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Regal Rexnord
ISIN US7587501039
|WKN 876288
Market cap (in EUR)
13,100 m
Country
United States
Sector
Industrials
Dividend yield
0.61%
Overview
Quote
Description
Regal Rexnord Corp. engages in engineering and manufacturing of factory automation sub-systems, industrial powertrain solutions, automation and mechanical power transmission components, electric motors and electronic controls, air moving products, and specialty electrical components and systems. It operates through the following segments: Industrial Powertrain Solutions (IPS), Power Efficiency Solutions (PES), and Automation and Motion Control (AMC). The IPS segment focuses on the design, production, and services of a portfolio of transmission products, including mounted and unmounted bearings, couplings, mechanical power transmission drives and components, gearboxes and gear motors, clutches, brakes, and industrial powertrain components and solutions. The PES segment offers AC and DC motors, electronic variable speed controls, electronic drives, fans and blowers, as well as integrated subsystems comprised of two or more components. The AMC segment refers to the designs, production, and services of conveyor products, conveying automation subsystems, aerospace components, precision motion control solutions, miniature servo motors, controls, drives and linear actuators, as well as power management products that include automatic transfer switches and paralleling switchgear. The company was founded in 1955 and is headquartered in Milwaukee, WI.
Industrials Industrial Manufacturing Electrical Equipment and Power Systems United States
Chart
Financials
Key metrics
| Market capitalisation, EUR | 13,100 m |
| EPS, EUR | 3.71 |
| P/B ratio | 2.3 |
| P/E ratio | 53.8 |
| Dividend yield | 0.61% |
Income statement (2025)
| Revenue, EUR | 5,260 m |
| Net income, EUR | 248 m |
| Profit margin | 4.71% |
What ETF is Regal Rexnord in?
There are 3 ETFs which contain Regal Rexnord. All of these ETFs are listed in the table below. The ETF with the largest weighting of Regal Rexnord is the Amundi MSCI Smart Mobility UCITS ETF Acc.
| ETF | Weight | Investment focus | Fund size (in m EUR) |
|---|---|---|---|
| JPMorgan Climate Change Solutions Active UCITS ETF USD (Dist) | 0.89% | Equity World Social/Environmental Climate Change | 0 |
| Amundi MSCI Smart Mobility UCITS ETF Acc | 1.08% | Equity World Technology Social/Environmental Future Mobility | 180 |
| JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist) | 0.20% | Equity United States Small Cap | 210 |
Performance
Returns overview
| YTD | +44.78% |
| 1 month | +10.08% |
| 3 months | -2.00% |
| 6 months | +49.71% |
| 1 year | +52.97% |
| 3 years | +50.35% |
| 5 years | +41.86% |
| Since inception (MAX) | +43.39% |
| 2025 | -18.18% |
| 2024 | +9.59% |
| 2023 | +20.98% |
| 2022 | -25.83% |
Monthly returns in a heat map
Risk
Risk metrics in this section:
- Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
- Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
- Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.
Risk overview
| Volatility 1 year | 44.55% |
| Volatility 3 years | 41.22% |
| Volatility 5 years | 37.68% |
| Return per risk 1 year | 1.19 |
| Return per risk 3 years | 0.35 |
| Return per risk 5 years | 0.19 |
| Maximum drawdown 1 year | -20.20% |
| Maximum drawdown 3 years | -51.30% |
| Maximum drawdown 5 years | -51.30% |
| Maximum drawdown since inception | -51.30% |
Rolling 1 year volatility
Latest articles
— Data provided by Trackinsight, etfinfo, Xignite Inc., gettex, FactSet and justETF GmbH. Quotes are either real-time (gettex) or 15 minutes delayed stock exchange quotes or NAVs (daily published by the fund provider). By default, ETF returns include dividend payments (if applicable). There is no warranty for completeness, accuracy and correctness for the displayed information.