AnalystsInsight

David Martin PhD (Bloom Burton): Analyst Track Record and Price‑Target Accuracy

How often David Martin PhD’s price targets were reached, how fast, and what the stocks did after each call: a 7‑year backtest of 108 ratings, compared with the average Wall Street analyst.

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

Key takeaways

David Martin PhD ranks #505 of 1,000 analysts in Exent’s scoring (4.8★).
38.0% of price targets were reached over 7 years, versus 52.4% for the average analyst.
Median time to reach a target: 76 days; 52.8% of calls were up 12 months later.
Most‑covered stocks: TSX-HLS, TSXV-RX, TSX-MBX, TSX-GUD.
Free on Exent: David Martin PhD’s full record, with ratings 3 days after publication.

In this article

David Martin PhD’s track record at a glance
How fast price targets were reached
Stocks David Martin PhD covers most
David Martin PhD’s latest ratings
How Exent scores analysts

David Martin PhD’s track record at a glance

David Martin PhD of Bloom Burton ranks #505 of the 1,000 analysts Exent scores, with a 4.8★ rating and a focus on healthcare. Over a 7‑year lookback, 38.0% of David’s price targets were reached, 14.4 points below the 52.4% average across all analysts.

Metric	David Martin PhD	All analysts
Price‑target hit rate	38.0%	52.4%
Median days to hit target	76 days	91 days
Calls up after 12 months	52.8%	64.0%
Median 12‑month return of calls	+7.6%	+13.4%
Hit rate, last 2 years	54.6%	—
Average worst drop after a call	−27.1%	—
Ratings in the sample	108	—
Stocks covered	17	—

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.

See the top-ranked analysts in Gems

How fast price targets were reached

Time to reach the target	David Martin PhD
Under 30 days	31.6%
30–90 days	31.6%
90–180 days	15.8%
Over 180 days	21.1%

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

Stocks David Martin PhD covers most

Stock	Ratings in the sample
TSX-HLS	43
TSXV-RX	41
TSX-MBX	40
TSX-GUD	40
TSX-MDP	39
AUPH	37
TSX-CRRX	34
ZYME	26

In the past year David’s ratings were 91% Buy, 9% Hold and 0% Sell.

David Martin PhD’s latest ratings

Date	Stock	Action	Rating	Price target
Aug 26, 2026	ZYME	Reiterated: Buy	Buy	$37.00
Aug 24, 2026	TSXV-RX	Reiterated: Buy	Buy	$18.00
Aug 20, 2026	AUPH	Upgraded: Buy	Buy	$21.00
Aug 14, 2026	TSX-MBX	Reiterated: Buy	Buy	$0.40
Aug 13, 2026	TSX-HLS	Reiterated: Buy	Buy	$12.00
Aug 13, 2026	TSX-APTX	Reiterated: Buy	Buy	$40.00
Aug 12, 2026	TSX-MDP	Reiterated: Buy	Buy	$6.50
Aug 10, 2026	AUPH	Reiterated: Hold	Hold	$15.00
Aug 7, 2026	TSX-GUD	Reiterated: Buy	Buy	$12.00
Aug 5, 2026	ASX-PYC	Reiterated: Buy	Buy	$5.00
Aug 3, 2026	TSX-EPRX	Reiterated: Buy	Buy	$19.81
Jul 31, 2026	TSX-CRRX	Reiterated: Buy	Buy	$5.00

Aug 26, 2026
Stock
ZYME
Action
Reiterated: Buy
Rating
Buy
Price target
$37.00
Aug 24, 2026
Stock
TSXV-RX
Action
Reiterated: Buy
Rating
Buy
Price target
$18.00
Aug 20, 2026
Stock
AUPH
Action
Upgraded: Buy
Rating
Buy
Price target
$21.00
Aug 14, 2026
Stock
TSX-MBX
Action
Reiterated: Buy
Rating
Buy
Price target
$0.40
Aug 13, 2026
Stock
TSX-HLS
Action
Reiterated: Buy
Rating
Buy
Price target
$12.00
Aug 13, 2026
Stock
TSX-APTX
Action
Reiterated: Buy
Rating
Buy
Price target
$40.00
Aug 12, 2026
Stock
TSX-MDP
Action
Reiterated: Buy
Rating
Buy
Price target
$6.50
Aug 10, 2026
Stock
AUPH
Action
Reiterated: Hold
Rating
Hold
Price target
$15.00
Aug 7, 2026
Stock
TSX-GUD
Action
Reiterated: Buy
Rating
Buy
Price target
$12.00
Aug 5, 2026
Stock
ASX-PYC
Action
Reiterated: Buy
Rating
Buy
Price target
$5.00
Aug 3, 2026
Stock
TSX-EPRX
Action
Reiterated: Buy
Rating
Buy
Price target
$19.81
Jul 31, 2026
Stock
TSX-CRRX
Action
Reiterated: Buy
Rating
Buy
Price target
$5.00

David’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 David Martin PhD’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 David Martin PhD ranks #505 of 1,000 with a 4.8★ rating. 38.0% of price targets were reached over a 7-year lookback (all analysts: 52.4%), and 52.8% of calls were up 12 months later. Past accuracy does not guarantee future accuracy.

David Martin PhD’s success rate is 54.0% by the ranking source and 38.0% by Exent’s price-target hit-rate backtest, with a median of 76 days to reach a target.

David Martin PhD (Bloom Burton) covers 17 stocks, mostly in healthcare. The most frequently rated are TSX-HLS, TSXV-RX, TSX-MBX, TSX-GUD, TSX-MDP.

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

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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