Ingersoll Rand Inc. provides mission-critical air, fluid, clean energy, and medical technologies services and solutions worldwide. It operates in two segments, Industrial Technologies and Services, and Precision and Science Technologies. The Industrial Technologies and Services segment designs, manufactures, markets, and services a range of air and gas compression and treatment equipment, vacuum and blower products, fluid transfer equipment, loading systems, and power tools and lifting equipment; and other specialized equipment, including aftermarket parts, consumables and services, air treatment equipment, controls, other accessories, and services under the Ingersoll Rand, Gardner Denver, Nash, CompAir, Elmo Rietschle, and other brands.
Close · 3M
-19.79%
Held by 0 AI ETFs
None of the tracked AI ETFs currently hold this name.
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.
Ingersoll Rand (IR) trades at $80.86, sitting at 82% of its 52-week high, after a +7.0% 30-day return contrasting with a -15.8% drop over 90 days. For AIEQ, which relies on IBM Watson NLP ingesting market data for daily stock rankings, this price trajectory, combined with IR's PER of 53.62, PBR of 3.1, and ROE of 5.8% alongside 6.86% revenue growth, likely signaled a shift. Operating as a broad market, fundamentals-plus-sentiment hybrid with high turnover, AIEQ’s EquBot risk overlay would have interpreted a decline in IR's ranking. This prompted a reduction in position to 0.76% by June 30th and a complete removal from the portfolio on July 1st, leveraging the fund's daily rebalancing capability.
weight 0.760% → 0 (exited)·stock up 14.0% in the 30 days before
Ingersoll Rand exhibits a PER of 52.13 and PBR of 3.1, alongside 6.86% revenue growth and a 5.8% ROE, suggesting AIEQ’s "fundamentals + sentiment hybrid" style considers more than just traditional value metrics. The consecutive weight increase for IR in AIEQ, climbing from 0.72% to 0.77% between June 25 and June 26, aligns with the stock's positive 5.0% 30-day return, as its current $81.37 price point sits at 82% of its 52-week high. This shift indicates that IBM Watson NLP, which powers AIEQ by analyzing news, filings, and social posts, likely detected a recent, positive signal regarding Ingersoll Rand's outlook. As one of the highest-turnover funds rebalancing daily, AIEQ rapidly adjusted its exposure to this Industrials sector company based on the AI's updated daily ranking.
weight 0.720% → 0.770% (+0.050 pp)·stock up 14.7% in the 30 days before
Amplify ETFs' AIEQ, leveraging IBM Watson NLP for its daily rebalancing across 140-180 US equities, registered a consistent positive signal for Ingersoll Rand, leading to its recent weight increase from 0.69% to 0.73%. This AI-driven selection method likely detected evolving sentiment or fundamental shifts not yet reflected in the company's recent stock performance, which shows a -9.1% return over the last 30 days. Despite a high PER of 48.8, the fund’s hybrid approach, integrating sentiment alongside fundamentals, suggests the system is either anticipating future growth catalysts or identifying a turning point for the Industrials sector stock at its current $77.07 price.
weight 0.690% → 0.730% (+0.040 pp)·stock down 1.2% in the 30 days before
Ingersoll Rand (IR) is trading at $71.64, near the bottom of its 52-week range of $70.91 to $98.74, following recent declines of 10.5% over 30 days and 12.8% over 90 days. This price point, currently at 73% of its 52-week high, suggests that IBM Watson's NLP engine likely detected a positive shift in sentiment or a new fundamental catalyst for the Industrials company at a de-risked valuation. Despite the company's P/E of 47.76 and ROE of 5.8%, AIEQ's daily ingestion of news, filings, and social posts, combined with its sentiment-hybrid style, likely uncovered a compelling forward-looking signal. EquBot's risk overlay subsequently initiated a new 0.66% allocation in IR on May 30, 2026, leveraging the fund's frequent rebalancing and high-turnover characteristic to capitalize on this specific machine-identified opportunity. The move indicates the AI system found a short-term advantage in IR at its current price.
weight 0 → 0.660% (new)·stock down 18.9% in the 30 days before
The AI ETF likely divested from IR because its high PER of 52.49 appears unjustified by its modest 5.75% revenue growth and low 5.7% ROE, indicating the algorithm identified an overvaluation relative to fundamentals. This action by the AI suggests that retail investors should always evaluate high valuation multiples in tandem with a company's actual growth and profitability metrics to avoid investing in fundamentally weak or overpriced stocks.
weight 0.160% → 0 (exited)·stock down 2.5% in the 30 days before
The AI ETF's consecutive weight decrease in IR likely stems from its high PER of 52.18 combined with a low ROE of 5.7%, signaling an overvalued asset relative to its profitability. This systematic trimming suggests the AI perceives a poor risk-reward profile, prompting retail investors to scrutinize whether high valuations are justified by strong fundamental performance and future prospects.
weight 0.180% → 0.160% (-0.020 pp)·stock down 0.3% in the 30 days before
The AI ETF likely divested from IR due to its high valuation (PER 52.18) being inconsistent with moderate revenue growth (5.75%) and low return on equity (5.7%). This suggests the AI flagged the stock as significantly overvalued relative to its fundamental performance and efficiency. A practical takeaway for retail investors is to critically assess if a company's high valuation is truly justified by strong underlying financials, as AI funds quickly identify and act on discrepancies between market price and fundamental health.
weight 0.413% → 0 (exited)·stock down 0.3% in the 30 days before
The AI ETF likely decreased IR's weight due to its significantly high PER (52.18) being unjustified by its moderate 5.75% revenue growth and very low 5.7% ROE, indicating potential overvaluation and poor efficiency. This suggests the algorithm is de-risking from a stock with unattractive fundamentals relative to its market price. A practical takeaway for retail investors is to diligently assess if high valuations are supported by exceptional growth and profitability, as even AI algorithms will divest from such imbalances.
weight 0.443% → 0.413% (-0.030 pp)·stock up 0.7% in the 30 days before
Apr 29·entry $77.46·now $79.01
+2.00%
since Apr 29
Sell signals show what the stock did after the AI exited. A negative number means the AI's exit was well-timed.