Find your way Market Summary What`s new AI Robots 1-on-1 lessons Help Sale

published in Blogs

Mar 05, 2019

Salesforce (CRM, $158.55) posts lower-than-expected earnings guidance for fiscal Q1, despite beating fiscal Q4 earnings estimates

Salesforce beat the fiscal fourth quarter earnings estimates, but fell shy of expectations on guidance for the next quarter.

At 70 cents per share for the three months ending January, the cloud computing/software company’s adjusted earnings overshot analysts’ expectation of 55 cents per share (based on Refinitiv data). The earnings -per-share was more than double the year-ago quarter’s figure.

Revenue for the quarter increased +26% from the year-ago quarter to touch $3.60 billion, exceeding analysts’ estimate of $3.56 billion (based on Refinitiv data). Subscription and support revenues also climbed +26% year-over-year to $3.38 billion in the quarter.

Despite the better-than-expected results for the latest quarter, what probably led to Salesforce shares slumping during Monday’s extended trading was its forecast of 60 cents to 61 cents earnings-per-share on a revenue range of $3.67 billion to $3.68 for the fiscal first quarter – figures that are lower than the 63 cents earnings per share on $3.70 billion revenue that analysts had anticipated ((based on Refinitiv data).

Nevertheless, the company’s guidance for the full fiscal year 2020 is in line with analysts’ expectations. It projects adjusted earnings of $2.74 to $2.76 per share, while analysts’ expect $2.75 per share for the year. Revenue forecast of $15.95 billion to $16.05 billion is a range covering analysts’ prediction of $15.99 billion.

Salesforce stock was down -3.3% in after-hours trading Monday, following the earnings release. It had already dropped -3.66% during the main trading session that day.

Related Tickers: CRM

Related Portfolios: APPLICATION SOFTWARE,TECHNOLOGY ETFs

John Jacques

published in Blogs

May 16, 2022

A.I. Stock Market Predictions: Head & Shoulders

Statistics for the Head-and-Shoulders Bottom Pattern The days where only hedge funds used algorithms to trade stocks are officially over. Now retail investors can use Artificial Intelligence (A.I. Here’s an example of the algorithm in action: Late last year, Tickeron’s A.I.

Edward Flores

published in Blogs

Apr 29, 2022

How to Become the Millionaire Next Door

The Golden Gate Bridge is always a fixture of these walks too, one of man's most beautiful creations. As we were walking, at one point she turned to me and said, "Man, I'll never have a million dollars."" My girlfriend is 27 years old and works as a graphic designer, making about $75,000 a year.

Sergey Savastiouk

published in Blogs

May 16, 2022

When Is the Next Recession Coming?

However, we also know that economists predicted 22 recessions out of 11 that took place since 1945. Are there real recession signs we should watch for?Indeed, the answer is yes, and here are a few very important ones: The first one is almost obvious and known to everyone – it is the Fed.

Sergey Savastiouk

published in Blogs

Mar 14, 2023

How to Start Trading Penny Stocks

Penny stocks have long been marginalized within the professional investment community, oftentimes being painted with a broad brush of simply being “too risky.” Leonardo DiCaprio’s depiction of the penny stock peddling conman, Jordan Belfort, in the Wolf of Wall Street certainly didn’t help.Here are four reasons to start trading them now. Reason #1: Let’s State the Obvious -- Penny Stocks are Cheap A single share of Apple Inc. costs over $350.

Dmitry Perepelkin

published in Blogs

Mar 14, 2023

5 Habits that Lead to Successful Investing

To consistently make money in this industry, you need emotional fortitude, an analytical mind, and a willingness to self-reflect. Despite trading and investing being two different activities, these principles can be applied to both.Conversely, investors with good habits often become great traders. Rather than full sentences for titles, we’ve labeled each of our top-five investing habits using a single word principle.

Allana

published in Blogs

Mar 23, 2023

What’s the Difference Between Data Analytics and Machine Learning?

Artificial intelligence (AI) technology is developing rapidly.Data mining can deliver raw numbers, but it does not necessarily provide actionable insights. Structure is necessary to taking abstract information and extracting commonalities, like averages, ratios, and percentages.

Sergey Savastiouk

published in Blogs

Mar 13, 2023

4 Tips for Fast, Effective Stock Analysis

With just a few clicks, an investor can search for individual stocks, categories of stocks, sectors, or investment themes, and then he or she can conduct a full range of technical and fundamental analysis within seconds.All powered by Artificial Intelligence. Below, we give you 5 tips for fast, effective stock analysis using Tickeron’s Screener.

Sergey Savastiouk

published in Blogs

Mar 20, 2023

5 Golden Principles in Investing

You have enough faith in that stock, based on research, that the return will equal or exceed the investment. Do unto others.The principles outlined here will ensure that happens. Principle #1: Diversification Investors can’t be one-dimensional when constructing a portfolio.

Sergey Savastiouk

published in Blogs

Mar 15, 2023

The five most important Lessons Learned After 10,000 hours of Trading

Edward Flores

published in Blogs

Mar 12, 2023

What's the Difference Between Tokens and Altcoins?

Between their inherently technical nature, multiple varieties and sub-varieties, and endless terminology, cryptocurrency (defined here as digital or virtual currencies that are encrypted using cryptography, powered by the immutable digital ledger known as the blockchain) represents a whole, complex world.All altcoins possess their own blockchain, independent from their source code, that records all transactions of their native coins. Many altcoins are variants, or forks, of Bitcoin that leverage that cryptocurrency’s open-source protocol as the basis.