| LQWD Stock | | | 1.32 0.13 8.97% |
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out
Correlation Analysis to better understand how to build diversified portfolios, which includes a position in LQwD FinTech Corp. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in unemployment.
At this time, LQwD FinTech's
Net Working Capital is fairly stable compared to the past year.
Change In Working Capital is likely to climb to about 78.8
K in 2024, whereas
Capital Stock is likely to drop slightly above 43.1
M in 2024. At this time, LQwD FinTech's
Interest Expense is fairly stable compared to the past year.
Selling General Administrative is likely to climb to about 1.4
M in 2024, whereas
Net Interest Income is likely to drop 516.80 in 2024.
LQwD FinTech Corp Company Z Score Analysis
LQwD FinTech's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
|
| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
|
| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
|
| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
|
| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
|
LQwD Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for LQwD FinTech is extremely important. It helps to project a fair market value of LQwD Stock properly, considering its historical
fundamentals such as Z Score. Since LQwD FinTech's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of LQwD FinTech's historical
financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of LQwD FinTech's interrelated accounts and indicators.
Click cells to compare fundamentals
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
Based on the company's disclosures, LQwD FinTech Corp has a Z Score of 0.0. This is 100.0% lower than that of the Software sector and about the same as
Information Technology (which currently averages 0.0) industry. The z score for all Canada stocks is 100.0% higher than that of the company.
| | Odds Of BankruptcyGet analysis of equity chance of financial distress in the next 2 years |
LQwD Fundamentals
About LQwD FinTech Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze LQwD FinTech Corp's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of LQwD FinTech using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of LQwD FinTech Corp 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.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Additional Tools for LQwD Stock Analysis
When running LQwD FinTech's price analysis, check to
measure LQwD FinTech'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 LQwD FinTech is operating at the current time. Most of LQwD FinTech's value examination focuses on studying past and present price action to
predict the probability of LQwD FinTech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move LQwD FinTech's price. Additionally, you may evaluate how the addition of LQwD FinTech to your portfolios can decrease your overall portfolio volatility.