US Equity
Janus Henderson US Growth
Last updated: 2026-09-03
The Verdict
Janus Henderson US Growth charges an expense ratio of 1.65%. On a $100,000 portfolio, that's $1,650 per year in fees, and it scales with the amount invested. Supreme.PM's decoded model tracked it at only -6% correlation over the measured period, so it should not be treated as a substitute for this fund, for a flat monthly subscription that does not change with portfolio size.
Expense Ratio
1.65%
Star Rating
3/ 5
Market Beta
1.09
Model Correlation
-6%
Sharpe Ratio
0.54
Max Drawdown
37.06%
Supreme.PM Cost
Flat monthly subscription
Not a percentage of your assets
Performance
Performance comparison — 1Y: Fund 5.4% vs Model 14.2%; 3Y: Fund 69.9% vs Model 83.2%; 5Y: Fund 52.0% vs Model 73.2%.
Alpha After Fees
Supreme.PM's model shows -6% correlation with Janus Henderson US Growth over the measured period. That is weak tracking: the model does not reproduce this fund's return pattern, and a negative figure means it moved in the opposite direction.
Fee Analysis
Janus Henderson US Growth charges 1.65% of assets annually. Supreme.PM charges a flat monthly subscription instead, so its cost does not rise as a portfolio grows.
Data sources: Refinitiv Lipper, SEC EDGAR Filings, Supreme.PM Analytics
Past performance does not guarantee future results. Model returns are backtested and may not reflect actual trading conditions.
Related
Frequently Asked Questions
What is the expense ratio of Janus Henderson US Growth?
Janus Henderson US Growth has an expense ratio of 1.65%, charged as a percentage of the amount invested. Supreme.PM's decoded model is offered for a flat monthly subscription instead.
How does Supreme.PM replicate Janus Henderson US Growth?
Supreme.PM builds a transparent, rules-based model of listed securities designed to track this fund's return profile. Over the measured period it tracked the fund poorly, at -6% correlation. The model is published in full, so its positions are visible rather than disclosed with a delay.
What are the risks of fund replication?
While our models aim for high correlation, they may not perfectly match the fund's returns due to timing differences in rebalancing, transaction costs, and disclosure delays. Backtested results may not reflect future performance.
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