{"id":4031,"date":"2026-09-01T01:21:21","date_gmt":"2026-09-01T01:21:21","guid":{"rendered":"http:\/\/blog.valuengine.com\/?p=4031"},"modified":"2026-09-01T01:21:21","modified_gmt":"2026-09-01T01:21:21","slug":"08-24-2026-valuengine-weekly-commentary-will-disruptive-technologies-upend-aerospace-companies-pusa","status":"publish","type":"post","link":"http:\/\/blog.valuengine.com\/index.php\/08-24-2026-valuengine-weekly-commentary-will-disruptive-technologies-upend-aerospace-companies-pusa\/","title":{"rendered":"08\/24\/2026 ValuEngine Weekly Commentary: Will Disruptive Technologies Upend Aerospace Companies? PUSA"},"content":{"rendered":"<p><span style=\"font-size: small;\"><strong>Weekly Market Recap &#8211; Aug 28, 2026<\/strong><br \/>\n<\/span><\/p>\n<p>U.S. equity markets were mixed this past week, with modest gains in the major benchmarks offset by weakness across several defensive and cyclical sectors. The S&amp;P 500 ETF (<strong>SPYM<\/strong>) gained 0.49%, while the NASDAQ 100 ETF (<strong>QQQM<\/strong>) rose 0.42%, supported by strength in Technology (<strong>XLK<\/strong>), Communication Services (<strong>XLC<\/strong>), and Financials (<strong>XLF<\/strong>). However, Small Caps (<strong>VB<\/strong>), Health Care (<strong>XLV<\/strong>), Industrials (<strong>XLI<\/strong>), Energy (<strong>XLE<\/strong>), Real Estate (<strong>XLRE<\/strong>), Materials (<strong>XLB<\/strong>), Consumer Staples (<strong>XLP<\/strong>), and Consumer Discretionary (<strong>XLY<\/strong>) moved lower, showing that market breadth remained selective. Stock-specific momentum continued to stand out, led by Palantir (<strong>PLTR<\/strong>), AngloGold Ashanti (<strong>AU<\/strong>), Gold Fields (<strong>GFI<\/strong>), MongoDB (<strong>MDB<\/strong>), Recruit Holdings (<strong>RCRUY<\/strong>), and Newmont (<strong>NEM<\/strong>), highlighting strength across AI\/software, precious metals, and selected global growth names.<\/p>\n<p style=\"text-align: center;\">Trade ValuEngine supported portfolio strategies,<a href=\"http:\/\/www.valuenginecapital.com\/\" target=\"_blank\" rel=\"noopener\">\u00a0www.ValuEngineCapital.com<\/a><\/p>\n<p><strong>Strategy Note:\u00a0\u00a0<\/strong><\/p>\n<p>A relatively small Florida missile manufacturer, Powerus, made headlines this week when it announced they had secured a dedicated contract to manufacture &#8220;Guardian&#8221; counter-UAS drone interceptors. They recently entered a business combination with a microcap public company called Aureus Greenway Holdings Inc. The latter recently underwent a ticker change to <strong>PUSA<\/strong> in anticipation of changing its name to Powerus. The microcap stock is currently rated a 3 (Hold) in ValuEngine.<\/p>\n<p>The startup effort by Powerus in the United Arab Emirates represents a radical shift in defense procurement. To spin up operations instantly, Powerus did not build a new American factory. Instead, they partnered with an existing, undisclosed regional defense contractor in the UAE. Powerus provides the proprietary 3D-printing schematics, drone software, and training, while the Emirati contractor supplies the actual factory floor and warehouse labor.<\/p>\n<p>Instead of relying on slow, bureaucratic U.S. military exports, the company has decentralized its manufacturing to build weapons directly where the conflict is happening. The facility is currently building about 30 interceptors a day. Across their broader network, they manage roughly 3,000 units per month, with an aggressive blueprint to scale to 15,000 monthly by mid-2027 as automated 3D-printing farms expand. Because the physical hardware is printed and assembled within the borders of the Gulf Cooperation Council (GCC), the operation avoids the lengthy logistical delays of shipping weapons from Florida, while still operating cleanly under relevant U.S. export control laws and authorizations. The resulting weapon is a highly specialized kinetic interceptor optimized to hunt down Iranian-designed Shahed drones.<\/p>\n<p>The paradigm shift demonstrated by startups like Powerus (<strong>PUSA<\/strong>)\u2014combining 3D printing, commercial-off-the-shelf (COTS) components, and localized micro-factories\u2014is fundamentally disrupting the global defense landscape. This model introduces severe cost-symmetry challenges for major players and rewrites the rules for how new companies enter the defense market. Historically, defense primes profited by selling highly sophisticated, exquisite systems (e.g., Lockheed&#8217;s PAC-3 Patriot missiles costing upwards of $4 million each). Militaries are realizing it is financially unsustainable to intercept a $40,000 Iranian Shahed drone with a multi-million dollar missile. Cheap, asymmetric interceptors like the $5,000 Guardian rob the primes of high-margin munition replenishment contracts.<\/p>\n<p>The main takeaway by industry analysts has been that hardware is becoming commoditized. When a weapon body can be 3D printed for pennies by any local machine shop using digital blueprints, the true value shifts entirely to the autonomous tracking software and guidance algorithms. Primes have already started to pivot from heavy industrial manufacturing toward software development to remain competitive. How fast they can pivot given legacy processes still being used now remains to be seen. This new paradigm will probably take two-to-three years to influence top-line revenues and bottom-line earnings. However, since this industry is all about technology, a disruptive paradigm shift of this magnitude will be watched closely.<\/p>\n<p>The flip side of the argument is that the potential cost and time savings hoped for from this contract is just that potential. It has yet to be proven and many things could go wrong. When the bugs are worked out and these methods and co-op arrangements appear to be the way of the future, the extremely profitable largest players are all but certain to find their own solutions whether through buy or build.<\/p>\n<p>In this context, does it still make sense to invest in the major players in the defense industry? According to the ValuEngine rating system, for now, it still does as far as the industry giants go in the top Aerospace ETF in terms of assets under management. We refer to iShares US Aerospace ETF (<strong>ITA<\/strong>) with $14.2 billion in assets. Of the top five holdings in <strong>ITA<\/strong>, four are rated to outperform the market. This includes the industry\u2019s s top two behemoths, GE Aerospace (<strong>GE<\/strong>) and RTX Corp. (<strong>RTX<\/strong>), the latter formed by the Raytheon merger with United Technologies. Both stocks are rated 4 (Buy). We find the 4th and 5th largest holdings even more attractive. Howmet Aerospace (<strong>HWM<\/strong>) and Rocket Labs (<strong>RKLB<\/strong>) both earn our highest rating of 5 (Strong Buy). 5-rated stocks of smaller cap stocks in the industry include: Astronics (<strong>ATRO<\/strong>); ATI, Inc. (<strong>ATI<\/strong>); FTAI Aviation (<strong>FTAI<\/strong>); Intuitive Machines (<strong>LUNR<\/strong>); and Moog Inc. Class A (<strong>MOOG<\/strong>). Only two of these stocks are not considered overvalued by our proprietary valuation mode: <strong>MOOG<\/strong> and <strong>FTAI<\/strong>. Overall, of the 42 stocks in ValuEngine\u2019s <strong>ITA<\/strong> ETF report that were ranked by our valuation model, 26 (63%) were overvalued. In a sideways market, valuations can play an important role in price vulnerabilities. On the other end of the spectrum, two stocks that investors may wish to avoid have similar sounding names. Draganfly Inc. (<strong>DPRO<\/strong>) and Firefly Aerospace (<strong>FLY<\/strong>) are more than 200% overvalued and are rated 2 (Sell). Virgin Galactic (<strong>SPCE<\/strong>) is another stock that falls into this category.<\/p>\n<p>In conclusion, the disruptive innovations in potentially saving billions of dollars and months of time promised in securing its government contracts may be just the tip of the iceberg in changing the dynamics of the defense industry. Whether one refers to the firm by its DBA name Powerus or the legacy, Aureus Greenway, <strong>PUSA<\/strong> is in fascinating position for a company represented by a microcap stock. What sparked this article and we found especially helpful after reading the article in Wall Street Journal online was being able to pull up a ValuEngine report on it immediately. One advantage of being a fully quantitative stock analysis and reporting system is that we can cover small cap exchange-traded stocks as easily as we cover Microsoft, as long as we have the data.<\/p>\n<p>In the below tables we use major ETF\u2019s as a proxy for some major indexes as well as each of the sector groups into which we divide the overall markets. Tracking these over time provides a more defined picture of the US markets than simply tracking major indexes. This is followed by notable individual stock movers over the past month, and finally our full strategy outlook.<\/p>\n<p style=\"text-align: center;\">Free Trial: Direct Access to ValuEngine Research on over 5,000 stocks and 700 ETFs\u00a0<a href=\"https:\/\/ww2.valuengine.com\/products-and-pricing\/\" target=\"_blank\" rel=\"noopener\">HERE<\/a><\/p>\n<p><strong>ETF Performance:<\/strong><\/p>\n<table border=\"0\" cellspacing=\"0\">\n<colgroup width=\"45\"><\/colgroup>\n<colgroup width=\"356\"><\/colgroup>\n<colgroup width=\"60\"><\/colgroup>\n<colgroup width=\"141\"><\/colgroup>\n<colgroup width=\"98\"><\/colgroup>\n<tbody>\n<tr>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Ticker&quot;}\"><b><span style=\"color: #000000;\">Ticker<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Name&quot;}\"><b><span style=\"color: #000000;\">Name<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;VE Rating&quot;}\"><b><span style=\"color: #000000;\">VE Rating<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Last Week's Close Price&quot;}\"><b><span style=\"color: #000000;\">Last Week&#8217;s Close Price<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Weekly Change&quot;}\"><b><span style=\"color: #000000;\">Weekly Change<\/span><\/b><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;QQQM&quot;}\"><span style=\"color: #000000;\">QQQM<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Invesco NASDAQ 100 ETF&quot;}\"><span style=\"color: #000000;\">Invesco NASDAQ 100 ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">293.76<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">0.42%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;SCHD&quot;}\"><span style=\"color: #000000;\">SCHD<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Schwab US Dividend Equity ETF&quot;}\"><span style=\"color: #000000;\">Schwab US Dividend Equity ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">35.11<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-0.60%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;SPYM&quot;}\"><span style=\"color: #000000;\">SPYM<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street SPDR Portfolio S&amp;P 500 ETF&quot;}\"><span style=\"color: #000000;\">State Street SPDR Portfolio S&amp;P 500 ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">90.13<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">0.49%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;VB&quot;}\"><span style=\"color: #000000;\">VB<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Vanguard Morningstar Small-Cap Index Fund ETF&quot;}\"><span style=\"color: #000000;\">Vanguard Morningstar Small-Cap Index Fund ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">304.76<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-1.32%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLB&quot;}\"><span style=\"color: #000000;\">XLB<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Materials Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Materials Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">53.54<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-0.67%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLC&quot;}\"><span style=\"color: #000000;\">XLC<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Com Svc Sel Sec SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Com Svc Sel Sec SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">111.4<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">1.43%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLE&quot;}\"><span style=\"color: #000000;\">XLE<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Energy Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Energy Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">63.64<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-1.51%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLF&quot;}\"><span style=\"color: #000000;\">XLF<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Financial Sel Sec SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Financial Sel Sec SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">57.48<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">1.08%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLI&quot;}\"><span style=\"color: #000000;\">XLI<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Industrial Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Industrial Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">180.25<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-1.73%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLK&quot;}\"><span style=\"color: #000000;\">XLK<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Technology Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Technology Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">183.31<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">1.30%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLP&quot;}\"><span style=\"color: #000000;\">XLP<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Consumer Staples Sel Sect SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Consumer Staples Sel Sect SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">85.99<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-0.63%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLRE&quot;}\"><span style=\"color: #000000;\">XLRE<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Real Estate Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Real Estate Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">45.08<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-1.33%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLU&quot;}\"><span style=\"color: #000000;\">XLU<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Utilities Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Utilities Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">42.77<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-0.09%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLV&quot;}\"><span style=\"color: #000000;\">XLV<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Health Care Select Sector SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Health Care Select Sector SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">174.62<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-1.98%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;XLY&quot;}\"><span style=\"color: #000000;\">XLY<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;State Street Consumer Disc Sel Sect SPDR ETF&quot;}\"><span style=\"color: #000000;\">State Street Consumer Disc Sel Sect SPDR ETF<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">118.02<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">-0.69%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\">Current ValuEngine reports on all covered 5000+ stocks and ETFs can be viewed\u00a0<a href=\"https:\/\/valuengine.com\/dashboard\/login\" target=\"_blank\" rel=\"noopener\">HERE<\/a><\/p>\n<p><strong>Top 3 Stock Performers (Global):<\/strong><\/p>\n<table border=\"0\" cellspacing=\"0\">\n<colgroup width=\"46\"><\/colgroup>\n<colgroup width=\"218\"><\/colgroup>\n<colgroup width=\"60\"><\/colgroup>\n<colgroup width=\"99\"><\/colgroup>\n<colgroup width=\"108\"><\/colgroup>\n<colgroup width=\"118\"><\/colgroup>\n<tbody>\n<tr>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Ticker&quot;}\"><b><span style=\"color: #000000;\">Ticker<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Name&quot;}\"><b><span style=\"color: #000000;\">Name<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;VE Rating&quot;}\"><b><span style=\"color: #000000;\">VE Rating<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Last Close Price&quot;}\"><b><span style=\"color: #000000;\">Last Close Price<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Price 30 Days Ago&quot;}\"><b><span style=\"color: #000000;\">Price 30 Days Ago<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Monthly Difference&quot;}\"><b><span style=\"color: #000000;\">Monthly Difference<\/span><\/b><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;AU&quot;}\"><span style=\"color: #000000;\">AU<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Anglogold Ashanti PLC&quot;}\"><span style=\"color: #000000;\">Anglogold Ashanti PLC<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 5}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">113.19<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">82.33<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">37.48%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;GFI&quot;}\"><span style=\"color: #000000;\">GFI<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Gold Fields Ltd&quot;}\"><span style=\"color: #000000;\">Gold Fields Ltd<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 5}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">45.96<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">33.53<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">37.07%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;RCRUY&quot;}\"><span style=\"color: #000000;\">RCRUY<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Recruit Holdings 5 Unsponsored ADR &quot;}\"><span style=\"color: #000000;\">Recruit Holdings 5 Unsponsored ADR <\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 5}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">22.05<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">16.11<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">36.87%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>Top3 Stock Performers (US):<\/p>\n<table border=\"0\" cellspacing=\"0\">\n<colgroup width=\"46\"><\/colgroup>\n<colgroup width=\"218\"><\/colgroup>\n<colgroup width=\"60\"><\/colgroup>\n<colgroup width=\"99\"><\/colgroup>\n<colgroup width=\"108\"><\/colgroup>\n<colgroup width=\"118\"><\/colgroup>\n<tbody>\n<tr>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Ticker&quot;}\"><b><span style=\"color: #000000;\">Ticker<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Name&quot;}\"><b><span style=\"color: #000000;\">Name<\/span><\/b><\/td>\n<td align=\"center\" valign=\"bottom\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;VE Rating&quot;}\"><b><span style=\"color: #000000;\">VE Rating<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Last Close Price&quot;}\"><b><span style=\"color: #000000;\">Last Close Price<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Price 30 Days Ago&quot;}\"><b><span style=\"color: #000000;\">Price 30 Days Ago<\/span><\/b><\/td>\n<td align=\"center\" valign=\"middle\" bgcolor=\"#A6CAEC\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Monthly Difference&quot;}\"><b><span style=\"color: #000000;\">Monthly Difference<\/span><\/b><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;PLTR&quot;}\"><span style=\"color: #000000;\">PLTR<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Palantir Technologies Inc&quot;}\"><span style=\"color: #000000;\">Palantir Technologies Inc<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 5}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">186.29<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">122.26<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">52.37%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;MDB&quot;}\"><span style=\"color: #000000;\">MDB<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Mongodb Inc&quot;}\"><span style=\"color: #000000;\">Mongodb Inc<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 4}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">446.62<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">325.88<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">37.05%<\/span><\/td>\n<\/tr>\n<tr>\n<td align=\"center\" valign=\"middle\" height=\"16\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;NEM&quot;}\"><span style=\"color: #000000;\">NEM<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;Newmont Corporation&quot;}\"><span style=\"color: #000000;\">Newmont Corporation<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 5}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;#,##0&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">127.98<\/span><\/td>\n<td align=\"center\" valign=\"middle\"><span style=\"color: #000000;\">95.76<\/span><\/td>\n<td align=\"center\" valign=\"middle\" data-sheets-value=\"{ &quot;1&quot;: 3, &quot;3&quot;: 0}\" data-sheets-numberformat=\"{ &quot;1&quot;: 2, &quot;2&quot;: &quot;0.00%&quot;, &quot;3&quot;: 1}\"><span style=\"color: #000000;\">33.65%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/www.valuengine.com\/\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=http:\/\/www.valuengine.com\/&amp;source=gmail&amp;ust=1760454514815000&amp;usg=AOvVaw0jaArNHd8Bz74iU3wHHl0F\">www.ValuEngine.com<\/a>\u00a0(<wbr \/>ValuEngine, Inc) is a stock valuation and forecasting service founded by Ivy League finance academics. VE utilizes the most advanced quantitative techniques and analysis available to analyze over 4,200 US stocks, 700 US ETFs, and 1,000 Canadian stocks. Fair market valuations, forecast target prices, and buy\/hold\/sell recommendations are updated DAILY.<\/p>\n<p><a href=\"http:\/\/www.valuenginecapital.com\/\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=http:\/\/www.valuenginecapital.com\/&amp;source=gmail&amp;ust=1760454514815000&amp;usg=AOvVaw22EhPOkTAIkAbJq7vZ7au9\">www.ValuEngineCapital.com<\/a>\u00a0(<wbr \/>ValuEngine Capital Management, LLC) is a Registered Investment Advisory firm that trades a variety of different portfolios based upon the ValuEngine.com research models. Each portfolio has a different risk\/return profile, so clients can be placed in strategies that fit their specific investment needs.<\/p>\n<p><a href=\"http:\/\/blog.valuengine.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">BLOG.VALUENGINE.COM\u00a0<\/a>for the full history of ValuEngine.com financial blog posts<\/p>\n<p>____________________________________________________________________________<\/p>\n<p>5,000 stocks, 600 ETFs, 16 sector groups, and 140 industries updated on\u00a0<a href=\"http:\/\/www.valuengine.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">www.ValuEngine.com<\/a><\/p>\n<p>Full Two Week Free Trial\u00a0<a href=\"http:\/\/www.valuengine.com\/pub\/VeSubscribeInfo\" target=\"_blank\" rel=\"noopener noreferrer\">HERE<\/a><\/p>\n<p>Financial Advisory Services based on ValuEngine research and Portfolios available through\u00a0<a href=\"http:\/\/www.valuenginecapital.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">www.ValuEngineCapital.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Weekly Market Recap &#8211; Aug 28, 2026 U.S. equity markets were mixed this past week, with modest gains in the major benchmarks offset by weakness across several defensive and cyclical sectors. The S&amp;P 500 ETF (SPYM) gained 0.49%, while the NASDAQ 100 ETF (QQQM) rose 0.42%, supported by strength in Technology (XLK), Communication Services (XLC), &#8230; <a title=\"08\/24\/2026 ValuEngine Weekly Commentary: Will Disruptive Technologies Upend Aerospace Companies? PUSA\" class=\"read-more\" href=\"http:\/\/blog.valuengine.com\/index.php\/08-24-2026-valuengine-weekly-commentary-will-disruptive-technologies-upend-aerospace-companies-pusa\/\" aria-label=\"More on 08\/24\/2026 ValuEngine Weekly Commentary: Will Disruptive Technologies Upend Aerospace Companies? PUSA\">Read more<\/a><\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[4,130,39],"tags":[1186,3064,254,3386,2696,2690,3396,3390,3391,2238,1761,419,3392,2973,2974,114,3066,3355,2999,1731,2325,3384,2115,3385,3387,3347,3348,3388,3389,1779,2582,2620,2622,3397,3393,3394,2006,1689,2011,1510,3334,2922,2924,2465,2468,1748,2801,3395,2078,1681,1699,1644,28,1656,1659,63,2356,2121,2085,2277,1849,2279,1887,1814,2707,1900,2276,2278],"_links":{"self":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4031"}],"collection":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/comments?post=4031"}],"version-history":[{"count":1,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4031\/revisions"}],"predecessor-version":[{"id":4032,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/4031\/revisions\/4032"}],"wp:attachment":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/media?parent=4031"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/categories?post=4031"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/tags?post=4031"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}