Penguin Solutions, Inc. (PENG) is a Fremont, California-based provider of AI and high-performance computing infrastructure, operating through Advanced Computing, Integrated Memory, and Optimized LED segments. It is a stock, not an ETF.
Seven current, attributable analyst price targets were reviewed. The low-to-high range is $60 to $100. The overall arithmetic mean of all seven targets is about $86. However, because the sole bearish target (Barclays' $60 Underweight) sits below the current share price and pulls the overall average to only about 10% above the price, the central $90 target used here is the average of the six analyst targets that are above the current price — four at $85 and two at $100.
The bullish cluster reflects post-earnings revisions. Rosenblatt Securities (analyst Sajal Dogra) raised its target to $100 from $80, arguing the latest results "pulled our bull case forward by a full year." Bank of America (Wamsi Mohan) initiated coverage with a Buy and a $100 target, valuing the shares at 18 times projected fiscal 2028 EPS (earnings per share) of $5.43. Goldman Sachs, Stifel, and Needham each moved to $85 Buy ratings. Barclays (Tom O'Malley) raised its target to $60 from $40 but kept an Underweight, flagging expected year-over-year gross-margin pressure. The $40-point spread between the highest and lowest targets signals unusually wide disagreement about how durable the memory-driven profit cycle will be.
As of mid-October 2026, PENG shares trade near $78, not far below their 52-week high of $89.86 and far above the 52-week low of $16.04. Reaching $90 would require a rise of roughly 15% from current levels — a substantial move that would also require clearing the existing 52-week high, a meaningful technical hurdle.
The company's fiscal fourth-quarter results, reported October 6, gave the stock a sharp lift. Record quarterly net sales of $566.7 million rose 68% year over year, while non-GAAP (non-Generally Accepted Accounting Principles) diluted EPS of $1.00 climbed 133%. Integrated Memory revenue jumped 158% year over year on both volume and pricing, and AI-driven businesses grew 141%. Management guided fiscal 2027 net sales to about $2.43 billion at the midpoint, roughly 40% growth, with non-GAAP diluted EPS of about $4.45, up roughly 55%.
The stock's long-term trend is clearly upward, with the 50-day and 200-day moving averages well below the current price. The $89.86 52-week high is the most important resistance level, because the $90 target lies just above it. Below the price, the recent consolidation zone around $72 to $75 and the psychological $70 level represent nearby support. Momentum indicators have signaled overbought conditions after the sharp post-earnings rally, a reminder that near-term pullbacks are possible even within a strong uptrend.
Analyst price targets typically reflect a roughly 12-month research horizon, though individual firms may model longer periods (BofA's $100 target is tied to fiscal 2028 earnings). Investors should watch upcoming quarterly earnings and guidance updates, analyst estimate revisions, DRAM and memory pricing trends, neocloud customer wins, and any commentary on gross margins. Broader signals — AI infrastructure capital spending and semiconductor memory cycles — will also shape the path toward the target.
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Reaching $90 from roughly $78 requires about 15% upside — a substantial but not extreme move — and would put the shares just above their 52-week high. The strongest supports are accelerating AI-memory and infrastructure demand, a meaningfully raised fiscal 2027 outlook, and a cluster of recent Buy-rated target increases. The principal obstacles are expected gross-margin pressure, memory-price cyclicality, and a wide $60-to-$100 analyst range that underscores how sharply Wall Street disagrees on durability. Because the central $90 figure is the average of the six analyst targets above the current price (rather than a published consensus), investors should weigh the full $60-to-$100 range and monitor earnings, margins, and memory pricing rather than treating any single number as a forecast.
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A.I.dvisor indicates that over the last year, PENG has been loosely correlated with TER. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if PENG jumps, then TER could also see price increases.
| Ticker / NAME | Correlation To PENG | 1D Price Change % | ||
|---|---|---|---|---|
| PENG | 100% | -13.57% | ||
| TER - PENG | 57% Loosely correlated | -5.48% | ||
| UCTT - PENG | 53% Loosely correlated | -6.93% | ||
| COHU - PENG | 52% Loosely correlated | -7.25% | ||
| QCOM - PENG | 52% Loosely correlated | -2.40% | ||
| ENTG - PENG | 51% Loosely correlated | -5.01% | ||
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| Ticker / NAME | Correlation To PENG | 1D Price Change % |
|---|---|---|
| PENG | 100% | -13.57% |
| Technology Services category (396 stocks) | 11% Poorly correlated | +1.05% |
| Information Technology Services category (77 stocks) | 6% Poorly correlated | +0.47% |