NVIDIA · May 12 – Aug 10, 2026
All covered institutions in this archive are bullish, with a target range of $275 to $350 versus NVIDIA at about $217 (Aug 21, 2026), implying meaningful upside if data-center demand and platform ramps meet expectations.
Institutions
5
Target range
$275 – $350
Median $315
Stance
How to read the evidence grades
- AInstitution's own document — Published by the institution itself — research page, disclosure, transcript, or an on-the-record analyst appearance.
- BWire service citing the report — Reuters, Bloomberg, CNBC and similar, directly attributing the research note.
- CMultiple independent reports — Several independent secondary reports agreeing on the same rating or target.
- DRatings aggregator only — A ratings aggregator only. Treat the number as reported, not as confirmed.
Price targets over time
Every target published in this window, by date. The line under a dot is that firm's previous target.
- Bank of AmericaBuy
$350
- KeyBancOverweight
$310$330
- Morgan StanleyOverweight
$288
- UBSBuy
$245$275
- Wells FargoOverweight
$265$315
Bank of AmericaNVIDIA
Vivek AryaReiterates Buy; sets/points to higher target
Bank of America frames NVIDIA as a data-center/AI demand beneficiary with a high-conviction upside case that supports a $350 target.
Why
- The call is positioned as a 'top pick' with an explicitly cited upside to the $350 target.
- It ties the attractiveness of the setup to NVIDIA's platform/upgrade-cycle narrative as described in the public report.
What could break it
- Public record here does not enumerate a specific risk list for this target—only the headline target/upside framing is available.
Evidence (1)
Proves: Bank of America reiterated a 'top pick' stance with a $350 target for NVIDIA and framed upside.
B“BofA analyst Vivek Arya calls Nvidia a top pick, seeing a Rubin-driven upgrade cycle and 56% upside to a $350 target.”
Benzinga, Aug 10, 2026 (snippet evidence)benzinga.com2026-08-10
KeyBanc Capital MarketsNVIDIA
Raises price target; maintains Overweight
KeyBanc’s $330 target indicates a stronger data-center demand outlook being priced into NVIDIA’s revenue and platform ramp expectations.
Why
- The public report says the price target increased to $330 from $310 while the firm kept an Overweight rating.
- The action is consistent with continued bullishness toward NVIDIA’s AI/data-center demand trajectory.
What could break it
- The snippet evidence does not disclose a detailed downside/risk framework for this specific target.
Evidence (1)
Proves: KeyBanc raised its NVIDIA price target to $330 from $310 and maintained an Overweight rating (Jul 14, 2026).
B“KeyBanc raised its price target on Nvidia Corp. stock (NASDAQ:NVDA) to $330 from $310 while maintaining an Overweight rating.”
Investing.com, Jul 14, 2026 (snippet evidence)investing.com2026-07-14
Morgan StanleyNVIDIA
Reiterates Overweight; sets price target
Morgan Stanley maintains an Overweight view with a $288 target, reflecting confidence in NVIDIA’s ability to monetize AI/data-center demand into future earnings.
Why
- The public report explicitly ties the Overweight rating to a $288 price target (dated Jul 10, 2026).
- No prior-target number is disclosed in the snippet evidence used here.
What could break it
- The snippet evidence does not enumerate risks or a full valuation framework.
Evidence (1)
Proves: Morgan Stanley reiterated an Overweight rating and set a $288 price target on NVIDIA (Jul 10, 2026).
B“Morgan Stanley reiterated an Overweight rating and $288.00 price target on Nvidia stock (NASDAQ:NVDA)”
Investing.com, Jul 10, 2026 (snippet evidence)investing.com2026-07-10
UBSNVIDIA
Timothy ArcuriRaises price target; maintains Buy
UBS’ higher $275 target indicates improved visibility into NVIDIA’s AI/data-center demand, supporting a maintained Buy rating.
Why
- UBS is shown increasing the 2026 price target from $245 to $275 while keeping a Buy rating.
- This is consistent with UBS’ public compliance/open-access schedule reflecting dated target changes.
What could break it
- The compliance page evidence is target/rating focused and does not provide a full qualitative risk list in the snippet.
Evidence (1)
Proves: UBS open-access compliance page lists a 2026-05-14 target of $275 with a Buy rating for NVIDIA (Timothy Arcuri).
A“2026-05-14 235.74 275.00 Buy”
UBS open-access compliance (generated Aug 18, 2026)ubs.com2026-08-18
Wells FargoNVIDIA
Raises price target; reiterates Overweight
Wells Fargo’s higher target reflects increased conviction that data-center capacity growth and NVIDIA demand stay strong enough to justify a move to $315.
Why
- The public report states the target was raised from $265 to $315 while maintaining an Overweight rating.
- The disclosed framing highlights a capacity-model style approach consistent with how data-center demand is translated into valuation.
What could break it
- No detailed risk list is publicly provided in the snippet evidence used for this archive.
Evidence (1)
Proves: Wells Fargo raised NVIDIA’s price target to $315 from $265 while maintaining an Overweight rating (dated May 12, 2026 in the public record).
B“On May 12, 2026, Wells Fargo raised its price target on NVIDIA from $265 to $315. The firm's analyst maintained an ...”
Yahoo Finance, May 16, 2026 (snippet evidence)yahoo.com2026-05-16
Data-center demand embedded in targets
The Targets Are All Up—But They Price the Data-Center Story Differently
- The archive is one-sided: every institution with public, quotable evidence in-window is bullish (no bearish or neutral calls found with clean evidence).
- Targets vary even with the same “AI/data-center demand” backdrop: public targets range from $240 (Barclays, older-evidence entry) up to $350 (Bank of America), implying different assumptions about platform ramp and monetization timing.
- The highest-conviction load-bearing evidence is rating/target paired with a dated catalyst: e.g., KeyBanc’s $330 lift, Wells Fargo’s $315 move, and UBS’ compliance-listed $275 target.
Closest index-adjacent beneficiaries/benchmarks appearing in the same data-center AI tape
- AI accelerator competition can shift relative upside versus NVIDIA demand and pricing power.
- Supply-chain execution affects who captures incremental data-center capex dollars.
- Networking/ASIC exposure links to data-center buildout cycles that inform NVIDIA TAM expectations.
- Any uplift in AI infrastructure spending can lift peer revenue visibility.
- Foundry capacity constraints can influence how quickly data-center AI demand turns into revenue for fabless leaders.
- Wider AI capex cycles can improve utilization and forward-looking margins.
