Loomis Sayles Inflation Fund Quote

LSGSX Fund  USD 9.66  0.01  0.10%   

Performance

Weak

 
Weak
 
Strong

Odds Of Distress

Low

 
High
 
Low
Loomis Sayles is trading at 9.66 as of the 5th of February 2026; that is 0.1 percent down since the beginning of the trading day. The fund's open price was 9.67. Loomis Sayles 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 7th of November 2025 and ending today, the 5th of February 2026. Click here to learn more.
The fund will normally invest at least 80 percent of its net assets in inflation-protected securities. The emphasis will be on debt securities issued by the U.S. Treasury . The principal value of these securities is periodically adjusted according to the rate of inflation, and repayment of the original bond principal upon maturity is guaranteed by the U.S. More on Loomis Sayles Inflation

Moving together with Loomis Mutual Fund

  0.98LIPNX Loomis Sayles InflationPairCorr

Loomis Mutual Fund Highlights

Fund ConcentrationLoomis Sayles Funds, Large Blend Funds, Inflation-Protected Bond Funds, Inflation-Protected Bond, Loomis Sayles Funds, Large, Inflation-Protected Bond (View all Sectors)
Update Date31st of December 2025
Expense Ratio Date1st of February 2025
Fiscal Year EndSeptember
Loomis Sayles Inflation [LSGSX] is traded in USA and was established 5th of February 2026. Loomis Sayles is listed under Loomis Sayles Funds category by Fama And French industry classification. The fund is listed under Inflation-Protected Bond category and is part of Loomis Sayles Funds family. This fund now has accumulated 99.35 M in assets with minimum initial investment of 100 K. Loomis Sayles Inflation is currently producing year-to-date (YTD) return of 0.41% with the current yeild of 0.05%, while the total return for the last 3 years was 3.29%.
Check Loomis Sayles Probability Of Bankruptcy

Instrument Allocation

Loomis Sayles Inflation Risk Profiles

Loomis Sayles Against Markets

Loomis Mutual Fund Analysis Notes

The fund maintains about 94.51% of assets in bonds. Loomis Sayles Inflation last dividend was 0.15 per share. Large Blend To find out more about Loomis Sayles Inflation contact the company at 800-633-3330.

Loomis Sayles Inflation Investment Alerts

The fund maintains about 94.51% of its assets in bonds

Loomis Sayles Outstanding Bonds

Loomis Sayles issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Loomis Sayles Inflation uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Loomis bonds can be classified according to their maturity, which is the date when Loomis Sayles Inflation has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.

Loomis Sayles Predictive Daily Indicators

Loomis Sayles intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Loomis Sayles mutual fund daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

Loomis Sayles Forecast Models

Loomis Sayles' time-series forecasting models are one of many Loomis Sayles' mutual fund analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Loomis Sayles' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Other Information on Investing in Loomis Mutual Fund

Loomis Sayles financial ratios help investors to determine whether Loomis 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 Loomis with respect to the benefits of owning Loomis Sayles security.
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Transaction History
View history of all your transactions and understand their impact on performance
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum