Serve Short Long Term Debt Total from 2010 to 2024

SERV Stock  USD 8.46  0.28  3.20%   
Serve Robotics Short and Long Term Debt Total yearly trend continues to be fairly stable with very little volatility. Short and Long Term Debt Total is likely to outpace its year average in 2024. During the period from 2010 to 2024, Serve Robotics Short and Long Term Debt Total regression line of quarterly data had mean square error of 752.9 B and geometric mean of  7,003,740. View All Fundamentals
 
Short and Long Term Debt Total  
First Reported
2010-12-31
Previous Quarter
4.4 M
Current Value
4.7 M
Quarterly Volatility
M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Serve Robotics financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Serve Robotics' main balance sheet or income statement drivers, such as Tax Provision of 0.0, Depreciation And Amortization of 2 M or Interest Expense of 2.4 M, as well as many indicators such as Price To Sales Ratio of 6.8 K, Dividend Yield of 0.0 or Days Sales Outstanding of 4.94. Serve financial statements analysis is a perfect complement when working with Serve Robotics Valuation or Volatility modules.
  
Check out the analysis of Serve Robotics Correlation against competitors.

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Additional Tools for Serve Stock Analysis

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