Maplebear Research Development from 2010 to 2026

CART Stock  USD 38.23  0.52  1.38%   
Maplebear's shows a recovering structural trend supported by multi-year data. Analyst models indicate potential upside toward approximately 749.7 M. Regression distribution of quarterly values from 2010 to 2026 reveals a arithmetic mean of 391,984,034 . alongside coefficient of variation of 138.01 . View All Fundamentals
 
Research Development  
 First Reported
2021-03-31
 Previous Quarter
169 M
 Current Value
168 M
 Quarterly Volatility
384.3 M
Macro event markers
 
Covid
 
Interest Hikes
Financial statement trends for Maplebear provide structured context on operating performance and capital structure. This context pairs drivers like Depreciation And Amortization of 104 M, Interest Expense of 0.0 or Selling General Administrative of 1.4 B and ratios such as Price To Sales Ratio of 4.88, Dividend Yield of 0.0 or PTB Ratio of 4.13 with Maplebear Valuation and Volatility views.
  
Build AI portfolio with Maplebear Stock
Maplebear Correlation provides competitor comparison context for Maplebear. The view supports competitor context.
Our How to Buy Maplebear Stock guide explains the steps to invest in Maplebear stock.
The evolution of Research Development for Maplebear provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how Maplebear compares to historical norms and industry peers.

Latest Maplebear's Research Development Growth Pattern

Below is the plot of the Research Development of Maplebear over the last few years. It is Maplebear's Research Development historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Maplebear's overall financial position and show how it may be relating to other accounts over time.
Research Development10 Years Trend
Slightly volatile
   Research Development   
       Timeline  

Maplebear Research Development Regression Statistics

Arithmetic Mean 391,984,034
Geometric Mean 239,154,010
Coefficient Of Variation 138.01
Mean Deviation 337,859,812
Median 127,000,000
Standard Deviation 540,991,897
Sample Variance292672.2T
Range2.2B
R-Value 0.57
Mean Square Error211388.3T
R-Squared 0.32
Significance 0.02
Slope 60,874,580
Total Sum of Squares4682755.7T

Maplebear Research Development History

2026749.7 M
2025648 M
2024604 M
20232.3 B
2022518 M
2021368 M
2020194 M

Stock Overview, Methodology & Data Sources

Carolina Trust BancShares, Inc. operates as the bank holding company for Carolina Trust Bank, a state chartered bank that provides commercial banking products and services for individuals and businesses. Carolina Trust BancShares, Inc. was founded in 2000 and is headquartered in Lincolnton, North Carolina. Carolina Trust operates under Banks - Regional - US classification in USA and is traded on Nasdaq Capital Markets. It employs 80 people. As a large-cap equity, Maplebear is reviewed for growth durability, margin stability, and risk discipline. Current metrics include P/E of 25.34, P/B of 3.6, profit margin of 11.94%. Maplebear has a market cap of 9.9 B, P/E of 25.34, ROE of 14.92%.

Methodology

Unless otherwise specified, financial data for Maplebear is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Maplebear (USA Stocks:CART) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions. Assumptions: The dataset for Maplebear incorporates public filings and market reference sources and official institutional disclosures, including U.S. Securities and Exchange Commission (SEC) via EDGAR. Some inputs may not update instantaneously. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Analyst Sources

Maplebear is covered by 31 analysts. 15 analysts have submitted revenue and/or earnings estimates that may be incorporated into Macroaxis consensus inputs where available. Representative analyst firms may include Evercore ISI, Morgan Stanley, BMO Capital Markets, Oppenheimer & Co., Guggenheim Securities, HSBC Global Research, Raymond James, Bernstein Research, Goldman Sachs, Wells Fargo Securities, among others. Updates may occur throughout the day.

This content is curated and reviewed by:

Gabriel Shpitalnik - Member of Macroaxis Editorial Board

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

Additional Tools for Maplebear Stock Analysis

Content Syndication
Quickly integrate customizable finance content to your own investment portal
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals