T Rowe Price Fund Quote

RPGIX Fund  USD 21.07  0.27  1.27%   

Performance

Insignificant

 
Weak
 
Strong

Odds Of Distress

Low

 
High
 
Low
T Rowe is trading at 21.07 as of the 6th of June 2025; that is 1.27 percent decrease since the beginning of the trading day. The fund's open price was 21.34. T Rowe has about a 22 % chance of experiencing some form of financial distress in the next two years of operation and did not have a very good performance during the last 90 trading days. The performance scores are derived for the period starting the 8th of March 2025 and ending today, the 6th of June 2025. Click here to learn more.
The fund normally invests at least 80 percent of its net assets in securities issued by companies in the industrials sector. Any derivatives that provide exposure to the investment focus suggested by the funds name, or to one or more market risk factors associated with the investment focus suggested by the funds name, are counted toward compliance with the funds 80 percent investment policy.. More on T Rowe Price

Moving together with RPGIX Mutual Fund

  0.94J Jacobs SolutionsPairCorr
  0.82R Ryder SystemPairCorr
  0.87AL Air LeasePairCorr
  0.72AP Ampco PittsburghPairCorr
  0.61AZ A2Z Smart TechnologiesPairCorr

Moving against RPGIX Mutual Fund

  0.43MG Mistras GroupPairCorr
  0.36G Genpact LimitedPairCorr

RPGIX Mutual Fund Highlights

Fund ConcentrationT. Rowe Price Funds, Large Growth Funds, Industrials Funds, Industrials, T. Rowe Price, Large Blend, Industrials (View all Sectors)
Update Date31st of March 2025
Expense Ratio Date1st of May 2023
Fiscal Year EndDecember
T Rowe Price [RPGIX] is traded in USA and was established 6th of June 2025. T Rowe is listed under T. Rowe Price category by Fama And French industry classification. The fund is listed under Industrials category and is part of T. Rowe Price family. This fund at this time has accumulated 203.07 M in assets with minimum initial investment of 2.5 K. T Rowe Price is currently producing year-to-date (YTD) return of 5.25% with the current yeild of 0.0%, while the total return for the last 3 years was 11.4%.
Check T Rowe Probability Of Bankruptcy

Instrument Allocation

Sector Allocation

Investors will always prefer to have their portfolios divercified against different sectors. The broad sector allocation increases the possibility of making a profit or at least avoiding a loss. However, this may also reduce the expected return on RPGIX Mutual Fund. Generally, it depends on diversification level and type but usually, the broader the sector allocation, the less risk can be expected from holding RPGIX Mutual Fund, and the less return is expected.
Institutional investors that are interested in enforcing a sector tilt in their portfolio can use exchange-traded funds, such as T Rowe Price Mutual Fund, as a low-cost alternative to building a custom portfolio. So, using sector ETFs to diversify your portfolio can be a profitable strategy. However, no matter what sectors are desirable at a given time, no single industry should ever make up more than 20 percent of your stock portfolio.

Top T Rowe Price Mutual Fund Constituents

STSensata Technologies HoldingStockIndustrials
GDGeneral DynamicsStockIndustrials
WCNWaste ConnectionsStockIndustrials
DHRDanaherStockHealth Care
IRIngersoll RandStockIndustrials
HXGBYHexagon AB ADRPink SheetScientific & Technical Instruments
KYCCFKeyencePink SheetScientific & Technical Instruments
AIRAAR CorpStockIndustrials
More Details

T Rowe Price Risk Profiles

T Rowe Against Markets

Other Information on Investing in RPGIX Mutual Fund

T Rowe financial ratios help investors to determine whether RPGIX Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in RPGIX with respect to the benefits of owning T Rowe security.
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm