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Which Bank Has the Best Stock Analysts?

Goldman Sachs, Morgan Stanley or J.P. Morgan? What Exent’s data on 1,148 ranked analysts shows about firm size, the big banks, and why the analyst matters more than the logo.

Published Updated 6 min readHow we research

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Key takeaways

  • No bank is reliably best. In Exent’s data, analysts at nine large global banks had a median price-target hit rate of 59.4%, against 53.1% at other firms, but the spread inside every bank was far wider than the gap between them.
  • Goldman Sachs, J.P. Morgan and Morgan Stanley analysts had median hit rates of 64.0%, 57.9% and 58.0%; within each bank, the middle half of analysts spanned roughly 14 to 16 points.
  • The most accurate analysts are spread widely: in the same data, 120 five-star analysts worked outside the nine big banks, against 26 inside them.
  • Firm results also reflect what they cover. Healthcare analysts had a median hit rate of 42.6% against 60.0% in technology.

Which stocks do Wall Street’s best‑ranked analysts agree on? See them in Exent Gems →

Which bank has the best stock analysts?

None consistently. The bank is a weak guide to the quality of a single analyst. In Exent’s 7-year backtest of the 1,148 ranked analysts, large global banks did score higher as a group. But each bank employs analysts with very different records, and many of the strongest records sit at mid-size and specialist firms.

The useful question is not “which bank?” but “which analyst, on which stocks?” That is what ranking analysts by accuracy tries to answer.

Are big-bank analysts more accurate than smaller firms?

Somewhat, on average. Analysts at nine large global banks had a higher median hit rate than the rest. Accuracy here means the share of bullish price targets reached within 12 months.

Firm groupRanked analysts5★ analystsMedian hit rateMiddle half of analystsMedian 12-month call return
Nine large global banks2982659.4%51.0%–67.5%15.6%
All other firms85012053.1%41.7%–62.0%13.1%
Firms with 20+ ranked analysts6247956.0%46.8%–64.4%14.3%
Firms with 10–192894153.8%40.7%–63.6%13.3%
Firms with fewer than 102352651.4%39.1%–60.7%13.1%
  • Nine large global banks
    Ranked analysts
    298
    5★ analysts
    26
    Median hit rate
    59.4%
    Middle half of analysts
    51.0%–67.5%
    Median 12-month call return
    15.6%
  • All other firms
    Ranked analysts
    850
    5★ analysts
    120
    Median hit rate
    53.1%
    Middle half of analysts
    41.7%–62.0%
    Median 12-month call return
    13.1%
  • Firms with 20+ ranked analysts
    Ranked analysts
    624
    5★ analysts
    79
    Median hit rate
    56.0%
    Middle half of analysts
    46.8%–64.4%
    Median 12-month call return
    14.3%
  • Firms with 10–19
    Ranked analysts
    289
    5★ analysts
    41
    Median hit rate
    53.8%
    Middle half of analysts
    40.7%–63.6%
    Median 12-month call return
    13.3%
  • Firms with fewer than 10
    Ranked analysts
    235
    5★ analysts
    26
    Median hit rate
    51.4%
    Middle half of analysts
    39.1%–60.7%
    Median 12-month call return
    13.1%

Source: Exent’s analyst data, statistics as of Nov 2, 2026. The nine banks are Bank of America Securities, Barclays, Citi, Deutsche Bank, Goldman Sachs, J.P. Morgan, Morgan Stanley, UBS and Wells Fargo. “Middle half” is the range from the 25th to the 75th percentile analyst.

Notice the overlap: the middle half of analysts at other firms reached 41.7%–62.0% of their targets, against 51.0%–67.5% at the big banks. And 120 of the 146 5★ analysts worked outside the big banks: 14.1% of analysts at other firms were rated 5★, against 8.7% at the big banks.

Goldman Sachs vs Morgan Stanley vs J.P. Morgan: how do their analysts compare?

The differences between them were smaller than the spread within each bank. Listed alphabetically:

BankRanked analystsMedian hit rateMiddle half of its analystsMedian share of calls up after 12 monthsMedian days to hit
Goldman Sachs2864.0%53.4%–69.3%69.7%81
J.P. Morgan4557.9%50.4%–64.0%67.3%86
Morgan Stanley3458.0%49.6%–63.8%64.7%79
BankGoldman SachsJ.P. MorganMorgan Stanley
Ranked analysts284534
Median hit rate64.0%57.9%58.0%
Middle half of its analysts53.4%–69.3%50.4%–64.0%49.6%–63.8%
Median share of calls up after 12 months69.7%67.3%64.7%
Median days to hit818679

Past track record, statistics as of Nov 2, 2026. Each bank’s profile has the full breakdown by sector and analyst: Goldman Sachs, J.P. Morgan and Morgan Stanley. Small samples matter: a bank with 28 ranked analysts can move a few points if two analysts leave or join.

Why do firm averages mislead?

Because firms cover different kinds of stocks, and some sectors are much harder to call. The gap between sectors is bigger than the gap between banks (sector medians as of Nov 2, 2026):

SectorRanked analystsMedian hit rate
Technology26060.0%
Materials10459.5%
Industrials18057.2%
Consumer Staples1356.2%
Financials16854.0%
Energy7953.2%
Consumer Discretionary7052.3%
Communication Services5651.8%
Utilities2943.8%
Healthcare16542.6%
Real Estate2436.0%

A boutique that specializes in small biotech stocks will look worse than a bank covering large technology companies, even if its analysts are just as skilled. Compare analysts against peers in the same sector. More in analyst accuracy by sector.

Exent’s top 50 analysts

Across 958,671 ratings, the average Wall Street analyst’s price target was reached 53.1% of the time: close to a coin flip. The spread between analysts is wide, and 14.9% of the 942 analysts with a measurable record reached 70% or more (Exent data, Nov 2, 2026).

Exent Gems is built on the top 50 of Exent’s ranking. Over the last two years, some of them reached 90% or more of their price targets. Who they are, which stocks they are calling now and how often they have been right is for members.

What about published analyst rankings and polls?

Industry polls ask fund managers which analysts they value. That rewards access, service and insight, not only the accuracy of ratings and targets. A highly voted analyst may be prized for industry knowledge even if their price targets miss often. A record-based ranking asks a narrower question: how did this analyst’s past calls actually play out? Both are useful. They answer different things. See how to judge an analyst.

How should you decide whose ratings to trust?

  • Judge the analyst, not the bank: look up their own hit rate and number of calls.
  • Compare within a sector, since some sectors are far harder to call than others.
  • Prefer long records with many calls over a few lucky ones.
  • Check whether the record held up recently, not only years ago.
  • Give more weight when several strong analysts at different firms agree independently.

A public ranking of analysts by past accuracy makes the first and fourth checks quick. Treat any rating as one input to your own research, not as advice.

How to check an analyst’s record with Exent

  1. Look up any analyst in Exent’s rankings: thousands of Wall Street analysts scored by past price-target accuracy, with their sector and number of calls.
  2. Open an analyst profile to see their price targets and how their past calls played out.
  3. Stocks Radar flags Gems: stocks where several of the best-rated analysts agree. Treat them as research leads, not advice.

Exent is our product. Educational content, not investment advice.

Frequently asked questions

In Exent’s data, Goldman Sachs analysts had a median price-target hit rate of 64.0%, against 57.9% at J.P. Morgan and 58.0% at Morgan Stanley. The spread among analysts inside each bank was larger than the gap between banks.

On average their analysts had higher hit rates in Exent’s data, 59.4% against 53.1%. But most 5-star analysts worked at other firms, and sector mix explains part of the gap.

In Exent’s data, technology and materials analysts had the highest median hit rates, 60.0% and 59.5%. Healthcare and real estate analysts were lowest, at 42.6% and 36.0%.

Not by itself. The individual analyst’s track record on similar stocks is a better guide than the firm’s name.

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Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.

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