SmartRent Net Income from 2010 to 2024

SMRT Stock  USD 1.62  0.01  0.62%   
SmartRent Net Loss yearly trend continues to be comparatively stable with very little volatility. Net Loss will likely drop to about -36.3 M in 2024. From the period from 2010 to 2024, SmartRent Net Loss quarterly data regression had r-value of (0.76) and coefficient of variation of (132.86). View All Fundamentals
 
Net Loss  
First Reported
2010-12-31
Previous Quarter
-34.6 M
Current Value
-36.3 M
Quarterly Volatility
29.9 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check SmartRent financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among SmartRent's main balance sheet or income statement drivers, such as Depreciation And Amortization of 11 M, Interest Expense of 9 M or Selling General Administrative of 42.4 M, as well as many indicators such as Price To Sales Ratio of 3.99, Dividend Yield of 0.0 or PTB Ratio of 3.64. SmartRent financial statements analysis is a perfect complement when working with SmartRent Valuation or Volatility modules.
  
Check out the analysis of SmartRent Correlation against competitors.
For more information on how to buy SmartRent Stock please use our How to Invest in SmartRent guide.

Latest SmartRent's Net Income Growth Pattern

Below is the plot of the Net Income of SmartRent over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in SmartRent financial statement analysis. It represents the amount of money remaining after all of SmartRent operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is SmartRent's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in SmartRent's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported (34.59 M)10 Years Trend
Slightly volatile
   Net Income   
       Timeline  

SmartRent Net Income Regression Statistics

Arithmetic Mean(22,496,823)
Geometric Mean4,254,260
Coefficient Of Variation(132.86)
Mean Deviation23,548,078
Median(6,171,000)
Standard Deviation29,890,229
Sample Variance893.4T
Range96.7M
R-Value(0.76)
Mean Square Error402.8T
R-Squared0.58
Significance0.0009
Slope(5,095,909)
Total Sum of Squares12508T

SmartRent Net Income History

2024-36.3 M
2023-34.6 M
2022-96.3 M
2021-72 M
2020-37.1 M
2019-33.5 M
2018-6.2 M

Other Fundumenentals of SmartRent

SmartRent Net Income component correlations

About SmartRent Financial Statements

SmartRent shareholders use historical fundamental indicators, such as Net Income, to determine how well the company is positioned to perform in the future. Although SmartRent investors may analyze each financial statement separately, they are all interrelated. The changes in SmartRent's assets and liabilities, for example, are also reflected in the revenues and expenses on on SmartRent's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Net Loss-34.6 M-36.3 M
Net Loss-86.7 M-91 M
Net Loss-52.7 M-55.3 M
Net Loss(0.17)(0.18)
Net Income Per E B T 1.00  1.11 

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Additional Tools for SmartRent Stock Analysis

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