New York Earnings Estimate

NYT Stock  USD 48.89  1.07  2.24%   
The next projected EPS of New York is estimated to be 0.3384 with future projections ranging from a low of 0.323 to a high of 0.3546. New York's most recent 12-month trailing earnings per share (EPS TTM) is at 1.77. Please be aware that the consensus of earnings estimates for New York Times is based on EPS before non-recurring items and includes expenses related to employee stock options.
 
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New York is projected to generate 0.3384 in earnings per share on the 31st of March 2025. New York earnings estimates show analyst consensus about projected New York Times EPS (Earning Per Share). It derives the highest and the lowest estimates based on New York's historical volatility. Many public companies, such as New York, 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.

New York Revenue Breakdown by Earning Segment

By analyzing New York's earnings estimates, investors can diagnose different trends across New York's analyst sentiment over time as well as compare current estimates against different timeframes. Gross Profit is likely to gain to about 1.4 B in 2025, whereas Pretax Profit Margin is likely to drop 0.10 in 2025.
  
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in New York Times. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in manufacturing.

New York Earnings Estimation Breakdown

The calculation of New York'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 New York is estimated to be 0.3384 with the future projection ranging from a low of 0.323 to a high of 0.3546. Please be aware that this consensus of annual earnings estimates for New York Times is based on EPS before non-recurring items and includes expenses related to employee stock options.
Last Reported EPS
0.8
0.32
Lowest
Expected EPS
0.3384
0.35
Highest

New York Earnings Projection Consensus

Suppose the current estimates of New York's value are higher than the current market price of the New York stock. In this case, investors may conclude that New York 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 New York's stock will quickly adjusts to the new information provided by the consensus estimate.
Number of AnalystsHistorical AccuracyLast Reported EPSEstimated EPS for 31st of March 2025Current EPS (TTM)
1078.05%
0.8
0.3384
1.77

New York Earnings History

Earnings estimate consensus by New York Times analysts from Wall Street is used by the market to judge New York'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 New York's upcoming profit reports and earnings-per-share forecasts but also comparing them to our different valuation methods.

New York Quarterly Gross Profit

388.6 Million

At this time, New York's Earnings Yield is comparatively stable compared to the past year. Price Earnings Ratio is likely to gain to 38.83 in 2025, whereas Retained Earnings are likely to drop slightly above 1.5 B in 2025. Common Stock Shares Outstanding is likely to drop to about 130.7 M in 2025. Net Income Applicable To Common Shares is likely to drop to about 115.3 M in 2025.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of New York's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
47.1149.0350.95
Details
Intrinsic
Valuation
LowRealHigh
44.0054.0956.01
Details
Naive
Forecast
LowNextHigh
48.0950.0251.94
Details
9 Analysts
Consensus
LowTargetHigh
52.7858.0064.38
Details
Note that many institutional investors and large investment bankers can move markets due to the volume of New assets they manage. They also follow analysts to some degree and often drive overall investor sentiments towards New York. With so many stockholders watching consensus numbers, the difference between actual and projected earnings is one of the most critical factors driving New York's stock price in the short term.

New York Earnings per Share Projection vs Actual

Actual Earning per Share of New York refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering New York Times predict the company's earnings will be in the future. The higher the earnings per share of New York, 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.

New York Estimated Months Earnings per Share

For an investor who is primarily interested in generating an income out of investing in entities such as New York, 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 New York should always be considered in relation to other companies to make a more educated investment decision.

New Quarterly Analyst Estimates and Surprise Metrics

Earnings surprises can significantly impact New York'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
2025-02-05
2024-12-310.75280.80.0472
2024-11-04
2024-09-300.410.450.04
2024-08-07
2024-06-300.40.450.0512 
2024-05-08
2024-03-310.20.310.1155 
2024-02-07
2023-12-310.580.70.1220 
2023-11-08
2023-09-300.290.370.0827 
2023-08-08
2023-06-300.210.380.1780 
2023-05-10
2023-03-310.170.190.0211 
2023-02-08
2022-12-310.430.590.1637 
2022-11-02
2022-09-300.130.210.0861 
2022-08-03
2022-06-300.190.240.0526 
2022-05-04
2022-03-310.180.190.01
2022-02-02
2021-12-310.350.430.0822 
2021-11-03
2021-09-300.20.230.0315 
2021-08-04
2021-06-300.270.360.0933 
2021-05-05
2021-03-310.140.260.1285 
2021-02-04
2020-12-310.350.40.0514 
2020-11-05
2020-09-300.110.220.11100 
2020-08-05
2020-06-300.010.180.171700 
2020-05-06
2020-03-310.10.170.0770 
2020-02-06
2019-12-310.290.430.1448 
2019-11-06
2019-09-300.10.120.0220 
2019-08-07
2019-06-300.150.170.0213 
2019-05-08
2019-03-310.10.20.1100 
2019-02-06
2018-12-310.280.320.0414 
2018-11-01
2018-09-300.110.150.0436 
2018-08-08
2018-06-300.150.170.0213 
2018-05-03
2018-03-310.150.170.0213 
2018-02-08
2017-12-310.290.390.134 
2017-11-01
2017-09-300.080.130.0562 
2017-07-27
2017-06-300.140.180.0428 
2017-05-03
2017-03-310.070.110.0457 
2017-02-02
2016-12-310.240.30.0625 
2016-11-02
2016-09-300.040.060.0250 
2016-07-28
2016-06-300.110.110.0
2016-05-03
2016-03-310.080.10.0225 
2016-02-04
2015-12-310.30.370.0723 
2015-10-29
2015-09-300.060.090.0350 
2015-08-06
2015-06-300.110.130.0218 
2015-04-30
2015-03-310.080.110.0337 
2015-02-03
2014-12-310.240.260.02
2014-10-30
2014-09-300.240.03-0.2187 
2014-07-29
2014-06-300.090.07-0.0222 
2014-04-24
2014-03-310.030.070.04133 
2014-02-06
2013-12-310.160.260.162 
2013-10-31
2013-09-30-0.04-0.010.0375 
2013-08-01
2013-06-300.120.140.0216 
2013-04-25
2013-03-310.040.040.0
2013-02-07
2012-12-310.310.320.01
2012-10-25
2012-09-300.080.03-0.0562 
2012-07-26
2012-06-300.130.140.01
2012-04-19
2012-03-310.020.080.06300 
2012-02-02
2011-12-310.410.450.04
2011-10-20
2011-09-300.040.050.0125 
2011-07-21
2011-06-300.090.140.0555 
2011-04-21
2011-03-310.020.020.0
2011-02-03
2010-12-310.340.460.1235 
2010-10-19
2010-09-300.050.070.0240 
2010-07-22
2010-06-300.130.180.0538 
2010-04-22
2010-03-310.060.110.0583 
2010-02-10
2009-12-310.380.440.0615 
2009-10-22
2009-09-30-0.010.160.171700 
2009-07-23
2009-06-30-0.040.080.12300 
2009-04-21
2009-03-31-0.04-0.43-0.39975 
2009-01-28
2008-12-310.270.360.0933 
2008-10-23
2008-09-300.040.060.0250 
2008-07-23
2008-06-300.220.250.0313 
2008-04-17
2008-03-310.140.09-0.0535 
2008-01-31
2007-12-310.480.44-0.04
2007-10-23
2007-09-300.050.10.05100 
2007-07-25
2007-06-300.310.29-0.02
2007-04-19
2007-03-310.180.20.0211 
2007-01-31
2006-12-310.460.560.121 
2006-10-19
2006-09-300.120.130.01
2006-07-18
2006-06-300.440.460.02
2006-04-13
2006-03-310.270.280.01
2006-01-24
2005-12-310.60.640.04
2005-10-19
2005-09-300.170.210.0423 
2005-07-21
2005-06-300.430.460.03
2005-04-14
2005-03-310.30.30.0
2005-01-25
2004-12-310.710.750.04
2004-10-13
2004-09-300.320.330.01
2004-07-14
2004-06-300.50.50.0
2004-04-12
2004-03-310.360.380.02
2004-01-27
2003-12-310.70.730.03
2003-10-16
2003-09-300.320.330.01
2003-07-15
2003-06-300.460.470.01
2003-04-14
2003-03-310.420.430.01
2003-01-28
2002-12-310.670.690.02
2002-10-17
2002-09-300.380.380.0
2002-07-16
2002-06-300.520.520.0
2002-04-15
2002-03-310.370.390.02
2002-01-30
2001-12-310.50.50.0
2001-10-17
2001-09-300.30.30.0
2001-07-18
2001-06-300.430.440.01
2001-04-16
2001-03-310.370.36-0.01
2001-01-31
2000-12-310.660.680.02
2000-10-12
2000-09-300.380.37-0.01
2000-07-10
2000-06-300.560.590.03
2000-04-13
2000-03-310.430.470.04
2000-02-03
1999-12-310.560.610.05
1999-10-14
1999-09-300.350.360.01
1999-07-15
1999-06-300.460.470.01
1999-04-14
1999-03-310.350.34-0.01
1999-02-03
1998-12-310.470.470.0
1998-10-14
1998-09-300.290.290.0
1998-07-16
1998-06-300.40.430.03
1998-04-16
1998-03-310.310.330.02
1998-02-04
1997-12-310.410.420.01
1997-10-16
1997-09-300.220.230.01
1997-07-17
1997-06-300.320.340.02
1997-04-17
1997-03-310.270.26-0.01
1997-02-05
1996-12-310.30.360.0620 
1996-10-18
1996-09-300.180.190.01
1996-07-18
1996-06-300.230.230.0
1996-04-16
1996-03-310.150.170.0213 

About New York Earnings Estimate

The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of New York 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 New York 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 New York 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 Earnings2.3 B1.5 B
Retained Earnings Total Equity2.1 B1.5 B
Earnings Yield 0.03  0.04 
Price Earnings Ratio 29.13  38.83 
Price Earnings To Growth Ratio 1.08  1.13 

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Additional Tools for New Stock Analysis

When running New York's price analysis, check to measure New York'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 New York is operating at the current time. Most of New York's value examination focuses on studying past and present price action to predict the probability of New York's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move New York's price. Additionally, you may evaluate how the addition of New York to your portfolios can decrease your overall portfolio volatility.