BMTX Price To Sales Ratio from 2010 to 2024

BMTX Stock  USD 3.38  0.05  1.50%   
Bm Technologies Price To Sales Ratio yearly trend continues to be fairly stable with very little volatility. Price To Sales Ratio will likely drop to 0.41 in 2024. Price To Sales Ratio is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing Bm Technologies' market cap by its total sales or revenue over a 12-month period. View All Fundamentals
 
Price To Sales Ratio  
First Reported
2010-12-31
Previous Quarter
0.42942699
Current Value
0.41
Quarterly Volatility
7.61900445
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Bm Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Bm Technologies' main balance sheet or income statement drivers, such as Interest Expense of 24.3 M, Selling General Administrative of 27.1 M or Total Revenue of 58.6 M, as well as many indicators such as Price To Sales Ratio of 0.41, Dividend Yield of 0.0 or PTB Ratio of 0.73. BMTX financial statements analysis is a perfect complement when working with Bm Technologies Valuation or Volatility modules.
  
Check out the analysis of Bm Technologies Correlation against competitors.
For more information on how to buy BMTX Stock please use our How to Invest in Bm Technologies guide.

Latest Bm Technologies' Price To Sales Ratio Growth Pattern

Below is the plot of the Price To Sales Ratio of Bm Technologies over the last few years. Price to Sales Ratio is figured by comparing Bm Technologies stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Bm Technologies sales, a figure that is much harder to manipulate than other Bm Technologies multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. It is a valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period. Bm Technologies' Price To Sales Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Bm Technologies' overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 0.70 X10 Years Trend
Slightly volatile
   Price To Sales Ratio   
       Timeline  

BMTX Price To Sales Ratio Regression Statistics

Arithmetic Mean9.53
Geometric Mean4.89
Coefficient Of Variation79.98
Mean Deviation7.30
Median16.37
Standard Deviation7.62
Sample Variance58.05
Range15.957
R-Value(0.89)
Mean Square Error12.45
R-Squared0.80
Slope(1.52)
Total Sum of Squares812.69

BMTX Price To Sales Ratio History

2024 0.41
2023 0.43
2022 0.74
2021 1.15
2020 2.71
2019 3.0
2018 3.52

About Bm Technologies Financial Statements

Bm Technologies investors use historical fundamental indicators, such as Bm Technologies' Price To Sales Ratio, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Bm Technologies. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Price To Sales Ratio 0.43  0.41 

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Additional Tools for BMTX Stock Analysis

When running Bm Technologies' price analysis, check to measure Bm Technologies' 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 Bm Technologies is operating at the current time. Most of Bm Technologies' value examination focuses on studying past and present price action to predict the probability of Bm Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bm Technologies' price. Additionally, you may evaluate how the addition of Bm Technologies to your portfolios can decrease your overall portfolio volatility.