AnalystsInsight

Michele Della Vigna (Goldman Sachs): Analyst Track Record and Price‑Target Accuracy

How often Michele Della Vigna’s price targets were reached, how fast, and what the stocks did after each call: a 7‑year backtest of 28 ratings, compared with the average Wall Street analyst.

Reviewed by:David, Senior AnalystPublished Oct 12, 2026Updated Oct 16, 20263 min readHow we research

Key takeaways

Michele Della Vigna ranks #740 of 1,000 analysts in Exent’s scoring (4.7★).
16.7% of price targets were reached over 7 years, versus 52.4% for the average analyst.
Median time to reach a target: 22 days; 100.0% of calls were up 12 months later.
Most‑covered stocks: LON-BP, EPA-TTE, BIT-ENI, LON-SHEL.
Free on Exent: Michele Della Vigna’s full record, with ratings 3 days after publication.

In this article

Michele Della Vigna’s track record at a glance
How fast price targets were reached
Stocks Michele Della Vigna covers most
Michele Della Vigna’s latest ratings
How Exent scores analysts

Michele Della Vigna’s track record at a glance

Michele Della Vigna of Goldman Sachs ranks #740 of the 1,000 analysts Exent scores, with a 4.7★ rating and a focus on energy. Over a 7‑year lookback, 16.7% of Michele’s price targets were reached, 35.7 points below the 52.4% average across all analysts.

Metric	Michele Della Vigna	All analysts
Price‑target hit rate	16.7%	52.4%
Median days to hit target	22 days	91 days
Calls up after 12 months	100.0%	64.0%
Median 12‑month return of calls	+7.9%	+13.4%
Hit rate, last 2 years	40.0%	—
Average worst drop after a call	−7.7%	—
Ratings in the sample	28	—
Stocks covered	29	—

The full records of Exent’s top 90 analysts and the top 50 of each sector, and the stocks where several of them agree right now, are members‑only in Exent Gems.

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How fast price targets were reached

Time to reach the target	Michele Della Vigna
Under 30 days	50.0%
30–90 days	50.0%
90–180 days	0.0%
Over 180 days	0.0%

Share of the targets that were reached, by how long they took. Targets are usually set for 12 months.

Stocks Michele Della Vigna covers most

Stock	Ratings in the sample
LON-BP	55
EPA-TTE	43
BIT-ENI	43
LON-SHEL	39
LON-CWR	30
LON-0O46	28
LON-HBR	19
BME-REP	18

In the past year Michele’s ratings were 59% Buy, 25% Hold and 16% Sell.

Michele Della Vigna’s latest ratings

Date	Stock	Action	Rating	Price target
Sep 11, 2026	EPA-TTE	Reiterated: Hold	Hold	$82.00
Sep 11, 2026	LON-ITH	Reiterated: Hold	Hold	$0.00
Sep 11, 2026	LON-SHEL	Reiterated: Buy	Buy	$0.00
Sep 11, 2026	BIT-ENI	Reiterated: Buy	Buy	$0.00
Sep 11, 2026	LON-BP	Reiterated: Buy	Buy	$0.00
Sep 11, 2026	BME-REP	Reiterated: Buy	Buy	$0.00
Sep 10, 2026	LON-HBR	Upgraded: Buy	Buy	$350.00
Sep 1, 2026	EPA-VIRI	Reiterated: Buy	Buy	$118.00
Aug 21, 2026	LON-ITH	Rated: Hold	Hold	$260.00
Aug 10, 2026	EPA-VK	Reiterated: Buy	Buy	$28.30
Aug 6, 2026	LON-HBR	Upgraded: Hold	Hold	$250.00
Aug 5, 2026	LON-BP	Reiterated: Buy	Buy	$660.00

Sep 11, 2026
Stock
EPA-TTE
Action
Reiterated: Hold
Rating
Hold
Price target
$82.00
Sep 11, 2026
Stock
LON-ITH
Action
Reiterated: Hold
Rating
Hold
Price target
$0.00
Sep 11, 2026
Stock
LON-SHEL
Action
Reiterated: Buy
Rating
Buy
Price target
$0.00
Sep 11, 2026
Stock
BIT-ENI
Action
Reiterated: Buy
Rating
Buy
Price target
$0.00
Sep 11, 2026
Stock
LON-BP
Action
Reiterated: Buy
Rating
Buy
Price target
$0.00
Sep 11, 2026
Stock
BME-REP
Action
Reiterated: Buy
Rating
Buy
Price target
$0.00
Sep 10, 2026
Stock
LON-HBR
Action
Upgraded: Buy
Rating
Buy
Price target
$350.00
Sep 1, 2026
Stock
EPA-VIRI
Action
Reiterated: Buy
Rating
Buy
Price target
$118.00
Aug 21, 2026
Stock
LON-ITH
Action
Rated: Hold
Rating
Hold
Price target
$260.00
Aug 10, 2026
Stock
EPA-VK
Action
Reiterated: Buy
Rating
Buy
Price target
$28.30
Aug 6, 2026
Stock
LON-HBR
Action
Upgraded: Hold
Rating
Hold
Price target
$250.00
Aug 5, 2026
Stock
LON-BP
Action
Reiterated: Buy
Rating
Buy
Price target
$660.00

Michele’s ratings are free on Exent 3 days after publication. Exent Gems has them the same day, with the calls of the top‑ranked analysts and the stocks where several of them agree.

See the top-ranked analysts in Gems

How Exent scores analysts

Exent replays every rating with a price target over a 7‑year lookback: was the target reached, how long it took, and what the stock returned 1, 3, 6 and 12 months after the call. The star rating and rank combine success rate, average return and the number of ratings, so a few lucky calls do not make a top analyst. Statistics as of Jun 24, 2026; ranking updated Oct 20, 2026. How accurate are analyst price targets overall?

Past performance does not guarantee future results. Historical figures are calculated by Exent from market data and are for education only; they are not investment advice or a recommendation to buy or sell any security.

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Exent Gems shows Michele Della Vigna’s live ratings and those of the top‑ranked analysts, without the 30‑day delay used on this page.
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Frequently asked questions

By Exent’s scoring Michele Della Vigna ranks #740 of 1,000 with a 4.7★ rating. 16.7% of price targets were reached over a 7-year lookback (all analysts: 52.4%), and 100.0% of calls were up 12 months later. Past accuracy does not guarantee future accuracy.

Michele Della Vigna’s success rate is 65.4% by the ranking source and 16.7% by Exent’s price-target hit-rate backtest, with a median of 22 days to reach a target.

Michele Della Vigna (Goldman Sachs) covers 29 stocks, mostly in energy. The most frequently rated are LON-BP, EPA-TTE, BIT-ENI, LON-SHEL, LON-CWR.

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DISCLAIMER: Exent AI is an informational research platform and does not provide investment advice, financial advice, or act as an investment adviser, broker-dealer, or fiduciary. All content, analytics, and model outputs are provided for educational and informational purposes only and should not be relied upon as a recommendation to buy, sell, or hold any financial instrument. Investing involves risk, including the possible loss of principal. Exent AI does not execute trades, hold customer funds, or provide brokerage services. Past performance and hypothetical results are not indicative of future results. Third-party data and AI-generated outputs may be incomplete or inaccurate.

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