Street Earnings Overstated For 67% Of S&P 500 Companies In Q1 2022

Jun. 16, 2022 12:11 PM ETEXPE, SPY, IVV, VOO, VTI, DIA, IWM, QQQ, MSFT, NVDA

Summary

  • For 333 companies in the S&P 500, Street Earnings overstate Core Earnings for the trailing-twelve-months (TTM) ended calendar 1Q22.
  • The 333 companies with overstated Street Earnings make up 70% of the market cap of the S&P 500.
  • This report shows five S&P 500 companies with overstated Street Earnings and an Unattractive-or-worse Stock Rating.
  • Looking for more investing ideas like this one? Get them exclusively at Value Investing 2.0 . Learn More »

Business Trends Graphs and charts. Dollar sign with rocket

Vertigo3d/E+ via Getty Images

GAAP Earnings exaggerated the drop in 2020 and overstated the rebound in S&P 500 earnings in 2021. In the trailing-twelve-months (TTM) ended 1Q22, GAAP earnings continue to overstate the growth reflected in Zacks Earnings, which are reported to be adjusted to remove non-recurring items. This report shows:

  • the prevalence and magnitude of overstated Street Earnings in the S&P 500;
  • why Street Earnings (and GAAP earnings) are flawed and not adjusted as promised;
  • five S&P 500 companies with overstated Street Earnings and an Unattractive-or-worse Stock Rating.

Over 180 S&P 500 Companies Overstate EPS by More than 10%

For 333 companies in the S&P 500, Street Earnings overstate Core Earnings[1] for the trailing-twelve-months ended calendar 1Q22. In the TTMs ended 1Q21 and calendar 2021, 362 companies and 336 companies overstated their earnings, respectively.

When Street Earnings overstate Core Earnings, they do so by an average of 19% per company, per Figure 1. For over a third of S&P 500 companies, Street Earnings overstate Core Earnings by >10%.

Figure 1: Street Earnings Overstated by 19% on Average in TTM Through 1Q22[2]

Overstated Street Earnings S&P 500 Through 1Q22

Overstated Street Earnings S&P 500 Through 1Q22 (New Constructs, LLC and company filings)

The 333 companies with overstated Street Earnings make up 70% of the market cap of the S&P 500 through 5/16/22, which is down from 79% through 2021, measured with TTM data in each quarter.

The drop from the prior TTM period is driven largely by Microsoft (MSFT) and NVIDIA Corporation's (NVDA) Street Earnings falling from overstated through 2021 to understated through 1Q22. Combined, these two firms make up 7% of the S&P 500 market cap through 5/16/22.

Figure 2: Overstated Street Earnings as % of Market Cap: 2012 through 5/16/22

Overstated Earnings S&P 500 as % of Market Cap

Overstated Earnings S&P 500 as % of Market Cap (New Constructs, LLC and company filings)

The Five Worst Offenders in the S&P 500

Figure 3 shows five S&P 500 stocks with an Unattractive-or-worse Stock Rating and the most overstated Street Earnings (Street Distortion as a % of Street Earnings per share) over the TTM through 1Q22. "Street Distortion" equals the difference between Core Earnings per share and Street Earnings per share. Investors using Street Earnings miss the true profitability, or lack thereof, of these businesses.

Figure 3: S&P 500 Companies with Most Overstated Street Earnings: TTM Through 1Q22

Five Most Overstated Earnings in S&P 500

Five Most Overstated Earnings in S&P 500 (New Constructs, LLC and company filings.*Measured as Street Distortion as a percent of Street EPS)

In the section below, we detail the hidden and reported unusual items that distort GAAP Earnings for Expedia Group (EXPE). All these unusual items are removed from Core Earnings.

Expedia Group, Inc.'s TTM 1Q22 Street Earnings Overstated by $1.91/share

The difference between, or Street Distortion in, Expedia's Street Earnings ($0.84/share) and Core Earnings (-$1.07/share) is $1.91/share, or 227% percent of Street Earnings.

Expedia's GAAP Earnings overstate Core Earnings by $2.48/share, which indicates that Street Earnings capture some, but not all, of the unusual items that distort GAAP Earnings for Expedia.

Figure 4: Comparing Expedia's GAAP, Street, and Core Earnings: TTM Through 1Q22

EXPE GAAP vs. Street vs. Core Earnings through 1Q22

EXPE GAAP vs. Street vs. Core Earnings through 1Q22 (New Constructs, LLC and company filings)

Below, we detail the differences between Core Earnings and GAAP Earnings, so readers can audit our research. We would be happy to reconcile our Core Earnings with Street Earnings but cannot because we do not have the details on how analysts calculate their Street Earnings.

Expedia's Earnings Distortion Score is Miss and its Stock Rating is Unattractive. Expedia receives an Unattractive rating due to its low return on invested capital of 3% and an expensive valuation. Despite trading at $124/share, EXPE has an economic book value, or no growth value, of well under $1/share.

Figure 5 details the differences between Expedia's Core Earnings and GAAP Earnings.

Figure 5: Expedia's GAAP Earnings to Core Earnings Reconciliation: TTM Through 1Q22

EXPE Core vs. GAAP Earnings Reconciliation

EXPE Core vs. GAAP Earnings Reconciliation (New Constructs, LLC and company filings)

More details:

Total Earnings Distortion of $2.48/share, which equals $378 million, is comprised of the following:

Reported Unusual Gains Pre-Tax, Net = $2.56/per share, which equals $391 million and is comprised of:

Tax Distortion = -$0.09/per share, which equals -$13.2 million

Our research shows both Street and GAAP earnings fail to capture significant unusual items impacting Expedia's true profits.

This article originally published on May 27, 2022.

Disclosure: David Trainer, Kyle Guske II, and Matt Shuler receive no compensation to write about any specific stock, style, or theme.

[1] Our Core Earnings research is based on the latest audited financial data, which is the calendar 1Q22 10-Q in most cases. Price data as of 5/16/22.

[2] Average overstated % is calculated as Street Distortion, which is the difference between Street Earnings and Core Earnings.

Get our long and short/warning ideas. Access to top accounting and finance experts.

Deliverables:

1. Daily – long & short idea updates as necessary, forensic accounting insights, chat features

2. Weekly - exclusive access to top-ranked long & short ideas

3. Monthly - 40 large, 40 small cap ideas from the Most Attractive & Most Dangerous Stocks Model Portfolios

4. Quarterly – Best & Worst ETFs and Mutual Funds in each Sector & Style

See the difference that real diligence makes.

This article was written by

David Trainer profile picture
15.87K Followers
Best fundamental research: most rigorous long & short ideas
New Constructs is an independent research technology firm that provides unrivaled insights into the fundamentals and valuation of private & public businesses. Combining human expertise with machine learning and NLP, the firm shines light into the dark corners (e.g. footnotes) of millions of financial filings and provides superior investment research. The firm's Robo-Analyst technology is the first-ever vertically integrated investment research platform: performing data collection, financial modeling and assigning investment ratings to over 10,000 securities - automatically. This new technology is research automation at its best according to:


   1. Harvard Business School & MIT Sloan prove our fundamental data is superior.


   2. Ernst & Young proves the superiority of our financial analytics over Capital IQ & Bloomberg.


   3. Indiana Kelly School of Business proves our stock ratings outperform human analysts.



If these prestigious institutions trust us so much that they decided to publish official papers to prove the superiority of our research, then you can safely trust us, too.

New Constructs' clients include investors of all types from quant funds like GSAM who subscribe to proprietary data feeds, advisors and individuals who subscribe to our investment research directly through our website.


David is CEO of New Constructs (www.newconstructs.com). David is a distinguished investment strategist and corporate finance expert. He was a 5-yr member of FASB's Investors Advisory Committee. He is author of the Chapter “Modern Tools for Valuation” in The Valuation Handbook (Wiley Finance 2010). 


Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article.

Recommended For You

Comments

To ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser.
Is this happening to you frequently? Please report it on our feedback forum.
If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh.