as of Jul 21
ACN
GrowthACCENTURE PLC A
Accenture plc provides strategy and consulting, industry X, song, and technology and operation services in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. It offers systems integration and application management; security; intelligent platform; infrastructure; software engineering; data, AI, cloud; and automation and global delivery services. The company also operates business processes for specific enterprise functions, including finance and accounting, sourcing and procurement, supply chain, marketing and sales, and human resources, as well as industry-specific services, such as platform trust and safety, banking, insurance, network and health services; and designs, manufactures, and assembles automation equipment, robotics, and other commercial hardware products.
Close · 3M
-30.87%
Held by 2 AI ETFs
as of Jul 17
Signal performance
Each tracked ETF's moves on this stock, grouped by fund. Returns are measured from the signal date to the latest close — hypothetical, no commissions or slippage.
PQUS · Weight increase · 2d
ACN's 24.89% Return on Equity, paired with its 11.28 Price-to-Earnings Ratio and 5.19 Price-to-Book Ratio, forms a financial profile likely prioritized by Pictet Asset Management's AI ranking system for its US large-cap universe. The company’s current price of $143.57 represents a substantial 52.2% decline over the past year and stands at 47% of its 52-week high, suggesting a significant market undervaluation despite 6.74% revenue growth. This material price decrease likely triggered the AI's re-evaluation, leading to ACN's weight in PQUS rising from 1.0800% on July 17th, 2026, to 1.1400% on July 18th, and further to 1.1500% on July 19th, consistent with the fund's measured, periodic rebalancing approach.
weight 1.080% → 1.150% (+0.070 pp)·stock down 13.3% in the 30 days before
Jul 19·entry $144.73·now $144.73Fresh
PQUS · Weight decrease · 2d
The weight change for Accenture in PQUS shows a clear, gradual reduction, moving from 1.13% down to 1.05% over three trading days, specifically a consecutive decline on July 1st and 2nd. This stepped decrease aligns with Pictet Asset Management's "measured turnover" style, indicating a deliberate adjustment by the AI ranking system rather than an immediate divestment. Despite Accenture's current price of $131.13, trading near its 52-week low and representing a 57.2% decline over the past year, the AI likely recalibrated its ranking for this US large-cap IT stock. The AI's evaluation, potentially considering the sustained negative price momentum alongside the overall universe and sector-balance rules, suggests that even with a P/E of 10.61, the fund has diminishing conviction for Accenture's relative appeal within the portfolio.
weight 1.130% → 1.050% (-0.080 pp)·stock down 26.2% in the 30 days before
Jul 2·entry $137.35·now $144.73
PQUS · Weight increase · 2d
Accenture shares, currently trading at $125.82, sit at the lower end of their 52-week range, just above the $124.83 low, following a significant 60.5% decline over the past year and a 42.8% drop over the last 90 days. This deep price depreciation, positioning the stock at 40% of its 52-week high, likely prompted Pictet's AI ranking system to identify a value opportunity within its US large-cap universe, especially considering ACN's 10.08 PER, 5.19 PBR, and 24.89% return on equity. Consequently, the fund’s AI system initiated a consecutive increase in its allocation to Accenture, moving from 0.82% on June 24th up to 1.13% by June 26th, leveraging its periodic rebalancing strategy to capitalize on what it assessed as a favorable entry point for the company.
weight 0.820% → 1.130% (+0.310 pp)·stock down 26.9% in the 30 days before
Jun 26·entry $128.98·now $144.73Chased
PQUS · Weight decrease · 2d
ACN's Price-to-Earnings ratio of 10.27 and Price-to-Book ratio of 5.19, paired with a Return on Equity of 24.71% and Revenue Growth of 7.27%, provide the fundamental data points for Pictet's AI ranking system within its US large-cap universe. The detected pattern of consecutive weight decreases in PQUS for Accenture, starting around June 17, 2026, from 1.08% to 0.84% by June 20, directly aligns with a period of severe market decline for the stock. With Accenture's price currently at $127.98, representing a -29.0% 30-day return and sitting at 40% of its $320.92 52-week high, the AI system likely re-ranked the company downwards. This action, within the fund's periodic rebalancing and measured turnover style for its ~165 US large caps, suggests the AI’s system prioritized the stock's significant price deterioration despite its underlying financial metrics and the fund's sector-balance rules. The decline reflects a direct response by the newer fund to ACN's material underperformance.
weight 1.090% → 0.840% (-0.250 pp)·stock down 27.6% in the 30 days before
Jun 20·entry $124.83·now $144.73
PQUS · Weight decrease · 2d
The weight for ACN in PQUS exhibited a stepped decrease, settling from 1.20% to 1.17% and then to 1.16% over a two-day span, following an earlier period of consistent allocation. This gradual reduction, rather than a single sharp cut, reflects Pictet Asset Management’s strategy of periodic rebalances within its US large-cap framework, avoiding daily portfolio adjustments. ACN's sustained share price decline, with a -46.3% 1-year return and currently trading at 53% of its 52-week high, likely triggered a lower ranking from the AI system. Despite ACN reporting a 24.71% ROE and 7.27% revenue growth, its price performance, at $170.50, prompted the AI to incrementally reduce its exposure while adhering to the fund's sector-balance and concentration rules.
weight 1.200% → 1.160% (-0.040 pp)·stock down 1.3% in the 30 days before
Jun 11·entry $167.52·now $144.73
PQUS · Weight increase · 3d
The weight for Accenture in PQUS exhibited a gradual accumulation, increasing from 1.11% to 1.23% over three consecutive days following a brief dip. This measured, step-wise increase aligns with Pictet Asset Management’s AI ranking system, which incorporates sector-balance and concentration rules and aims for measured turnover, allowing for incremental position adjustments within its periodic rebalancing cycles rather than daily, dramatic shifts. With Accenture's current price trading at 58% of its 52-week high, reflecting a 33.4% decline over 90 days, the system appears to be capitalizing on a significantly lower valuation for this US large-cap. The underlying financial metrics, including a price-to-earnings ratio of 15.02 and a 24.71% return on equity, likely signal to the AI a quality company becoming more attractive at this reduced price level for the approximately 165-stock portfolio. The cadence of the weight change reflects the AI's controlled execution, gradually increasing exposure to ACN.
weight 1.110% → 1.230% (+0.120 pp)·stock up 3.8% in the 30 days before
May 31·entry $196.59·now $144.73Fresh
PQUS · Weight increase · 2d
Accenture's stock is currently priced at $187.07, trading at 58% of its 52-week high of $320.92, after experiencing significant declines of 41.1% over the past year and 33.4% in the last 90 days. This downward price trajectory, combined with Accenture's 24.71% return on equity and 15.02 price-to-earnings ratio, likely signaled a re-evaluation opportunity for PQUS's AI ranking system. The consecutive weight increases for ACN to 1.16% and 1.17% on May 29th and 30th, after a prior stable period, reflect the AI identifying a value shift within the US large-cap universe. This adjustment aligns with the Pictet-managed fund's periodic rebalancing approach, allowing its AI to strategically increase exposure to a large-cap company like ACN as it trades at a substantially lower price relative to its recent past, while maintaining its financial standing.
weight 1.110% → 1.170% (+0.060 pp)·stock up 3.8% in the 30 days before
May 30·entry $196.59·now $144.73Fresh
PQUS · Weight decrease · 2d
ACN is currently priced at $179.24, resting at 56% of its 52-week high of $320.92, following declines of -6.6% over 30 days, -37.9% over 90 days, and -42.9% across the past year. This prolonged negative price momentum likely signaled a re-ranking for Pictet Asset Management's AI system, which periodically rebalances its US large-cap portfolio. Consequently, the AI initiated a consecutive reduction in ACN's weight, moving from 1.22% on May 21st to 1.14% on May 22nd, and further to 1.13% on May 23rd. This reduction occurred as ACN traded near the lower end of its yearly range, suggesting the AI's algorithm, despite ACN's 7.27% revenue growth and 24.71% return on equity, prioritized the stock's significant price deterioration within its sector-balanced and concentration-constrained framework. The fund's recent launch in 2025 highlights its reliance on such systematic re-evaluations of underlying holdings like ACN.
weight 1.220% → 1.130% (-0.090 pp)·stock up 0.5% in the 30 days before
May 23·entry $177.00·now $144.73
PQUS · Weight increase · 2d
Accenture plc, reporting a PER of 13.55, PBR of 5.19, Revenue Growth of 7.27%, and an ROE of 24.71%, exhibits characteristics that fit Pictet Asset Management's AI ranking system for US large-cap selections. This fundamental strength became particularly apparent as ACN's share price sustained significant declines, culminating in a 38.4% 90-day return placing the stock at $168.82, 53% of its 52-week high. Observing this valuation point, the AI-managed PQUS fund initiated a consecutive weight increase for ACN on May 16th and 17th, moving its allocation from 1.10% to 1.16%. This strategic adjustment within the roughly 165-stock portfolio aligns with the fund's measured turnover style, signaling the AI system’s identification of value in a financially sound company after a period of price softening.
weight 1.100% → 1.160% (+0.060 pp)·stock down 13.0% in the 30 days before
May 17·entry $177.55·now $144.73Fresh
PQUS · Weight decrease · 2d
The AI ETF likely initiated the consecutive weight decrease due to detecting signals of moderating future growth expectations or weakening market sentiment for ACN, despite its strong current profitability and reasonable PER. For a retail investor, this pattern serves as a practical signal to conduct deeper independent research into ACN's immediate outlook, recent news, and peer performance, rather than solely relying on past financial summaries or blindly following the fund's actions.
weight 1.170% → 1.110% (-0.060 pp)·stock down 3.0% in the 30 days before
May 8·entry $180.42·now $144.73
PQUS · Weight increase · 2d
The AI ETF likely initiated consecutive weight increases for ACN, recognizing its robust profitability, evidenced by a 24.71% ROE, combined with its relatively attractive valuation (PER 14.44) for a tech company. This suggests the AI identifies ACN as a high-quality growth stock offering strong returns, with the consecutive adjustments reflecting increasing conviction in its ongoing performance or positive catalysts. Retail investors should interpret sustained AI fund accumulation in fundamentally strong companies like ACN as a signal to conduct deeper due diligence for potential long-term value.
weight 1.100% → 1.190% (+0.090 pp)·stock down 9.9% in the 30 days before
Apr 30·entry $178.71·now $144.73Fresh
LQAI · Weight increase · 3d
ACN's PER of 11.28, PBR of 5.19, and ROE of 24.89% provide a fundamental basis for its inclusion within LQAI's core large-cap, AI-driven universe, aligning with the fund's approach that avoids heavy factor tilts. The Qraft AI selection engine, managing LQAI's weekly rebalance, increased ACN's weight from 0.6400% on July 15 to 0.6900% by July 17. This consecutive allocation adjustment occurred while ACN traded at $143.57, a price point representing 47% of its 52-week high and following a 30-day return of -19.7%. The system's action indicates ACN's 6.74% revenue growth and current valuation metrics made it a more attractive component for the ~100 US large-cap portfolio despite recent price declines.
weight 0.630% → 0.690% (+0.060 pp)·stock down 13.3% in the 30 days before
Jul 17·entry $143.57·now $144.73Fresh
LQAI · Weight increase · 2d
Accenture's current PER of 11.28, PBR of 5.19, and a return on equity of 24.89% characterize a company with solid profitability and a valuation that appeals to LQAI's core large-cap selection, which prioritizes AI-driven name selection without a strong factor tilt. Despite a 6.74% revenue growth, the stock has recently traded at $143.57, merely 47% of its 52-week high, experiencing a -19.7% 30-day return and a -28.8% 90-day return. In response to this considerable price compression, Qraft's AI engine guiding LQAI initiated a clear upward adjustment in Accenture's weight, moving from 0.62% on July 10th to 0.68% by July 16th, signaling a calculated entry point after the significant market correction. This specific pattern reflects the AI's identification of a compelling value proposition within its defined universe.
weight 0.630% → 0.680% (+0.050 pp)·stock down 12.5% in the 30 days before
Jul 16·entry $144.61·now $144.73Fresh
LQAI · New entry · 1d
Accenture’s PER of 10.61 and PBR of 5.19, alongside a 24.89% ROE, align with LQAI’s core large-cap style by signaling a profitable company at a re-evaluated valuation for the Qraft AI engine. The LG-Qraft collaboration initiated this 0.6700% position on July 7, 2026, precisely when the stock was trading at $142.14, having declined -52.7% over the past year. At this price, ACN sits at 47% of its 52-week high, suggesting the AI's selection criteria flagged the stock as a potential value opportunity following a significant correction. The Qraft AI ranking system within LQAI's US large-cap core universe likely weighted ACN's solid fundamentals and substantial price depreciation as an attractive entry point.
weight 0 → 0.670% (new)·stock down 20.5% in the 30 days before
Jul 7·entry $142.14·now $144.73Fresh
AIEQ · Exit · 1d
The AI ETF likely exited ACN rapidly after an initial buy, suggesting its model quickly reassessed the stock's valuation. Despite strong ROE, ACN's relatively high PBR of 5.19 might have been deemed unsustainable or overvalued given its moderate 7.27% revenue growth, leading to a loss of conviction. For retail investors, this illustrates the importance of continually evaluating a stock's valuation in context with its growth prospects, rather than relying solely on past performance or initial attraction.
weight 0.170% → 0 (exited)·stock down 8.7% in the 30 days before
May 3·entry $180.12·now $144.73
Sell signals show what the stock did after the AI exited. A negative number means the AI's exit was well-timed.
Buffett-style framework
AI ETF PQUS shows a clear weight decrease trend for Accenture, indicating a negative or cautious sentiment. This action aligns with our framework's 'Fail' verdict, as both signals suggest the company does not currently meet all stringent investment criteria, albeit for different reasons.
- Circle of CompetenceThe global consulting and IT services model, while dynamic, supports predictable earning power over a ten-year horizon for a market leader like Accenture.
- Economic MoatAccenture possesses a strong brand, global scale, and high client switching costs, forming a durable economic moat.
- ManagementThe provided data is insufficient to evaluate management's candor, capital allocation discipline, or skin in the game.
- Financial HealthDespite an excellent current ROE of 24.71%, comprehensive financial health cannot be fully assessed due to a lack of multi-year ROE data, operating margin trends, debt specifics, and owner earnings components.
- Margin of SafetyThe current Price-to-Earnings ratio of 10.27 and EV/EBITDA of 5.95, for a company with high ROE and revenue growth, strongly suggest a margin of safety.
While Accenture operates within a clear circle of competence and possesses a strong economic moat, critical data regarding management's capital allocation and a comprehensive view of its financial health, including debt and owner earnings, are not available to fully satisfy the framework's strict criteria. The absence of this key information, despite an attractive current price, leads to an overall 'Fail' verdict for the company within this value investing framework.
Educational interpretation generated by AI applying frameworks Warren Buffett documented in his shareholder letters and other public writings. Not a statement by Mr. Buffett or Berkshire Hathaway, and not investment advice.