Appfolio Stock Market Value
| APPF Stock | USD 184.01 11.05 5.66% |
| Symbol | Appfolio |
Can Application Software industry sustain growth momentum? Does Appfolio have expansion opportunities? Factors like these will boost the valuation of Appfolio. If investors know Appfolio will grow in the future, the company's valuation will be higher. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Appfolio demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Quarterly Earnings Growth (0.61) | Earnings Share 3.88 | Revenue Per Share | Quarterly Revenue Growth 0.219 | Return On Assets |
The market value of Appfolio is measured differently than its book value, which is the value of Appfolio that is recorded on the company's balance sheet. Investors also form their own opinion of Appfolio's value that differs from its market value or its book value, called intrinsic value, which is Appfolio's true underlying value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Because Appfolio's market value can be influenced by many factors that don't directly affect Appfolio's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that Appfolio's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Appfolio represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, Appfolio's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Appfolio '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 Appfolio's 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 Appfolio.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in Appfolio on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding Appfolio or generate 0.0% return on investment in Appfolio over 90 days. Appfolio is related to or competes with Open Text, InterDigital, Pegasystems, Paycom Software, Nice, ZoomInfo Technologies, and Manhattan Associates. AppFolio, Inc., together with its subsidiaries, provides cloud business management solutions for the real estate industr... More
Appfolio 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 Appfolio's 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 Appfolio upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 16.26 | |||
| Value At Risk | (4.28) | |||
| Potential Upside | 3.09 |
Appfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Appfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Appfolio's standard deviation. In reality, there are many statistical measures that can use Appfolio historical prices to predict the future Appfolio's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.43) | |||
| Total Risk Alpha | (0.52) | |||
| Treynor Ratio | (0.28) |
Appfolio February 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 | (0.10) | |||
| Market Risk Adjusted Performance | (0.27) | |||
| Mean Deviation | 1.69 | |||
| Coefficient Of Variation | (665.91) | |||
| Standard Deviation | 2.42 | |||
| Variance | 5.88 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.43) | |||
| Total Risk Alpha | (0.52) | |||
| Treynor Ratio | (0.28) | |||
| Maximum Drawdown | 16.26 | |||
| Value At Risk | (4.28) | |||
| Potential Upside | 3.09 | |||
| Skewness | (0.13) | |||
| Kurtosis | 2.63 |
Appfolio Backtested Returns
Appfolio secures Sharpe Ratio (or Efficiency) of -0.22, which signifies that the company had a -0.22 % return per unit of risk over the last 3 months. Appfolio exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Appfolio's Standard Deviation of 2.42, mean deviation of 1.69, and Risk Adjusted Performance of (0.10) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.32, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Appfolio will likely underperform. At this point, Appfolio has a negative expected return of -0.49%. Please make sure to confirm Appfolio's treynor ratio, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Appfolio performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.42 |
Average predictability
Appfolio has average predictability. Overlapping area represents the amount of predictability between Appfolio time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 Appfolio price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Appfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 227.86 |
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Check out Appfolio Correlation, Appfolio Volatility and Appfolio Performance module to complement your research on Appfolio. For more detail on how to invest in Appfolio Stock please use our How to Invest in Appfolio guide.You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Appfolio 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.