First American Funds Fund Price To Earnings To Growth

FGXXX Fund  USD 1.00  0.00  0.00%   
First American Funds fundamentals help investors to digest information that contributes to First American's financial success or failures. It also enables traders to predict the movement of First Money Market Fund. The fundamental analysis module provides a way to measure First American's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to First American money market fund.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

First American Funds Money Market Fund Price To Earnings To Growth Analysis

First American's PEG Ratio indicates the potential value of an equity instrument and is calculated by dividing Price to Earnings (P/E) ratio into earnings growth rate. Most analysts and investors prefer this measure to a Price to Earnings (P/E) ratio because it incorporates the future growth of a firm. The low PEG ratio usually implies that an equity instrument is undervalued; whereas PEG of 1 may indicate that an equity is reasonably priced under given expectations of future growth.
Generally speaking, PEG ratio is a 'quick and dirty' way to measure how the current price of a firm's stock relates to its earnings and growth rate. The main benefit of using PEG ratio is that investors can compare the relative valuations of companies within different industries without analyzing their P/E ratios.
Based on the latest financial disclosure, First American Funds has a Price To Earnings To Growth of 0.0 times. This indicator is about the same for the average (which is currently at 0.0) family and about the same as Price To Earnings To Growth (which currently averages 0.0) category. This indicator is about the same for all United States funds average (which is currently at 0.0).

Did you try this?

Run Transaction History Now

   

Transaction History

View history of all your transactions and understand their impact on performance
All  Next Launch Module

First Fundamentals

About First American Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze First American Funds's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of First American using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of First American Funds based on its fundamental data. In general, a quantitative approach, as applied to this money market fund, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in First Money Market Fund

First American financial ratios help investors to determine whether First Money Market Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in First with respect to the benefits of owning First American security.
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like