Because SPUS is an exchange-traded fund (ETF), it has no direct sell-side analyst price targets of its own. Instead, market-data platforms estimate an implied objective by aggregating the 12-month analyst targets of the roughly 215 to 217 stocks the fund holds and weighting them by portfolio weight. TipRanks has published an implied average price target near $70 for SPUS, with a broad high-to-low spread reflecting the wide range of views across its holdings. That figure is the basis for the $70 objective in this article and should be read as a "market outlook" benchmark rather than an official consensus on the ETF itself. Roughly 191 of the holdings' analyst ratings are buy-equivalent, 24 are hold, and one is sell, giving an overall bullish tilt that nevertheless masks meaningful disagreement across individual names.
The SP Funds S&P 500 Sharia Industry Exclusions ETF has traded recently near $59.20, close to the upper end of its 52-week range of $46.43 to $61.42. A move to $70 represents about 18% upside, which is substantial relative to the fund's recent trading history and would require a decisive break above the prior 52-week high of roughly $61.42. The fund carries about $3.3 billion in assets under management (AUM) and charges a 0.45% expense ratio. Its portfolio is dominated by information technology, with NVDA, AAPL, MSFT, GOOGL, and AVGO among the largest positions, and the top ten holdings account for more than half of assets.
The fund's trajectory is closely tied to large-cap U.S. technology and AI-linked earnings momentum. Because the Sharia screen removes lower-multiple financials, SPUS structurally tilts toward growth names, and its benchmark sensitivity — a beta of roughly 1.1 — means it amplifies S&P 500 moves modestly. Continued earnings growth from mega-cap technology, sustained investor demand for Sharia-compliant equity exposure, and a broadening of the rally beyond the largest names could all lift the portfolio toward the $70 level. Stable-to-lower interest rates would also tend to support the fund's growth-heavy, longer-duration holdings, since discounted future earnings rise when rates fall.
Concentration is the principal risk: the top five holdings account for roughly 45% of assets, so a drawdown in a handful of large technology stocks would weigh heavily on the fund. Valuation is another headwind, with the portfolio's price-to-earnings ratio well above the long-term S&P 500 average, leaving limited margin of safety if earnings growth disappoints. Because SPUS excludes interest-bearing financials, it also forgoes any benefit from a rate-cut-driven bank rally. A rise in long-term Treasury yields, a growth scare, or an AI-capex pullback at major hyperscalers could suppress the multiple and keep the fund below $70. Finally, the $61.42 prior high is a meaningful technical resistance level that the fund would need to clear convincingly.
SPUS has been consolidating in the high $50s to low $60s after a strong run from its 52-week low near $46. The $61.42 area marks both the 52-week high and a clear resistance zone that has capped recent advances. On the downside, the $57–$58 band has served as a support level in recent sessions, with the $55 area representing a deeper floor. A sustained move above $61.42 would open the path toward round-number territory in the mid-$60s and, ultimately, $70, while a failure to hold support could signal a retest of lower levels.
The implied $70 objective is anchored in 12-month analyst targets on the fund's holdings, so it is best understood as a research-horizon figure rather than a near-term prediction. Because mega-cap technology earnings effectively set the fund's quarterly return, investors should monitor results and guidance from NVIDIA, Apple, Microsoft, Alphabet, and Broadcom, as well as AI-capex commentary from hyperscalers. Macroeconomic items — notably Federal Reserve rate decisions, inflation data, and long-term Treasury yields — are equally important for a growth-heavy, rate-sensitive portfolio. Fund-flow data and any changes in the top holdings' weights are also worth tracking.
Tickeron's AI Daily Buy/Sell Signals use artificial intelligence to continuously monitor thousands of stocks and ETFs and generate Buy, Sell, or Hold signals as market conditions, technical behavior, and AI-driven analysis evolve. For an ETF like SPUS, these signals can help traders spot changing trends, discover new opportunities, and monitor existing positions more efficiently than manual chart review alone. Whether you are tracking a Sharia-compliant fund or a single stock, automated signal generation offers a time-saving way to stay aligned with shifting momentum. Explore the AI Daily Buy/Sell Signals to see how this approach fits into your own process.
Can the SP Funds S&P 500 Sharia Industry Exclusions ETF reach $70? The objective is plausible but far from assured. It is an implied figure built from analyst targets on the fund's holdings, not a direct consensus on SPUS itself, and it sits roughly 18% above the recent price — a substantial move that would require the fund to break decisively above its 52-week high. Support could come from continued mega-cap technology earnings strength and a constructive rate environment, while concentration, rich valuation, and the exclusion of financials represent the main obstacles. Investors should watch big-tech earnings, Federal Reserve policy, and Treasury yields as the clearest near-term signals of whether the path toward $70 remains open.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
A.I.dvisor indicates that over the last year, SPUS has been closely correlated with VONG. These tickers have moved in lockstep 98% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPUS jumps, then VONG could also see price increases.
| Ticker / NAME | Correlation To SPUS | 1D Price Change % | ||
|---|---|---|---|---|
| SPUS | 100% | -1.39% | ||
| VONG - SPUS | 98% Closely correlated | -1.17% | ||
| SCHG - SPUS | 98% Closely correlated | -0.99% | ||
| SPYG - SPUS | 97% Closely correlated | -1.04% | ||
| IVW - SPUS | 97% Closely correlated | -1.05% | ||
| VUG - SPUS | 95% Closely correlated | -1.21% | ||
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