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JBT Marel
ISIN US4778391049
|WKN A0Q6F9
Market cap (in EUR)
7 183 M
Country
États-Unis
Sector
Industriels
Dividend yield
0,25%
Overview
Quote
Description
John Bean Technologies Corp. est un fournisseur de solutions technologiques qui opère dans les secteurs de l'alimentation, des boissons et du transport aérien. Elle opère par le biais des secteurs d'activité JBT FoodTech et JBT AeroTech. Le segment JBT FoodTech conçoit, fabrique et entretient des systèmes technologiques de traitement des aliments pour la préparation de produits à base de viande, de fruits de mer et de volaille, de repas prêts à consommer, d'aliments emballés stables à la température ambiante, de produits de boulangerie, de jus et de produits laitiers, et de produits à base de fruits et de légumes. Le segment JBT AeroTech fournit des solutions et des services personnalisés utilisés pour des applications dans l'industrie du transport aérien, y compris les autorités aéroportuaires, les compagnies aériennes, le fret aérien, les sociétés de manutention au sol, l'armée et les sous-traitants de la défense. La société a été fondée le 12 mai 1994 et son siège social se trouve à Chicago, IL.
Industriels Fabrication industrielle Fabrication de machines États-Unis
Chart
Financials
Key metrics
| Market capitalisation, EUR | 7 183 M |
| EPS, EUR | -2,03 |
| P/B ratio | 1,9 |
| P/E ratio | 39,8 |
| Dividend yield | 0,25% |
Income statement (2024)
| Revenue, EUR | 1 592 M |
| Net income, EUR | 78 M |
| Profit margin | 4,91% |
What ETF is JBT Marel in?
There are 6 ETFs which contain JBT Marel. All of these ETFs are listed in the table below. The ETF with the largest weighting of JBT Marel is the Global X Robotics & Artificial Intelligence UCITS ETF USD Accumulating.
| ETF | Weight | Investment focus | Fund size (in m EUR) |
|---|---|---|---|
| Global X Robotics & Artificial Intelligence UCITS ETF USD Accumulating | 2.69% | Equity World Technology Artificial Intelligence | 102 |
| iShares S&P SmallCap 600 UCITS ETF | 0.53% | Equity United States Small Cap | 2,344 |
| iShares Automation & Robotics UCITS ETF | 0.52% | Equity World Technology Social/Environmental Robotics & Automation | 209 |
| Vanguard ESG Global All Cap UCITS ETF (USD) Distributing | 0.01% | Equity World Social/Environmental | 495 |
| Vanguard ESG North America All Cap UCITS ETF (USD) Distributing | 0.01% | Equity North America Social/Environmental | 25 |
| JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist) | 0.12% | Equity United States Small Cap | 193 |
Performance
Returns overview
| YTD | +6.04% |
| 1 month | +6.85% |
| 3 months | +19.12% |
| 6 months | +17.13% |
| 1 year | +21.19% |
| 3 years | +33.30% |
| 5 years | - |
| Since inception (MAX) | +10.21% |
| 2025 | +8.20% |
| 2024 | +33.33% |
| 2023 | +6.40% |
| 2022 | -36.30% |
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 | 43.73% |
| Volatility 3 years | 36.59% |
| Volatility 5 years | - |
| Return per risk 1 year | 0.48 |
| Return per risk 3 years | 0.27 |
| Return per risk 5 years | - |
| Maximum drawdown 1 year | -35.41% |
| Maximum drawdown 3 years | -35.41% |
| Maximum drawdown 5 years | - |
| Maximum drawdown since inception | -50.16% |
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.