Automatic Net Interest Income from 2010 to 2026

Stocks . USA . 
Stock . Automatic Data Processing
ADP Stock  USD 208.52  2.77  1.35%   
Automatic Data's Net Interest Income is moving in a growing direction with very volatile fluctuations. Forward projections suggest a move toward approximately -149 M. Net Interest Income is the difference between the revenue generated from a bank's interest-bearing assets and the expenses associated with paying its interest-bearing liabilities. View All Fundamentals
 
Net Interest Income  
 First Reported
2019-03-31
 Previous Quarter
-33.9 M
 Current Value
-27.3 M
 Quarterly Volatility
109.2 M
Macro event markers
 
Covid
 
Interest Hikes
Review Automatic Data financial statements over time to add context on performance and capital structure. Track Depreciation And Amortization of 319 M, Interest Expense of 550.5 M or Selling General Administrative of 4.9 B and ratios such as Price To Sales Ratio of 5.77, Dividend Yield of 0.0148 or PTB Ratio of 19.17 to align performance context with Automatic Data Valuation and Volatility.
  
Build AI portfolio with Automatic Stock
Review Automatic Data Correlation against competitors for Automatic Data. The view adds relative comparison context.
Evaluating Automatic Data's Net Interest Income across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Automatic Data Processing's fundamental strength.

Latest Automatic Data's Net Interest Income Growth Pattern

Below is the plot of the Net Interest Income of Automatic Data Processing over the last few years. It is the difference between the revenue generated from a bank's interest-bearing assets and the expenses associated with paying its interest-bearing liabilities. Automatic Data's Net Interest Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Automatic Data's overall financial position and show how it may be relating to other accounts over time.
Net Interest Income10 Years Trend
Very volatile
Compare to OthersAll Fundamentals
   Net Interest Income   
       Timeline  

Automatic Net Interest Income Regression Statistics

Arithmetic Mean 24,130,765
Coefficient Of Variation 900.79
Mean Deviation 126,145,702
Median-3,300,000
Standard Deviation 217,366,939
Sample Variance47248.4T
Range866.5M
R-Value 0.0017
Mean Square Error50398.1T
R-Squared 0.00000287
Significance 0.99
Slope 72,902
Total Sum of Squares755974.2T

Automatic Net Interest Income History

2026-149 M
2025-156.9 M
2024-136.4 M
2023-120.1 M
2022709.6 M
2021410.9 M
2020-23.2 M

Stock Overview, Methodology & Data Sources

Automatic Data Processing, Inc. provides cloud-based human capital management solutions worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. Automatic Data operates under Staffing Employment Services classification in the United States and is traded on NASDAQ Exchange. It employs 60000 people. A high-level view of Automatic Data emphasizes earnings durability, balance-sheet flexibility, and competitive positioning. Current metrics include P/E of 35.6, P/B of 13.42, profit margin of 19.96%. Automatic Data has a market cap of 83.9 B, P/E of 35.6, ROE of 73.84%.

Methodology

Unless otherwise specified, financial data for Automatic Data Processing 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. Automatic (USA Stocks:ADP) 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: Inputs are aggregated from public filings and market reference sources and public institutions such as U.S. Securities and Exchange Commission (SEC) via EDGAR. Certain values may not reflect real-time changes. 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

Automatic Data Processing is covered by 17 analysts. 8 analysts have submitted revenue and/or earnings estimates that may be incorporated into Macroaxis consensus inputs where available. Representative analyst firms may include Bernstein Research, Deutsche Bank, Morgan Stanley, BMO Capital Markets, Guggenheim Securities, Jefferies, Goldman Sachs, Evercore ISI, Raymond James, UBS Investment Research, among others. Updates may occur throughout the day.

This content is curated and reviewed by:

Ellen Johnson - Member of Macroaxis Editorial Board

Pair Trading with Automatic Data

Pair trading with Automatic Data can help investors hedge some company-specific exposure by balancing a long view with an offsetting position. The key question is whether the second leg adds real hedge value instead of just creating a more complex version of the same risk.

Moving together with Automatic Stock

  0.98ADP Automatic Data ProcessingPairCorr

Moving against Automatic Stock

  0.94CSYJF CSE Global LimitedPairCorr
  0.89WDPSF Warehouses De PauwPairCorr
  0.89KRG Kite Realty GroupPairCorr
  0.88TDY Teledyne TechnologiesPairCorr
  0.78ACSAF ACS Actividades dePairCorr
Correlation analysis helps investors find suitable substitutes for Automatic Data during tax-loss harvesting periods. Selling Automatic Data Processing at a loss and immediately repurchasing it would violate IRS wash-sale rules, so a correlated replacement asset is required to maintain portfolio.
Measuring the statistical correlation of Automatic Data Processing against other instruments helps investors understand portfolio diversification. A correlation near zero implies that Automatic Data provides genuine diversification benefits, while high positive correlations suggest redundant exposures.
Correlation analysis and pair trading evaluation for Automatic Data can be used to frame hedging context. The context can be applied within sectors, industries, or broader universes.
Pair CorrelationCorrelation Matching

Additional Tools for Automatic Stock Analysis

Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions
 
Feedback Blog
Made with optimal in San Francisco
2026 Macroaxis LLC
COMMON DESTINATIONS
MAIN CATEGORIES
COMPANY