Aurora Cannabis Stock Market Value
| ACB Stock | USD 3.56 0.03 0.84% |
| Symbol | Aurora |
Is Pharmaceuticals space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Aurora Cannabis. If investors know Aurora will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Aurora Cannabis assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Quarterly Earnings Growth (0.95) | Earnings Share (1.08) | Revenue Per Share | Quarterly Revenue Growth 0.068 | Return On Assets |
Understanding Aurora Cannabis requires distinguishing between market price and book value, where the latter reflects Aurora's accounting equity. The concept of intrinsic value - what Aurora Cannabis' is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push Aurora Cannabis' price substantially above or below its fundamental value.
Understanding that Aurora Cannabis' value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Aurora Cannabis represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, Aurora Cannabis' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Aurora Cannabis '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 Aurora Cannabis' stock 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 Aurora Cannabis.
| 11/13/2025 |
| 02/11/2026 |
If you would invest 0.00 in Aurora Cannabis on November 13, 2025 and sell it all today you would earn a total of 0.00 from holding Aurora Cannabis or generate 0.0% return on investment in Aurora Cannabis over 90 days. Aurora Cannabis is related to or competes with Alpha Teknova, Canopy Growth, Lifecore Biomedical, BioAge Labs, Ironwood Pharmaceuticals, OrganiGram Holdings, and High Tide. Aurora Cannabis Inc., together with its subsidiaries, produces, distributes, and sells cannabis and cannabis-derivative ... More
Aurora Cannabis 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 Aurora Cannabis' stock 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 Aurora Cannabis upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 30.41 | |||
| Value At Risk | (5.44) | |||
| Potential Upside | 4.36 |
Aurora Cannabis Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aurora Cannabis' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aurora Cannabis' standard deviation. In reality, there are many statistical measures that can use Aurora Cannabis historical prices to predict the future Aurora Cannabis' volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.69) | |||
| Treynor Ratio | (0.45) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aurora Cannabis' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Aurora Cannabis February 11, 2026 Technical Indicators
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| Math Transform | ||
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| Risk Adjusted Performance | (0.04) | |||
| Market Risk Adjusted Performance | (0.44) | |||
| Mean Deviation | 2.69 | |||
| Coefficient Of Variation | (1,520) | |||
| Standard Deviation | 4.01 | |||
| Variance | 16.07 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.69) | |||
| Treynor Ratio | (0.45) | |||
| Maximum Drawdown | 30.41 | |||
| Value At Risk | (5.44) | |||
| Potential Upside | 4.36 | |||
| Skewness | 1.25 | |||
| Kurtosis | 7.47 |
Aurora Cannabis Backtested Returns
Aurora Cannabis secures Sharpe Ratio (or Efficiency) of -0.0651, which signifies that the company had a -0.0651 % return per unit of risk over the last 3 months. Aurora Cannabis exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Aurora Cannabis' Risk Adjusted Performance of (0.04), standard deviation of 4.01, and Mean Deviation of 2.69 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.61, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Aurora Cannabis' returns are expected to increase less than the market. However, during the bear market, the loss of holding Aurora Cannabis is expected to be smaller as well. At this point, Aurora Cannabis has a negative expected return of -0.27%. Please make sure to confirm Aurora Cannabis' kurtosis, day median price, and the relationship between the potential upside and daily balance of power , to decide if Aurora Cannabis performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.22 |
Weak reverse predictability
Aurora Cannabis has weak reverse predictability. Overlapping area represents the amount of predictability between Aurora Cannabis time series from 13th of November 2025 to 28th of December 2025 and 28th of December 2025 to 11th of February 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 Aurora Cannabis price movement. The serial correlation of -0.22 indicates that over 22.0% of current Aurora Cannabis price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
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 Aurora Cannabis offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Aurora Cannabis' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Aurora Cannabis Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Aurora Cannabis Stock:Check out Aurora Cannabis Correlation, Aurora Cannabis Volatility and Aurora Cannabis Performance module to complement your research on Aurora Cannabis. For information on how to trade Aurora Stock refer to our How to Trade Aurora Stock guide.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.
Aurora Cannabis technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.