WallStreetZen

Stock Predictions & Stock Market Forecast 2021, 2022, 2023, 2024, 2025
View analyst forecasts, price targets, buy/sell ratings, revenue/earnings forecasts and more

Ticker
Company
Zen Score
Valuation Score
Financials Score
Forecast Score
Performance Score
Dividends Score
AAPLApple Inc
51
14
57
56
70
60
MSFTMicrosoft Corp
58
29
86
44
70
60
GOOGLAlphabet Inc
42
14
71
44
80
0
AMZNAmazon Com Inc
50
29
86
44
90
0
FBFacebook Inc
54
29
86
67
90
0
TSLATesla Inc
47
0
86
89
60
0
BRK.BBerkshire Hathaway Inc
26
14
57
0
60
0
TSMTaiwan Semiconductor Manufacturing Co Ltd
46
29
57
33
50
60
NVDANvidia Corp
43
0
71
33
90
20
JPMJpmorgan Chase & Co
36
14
14
22
50
80
BABAAlibaba Group Holding Ltd
44
43
71
56
50
0
VVisa Inc
47
14
43
89
30
60
JNJJohnson & Johnson
47
14
57
33
50
80
UNHUnitedhealth Group Inc
40
14
43
11
50
80
WMTWalmart Inc
45
29
43
56
20
80
BACBank Of America Corp
34
14
14
33
30
80
HDHome Depot Inc
50
29
57
33
50
80
MAMastercard Inc
47
14
43
89
30
60
PGPROCTER & GAMBLE Co
47
29
43
33
50
80
ASMLAsml Holding Nv
48
14
71
44
70
40
DISWalt Disney Co
25
29
29
67
0
0
PYPLPayPal Holdings Inc
35
0
71
44
60
0
ADBEAdobe Inc
35
0
71
11
90
0
CRMSalesforcecom Inc
29
29
57
11
50
0
NFLXNetflix Inc
42
29
57
44
80
0
XOMExxon Mobil Corp
21
0
14
0
10
80
ORCLOracle Corp
33
14
43
0
50
60
NKENIKE Inc
44
14
71
33
40
60
CMCSAComcast Corp
42
43
43
22
20
80
TMToyota Motor Corp
48
43
71
33
50
40
NVONovo Nordisk A S
47
29
71
33
40
60
KOCoca Cola Co
41
29
43
22
30
80
CSCOCisco Systems Inc
52
29
57
44
50
80
PFEPfizer Inc
52
43
57
22
40
100
TMOThermo Fisher Scientific Inc
50
29
71
22
70
60
LLYELI LILLY & Co
44
14
43
33
50
80
ACNAccenture plc
45
29
86
11
60
40
INTCIntel Corp
42
43
57
11
20
80
PEPPepsico Inc
47
29
43
33
50
80
VZVerizon Communications Inc
50
29
57
22
40
100
DHRDanaher Corp
40
29
71
22
40
40
CVXChevron Corp
47
14
57
56
30
80
ABTAbbott Laboratories
40
29
57
22
50
40
AVGOBroadcom Inc
49
29
43
44
70
60
COSTCostco Wholesale Corp
51
29
71
33
80
40
WFCWells Fargo & Company
26
43
14
11
20
40
MRKMerck & Co Inc
46
29
43
67
30
60
ABBVAbbVie Inc
45
29
29
56
30
80
SESea Ltd
23
0
29
56
30
0
RDS.ARoyal Dutch Shell plc
19
0
29
44
0
20
NVSNovartis Ag
49
57
43
44
20
80
MSMorgan Stanley
31
29
14
0
30
80
TAT&T Inc
25
14
29
0
0
80
MCDMcdonalds Corp
39
29
43
11
30
80
TXNTexas Instruments Inc
55
29
71
33
60
80
SAPSap Se
42
43
57
22
30
60
SHOPShopify Inc
44
14
100
44
60
0
MDTMedtronic plc
47
43
57
44
10
80
BHPBHP Group Ltd
60
43
71
67
60
60
UPSUnited Parcel Service Inc
57
29
71
67
40
80
NEENextera Energy Inc
38
14
29
78
10
60
LINLinde Plc
33
29
43
44
10
40
AZNAstrazeneca Plc
42
29
43
78
40
20
PMPhilip Morris International Inc
47
29
57
11
40
100
SONYSony Group Corp
27
29
57
0
50
0
SCHWSchwab Charles Corp
38
14
43
44
30
60
HONHoneywell International Inc
44
14
43
44
40
80
LOWLowes Companies Inc
50
29
57
22
60
80
INTUIntuit Inc
48
14
71
56
40
60
RYRoyal Bank Of Canada
37
29
29
56
10
60
QCOMQualcomm Inc
45
14
71
0
60
80
UNPUnion Pacific Corp
47
29
43
33
50
80
TMUST-Mobile US Inc
26
29
14
56
30
0
CCitigroup Inc
38
29
29
11
40
80
AXPAmerican Express Co
42
29
57
22
40
60
ULUnilever Plc
46
43
43
33
30
80
HDBHdfc Bank Ltd
50
14
57
78
60
40
BLKBlackRock Inc
44
29
57
44
30
60
RTXRaytheon Technologies Corp
35
29
43
44
20
40
GSGoldman Sachs Group Inc
39
29
29
0
60
80
TTETotalEnergies SE
17
0
14
11
0
60
AMDAdvanced Micro Devices Inc
47
14
86
44
90
0
SBUXStarbucks Corp
50
14
57
67
30
80
NOWServiceNow Inc
47
14
71
78
70
0
MRNAModerna Inc
39
29
71
56
40
0
BMYBristol Myers Squibb Co
31
14
29
22
30
60
IBMInternational Business Machines Corp
46
43
43
44
20
80
CHTRCharter Communications Inc
25
29
14
44
40
0
TDToronto Dominion Bank
29
43
29
22
10
40
DEODiageo Plc
48
29
57
44
50
60
BABoeing Co
18
0
57
22
10
0
JDJDcom Inc
34
29
57
22
60
0
HSBCHsbc Holdings Plc
32
43
29
67
0
20
AMTAmerican Tower Corp
38
29
14
67
40
40
SNAPSnap Inc
31
0
71
56
30
0
SNYSanofi
50
29
71
0
70
80
TGTTarget Corp
59
29
71
33
80
80
AMATApplied Materials Inc
56
43
71
33
70
60
ISRGIntuitive Surgical Inc
43
14
86
56
60
0
AMGNAmgen Inc
54
43
43
67
40
80

Why You Shouldn't Trust Stock Market Predictions (And What You Can Do Instead)

"He who lives by the crystal ball is destined to eat ground glass" Ray Dalio

At WallStreetZen, we incorporate analyst ratings and analyst stock forecasts into our fundamental analysis model and due diligence checks.

We have a stock forecast section on every company that shows analyst price targets, analyst stock predictions related to revenue and earnings, and analyst stock ratings.

However, it's important to understand the limitations of Wall Street analyst forecasts so you can make informed decisions.

Wall Street Analyst Stock Predictions Have Built-in Biases

Sell-side analysts have a strong bias towards giving a "buy" recommendation.

After all, the way stock investing worked for most of its history was that a firm's stockbrokers would sell stocks and earn a commission, while offering research from their firm's own equity analysts. While there are regulations designed to keep the analysis and sales sides of firms separate, the natural incentive for analysts is to lean towards buy, rather than sell recommendations.

While most individual investors no longer use individual stock brokers to buy stocks, the same banks that publish analyst research and ratings are still the same banks that provide investment services to institutional investors and retail investors alike.

A study by S&P Global Market Intelligence found that during a typical quarterly earnings season, ⅔ of the companies on the S&P500 published earnings per share guidance that was higher than the consensus estimates among analysts.

Why is that? After all, if analysts estimates were completely unbiased, you would expect that this rate should be somewhere closer to 50%. Why would this number consistently hover around 67%, like some rule of nature?

It turns out you just need to look at incentives to understand what's going on. Because a company's share price often goes up if they beat their earnings guidance, companies usually offer earnings guidance that they can "beat" - in other words, their incentives are to under promise and over deliver.

Analysts are offering stock forecasts that optimize for their own track record of making winning bets.

While analyst research can offer useful insights into a company or an industry, take their stock forecasts and predictions as just a single data point to incorporate into a comprehensive research process.

So Why Do We Use Analyst Stock Forecasts at All?

We incorporate analyst forecasts as a data point to help you make better long-term investment decisions, but they should be taken with a grain of salt.

Analysts follow companies closely and so they may have some insights into the future earnings and revenues of a company. Most models for calculating the intrinsic value of a company require some form of forecasting and attempting to project a company's prospects for growth, so some amount of trying to look into the future and make predictions is required for creating relatively accurate valuation models.

However, you should not make investments by blindly following analyst recommendations.

In fact, if you don't have the time or knowledge to do your own research into a company's numbers, you should take Warren Buffett's advice and simply invest in index funds that track the market:

"Over the years, I've often been asked for investment advice, and in the process of answering I've learned a good deal about human behavior. My regular recommendation has been a low-cost S&P 500 index fund."

Here at WallStreetZen, we've seen no evidence to contradict Warren Buffett's assertion that the vast majority of investors (both part-time and professional) will get better returns investing in index funds, rather than attempting to pick individual stocks.

However, our mission is to help those part-time investors by providing easy to use tools and education to make understanding those numbers easier. Our mission is to support those investors who are passionate about understanding the fundamentals, and helping those investors who strive to learn and improve their mental models.

Don't Use Stock Market Predictions for Anything Other Than Entertainment

The financial media likes to obsess about the stock market's future. They provide minute by minute coverage of every fluctuation in the markets like it's a competitive sport.

If you watch/read Bloomberg CNBC Money, or any other financial news outlet - you'll be bombarded with pundits flashing authoritative credentials, pontificating on the direction of the markets.

This might lead you to believe that the best path to stock market investing success is to try to guess which way the market is going, and bet accordingly.

But what's important to understand is that the media has its own incentives system. The financial media is driven by views, clicks, and watch time - these benefit from a constant obsession with the market, while investors benefit from buying quality companies at fair prices and holding for the long term.

So If You Can't Trust Stock Market Forecasts, What Should You Do?

Instead of listening to the financial media's prognostications, we should listen to what successful investors themselves have to do and say.

1. Buy and Hold in Companies With a Durable Competitive Advantages

Successful investors like Warren Buffett suggest that investors should focus on long-term fundamentals of companies, rather than the day to day fluctuations of the market.

Warren Buffett's mentor, Benjamin Graham, has been quoted as saying "In the short run, the market is a voting machine but in the long run, it is a weighing machine."

In other words, if you invest at a fair price into companies with good fundamentals and a durable competitive advantage, then you shouldn't care what the price of the stock is on any given day, since the stock price on any given day is a reflection of the fear and greed of other investors, rather than the actual value of the company's underlying business and cash flows.

But over long periods of time, the stock market will recognize a company's consistent long term performance and adjust accordingly. Quality companies will continue to generate outsized earnings and reinvest into growth, or pay dividends for the long-term.

2. Don't Try to Time the Market

Instead of monitoring the price of stocks, Warren Buffett suggests that you should be focused on a company's fundamentals.

In practical terms, you should only adjust your investment if the underlying fundamentals of the company change, not whether the price changes.

"The money is made in investments by investing," Buffett said in a 2016 interview with CNBC, "and by owning good companies for long periods of time. If they buy good companies, buy them over time, they're going to do fine 10, 20, 30 years from now."

"If they're trying to buy and sell stocks, and worry when they go down a little bit … and think they should maybe sell them when they go up, they're not going to have very good results," Buffett said.

The billionaire investor Ray Dalio, founder of Bridgewater Associates, the largest hedge fund in the world with $160 Billion dollars under management, teaches that trying to perfectly time the market is something that even professionals like himself often fail at, and that the average person would find almost impossible to do successfully.

"To [time the market] well you have to beat the pros, who themselves typically can't do that well."

3. Diversify Your Portfolio Into Uncorrelated Investments

In his book Principles, Dalio talks about mistakes he made early in his investing career.

In August 1982, Mexico defaulted on its debt. Dalio had been one of the few people to see this coming, and as a result he received press coverage for his successful forecast. Congress invited him to testify on the crisis.

He publicly and confidently stated to anyone who would listen that the market was headed for a depression, and he explained his reasoning. His hedge fund made a massive bet on this stock market prediction. He went on Wall $treet Week, then the must-watch show for anyone in the markets, and declared:

"There'll be no soft landing. I can say that with absolute certainty, because I know how the markets work."

As Dalio would say in this book, "I was dead wrong." It was devastating for him - not only did he feel incredibly humbled for being so publicly wrong, but it cost him everything at his fund. After 8 years in business, he had to let go of his staff and became the only employee at Bridgewater. He had to start over again from scratch.

The biggest lesson Dalio learned was that no matter how sure he was, he would never again be certain enough to make any forecasts with absolute certainty. He was reminded of how difficult it is to time the markets. In the future, he would learn to balance risks in ways that would keep the big upside, while reducing downside.

"Truth be known, forecasts aren't worth very much, and most people who make them don't make money in the markets...This is because nothing is certain and when one overlays the probabilities of all of the various things that affect the future in order to make a forecast, one gets a wide array of possibilities with varying probabilities, not one highly probable outcome."

No matter how confident he was in any single bet, Dalio knew going forward that he could still be wrong, and that he needed to be properly diversified to reduce risks without reducing returns. Dalio would build portfolios that incorporated high quality return streams that balanced each other out, providing a more consistent and reliable return, and not risking ruin on any single stock market prediction.

"You need to diversify by holding assets that will do well in either a rising or a falling growth environment, or a rising or falling inflation environment, and [you] should diversify by holding international as well as domestic asset classes."

WallStreetZen does not provide financial advice and does not issue recommendations or offers to buy stock or sell any security.

Information is provided 'as-is' and solely for informational purposes and is not advice. WallStreetZen does not bear any responsibility for any losses or damage that may occur as a result of reliance on this data.