Waste Connections Earnings Estimate
| WCN Stock | USD 186.29 1.00 0.54% |
Waste Connections Revenue Breakdown by Earning Segment
By analyzing Waste Connections' earnings estimates, investors can diagnose different trends across Waste Connections' analyst sentiment over time as well as compare current estimates against different timeframes. At this time, Waste Connections' Gross Profit is very stable compared to the past year. As of the 17th of March 2025, Operating Profit Margin is likely to grow to 0.20, while Pretax Profit Margin is likely to drop 0.08.
Waste |
Waste Connections Earnings Estimation Breakdown
The calculation of Waste Connections' 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 Waste Connections is estimated to be 1.0975 with the future projection ranging from a low of 1.0501 to a high of 1.15. Please be aware that this consensus of annual earnings estimates for Waste Connections is based on EPS before non-recurring items and includes expenses related to employee stock options.Last Reported EPS
1.05 Lowest | Expected EPS | 1.15 Highest |
Waste Connections Earnings Projection Consensus
Suppose the current estimates of Waste Connections' value are higher than the current market price of the Waste Connections stock. In this case, investors may conclude that Waste Connections 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 Waste Connections' stock will quickly adjusts to the new information provided by the consensus estimate.
| Number of Analysts | Historical Accuracy | Last Reported EPS | Estimated EPS for 31st of March 2025 | Current EPS (TTM) | |
| 22 | 96.62% | 1.16 | 1.0975 | 2.39 |
Waste Connections Earnings History
Earnings estimate consensus by Waste Connections analysts from Wall Street is used by the market to judge Waste Connections' 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 Waste Connections' upcoming profit reports and earnings-per-share forecasts but also comparing them to our different valuation methods.Waste Connections Quarterly Gross Profit |
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Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Waste Connections' 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.
Waste Connections Earnings per Share Projection vs Actual
Actual Earning per Share of Waste Connections refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering Waste Connections predict the company's earnings will be in the future. The higher the earnings per share of Waste Connections, 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.Waste Connections Estimated Months Earnings per Share
For an investor who is primarily interested in generating an income out of investing in entities such as Waste Connections, 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 Waste Connections should always be considered in relation to other companies to make a more educated investment decision.Waste Quarterly Analyst Estimates and Surprise Metrics
Earnings surprises can significantly impact Waste Connections' 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 | |||
|---|---|---|---|---|---|---|---|
2025-02-11 | 2024-12-31 | 1.1887 | 1.16 | -0.0287 | 2 | ||
2024-10-23 | 2024-09-30 | 1.29 | 1.35 | 0.06 | 4 | ||
2024-07-24 | 2024-06-30 | 1.17 | 1.24 | 0.07 | 5 | ||
2024-04-24 | 2024-03-31 | 1 | 1.04 | 0.04 | 4 | ||
2024-02-13 | 2023-12-31 | 1.08 | 1.11 | 0.03 | 2 | ||
2023-10-25 | 2023-09-30 | 1.14 | 1.17 | 0.03 | 2 | ||
2023-08-02 | 2023-06-30 | 1.01 | 1.02 | 0.01 | 0 | ||
2023-04-26 | 2023-03-31 | 0.88 | 0.89 | 0.01 | 1 | ||
2023-02-15 | 2022-12-31 | 0.88 | 0.89 | 0.01 | 1 | ||
2022-11-02 | 2022-09-30 | 1.02 | 1.1 | 0.08 | 7 | ||
2022-08-02 | 2022-06-30 | 0.95 | 1.0 | 0.05 | 5 | ||
2022-05-03 | 2022-03-31 | 0.84 | 0.82 | -0.02 | 2 | ||
2022-02-16 | 2021-12-31 | 0.82 | 0.83 | 0.01 | 1 | ||
2021-10-27 | 2021-09-30 | 0.86 | 0.89 | 0.03 | 3 | ||
2021-08-04 | 2021-06-30 | 0.78 | 0.81 | 0.03 | 3 | ||
2021-04-28 | 2021-03-31 | 0.67 | 0.7 | 0.03 | 4 | ||
2021-02-17 | 2020-12-31 | 0.63 | 0.68 | 0.05 | 7 | ||
2020-10-28 | 2020-09-30 | 0.66 | 0.72 | 0.06 | 9 | ||
2020-08-07 | 2020-06-30 | 0.56 | 0.6 | 0.04 | 7 | ||
2020-05-07 | 2020-03-31 | 0.63 | 0.65 | 0.02 | 3 | ||
2020-02-12 | 2019-12-31 | 0.62 | 0.69 | 0.07 | 11 | ||
2019-10-28 | 2019-09-30 | 0.71 | 0.73 | 0.02 | 2 | ||
2019-07-29 | 2019-06-30 | 0.69 | 0.69 | 0.0 | 0 | ||
2019-04-24 | 2019-03-31 | 0.6 | 0.62 | 0.02 | 3 | ||
2019-02-13 | 2018-12-31 | 0.6 | 0.63 | 0.03 | 5 | ||
2018-10-29 | 2018-09-30 | 0.67 | 0.69 | 0.02 | 2 | ||
2018-07-24 | 2018-06-30 | 0.62 | 0.65 | 0.03 | 4 | ||
2018-05-02 | 2018-03-31 | 0.55 | 0.56 | 0.01 | 1 | ||
2018-02-14 | 2017-12-31 | 0.49 | 0.52 | 0.03 | 6 | ||
2017-10-25 | 2017-09-30 | 0.57 | 0.6 | 0.03 | 5 | ||
2017-07-25 | 2017-06-30 | 0.53 | 0.55 | 0.02 | 3 | ||
2017-04-26 | 2017-03-31 | 0.46 | 0.49 | 0.03 | 6 | ||
2017-02-21 | 2016-12-31 | 0.43 | 0.45 | 0.02 | 4 | ||
2016-10-26 | 2016-09-30 | 0.48 | 0.48 | 0.0 | 0 | ||
2016-08-03 | 2016-06-30 | 0.35 | 0.44 | 0.09 | 25 | ||
2016-04-27 | 2016-03-31 | 0.63 | 0.62 | -0.01 | 1 | ||
2016-02-08 | 2015-12-31 | 0.66 | 0.68 | 0.02 | 3 | ||
2015-10-26 | 2015-09-30 | 0.73 | 0.75 | 0.02 | 2 | ||
2015-07-27 | 2015-06-30 | 0.69 | 0.69 | 0.0 | 0 | ||
2015-04-27 | 2015-03-31 | 0.64 | 0.64 | 0.0 | 0 | ||
2015-02-09 | 2014-12-31 | 0.68 | 0.71 | 0.03 | 4 | ||
2014-10-21 | 2014-09-30 | 0.75 | 0.78 | 0.03 | 4 | ||
2014-07-21 | 2014-06-30 | 0.72 | 0.73 | 0.01 | 1 | ||
2014-04-21 | 2014-03-31 | 0.57 | 0.61 | 0.04 | 7 | ||
2014-02-10 | 2013-12-31 | 0.59 | 0.61 | 0.02 | 3 | ||
2013-10-22 | 2013-09-30 | 0.7 | 0.71 | 0.01 | 1 | ||
2013-07-23 | 2013-06-30 | 0.61 | 0.65 | 0.04 | 6 | ||
2013-04-24 | 2013-03-31 | 0.46 | 0.51 | 0.05 | 10 | ||
2013-02-20 | 2012-12-31 | 0.53 | 0.51 | -0.02 | 3 | ||
2012-10-22 | 2012-09-30 | 0.52 | 0.55 | 0.03 | 5 | ||
2012-07-23 | 2012-06-30 | 0.5 | 0.5 | 0.0 | 0 | ||
2012-04-25 | 2012-03-31 | 0.44 | 0.44 | 0.0 | 0 | ||
2012-02-07 | 2011-12-31 | 0.48 | 0.49 | 0.01 | 2 | ||
2011-10-18 | 2011-09-30 | 0.56 | 0.58 | 0.02 | 3 | ||
2011-07-19 | 2011-06-30 | 0.52 | 0.54 | 0.02 | 3 | ||
2011-04-25 | 2011-03-31 | 0.42 | 0.44 | 0.02 | 4 | ||
2011-02-08 | 2010-12-31 | 0.42 | 0.44 | 0.02 | 4 | ||
2010-10-19 | 2010-09-30 | 0.47 | 0.49 | 0.02 | 4 | ||
2010-07-20 | 2010-06-30 | 0.42 | 0.44 | 0.02 | 4 | ||
2010-04-20 | 2010-03-31 | 0.32 | 0.34 | 0.02 | 6 | ||
2010-02-08 | 2009-12-31 | 0.34 | 0.34 | 0.0 | 0 | ||
2009-10-26 | 2009-09-30 | 0.38 | 0.41 | 0.03 | 7 | ||
2009-07-21 | 2009-06-30 | 0.32 | 0.34 | 0.02 | 6 | ||
2009-04-21 | 2009-03-31 | 0.27 | 0.27 | 0.0 | 0 | ||
2009-02-09 | 2008-12-31 | 0.28 | 0.29 | 0.01 | 3 | ||
2008-10-21 | 2008-09-30 | 0.38 | 0.38 | 0.0 | 0 | ||
2008-07-22 | 2008-06-30 | 0.36 | 0.36 | 0.0 | 0 | ||
2008-04-21 | 2008-03-31 | 0.31 | 0.31 | 0.0 | 0 | ||
2008-02-11 | 2007-12-31 | 0.31 | 0.31 | 0.0 | 0 | ||
2007-10-22 | 2007-09-30 | 0.35 | 0.38 | 0.03 | 8 | ||
2007-07-23 | 2007-06-30 | 0.32 | 0.33 | 0.01 | 3 | ||
2007-04-23 | 2007-03-31 | 0.27 | 0.3 | 0.03 | 11 | ||
2007-02-12 | 2006-12-31 | 0.27 | 0.29 | 0.02 | 7 | ||
2006-10-23 | 2006-09-30 | 0.31 | 0.29 | -0.02 | 6 | ||
2006-07-26 | 2006-06-30 | 0.25 | 0.25 | 0.0 | 0 | ||
2006-04-24 | 2006-03-31 | 0.24 | 0.24 | 0.0 | 0 | ||
2006-02-13 | 2005-12-31 | 0.27 | 0.26 | -0.01 | 3 | ||
2005-10-25 | 2005-09-30 | 0.31 | 0.31 | 0.0 | 0 | ||
2005-07-25 | 2005-06-30 | 0.28 | 0.28 | 0.0 | 0 | ||
2005-04-20 | 2005-03-31 | 0.24 | 0.25 | 0.01 | 4 | ||
2005-02-22 | 2004-12-31 | 0.26 | 0.25 | -0.01 | 3 | ||
2004-10-20 | 2004-09-30 | 0.28 | 0.28 | 0.0 | 0 | ||
2004-07-21 | 2004-06-30 | 0.25 | 0.26 | 0.01 | 4 | ||
2004-04-21 | 2004-03-31 | 0.21 | 0.22 | 0.01 | 4 | ||
2004-02-18 | 2003-12-31 | 0.23 | 0.23 | 0.0 | 0 | ||
2003-10-22 | 2003-09-30 | 0.23 | 0.23 | 0.0 | 0 | ||
2003-07-22 | 2003-06-30 | 0.23 | 0.23 | 0.0 | 0 | ||
2003-04-22 | 2003-03-31 | 0.2 | 0.2 | 0.0 | 0 | ||
2003-02-19 | 2002-12-31 | 0.21 | 0.21 | 0.0 | 0 | ||
2002-10-22 | 2002-09-30 | 0.21 | 0.21 | 0.0 | 0 | ||
2002-07-23 | 2002-06-30 | 0.2 | 0.21 | 0.01 | 5 | ||
2002-04-23 | 2002-03-31 | 0.16 | 0.18 | 0.02 | 12 | ||
2002-02-20 | 2001-12-31 | 0.15 | 0.15 | 0.0 | 0 | ||
2001-10-22 | 2001-09-30 | 0.16 | 0.15 | -0.01 | 6 | ||
2001-07-24 | 2001-06-30 | 0.15 | 0.16 | 0.01 | 6 | ||
2001-04-24 | 2001-03-31 | 0.13 | 0.13 | 0.0 | 0 | ||
2001-02-20 | 2000-12-31 | 0.13 | 0.15 | 0.02 | 15 | ||
2000-10-24 | 2000-09-30 | 0.14 | 0.16 | 0.02 | 14 | ||
2000-07-26 | 2000-06-30 | 0.12 | 0.12 | 0.0 | 0 | ||
2000-04-27 | 2000-03-31 | 0.1 | 0.11 | 0.01 | 10 | ||
2000-02-22 | 1999-12-31 | 0.1 | 0.11 | 0.01 | 10 | ||
1999-10-27 | 1999-09-30 | 0.1 | 0.1 | 0.0 | 0 | ||
1999-07-28 | 1999-06-30 | 0.08 | 0.09 | 0.01 | 12 | ||
1999-05-05 | 1999-03-31 | 0.06 | 0.07 | 0.01 | 16 | ||
1999-02-22 | 1998-12-31 | 0.05 | 0.05 | 0.0 | 0 | ||
1998-11-03 | 1998-09-30 | 0.04 | 0.05 | 0.01 | 25 | ||
1998-08-03 | 1998-06-30 | 0.03 | 0.03 | 0.0 | 0 |
About Waste Connections Earnings Estimate
The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of Waste Connections 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 Waste Connections 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 Waste Connections 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 Reported | Projected for Next Year | ||
| Retained Earnings | 4.5 B | 4.7 B | |
| Retained Earnings Total Equity | 4.2 B | 2.8 B | |
| Earnings Yield | 0.01 | 0.01 | |
| Price Earnings Ratio | 71.67 | 75.25 | |
| Price Earnings To Growth Ratio | (3.72) | (3.54) |
Pair Trading with Waste Connections
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 Waste Connections 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 Waste Connections will appreciate offsetting losses from the drop in the long position's value.Moving together with Waste Stock
Moving against Waste Stock
| 0.57 | BW | Babcock Wilcox Enter | PairCorr |
| 0.54 | BV | BrightView Holdings | PairCorr |
| 0.5 | CW | Curtiss Wright | PairCorr |
| 0.41 | J | Jacobs Solutions | PairCorr |
| 0.38 | EVGOW | EVgo Equity Warrants | PairCorr |
The ability to find closely correlated positions to Waste Connections could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Waste Connections 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 Waste Connections - 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 Waste Connections to buy it.
The correlation of Waste Connections 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 Waste Connections moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Waste Connections 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 Waste Connections 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.Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Waste Connections. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. To learn how to invest in Waste Stock, please use our How to Invest in Waste Connections guide.You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Is Environmental & Facilities Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Waste Connections. If investors know Waste will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Waste Connections listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.339 | Dividend Share 1.17 | Earnings Share 2.39 | Revenue Per Share | Quarterly Revenue Growth 0.11 |
The market value of Waste Connections is measured differently than its book value, which is the value of Waste that is recorded on the company's balance sheet. Investors also form their own opinion of Waste Connections' value that differs from its market value or its book value, called intrinsic value, which is Waste Connections' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Waste Connections' market value can be influenced by many factors that don't directly affect Waste Connections' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Waste Connections' value and its price as these two are different measures arrived at by different means. Investors typically determine if Waste Connections is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Waste Connections' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.