Innospec Net Tangible Assets from 2010 to 2026
| IOSP Stock | USD 88.42 0.69 0.79% |
Net Tangible Assets | First Reported 2011-06-30 | Previous Quarter 671.1 M | Current Value 684.9 M | Quarterly Volatility 242.3 M |
Check Innospec financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Innospec's main balance sheet or income statement drivers, such as Depreciation And Amortization of 30.9 M, Interest Expense of 4 M or Selling General Administrative of 379.2 M, as well as many indicators such as Price To Sales Ratio of 0.76, Dividend Yield of 0.0096 or PTB Ratio of 1.33. Innospec financial statements analysis is a perfect complement when working with Innospec Valuation or Volatility modules.
Innospec | Net Tangible Assets | Build AI portfolio with Innospec Stock |
Evaluating Innospec's Net Tangible Assets across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Innospec's fundamental strength.
Latest Innospec's Net Tangible Assets Growth Pattern
Below is the plot of the Net Tangible Assets of Innospec over the last few years. It is the total assets of a company minus any intangible assets such as patents, copyrights, and goodwill; it represents the physical assets of a company. Innospec's Net Tangible Assets historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Innospec's overall financial position and show how it may be relating to other accounts over time.
| Net Tangible Assets | 10 Years Trend |
|
Net Tangible Assets |
| Timeline |
Innospec Net Tangible Assets Regression Statistics
| Arithmetic Mean | 383,548,618 | |
| Geometric Mean | 292,071,328 | |
| Coefficient Of Variation | 65.34 | |
| Mean Deviation | 227,204,419 | |
| Median | 323,800,000 | |
| Standard Deviation | 250,610,454 | |
| Sample Variance | 62805.6T | |
| Range | 707.1M | |
| R-Value | 0.94 | |
| Mean Square Error | 8237.2T | |
| R-Squared | 0.88 | |
| Slope | 46,477,162 | |
| Total Sum of Squares | 1004889.6T |
Innospec Net Tangible Assets History
About Innospec Financial Statements
Innospec shareholders use historical fundamental indicators, such as Net Tangible Assets, to determine how well the company is positioned to perform in the future. Although Innospec investors may analyze each financial statement separately, they are all interrelated. The changes in Innospec's assets and liabilities, for example, are also reflected in the revenues and expenses on on Innospec's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Net Tangible Assets | 729.3 M | 765.8 M |
Pair Trading with Innospec
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Innospec position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Innospec will appreciate offsetting losses from the drop in the long position's value.Moving together with Innospec Stock
Moving against Innospec Stock
| 0.85 | NANO | Nano One Materials | PairCorr |
| 0.8 | UT8 | Uber Technologies | PairCorr |
| 0.8 | J9I0 | 5E ADVANCED MATERIALS | PairCorr |
| 0.57 | NEU | NewMarket | PairCorr |
| 0.51 | LWLG | Lightwave Logic | PairCorr |
The ability to find closely correlated positions to Innospec could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Innospec when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Innospec - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Innospec to buy it.
The correlation of Innospec is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Innospec moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Innospec moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Innospec can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Innospec Stock Analysis
When running Innospec's price analysis, check to measure Innospec'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 Innospec is operating at the current time. Most of Innospec's value examination focuses on studying past and present price action to predict the probability of Innospec's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Innospec's price. Additionally, you may evaluate how the addition of Innospec to your portfolios can decrease your overall portfolio volatility.