S A P Earnings Estimate

SAP Stock  USD 306.29  0.98  0.32%   
The next projected EPS of S A P is estimated to be 1.78445 with future projections ranging from a low of 1.69525 to a high of 1.98425. S A P's most recent 12-month trailing earnings per share (EPS TTM) is at 5.67. Please be aware that the consensus of earnings estimates for SAP SE ADR is based on EPS before non-recurring items and includes expenses related to employee stock options.
 
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S A P is projected to generate 1.78445 in earnings per share on the 31st of December 2025. S A P earnings estimates show analyst consensus about projected SAP SE ADR EPS (Earning Per Share). It derives the highest and the lowest estimates based on S A P's historical volatility. Many public companies, such as S A P, manage the perception of their earnings on a regular basis to make sure that analyst estimates are accurate. Future earnings calculations are also an essential input when attempting to value a firm. By analyzing S A P's earnings estimates, investors can diagnose different trends across S A P's analyst sentiment over time as well as compare current estimates against different timeframes. At this time, S A P's Gross Profit is relatively stable compared to the past year. As of 07/23/2025, Pretax Profit Margin is likely to grow to 0.24, while Operating Profit Margin is likely to drop 0.15. Check out World Market Map to better understand how to build diversified portfolios, which includes a position in SAP SE ADR. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.

S A P Earnings Estimation Breakdown

The calculation of S A P's earning per share is based on the data from the past 12 consecutive months, used for reporting the company's financial figures. The next projected EPS of S A P is estimated to be 1.78445 with the future projection ranging from a low of 1.69525 to a high of 1.98425. Please be aware that this consensus of annual earnings estimates for SAP SE ADR is based on EPS before non-recurring items and includes expenses related to employee stock options.
Last Reported EPS
0.0
1.70
Lowest
Expected EPS
1.78445
1.98
Highest

S A P Earnings Projection Consensus

Suppose the current estimates of S A P's value are higher than the current market price of the S A P stock. In this case, investors may conclude that S A P is overpriced and will exhibit bullish sentiment. On the other hand, if the present value is lower than the stock price, analysts may conclude that the market undervalues the equity. These scenarios may suggest that the market is not as efficient as it should be at the estimation time, and S A P's stock will quickly adjusts to the new information provided by the consensus estimate.
Number of AnalystsHistorical AccuracyLast Reported EPSEstimated EPS for 31st of December 2025Current EPS (TTM)
1566.19%
0.0
1.78445
5.67

S A P Earnings History

Earnings estimate consensus by SAP SE ADR analysts from Wall Street is used by the market to judge S A P's stock performance. Investors also use these earnings estimates to evaluate and project the stock performance into the future in order to make their investment decisions. However, we recommend analyzing not only S A P's upcoming profit reports and earnings-per-share forecasts but also comparing them to our different valuation methods.

S A P Quarterly Gross Profit

6.61 Billion

At this time, S A P's Retained Earnings are relatively stable compared to the past year. As of 07/23/2025, Price Earnings Ratio is likely to grow to 92.61, while Earnings Yield is likely to drop 0.01. As of 07/23/2025, Net Income Applicable To Common Shares is likely to grow to about 3.4 B, while Common Stock Shares Outstanding is likely to drop slightly above 970.5 M.
Hype
Prediction
LowEstimatedHigh
305.97307.31308.65
Details
Intrinsic
Valuation
LowRealHigh
275.66327.03328.37
Details
Naive
Forecast
LowNextHigh
305.88307.22308.55
Details
16 Analysts
Consensus
LowTargetHigh
301.16330.95367.35
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as S A P. Your research has to be compared to or analyzed against S A P's peers to derive any actionable benefits. When done correctly, S A P's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in SAP SE ADR. Note that many institutional investors and large investment bankers can move markets due to the volume of SAP assets they manage. They also follow analysts to some degree and often drive overall investor sentiments towards S A P. With so many stockholders watching consensus numbers, the difference between actual and projected earnings is one of the most critical factors driving S A P's stock price in the short term.

S A P Earnings per Share Projection vs Actual

Actual Earning per Share of S A P refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering SAP SE ADR predict the company's earnings will be in the future. The higher the earnings per share of S A P, the better is its profitability. While calculating the Earning per Share, we use the weighted ratio, as the number of shares outstanding can change over time.

S A P Estimated Months Earnings per Share

For an investor who is primarily interested in generating an income out of investing in entities such as S A P, the EPS ratio can tell if the company is intending to increase its current dividend. Although EPS is an essential tool for investors, it should not be used in isolation. EPS of S A P should always be considered in relation to other companies to make a more educated investment decision.

SAP Quarterly Analyst Estimates and Surprise Metrics

Earnings surprises can significantly impact S A P's stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
Reported
Fiscal Date
Estimated EPS
Reported EPS
Surprise
null
nullnullnullnull
2025-07-22
2025-06-301.691.76060.0706
2025-04-21
2025-03-311.231.740.5141 
2025-01-28
2024-12-311.491.47-0.02
2024-10-21
2024-09-301.11.340.2421 
2024-07-22
2024-06-301.081.20.1211 
2024-04-22
2024-03-310.72-0.76-1.48205 
2024-01-23
2023-12-311.741.53-0.2112 
2023-10-18
2023-09-301.511.530.02
2023-07-20
2023-06-301.310.69-0.6247 
2023-04-21
2023-03-311.161.180.02
2023-01-26
2022-12-311.51.09-0.4127 
2022-10-25
2022-09-301.251.11-0.1411 
2022-07-21
2022-06-301.070.98-0.09
2022-04-22
2022-03-311.271.08-0.1914 
2022-01-27
2021-12-311.912.10.19
2021-10-12
2021-09-301.572.010.4428 
2021-07-21
2021-06-301.472.060.5940 
2021-04-22
2021-03-311.171.680.5143 
2021-01-29
2020-12-311.882.050.17
2020-10-25
2020-09-301.492.010.5234 
2020-07-27
2020-06-301.271.380.11
2020-04-21
2020-03-311.020.92-0.1
2020-01-28
2019-12-311.912.010.1
2019-10-21
2019-09-301.361.450.09
2019-07-18
2019-06-301.231.22-0.01
2019-04-24
2019-03-310.941.010.07
2019-01-29
2018-12-311.811.73-0.08
2018-10-18
2018-09-301.261.310.05
2018-07-18
2018-06-301.161.14-0.02
2018-04-24
2018-03-310.890.890.0
2018-01-30
2017-12-311.852.190.3418 
2017-10-19
2017-09-301.171.20.03
2017-07-20
2017-06-301.051.090.04
2017-04-25
2017-03-310.780.80.02
2017-01-24
2016-12-311.561.630.07
2016-10-21
2016-09-301.060.99-0.07
2016-07-20
2016-06-301.010.9-0.1110 
2016-04-20
2016-03-310.790.72-0.07
2016-01-22
2015-12-311.521.51-0.01
2015-10-20
2015-09-301.011.110.1
2015-07-21
2015-06-300.920.87-0.05
2015-04-21
2015-03-310.690.63-0.06
2015-01-20
2014-12-311.541.52-0.02
2014-10-20
2014-09-301.111.07-0.04
2014-07-17
2014-06-301.051.070.02
2014-04-17
2014-03-310.80.77-0.03
2014-01-21
2013-12-311.71.740.04
2013-10-21
2013-09-301.051.070.02
2013-07-18
2013-06-300.980.96-0.02
2013-04-19
2013-03-310.760.75-0.01
2013-01-23
2012-12-311.531.51-0.02
2012-10-24
2012-09-300.940.91-0.03
2012-07-24
2012-06-300.890.85-0.04
2012-04-25
2012-03-310.670.65-0.02
2012-01-25
2011-12-311.381.40.02
2011-10-26
2011-09-300.851.00.1517 
2011-07-26
2011-06-300.810.860.05
2011-04-28
2011-03-310.660.64-0.02
2011-01-26
2010-12-311.161.270.11
2010-10-27
2010-09-300.660.70.04
2010-07-27
2010-06-300.590.60.01
2010-04-28
2010-03-310.520.49-0.03
2010-01-27
2009-12-310.940.940.0
2009-10-28
2009-09-300.580.610.03
2009-07-29
2009-06-300.490.570.0816 
2009-04-29
2009-03-310.380.29-0.0923 
2009-01-28
2008-12-310.971.030.06
2008-10-27
2008-09-300.590.51-0.0813 
2008-07-29
2008-06-300.650.650.0
2008-04-30
2008-03-310.470.45-0.02
2008-01-30
2007-12-310.920.950.03
2007-10-18
2007-09-300.470.510.04
2007-07-19
2007-06-300.430.510.0818 
2007-04-19
2007-03-310.360.370.01
2007-01-24
2006-12-310.790.870.0810 
2006-10-19
2006-09-300.390.410.02
2006-07-20
2006-06-300.370.440.0718 
2006-04-20
2006-03-310.30.320.02
2006-01-25
2005-12-310.620.640.02
2005-10-20
2005-09-300.340.33-0.01
2005-07-21
2005-06-300.310.28-0.03
2005-04-21
2005-03-310.260.270.01
2005-01-26
2004-12-310.550.580.03
2004-10-21
2004-09-300.290.310.02
2004-07-22
2004-06-300.280.27-0.01
2004-04-22
2004-03-310.230.22-0.01
2004-01-22
2003-12-310.440.490.0511 
2003-10-16
2003-09-300.20.240.0420 
2003-07-17
2003-06-300.20.230.0315 
2003-04-17
2003-03-310.120.170.0541 
2003-01-30
2002-12-310.320.440.1237 
2002-10-17
2002-09-300.110.180.0763 
2002-07-18
2002-06-300.140.140.0
2002-04-18
2002-03-310.10.08-0.0220 
2002-01-23
2001-12-310.210.280.0733 
2001-10-18
2001-09-300.060.070.0116 
2001-07-19
2001-06-300.060.170.11183 
2001-04-19
2001-03-310.030.10.07233 
2001-01-23
2000-12-310.10.280.18180 
2000-10-19
2000-09-300.030.080.05166 
2000-07-25
2000-06-300.120.11-0.01
2000-04-19
2000-03-310.090.03-0.0666 
2000-01-25
1999-12-310.150.150.0
1999-10-21
1999-09-300.090.03-0.0666 
1999-07-21
1999-06-300.130.12-0.01
1999-04-22
1999-03-310.060.090.0350 
1999-01-26
1998-12-310.20.19-0.01
1998-10-22
1998-09-300.090.10.0111 
1998-05-26
1998-03-310.070.080.0114 
1998-02-18
1997-12-310.30.21-0.0930 
1997-11-15
1997-09-300.080.07-0.0112 
1997-08-15
1997-06-300.10.120.0220 

About S A P Earnings Estimate

The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of S A P earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current S A P estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as S A P fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
Please read more on our stock advisor page.
Last ReportedProjected for Next Year
Retained Earnings42.9 B45.1 B
Earnings Yield 0.01  0.01 
Price Earnings Ratio 88.20  92.61 
Price Earnings To Growth Ratio 46.39  48.71 

Pair Trading with S A P

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if S A P position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in S A P will appreciate offsetting losses from the drop in the long position's value.

Moving together with SAP Stock

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The ability to find closely correlated positions to S A P could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace S A P when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back S A P - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling SAP SE ADR to buy it.
The correlation of S A P is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as S A P moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SAP SE ADR moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for S A P can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for SAP Stock Analysis

When running S A P's price analysis, check to measure S A P's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy S A P is operating at the current time. Most of S A P's value examination focuses on studying past and present price action to predict the probability of S A P's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move S A P's price. Additionally, you may evaluate how the addition of S A P to your portfolios can decrease your overall portfolio volatility.