Dine Net Debt from 2010 to 2026
| DIN Stock | USD 31.73 1.43 4.31% |
Net Debt | First Reported 1990-12-31 | Previous Quarter 1.4 B | Current Value 1.4 B | Quarterly Volatility 12.5 B |
Check Dine Brands financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Dine Brands' main balance sheet or income statement drivers, such as Depreciation And Amortization of 30 M, Interest Expense of 52.7 M or Selling General Administrative of 237.5 M, as well as many indicators such as Price To Sales Ratio of 0.6, Dividend Yield of 0.0339 or Days Sales Outstanding of 41.26. Dine financial statements analysis is a perfect complement when working with Dine Brands Valuation or Volatility modules.
Dine | Net Debt | Build AI portfolio with Dine Stock |
Evaluating Dine Brands's Net Debt 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 Dine Brands Global's fundamental strength.
Latest Dine Brands' Net Debt Growth Pattern
Below is the plot of the Net Debt of Dine Brands Global over the last few years. It is the total debt of a company minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds. Dine Brands' Net Debt historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Dine Brands' overall financial position and show how it may be relating to other accounts over time.
| Net Debt | 10 Years Trend |
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Net Debt |
| Timeline |
Dine Net Debt Regression Statistics
| Arithmetic Mean | 1,327,509,176 | |
| Geometric Mean | 1,153,464,487 | |
| Coefficient Of Variation | 28.55 | |
| Mean Deviation | 218,492,446 | |
| Median | 1,332,248,000 | |
| Standard Deviation | 378,986,510 | |
| Sample Variance | 143630.8T | |
| Range | 1.7B | |
| R-Value | 0.36 | |
| Mean Square Error | 133669.4T | |
| R-Squared | 0.13 | |
| Significance | 0.16 | |
| Slope | 26,800,430 | |
| Total Sum of Squares | 2298092.4T |
Dine Net Debt History
Other Fundumenentals of Dine Brands Global
Dine Brands Net Debt component correlations
Click cells to compare fundamentals
About Dine Brands Financial Statements
Dine Brands investors utilize fundamental indicators, such as Net Debt, to predict how Dine Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Net Debt | 1.7 B | 975.5 M | |
| Net Debt To EBITDA | 6.45 | 6.13 |
Pair Trading with Dine Brands
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 Dine Brands 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 Dine Brands will appreciate offsetting losses from the drop in the long position's value.Moving together with Dine Stock
Moving against Dine Stock
| 0.85 | IH | Ihuman Inc | PairCorr |
| 0.71 | EM | Smart Share Global | PairCorr |
| 0.71 | VSTD | Vestand Symbol Change | PairCorr |
| 0.54 | DPP | DP Poland Plc | PairCorr |
| 0.48 | VENU | Venu Holding | PairCorr |
The ability to find closely correlated positions to Dine Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dine Brands 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 Dine Brands - 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 Dine Brands Global to buy it.
The correlation of Dine Brands 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 Dine Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dine Brands Global 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 Dine Brands 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.Check out the analysis of Dine Brands Correlation against competitors. You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Will Hotels, Restaurants & Leisure sector continue expanding? Could Dine diversify its offerings? Factors like these will boost the valuation of Dine Brands. Projected growth potential of Dine fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Dine Brands data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.61) | Dividend Share 2.04 | Earnings Share 2.14 | Revenue Per Share | Quarterly Revenue Growth 0.108 |
Dine Brands Global's market price often diverges from its book value, the accounting figure shown on Dine's balance sheet. Smart investors calculate Dine Brands' intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Since Dine Brands' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Dine Brands' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Dine Brands should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Dine Brands' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.