividend paid on 10th of January 2025 | 01/10/2025 |
3 | Veteran analyst makes surprising pivot on AMD stock after earnings shock - TheStreet | 02/06/2025 |
| Hyperscale Data, dividend paid on 10th of February 2025 | 02/10/2025 |
4 | Hyperscale Data Declares Monthly Cash Dividend of 0.2708333 Per Share of 13.00 percent Series D Cumulative Redeemable Perpetual Preferred Stock - Yahoo Finance | 02/18/2025 |
5 | Can Hyperscale Datas Massive 340MW Michigan Facility Become an AI Computing Powerhouse - StockTitan | 02/27/2025 |
6 | Hyperscale Data Announces Mixed Dividend News 13 percent Series D Continues While Series E Deferred - StockTitan | 03/20/2025 |
Hyperscale |
Hyperscale Data, Relative Risk vs. Return Landscape
If you would invest 2,408 in Hyperscale Data, on December 22, 2024 and sell it today you would lose (1,458) from holding Hyperscale Data, or give up 60.55% of portfolio value over 90 days. Hyperscale Data, is generating negative expected returns and assumes 6.3045% volatility on return distribution over the 90 days horizon. Simply put, 56% of stocks are less volatile than Hyperscale, and 99% of all equity instruments are likely to generate higher returns than the company over the next 90 trading days. Expected Return |
| Risk |
Hyperscale Data, Market Risk Analysis
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hyperscale Data,'s investment risk. Standard deviation is the most common way to measure market volatility of stocks, such as Hyperscale Data,, and traders can use it to determine the average amount a Hyperscale Data,'s price has deviated from the expected return over a period of time. It is calculated by determining the expected price for the established period and then subtracting this figure from each price point. The differences are then squared, summed, and averaged to produce the variance.
Sharpe Ratio = -0.2079
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | GPUS-PD |
Estimated Market Risk
| 6.3 actual daily | 56 56% of assets are less volatile |
Expected Return
| -1.31 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.21 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Hyperscale Data, 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 Hyperscale Data, by adding Hyperscale Data, to a well-diversified portfolio.
Hyperscale Data, Fundamentals Growth
Hyperscale Stock prices reflect investors' perceptions of the future prospects and financial health of Hyperscale Data,, and Hyperscale Data, fundamentals are critical determinants of its market performance. Overall, investors pay close attention to revenue and earnings growth, profit margins, and debt levels. These fundamentals can have a significant impact on Hyperscale Stock performance.
| Return On Equity | -2.09 | ||||
| Return On Asset | -0.12 | ||||
| Profit Margin | (0.99) % | ||||
| Operating Margin | (0.67) % | ||||
| Current Valuation | 1.09 B | ||||
| Revenue | 154.19 M | ||||
| EBITDA | (38.33 M) | ||||
| Book Value Per Share | 0.74 X | ||||
About Hyperscale Data, Performance
By analyzing Hyperscale Data,'s fundamental ratios, stakeholders can gain valuable insights into Hyperscale Data,'s financial health, operational efficiency, and overall profitability, helping them make informed investment and management decisions. For instance, if Hyperscale Data, has a high ROA and ROE, it suggests that the company is efficiently using its assets and equity to generate substantial profits, making it an attractive investment. Conversely, if Hyperscale Data, has a low ROA and ROE, it may indicate underlying issues in asset and equity management, signaling a need for operational improvements.
Hyperscale Data, is entity of United States. It is traded as Stock on NYSE ARCA exchange.Things to note about Hyperscale Data, performance evaluation
Checking the ongoing alerts about Hyperscale Data, for important developments is a great way to find new opportunities for your next move. Stock alerts and notifications screener for Hyperscale Data, help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.| Hyperscale Data, generated a negative expected return over the last 90 days | |
| Hyperscale Data, has high historical volatility and very poor performance | |
| Hyperscale Data, has high likelihood to experience some financial distress in the next 2 years | |
| On 10th of February 2025 Hyperscale Data, paid 0.2708 per share dividend to its current shareholders | |
| Latest headline from news.google.com: Hyperscale Data Announces Mixed Dividend News 13 percent Series D Continues While Series E Deferred - StockTitan |
- Analyzing Hyperscale Data,'s financial statements, including its income statement, balance sheet, and cash flow statement, helps in understanding its overall financial health and growth potential.
- Getting a closer look at valuation ratios like price-to-earnings (P/E) ratio, price-to-sales (P/S) ratio, and price-to-book (P/B) ratio help in understanding whether Hyperscale Data,'s stock is overvalued or undervalued compared to its peers.
- Examining Hyperscale Data,'s industry or sector and how it is performing can give you an idea of its growth potential and how it is positioned relative to its competitors.
- Evaluating Hyperscale Data,'s management team can have a significant impact on its success or failure. Reviewing the track record and experience of Hyperscale Data,'s management team can help you assess the Company's leadership.
- Pay attention to analyst opinions and ratings of Hyperscale Data,'s stock. These opinions can provide insight into Hyperscale Data,'s potential for growth and whether the stock is currently undervalued or overvalued.
Complementary Tools for Hyperscale Stock analysis
When running Hyperscale Data,'s price analysis, check to measure Hyperscale Data,'s 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 Hyperscale Data, is operating at the current time. Most of Hyperscale Data,'s value examination focuses on studying past and present price action to predict the probability of Hyperscale Data,'s future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hyperscale Data,'s price. Additionally, you may evaluate how the addition of Hyperscale Data, to your portfolios can decrease your overall portfolio volatility.
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