Ft Cboe Vest Etf Net Income
| IGLD Etf | USD 27.66 1.21 4.19% |
As of the 4th of March, FT Cboe owns the Market Risk Adjusted Performance of 1.13, standard deviation of 2.01, and Downside Deviation of 2.5. FT Cboe Vest technical analysis allows you to utilize past data patterns in order to determine a pattern that computes the direction of the entity's future prices. Please confirm FT Cboe Vest downside deviation, treynor ratio, expected short fall, as well as the relationship between the variance and potential upside to decide if FT Cboe Vest is priced fairly, providing market reflects its prevailing price of 27.66 per share.
FT Cboe's 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 FT Cboe's valuation are provided below:FT Cboe Vest does not at this moment have any fundamental measures 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. The market value of FT Cboe Vest is measured differently than its book value, which is the value of IGLD that is recorded on the company's balance sheet. Investors also form their own opinion of FT Cboe's value that differs from its market value or its book value, called intrinsic value, which is FT Cboe's true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because FT Cboe's market value can be influenced by many factors that don't directly affect FT Cboe's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between FT Cboe's value and its price as these two are different measures arrived at by different means. Investors typically determine if FT Cboe is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Meanwhile, FT Cboe's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
FT Cboe '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 FT Cboe's etf 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 FT Cboe.
| 12/04/2025 |
| 03/04/2026 |
If you would invest 0.00 in FT Cboe on December 4, 2025 and sell it all today you would earn a total of 0.00 from holding FT Cboe Vest or generate 0.0% return on investment in FT Cboe over 90 days. FT Cboe is related to or competes with WisdomTree Short, Morningstar Unconstrained, Thrivent High, Via Renewables, T Rowe, Sitka Gold, and MSCI ACWI. The fund invests in a portfolio substantially composed of short-term U.S More
FT Cboe 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 FT Cboe's etf 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 FT Cboe Vest upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.5 | |||
| Information Ratio | 0.1189 | |||
| Maximum Drawdown | 10.35 | |||
| Value At Risk | (3.79) | |||
| Potential Upside | 3.0 |
FT Cboe Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FT Cboe's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FT Cboe's standard deviation. In reality, there are many statistical measures that can use FT Cboe historical prices to predict the future FT Cboe's volatility.| Risk Adjusted Performance | 0.1134 | |||
| Jensen Alpha | 0.2672 | |||
| Total Risk Alpha | 0.1779 | |||
| Sortino Ratio | 0.0957 | |||
| Treynor Ratio | 1.12 |
FT Cboe March 4, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1134 | |||
| Market Risk Adjusted Performance | 1.13 | |||
| Mean Deviation | 1.31 | |||
| Semi Deviation | 2.04 | |||
| Downside Deviation | 2.5 | |||
| Coefficient Of Variation | 703.45 | |||
| Standard Deviation | 2.01 | |||
| Variance | 4.06 | |||
| Information Ratio | 0.1189 | |||
| Jensen Alpha | 0.2672 | |||
| Total Risk Alpha | 0.1779 | |||
| Sortino Ratio | 0.0957 | |||
| Treynor Ratio | 1.12 | |||
| Maximum Drawdown | 10.35 | |||
| Value At Risk | (3.79) | |||
| Potential Upside | 3.0 | |||
| Downside Variance | 6.26 | |||
| Semi Variance | 4.15 | |||
| Expected Short fall | (1.32) | |||
| Skewness | (0.83) | |||
| Kurtosis | 3.63 |
FT Cboe Vest Backtested Returns
FT Cboe appears to be very steady, given 3 months investment horizon. FT Cboe Vest retains Efficiency (Sharpe Ratio) of 0.14, which denotes the etf had a 0.14 % return per unit of price deviation over the last 3 months. We have found thirty technical indicators for FT Cboe, which you can use to evaluate the volatility of the entity. Please utilize FT Cboe's Downside Deviation of 2.5, standard deviation of 2.01, and Market Risk Adjusted Performance of 1.13 to check if our risk estimates are consistent with your expectations. The etf owns a Beta (Systematic Risk) of 0.25, which means not very significant fluctuations relative to the market. As returns on the market increase, FT Cboe's returns are expected to increase less than the market. However, during the bear market, the loss of holding FT Cboe is expected to be smaller as well.
Auto-correlation | 0.49 |
Average predictability
FT Cboe Vest has average predictability. Overlapping area represents the amount of predictability between FT Cboe time series from 4th of December 2025 to 18th of January 2026 and 18th of January 2026 to 4th of March 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 FT Cboe Vest price movement. The serial correlation of 0.49 indicates that about 49.0% of current FT Cboe price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.7 |
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, FT Cboe Vest reported net income of (70.83 Million). This is much lower than that of the First Trust family and significantly lower than that of the Commodities Focused category. The net income for all United States etfs is notably higher than that of the company.
IGLD Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses FT Cboe's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of FT Cboe could also be used in its relative valuation, which is a method of valuing FT Cboe by comparing valuation metrics of similar companies.FT Cboe is currently under evaluation in net income as compared to similar ETFs.
IGLD Financial Ratios Relationships
Comparative valuation techniques use various fundamental indicators to help in determining FT Cboe's current stock value. Our valuation model uses many indicators to compare FT Cboe value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across FT Cboe competition to find correlations between indicators driving FT Cboe's intrinsic value. More Info.FT Cboe Vest is considered the top ETF in price to earning as compared to similar ETFs. It also is considered the top ETF in price to book as compared to similar ETFs fabricating about 2.60 of Price To Book per Price To Earning. Comparative valuation analysis is a catch-all technique that is used if you cannot value FT Cboe by discounting back its dividends or cash flows. It compares the stock's price multiples to nearest competition to determine if the stock is relatively undervalued or overvalued.IGLD Fundamentals
| Return On Equity | -118.52 | |||
| Return On Asset | 4.28 | |||
| Current Valuation | 3.43 M | |||
| Shares Outstanding | 280.03 K | |||
| Shares Owned By Insiders | 58.81 % | |||
| Shares Owned By Institutions | 6.73 % | |||
| Number Of Shares Shorted | 2.12 K | |||
| Price To Earning | 7.43 X | |||
| Price To Book | 19.29 X | |||
| Price To Sales | 0.02 X | |||
| Revenue | 2.6 B | |||
| Gross Profit | 7.32 B | |||
| EBITDA | 824.24 M | |||
| Net Income | (70.83 M) | |||
| Cash And Equivalents | 995.21 M | |||
| Cash Per Share | 37.60 X | |||
| Total Debt | 4.56 B | |||
| Current Ratio | 0.73 X | |||
| Book Value Per Share | 0.62 X | |||
| Cash Flow From Operations | 978.19 M | |||
| Short Ratio | 1.43 X | |||
| Earnings Per Share | (2.82) X | |||
| Beta | 0.44 | |||
| Market Capitalization | 563.98 M | |||
| Total Asset | 37.62 M | |||
| Retained Earnings | (54.17 M) | |||
| Working Capital | (345 M) | |||
| Current Asset | 5.01 B | |||
| Current Liabilities | 5.35 B | |||
| One Year Return | 64.30 % | |||
| Three Year Return | 31.50 % | |||
| Net Asset | 37.62 M | |||
| Last Dividend Paid | 0.0485 |
About FT Cboe Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze FT Cboe Vest's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of FT Cboe using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of FT Cboe Vest based on its fundamental data. In general, a quantitative approach, as applied to this etf, 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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether FT Cboe Vest is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if IGLD Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Ft Cboe Vest Etf. Highlighted below are key reports to facilitate an investment decision about Ft Cboe Vest Etf:Check out You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
The market value of FT Cboe Vest is measured differently than its book value, which is the value of IGLD that is recorded on the company's balance sheet. Investors also form their own opinion of FT Cboe's value that differs from its market value or its book value, called intrinsic value, which is FT Cboe's true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because FT Cboe's market value can be influenced by many factors that don't directly affect FT Cboe's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between FT Cboe's value and its price as these two are different measures arrived at by different means. Investors typically determine if FT Cboe is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Meanwhile, FT Cboe's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.