Sps Commerce Stock Alpha and Beta Analysis
| SPSC Stock | USD 192.57 0.76 0.39% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as SPS Commerce. It also helps investors analyze the systematic and unsystematic risks associated with investing in SPS Commerce over a specified time horizon. Remember, high SPS Commerce's alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to SPS Commerce's market risk premium analysis include:
Beta 1.96 | Alpha (0.25) | Risk 2.15 | Sharpe Ratio 0.0162 | Expected Return 0.0348 |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
SPS |
SPS Commerce Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. SPS Commerce market risk premium is the additional return an investor will receive from holding SPS Commerce long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in SPS Commerce. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate SPS Commerce's performance over market.| α | -0.25 | β | 1.96 |
SPS Commerce expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of SPS Commerce's Buy-and-hold return. Our buy-and-hold chart shows how SPS Commerce performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.SPS Commerce Market Price Analysis
Market price analysis indicators help investors to evaluate how SPS Commerce stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SPS Commerce shares will generate the highest return on investment. By understating and applying SPS Commerce stock market price indicators, traders can identify SPS Commerce position entry and exit signals to maximize returns.
SPS Commerce Return and Market Media
The median price of SPS Commerce for the period between Sat, Aug 31, 2024 and Fri, Nov 29, 2024 is 190.32 with a coefficient of variation of 4.65. The daily time series for the period is distributed with a sample standard deviation of 8.73, arithmetic mean of 187.85, and mean deviation of 6.73. The Stock received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Disposition of 2501 shares by James Frome of SPS Commerce at 183.1411 subject to Rule 16b-3 | 09/06/2024 |
2 | Trust Point Inc. Sells 92 Shares of SPS Commerce, Inc. | 10/18/2024 |
3 | SPS Commerce Inc Trading Down 8.9 percent on Oct 25 | 10/25/2024 |
4 | Needham Company LLC Reiterates Buy Rating for SPS Commerce | 10/28/2024 |
5 | Is SPS Commerce a Solid Growth Stock 3 Reasons to Think Yes | 10/30/2024 |
6 | Disposition of 2395 shares by Chad Collins of SPS Commerce at 171.3082 subject to Rule 16b-3 | 11/05/2024 |
7 | Is SPS Commerce, Inc. Potentially Undervalued | 11/08/2024 |
8 | SPS Commerce Named to Forbes Americas Best Companies 2024 | 11/13/2024 |
9 | SPS Commerce Inc Trading 3.13 percent Higher on Nov 21 | 11/21/2024 |
10 | Slower customer growth tempers Piper Sandlers view on SPS Commerce stock | 11/25/2024 |
About SPS Commerce Beta and Alpha
For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including SPS or other stocks. Alpha measures the amount that position in SPS Commerce has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
| 2021 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 15.81 | 13.6 | 24.54 | 12.66 | Days Of Inventory On Hand | 123.43 | 125.8 | 113.22 | 82.49 |
SPS Commerce Upcoming Company Events
As portrayed in its financial statements, the presentation of SPS Commerce's financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, SPS Commerce's leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of SPS Commerce's public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of SPS Commerce. Please utilize our Beneish M Score to check the likelihood of SPS Commerce's management manipulating its earnings.
| 8th of February 2024 Upcoming Quarterly Report | View | |
| 24th of April 2024 Next Financial Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View | |
| 8th of February 2024 Next Fiscal Year End | View | |
| 30th of September 2023 Last Quarter Report | View | |
| 31st of December 2022 Last Financial Announcement | View |
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Check out SPS Commerce Backtesting, SPS Commerce Valuation, SPS Commerce Correlation, SPS Commerce Hype Analysis, SPS Commerce Volatility, SPS Commerce History and analyze SPS Commerce Performance. For information on how to trade SPS Stock refer to our How to Trade SPS Stock guide.You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
SPS Commerce 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.