The investment seeks maximum total return, consistent with preservation of capital and prudent investment management. Pimco Funds is traded on NASDAQ Exchange in the United States. It is managed by PIMCO in the Short-Term Bond category. Maximum drawdown of 0.76% indicates contained downside risk.
As of May 3, 2026, LOW DURATION is priced at $9.27, reflecting 0.11% up today after opening at $9.26. Current risk models assign LOW DURATION a 22% probability of significant NAV decline, reflecting a moderate probability within its current risk profile. Return data over the last 90 trading days classifies LOW DURATION as weak in terms of performance. The performance scores cover the interval from February 2, 2026 to May 3, 2026. Learn more.
The fund maintains about 42.47% of assets in bonds. Low Duration's last dividend was $0.01 per share. Low Duration Fund posted $7.1 billion in Total Assets and $8.5 billion in Net Assets for the reported period.
Investor Insights and Alerts
Investor notes for Low Duration Fund in Short-Term Bond serve as an early-warning system for conditions that prospectus language alone cannot capture. For LOW DURATION managing 8.55 B, combining alerts with expense ratio and turnover data strengthens the risk assessment.
Low Duration generated a negative expected return over the last 90 days
Institutional Mutual Fund Holders for LOW DURATION
Ownership mix should still be evaluated through filings, holder turnover, and governance disclosures. Institutional activity around Low Duration Fund shapes the liquidity and governance picture. Low Duration Fund holder concentration should be checked against volatility trends to see how ownership affects price during stressed markets.
For Low Duration Fund, benchmark pressure and redemption cycles can limit how institutional weight turns into price support. Revenue scale should be reviewed against peers and reporting history. Low Duration Fund holder data is best used to understand governance dynamics and liquidity depth.
For LOW DURATION, daily indicators reveal whether a price move in the fund's holdings is gaining conviction or fading. With 8.55 B in fund assets, LOW DURATION's daily data benefits shareholders who want faster feedback on NAV-driving trends.
Forecast models for LOW DURATION, which returned 4.0% over one year, use historical NAV data to estimate how the fund may perform under similar conditions. With a one-year return of, these models describe observed NAV patterns. Current fund positioning must match historical conditions.
Fund analysis emphasizes diversification, manager constraints, and fee drag. The five-year return stands at 2.0%.
Methodology
Unless otherwise specified, data for Low Duration Fund is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Low Duration Fund market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. All analytics presented are generated using Macroaxis quantitative models that incorporate financial statement analysis, market data, and risk metrics to ensure consistency and comparability. Assumptions: Macroaxis analytics incorporate public fund disclosures, holdings reports, and market data feeds and official disclosures from U.S. Securities and Exchange Commission (SEC) via EDGAR. Data harmonization may result in minor timing offsets. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Research Sources
Low Duration Fund may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
Editorial review and methodology oversight provided by: Raphi Shpitalnik, Junior Member of Macroaxis Editorial Board