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The Bank of New York Mellon Corporation (BK) Reports Next Week: Wall Street Expects Earnings Growth

Wall Street expects a year-over-year increase in earnings on higher revenues when The Bank of New York Mellon Corporation (BK) reports results for the quarter ended March 2023. While this widely-known consensus outlook is important in gauging the company's earnings picture, a powerful factor that could impact its near-term stock price is how the actual results compare to these estimates.

The stock might move higher if these key numbers top expectations in the upcoming earnings report, which is expected to be released on April 18. On the other hand, if they miss, the stock may move lower.

While management's discussion of business conditions on the earnings call will mostly determine the sustainability of the immediate price change and future earnings expectations, it's worth having a handicapping insight into the odds of a positive EPS surprise.

Zacks Consensus Estimate

This company is expected to post quarterly earnings of $1.09 per share in its upcoming report, which represents a year-over-year change of +26.7%.

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Revenues are expected to be $4.35 billion, up 10.7% from the year-ago quarter.

Estimate Revisions Trend

The consensus EPS estimate for the quarter has been revised 0.13% lower over the last 30 days to the current level. This is essentially a reflection of how the covering analysts have collectively reassessed their initial estimates over this period.

Investors should keep in mind that an aggregate change may not always reflect the direction of estimate revisions by each of the covering analysts.

Earnings Whisper

Estimate revisions ahead of a company's earnings release offer clues to the business conditions for the period whose results are coming out. This insight is at the core of our proprietary surprise prediction model -- the Zacks Earnings ESP (Expected Surprise Prediction).

The Zacks Earnings ESP compares the Most Accurate Estimate to the Zacks Consensus Estimate for the quarter; the Most Accurate Estimate is a more recent version of the Zacks Consensus EPS estimate. The idea here is that analysts revising their estimates right before an earnings release have the latest information, which could potentially be more accurate than what they and others contributing to the consensus had predicted earlier.

Thus, a positive or negative Earnings ESP reading theoretically indicates the likely deviation of the actual earnings from the consensus estimate. However, the model's predictive power is significant for positive ESP readings only.

A positive Earnings ESP is a strong predictor of an earnings beat, particularly when combined with a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold). Our research shows that stocks with this combination produce a positive surprise nearly 70% of the time, and a solid Zacks Rank actually increases the predictive power of Earnings ESP.

Please note that a negative Earnings ESP reading is not indicative of an earnings miss. Our research shows that it is difficult to predict an earnings beat with any degree of confidence for stocks with negative Earnings ESP readings and/or Zacks Rank of 4 (Sell) or 5 (Strong Sell).

How Have the Numbers Shaped Up for The Bank of New York Mellon Corporation?

For The Bank of New York Mellon Corporation, the Most Accurate Estimate is higher than the Zacks Consensus Estimate, suggesting that analysts have recently become bullish on the company's earnings prospects. This has resulted in an Earnings ESP of +2.58%.

On the other hand, the stock currently carries a Zacks Rank of #3.

So, this combination indicates that The Bank of New York Mellon Corporation will most likely beat the consensus EPS estimate.

Does Earnings Surprise History Hold Any Clue?

Analysts often consider to what extent a company has been able to match consensus estimates in the past while calculating their estimates for its future earnings. So, it's worth taking a look at the surprise history for gauging its influence on the upcoming number.

For the last reported quarter, it was expected that The Bank of New York Mellon Corporation would post earnings of $1.22 per share when it actually produced earnings of $1.30, delivering a surprise of +6.56%.

Over the last four quarters, the company has beaten consensus EPS estimates three times.

Bottom Line

An earnings beat or miss may not be the sole basis for a stock moving higher or lower. Many stocks end up losing ground despite an earnings beat due to other factors that disappoint investors. Similarly, unforeseen catalysts help a number of stocks gain despite an earnings miss.

That said, betting on stocks that are expected to beat earnings expectations does increase the odds of success. This is why it's worth checking a company's Earnings ESP and Zacks Rank ahead of its quarterly release. Make sure to utilize our Earnings ESP Filter to uncover the best stocks to buy or sell before they've reported.

The Bank of New York Mellon Corporation appears a compelling earnings-beat candidate. However, investors should pay attention to other factors too for betting on this stock or staying away from it ahead of its earnings release.

An Industry Player's Expected Results

Among the stocks in the Zacks Banks - Major Regional industry, JPMorgan Chase & Co. (JPM) is soon expected to post earnings of $3.40 per share for the quarter ended March 2023. This estimate indicates a year-over-year change of +29.3%. This quarter's revenue is expected to be $35.37 billion, up 15.2% from the year-ago quarter.

Over the last 30 days, the consensus EPS estimate for JPMorgan Chase & Co. has been revised 0.5% down to the current level. Nevertheless, the company now has an Earnings ESP of -0.77%, reflecting a lower Most Accurate Estimate.

When combined with a Zacks Rank of #3 (Hold), this Earnings ESP makes it difficult to conclusively predict that JPMorgan Chase & Co. will beat the consensus EPS estimate. Over the last four quarters, the company surpassed consensus EPS estimates two times.

Stay on top of upcoming earnings announcements with the Zacks Earnings Calendar.

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