MENU
Go to the list of all blogs
Anna G's Avatar
published in Blogs
Apr 25, 2022
SAP (SAP, $102.99) beats Q1 revenue estimates, misses earnings expectations

SAP (SAP, $102.99) beats Q1 revenue estimates, misses earnings expectations

German company SAP posted a first-quarter revenue that surpassed analysts’ expectations. Earnings, however, missed estimates.

The software company’s revenue rose + 11% from the year-ago quarter to 7.08 billion euros at constant currency, topping analysts’ expectations of 6.87 billion euros, according to a Refinitiv poll.

Revenue from the cloud and software segment increased 12% to 6.06 billion euros.

Current cloud backlog, which gauges incoming business, climbed +28% at 9.73 billion euros. The war in Ukraine subtracted the backlog growth at constant currency rates by 0.8 percentage points.

The company’s adjusted earnings came in at €1.00, falling  short of Wall Street expectations of €1.16.

SAP is anticipating a negative revenue impact of around -€300 million in 2022 from a lack of new contracts and the ending of existing business. It projects operating profit to likely fall by -€350 million in turn, with the decrease in profit steeper than the fall in sales due to winding down operations and a bad debt expense.

Related Ticker: SAP

SAP's Indicator enters downward trend

The Aroon Indicator for SAP entered a downward trend on February 13, 2026. Tickeron's A.I.dvisor identified a pattern where the AroonDown red line was above 70 while the AroonUp green line was below 30 for three straight days. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options. A.I.dvisor looked at 151 similar instances where the Aroon Indicator formed such a pattern. In of the 151 cases the stock moved lower. This puts the odds of a downward move at .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on February 27, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SAP as a result. In of 86 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .

Following a 3-day decline, the stock is projected to fall further. Considering past instances where SAP declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

Bullish Trend Analysis

The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where SAP's RSI Indicator exited the oversold zone, of 26 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 55 cases where SAP's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

The Moving Average Convergence Divergence (MACD) for SAP just turned positive on February 13, 2026. Looking at past instances where SAP's MACD turned positive, the stock continued to rise in of 49 cases over the following month. The odds of a continued upward trend are .

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SAP advanced for three days, in of 322 cases, the price rose further within the following month. The odds of a continued upward trend are .

SAP may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly undervalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (4.361) is normal, around the industry mean (10.799). P/E Ratio (27.373) is within average values for comparable stocks, (73.021). Projected Growth (PEG Ratio) (0.825) is also within normal values, averaging (1.908). Dividend Yield (0.013) settles around the average of (0.033) among similar stocks. P/S Ratio (5.330) is also within normal values, averaging (53.477).

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating well-balanced risk and returns. The average Profit vs. Risk Rating rating for the industry is 96, placing this stock slightly better than average.

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating slightly worse than average price growth. SAP’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to worse than average earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.

Notable companies

The most notable companies in this group are Salesforce (NYSE:CRM), Uber Technologies (NYSE:UBER), Shopify Inc (NASDAQ:SHOP), Intuit (NASDAQ:INTU), ServiceNow Inc. (NYSE:NOW), Adobe (NASDAQ:ADBE), Autodesk (NASDAQ:ADSK), Datadog (NASDAQ:DDOG), Workday (NASDAQ:WDAY), Zoom Communications Inc (NASDAQ:ZM).

Industry description

Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.

Market Cap

The average market capitalization across the Packaged Software Industry is 6.51B. The market cap for tickers in the group ranges from 291 to 228.82B. SAPGF holds the highest valuation in this group at 228.82B. The lowest valued company is BLGI at 291.

High and low price notable news

The average weekly price growth across all stocks in the Packaged Software Industry was 3%. For the same Industry, the average monthly price growth was -5%, and the average quarterly price growth was 13%. NMYSF experienced the highest price growth at 260%, while QH experienced the biggest fall at -91%.

Volume

The average weekly volume growth across all stocks in the Packaged Software Industry was 277%. For the same stocks of the Industry, the average monthly volume growth was -4% and the average quarterly volume growth was 87%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 54
P/E Growth Rating: 77
Price Growth Rating: 70
SMR Rating: 77
Profit Risk Rating: 95
Seasonality Score: -18 (-100 ... +100)
View a ticker or compare two or three
SAP
Daily Signal:
Gain/Loss:
Interact to see
Advertisement
A.I.Advisor
published price charts
These past five trading days, the stock lost 0.00% with an average daily volume of 0 shares traded.The stock tracked a drawdown of 0% for this period. SAP showed earnings on January 29, 2026. You can read more about the earnings report here.
A.I. Advisor
published General Information

General Information

a provider of e-business software solutions

Industry PackagedSoftware

Profile
Fundamentals
Details
Industry
Packaged Software
Address
Dietmar-Hopp-Allee 16
Phone
+49 6227747474
Employees
107602
Web
https://www.sap.com
Interact to see
Advertisement
Tickeron, a leader in AI-driven financial tools, today announced exceptional results from its AI Trading Agents, showcasing annualized returns ranging from 102% to 210% across various high-liquidity stocks and strategies.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced groundbreaking performance from its suite of AI Trading Agents. Powered by Financial Learning Models (FLMs), these agents have demonstrated exceptional returns, with top performers achieving annualized gains of up to 83% over periods ranging from 127 to 390 days.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today unveils its Top 10 Day Traders: AI Trading Robots, showcasing exceptional performance in volatile markets. Powered by advanced Financial Learning Models (FLMs), these robots integrate AI with technical analysis to deliver real-time insights for day traders.
#artificial_intelligence
Tickeron, a leader in AI-driven financial solutions, announces groundbreaking performance results for its Crypto AI Trading Robots, achieving annualized returns of up to 85% for ETH.X, 56% for OM.X, and 49% for XRP.X in 2025, powered by advanced Financial Learning Models (FLMs).
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing annualized returns as high as +84% across various stocks and portfolios.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These innovative brokerage agents provide real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing exceptional performance in real-time trading signals powered by machine learning. Utilizing tick-level brokerage data and precise trade amounts, these agents operate on 5-, 15-, and 60-minute timeframes to provide traders with actionable insights in volatile markets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These cutting-edge brokerage agents deliver real-time trading signals powered by machine learning, leveraging tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes. Designed to empower traders with superior insights, the agents have demonstrated exceptional performance, including annualized returns as high as 82%.
#artificial_intelligence
The financial markets have undergone a profound transformation in recent years, driven by the integration of artificial intelligence (AI) into trading strategies. As a financial analyst, writer, and AI specialist, one observes that AI trading agents represent a pinnacle of this evolution, blending machine learning algorithms with real-time data analysis to execute trades with unprecedented precision.
#artificial_intelligence
AI trading represents a revolutionary shift in how financial markets operate, combining artificial intelligence, machine learning, and sophisticated algorithmic trading strategies to execute trades with unprecedented precision and speed.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced exceptional trading results from its AI Trading Agent focused on Hubbell Incorporated (HUBB). The agent, operating on a 5-minute timeframe, delivered a +105% annualized return, starting from an initial balance of $100,000.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents, delivering real-time trading signals and sophisticated money management for retail and institutional traders. Powered by Financial Learning Models (FLMs) and machine learning, these agents operate across 5-, 15-, and 60-minute timeframes, achieving annualized returns of up to 145% on select portfolios.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the exceptional performance of its AI Trading Agents, achieving annualized returns of up to 162%, profitable trade percentages as high as 90.51%, and a robust profit factor across multiple assets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, proudly announces the exceptional performance of its AI Trading Agents, delivering annualized returns of up to 188% on a 5-minute timeframe.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced the launch of its advanced Pattern Search Engine (PSE), a revolutionary platform that scans 39 distinct trading patterns across stocks, penny stocks, ETFs, crypto, and forex.
#artificial_intelligence
AI trading bots represent the pinnacle of financial technology innovation, transforming how traders and investors interact with global markets.
#artificial_intelligence
As a financial analyst, writer, and AI specialist, I've always pushed for innovations that merge artificial intelligence with actionable trading tools. In the fast-paced world of modern markets, where volatility demands quick decisions, Tickeron's new "My Trades Aggregator (from AI Robots Followed)" aggregator stands out as a revolutionary feature.
#artificial_intelligence#trading
Tickeron, a leading provider of AI-driven trading solutions, is thrilled to announce the exceptional performance of its AI Trading Agents, delivering outstanding results across multiple high-profile stocks.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technologies, today announced groundbreaking results from its AI Crypto Trading Virtual Agents. These innovative tools provide real-time trading signals, integrated money management, and customizable balances, all powered by advanced machine learning algorithms operating on 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technologies, today announced the launch of its advanced AI Trading Brokerage Agents. These cutting-edge tools deliver real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence