Robeco Smart Materials G GBP

Scarce resources, abundant investment opportunities

Aandelenklassen Aandelenklassen Every share class of a product invests in the same portfolio of securities and has the same investment objectives and policies. However, their parameters might deviate. For instance and amongst others, their distribution type, currency exposure or fees and expenses might differ. The most common share classes at Robeco are: a) D/DH shares, which are regular shares and available for all Investors; b) I/IH shares, for institutional investors as defined from time to time by the Luxembourg supervisory authority. For more information on share classes please go to the prospectus.

Klasse en codes

Fondscategorie
Equities
ISIN
LU2145464694
Bloomberg
RSSMGGA LX

Fondscategorie

Equities

ISIN

LU2145464694

Bloomberg

RSSMGGA LX

Index

MSCI All Country World Index (Net Return, GBP)

Informatieverschaffing over duurzaamheid
Informatieverschaffing over duurzaamheid
Under the EU Sustainable Finance Disclosure Regulation, products can be labelled as either Article 6, 8 or 9 fund.
Article 6 - The fund is not in scope of enhanced sustainability disclosures compared to Article 8 and 9.
Article 8 - The fund does not have a sustainable investment objective but promotes environmental or social characteristics and is subject to enhanced sustainability disclosures.
Article 9 - The fund has a sustainable investment objective and is subject to enhanced sustainability disclosures.
Regardless of Article 8 or 9, the companies in which investments are made must follow good governance practices, and sustainable investments must not do any significant harm.

Artikel 9

Morningstar Morningstar Copyright © Morningstar, Inc. All Rights Reserved. The information contained herein: (1) is proprietary to Morningstar and/or its content providers; (2) may not be copied or distributed; and (3) is not warranted to be accurate, complete or timely. Neither Morningstar nor its content providers are responsible for any damages or losses arising from any use of this information. Past performance is no guarantee of future results. Download The Morningstar Rating for Funds (chapter: The Morningstar Rating: Three-, Five-, and 10-Year) on the Morningstar website.

Rating

( 30-06 )

Overzicht Rendement & kosten Portefeuille Duurzaamheid Commentaar Documenten

Kernpunten

Focus on advanced materials and smart manufacturing that help optimize the use of natural resources within scalable, clean and efficient solutions
Investing in structural winners along the entire materials value chain including efficient and innovative materials, improving manufacturing efficiency solutions and end-of-life valorization of materials
Strong tailwinds from decarbonization and net zero targets, government incentives for reshoring of manufacturing and sourcing, and the shift to more circular practices and sustainability

Over dit fonds

Robeco Smart Materials is an actively managed fund that invests into solutions to the resource scarcity challenge such as innovative materials and process technologies. The selection of these stocks is based on fundamental analysis. The fund has sustainable investment as its objective, within the meaning of Article 9 of the Regulation (EU) 2019/2088 of 27 November 2019 on Sustainability-related disclosures in the financial sector. The strategy integrates sustainability criteria as part of the stock selection process and through a theme-specific sustainability assessment. The portfolio is built on the basis of an eligible investment universe that includes companies whose business models contribute to the thematic investment objectives. The assessment regarding relevant SDGs uses an internally developed framework, more information on which can be obtained at www.robeco.com/si.

Belangrijke feiten

Per 30-06-2026

Totale fondsgrootte	GBP 723,745,492
Grootte van de shareclass	GBP 37,343,038
Ingangsdatum shareclass	29-10-2020
1-jaars rendement	109.28%
Dividenduitkerend	Ja

Fondsmanager

Pieter Busscher CFA
Mutlu Gundogan CFA

Pieter Busscher is Portfolio Manager of the Robeco Smart Materials and Robeco Smart Mobility strategies and member of the Thematic Investing team. He started at Robeco in 2007 as a Deputy Portfolio Manager for the Sustainable Water strategy. Pieter became the Portfolio Manager for Smart Materials in 2009; for Smart Mobility he had been Deputy Portfolio for since strategy launch in 2018 and took over the portfolio management responsibilities in 2021. He began his career at Credit Suisse Asset Management in Zurich in 2006. He graduated from the International Business at RSM Erasmus University (Bachelor), the Banking and Finance at the University of St. Gallen (Master) and is a CFA® Charterholder. Mutlu Gundogan is Co-Portfolio manager of the Robeco Smart Materials strategy and member of the Thematic Investing team. Prior to joining in 2021, he worked at ABN AMRO – ODDO BHF as a sell-side equity analyst, covering the European Chemicals sector. Before that, he worked as a sell-side analyst at ABN AMRO and Royal Bank of Scotland covering the Materials, Industrials, and Health Care sectors. He started his career in 2003 at Kempen & Co., where he covered the Industrials, Consumer Staples, and Health Care sectors. Mutlu holds a Master’s in Business Administration from Vrije Universiteit Amsterdam. He is a CFA® Charterholder.

Per periode	Fonds	Index
1 maand	0.32%	0.83%
3 maanden	36.87%	13.03%
YTD	62.61%	11.17%
1 jaar	109.28%	25.28%
2 jaar	35.95%	15.91%
3 jaar	22.46%	17.54%
5 jaar	12.03%	12.37%
10 jaar	14.29%	13.22%
Sinds oprichting 15-03-2013	12.32%	12.69%

Statistieken	3 jaar	5 jaar
Tracking error ex-post (%) The ex-post tracking error is defined as the volatility of the fund's achieved excess return over the index return. In fund management, most managers are subject to an ex-ante (pre-determined) tracking error, which defines the extent of the additional risk they may take when aspiring to outperform the fund's benchmark. The ex-post tracking error explains the distribution of past fund performances compared to those of its underlying benchmark. With a higher tracking error, the fund's returns deviate more from its index's returns, hence there is a greater chance that the fund may outperform. The wider the spread of returns relative to the benchmark, the more "actively" a fund has been managed. In contrast, a low tracking error indicates more "passive" management.	18.78	15.97
Informatieratio This ratio serves to evaluate the quality of the excess return a fund manager has achieved because it takes the active risk involved into account. The information ratio is defined as the excess return over the benchmark return divided by the fund's tracking error. The higher the information ratio, the better. For example, a fund with a tracking error of 4% and an excess return of 2% over benchmark has an information ratio of 0.5, which is quite good.	0.32	0.04
Sharpe-ratio This ratio measures the risk-adjusted performance and allows the performance quality of different investments to be compared. It is calculated by subtracting the risk-free rate from the fund's returns and dividing the result by the fund's standard deviation (risk). So the Sharpe ratio tells us whether a fund's returns are the result of smart investment decisions or stem from taking extra risk. The higher the ratio, the better, meaning that a greater return is achieved per unit of risk. This ratio is named after its inventor, Nobel Laureate, William Sharpe.	0.74	0.40
Alpha (%) Alpha measures the difference between a portfolio's actual return and its expected performance, given the level of risk, compared to the benchmark. A positive alpha figure indicates that the fund has performed better than expected, given the level of risk. Beta is used to calculate the level of risk compared to the benchmark..	-1.66	-2.83
Beta Beta is a measure of a portfolio's volatility, or systematic risk, in comparison to the benchmark. A beta of 1 indicates that the portfolio will move with the benchmark. A beta of less than 1 means that the portfolio will be less volatile than the benchmark. A beta of more than 1 indicates that the portfolio will be more volatile than the benchmark. For example, if a portfolio's beta is 1.2 it is theoretically 20% more volatile than the benchmark.	1.74	1.61
Standaarddeviatie Standard deviation is a measure of the dispersion of a set of data from its mean. The more spread out the data is, the higher the deviation. In finance, standard deviation is applied to the annual rate of return of an investment to measure the investment's volatility (risk).	25.37	23.46
Max. maandelijkse winst (%) The maximum (i.e. highest) absolute positive monthly performance in the underlying period.	21.96	21.96
Max. maandelijks verlies (%) The maximum (i.e. highest) absolute negative monthly performance in the underlying period.	-10.29	-11.17

Datum	Bedrag
22-04-2026	GBP 1.15
23-04-2025	GBP 0.62
24-04-2024	GBP 1.54
27-04-2023	GBP 1.07

Download dividend history

Kosten van dit fonds	Percentage
Lopende kosten Indication of annual charges that are deducted for this fund. This indication is based on the costs over the last calendar year and may vary from year to year. Transaction costs incurred by the fund, any performance fees and other one-off costs are not included in the ongoing charges.	0.96%
Inbegrepen beheervergoeding A fee paid by the fund to the asset management company for the professional management of the fund.	0.75%
Inbegrepen serviceprovisie This fee is intended to cover official fees, such as the cost of annual reports, annual shareholders' meetings and price publications.	0.16%
Transactiekosten The transaction costs shown are the average annual transaction costs over the last three years calculated in accordance with European regulations.	0.21%

Fiscale behandeling product

The fund is established in Luxembourg and is subject to the Luxembourg tax laws and regulations. The fund is not liable to pay any corporation, income, dividend or capital gains tax in Luxembourg. The fund is subject to an annual subscription tax ('tax d'abonnement') in Luxembourg, which amounts to 0.05% of the net asset value of the fund. This tax is included in the net asset value of the fund. The fund can in principle use the Luxembourg treaty network to partially recover any withholding tax on its income.

Fiscale behandeling belegger

The fiscal consequences of investing in this fund depend on the investor's personal situation. For private investors in the Netherlands real interest and dividend income or capital gains received on their investments are not relevant for tax purposes. Each year investors pay income tax on the value of their net assets as at 1 January if and inasmuch as such net assets exceed the investor’s tax-free allowance. Any amount invested in the fund forms part of the investor's net assets. Private investors who are resident outside the Netherlands will not be taxed in the Netherlands on their investments in the fund. However, such investors may be taxed in their country of residence on any income from an investment in this fund based on the applicable national fiscal laws. Other fiscal rules apply to legal entities or professional investors. We advise investors to consult their financial or tax adviser about the tax consequences of an investment in this fund in their specific circumstances before deciding to invest in the fund.

Policies

Per 30-06-2026

Marktontwikkeling

Per 30-06-2026

Electronics and AI-linked specialty materials made the largest contribution, reflecting our conviction that the physical material layer has become the binding constraint on AI infrastructure. Specialty glass led – the optical-fiber and glass-substrate material at the heart of hyperscale interconnect – reinforcing the case for glass as structural, differentiated exposure rather than a commodity. Advanced dielectric ceramics followed closely, where materials science at the passive-component node captures a widening share of AI server value. Wide-bandgap semiconductors advanced too, silicon carbide's role now spanning vehicle electrification and, increasingly, satellite-terminal production. In critical minerals, the picture was mixed but constructive: rare-earth permanent magnet and specialty metals exposure firmed on strategic materials momentum, while lithium corrected – though we regard the structural battery materials deficit as intact and added on the pullback. Electrical steels and specialty alloys rounded out the breadth, the enabling layer for EV motors and grid electrification.

Toelichting rendement

Per 30-06-2026

Based on transaction prices, the fund's return was 0.32%. June extended the divergence between AI infrastructure content and the broader commodity complex. The leaders clustered around advanced packaging, metrology and optics: Onto and Teradyne rode high-bandwidth-memory and AI-packaging demand – Teradyne buoyed by Nasdaq-100 inclusion while Corning extended its re-rating as Amazon became its third hyperscale fiber anchor. Disco, Veeco, Rorze and ASML captured the front-end and packaging-equipment pull, Coherent the optical-interconnect ramp, and Arm its energy-efficient compute IP. Neo Performance was the lone critical-materials name to feature among the leaders, lifted by tightening rare-earth magnet economics. The laggards, by contrast, were concentrated in mining and electrification. Albemarle and SQM gave back spring gains as lithium corrected on Chinese restart speculation – spot noise around an improving structural picture. Copper and base-metal names Hudbay, Aurubis and Umicore softened alongside, with Aperam and Aura Minerals following the metals complex lower. Chroma ATE, Delta Electronics and Innoscience rounded out the detractors on power-electronics timing concerns, with Delta later rebounding sharply on record monthly revenue.

Verwachting van de fondsmanager

Pieter Busscher CFA
Mutlu Gundogan CFA

The outlook for the second half remains constructive. 2026 offers a supportive environment for smart materials – a gradually improving industrial cycle meeting powerful, persistent structural investment trends. We favor companies at the intersection of electrification, automation, resource efficiency and circularity, where demand looks durable, reinforced by the material layer's growing centrality to AI infrastructure. Momentum for critical minerals remains very attractive, the lithium correction improving entry points into a structurally tight complex. Valuation dispersion and macro uncertainty will require disciplined, bottom-up selection.