Your selection basket is empty.
Define a selection of ETFs which you would like to compare.
Add an ETF by clicking "Compare" on an ETF profile or by checkmarking an ETF in the ETF search.
Jones Lang LaSalle, Inc.
ISIN US48020Q1076
|WKN 908217
Market cap (in EUR)
13,339 m
Country
United States
Sector
Finance
Dividend yield
0.00%
Overview
Quote
Description
Jones Lang LaSalle, Inc. engages in the provision of commercial real estate and investment management services. It operates through the following segments: Market Advisory, Capital Markets, Work Dynamics, JLL Technologies, and LaSalle. The Markets Advisory segment offers real estate services such as agency leasing and tenant representation, property management, advisory, and consulting services. The Capital Markets segment is composed of investment sales, debt and equity advisory, value and risk advisory, and loan servicing. The Work Dynamics segment provides services to occupiers of real estate, including facility and project management, as well as portfolio and other services. The JLL Technologies segment refers to software products, solutions, and services. The LaSalle segment focuses on investment management services on a global basis to institutional investors and individuals. The company was founded by Richard Winstanley in 1997 and is headquartered in Chicago, IL.
Finance Real Estate Real Estate Investment and Services United States
Chart
Financials
Key metrics
| Market capitalisation, EUR | 13,339 m |
| EPS, EUR | 11.82 |
| P/B ratio | 2.2 |
| P/E ratio | 25.3 |
| Dividend yield | 0.00% |
Income statement (2024)
| Revenue, EUR | 21,663 m |
| Net income, EUR | 506 m |
| Profit margin | 2.33% |
What ETF is Jones Lang LaSalle, Inc. in?
There are 5 ETFs which contain Jones Lang LaSalle, Inc.. All of these ETFs are listed in the table below. The ETF with the largest weighting of Jones Lang LaSalle, Inc. is the JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist).
| ETF | Weight | Investment focus | Fund size (in m EUR) |
|---|---|---|---|
| L&G Gerd Kommer Multifactor Equity UCITS ETF USD Distributing | 0.02% | Equity World Multi-Factor Strategy | 139 |
| L&G Gerd Kommer Multifactor Equity UCITS ETF USD Accumulating | 0.02% | Equity World Multi-Factor Strategy | 755 |
| Vanguard ESG Global All Cap UCITS ETF (USD) Distributing | 0.02% | Equity World Social/Environmental | 483 |
| Vanguard ESG North America All Cap UCITS ETF (USD) Distributing | 0.03% | Equity North America Social/Environmental | 27 |
| JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist) | 0.24% | Equity United States Small Cap | 176 |
Performance
Returns overview
| YTD | +18.57% |
| 1 month | +8.08% |
| 3 months | +6.44% |
| 6 months | +39.80% |
| 1 year | +6.84% |
| 3 years | +76.73% |
| 5 years | - |
| Since inception (MAX) | +27.73% |
| 2024 | +37.79% |
| 2023 | +13.91% |
| 2022 | - |
| 2021 | - |
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 | 33.07% |
| Volatility 3 years | 31.74% |
| Volatility 5 years | - |
| Return per risk 1 year | 0.21 |
| Return per risk 3 years | 0.66 |
| Return per risk 5 years | - |
| Maximum drawdown 1 year | -32.42% |
| Maximum drawdown 3 years | -32.42% |
| Maximum drawdown 5 years | - |
| Maximum drawdown since inception | -49.56% |
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.