Osmosis Resource Efficient Core Equity Fund Class A USD

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Performance History30/09/2024
Growth of 1,000 (GBP) Advanced Graph
Osmosis Resource Efficient Core Equity Fund Class A USD
Fund13.224.6-7.116.011.6
+/-Cat2.66.62.33.21.9
+/-B’mrk0.95.00.60.8-1.1
 
Key Stats
NAV
15/10/2024
 USD 22.77
Day Change -0.93%
Morningstar Category™ Global Large-Cap Blend Equity
ISIN IE00BF0D3F98
Fund Size (Mil)
14/10/2024
 USD 1442.18
Share Class Size (Mil)
14/10/2024
 USD 1022.43
Max Initial Charge -
Ongoing Charge
12/02/2021
  0.21%
Investment Objective: Osmosis Resource Efficient Core Equity Fund Class A USD
The investment objective of the Fund is to provide investors with capital appreciation over the medium to long term.
Returns
Trailing Returns (GBP)15/10/2024
YTD14.62
3 Years Annualised9.57
5 Years Annualised12.68
10 Years Annualised-
12 Month Yield 0.00
Management
Manager Name
Start Date
Not Disclosed
13/03/2017
Inception Date
23/05/2017
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
MSCI World Developed NR USDMorningstar Global TME NR USD
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationYes
GrowthNo
IncomeNo
HedgingNo
OtherNot Specific
Portfolio Profile for  Osmosis Resource Efficient Core Equity Fund Class A USD31/08/2024
Morningstar Style Box®
Equity Style
Asset Allocation
  % Long% Short% Net Assets
Stock99.980.0099.98
Bond0.000.000.00
Property0.000.000.00
Cash0.000.000.00
Other0.020.000.02
Top 5 Regions%
United States71.30
Eurozone8.15
Japan5.83
Europe - ex Euro5.07
United Kingdom3.59
Top 5 Sectors%
Technology25.85
Financial Services15.91
Healthcare12.64
Consumer Cyclical9.59
Industrials9.31
Top 5 HoldingsSector%
Apple IncTechnologyTechnology5.42
NVIDIA CorpTechnologyTechnology4.56
Microsoft CorpTechnologyTechnology4.04
Amazon.com IncConsumer CyclicalConsumer Cyclical2.32
Meta Platforms Inc Class ACommunication ServicesCommunication Services2.17
Osmosis Resource Efficient Core Equity Fund Class A USD

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In order to provide consistency across the report data provided by different Asset Managers, the calculated data points presented are generated using Morningstar’s proprietary calculation methodology which is set out in more detail at(https://www.morningstar.com/research/signature)
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