
Gabelli Love Our Planet & People ETF
Trading in the middle of its range for the past year.
The essentials
Four questions every investor asks, answered in one line each.
A fund that holds many companies, so profit, growth, price and debt are not measured for it as for one company.
AI analysis
An AI analyst reads Gabelli Love Our Planet & People ETF's last five years, its segments, earnings, insiders and peers, and writes the bull case, the bear case and what the price expects.
Run the AI analysisNo annual statements on file yet.
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News
Gabelli Global Small & Mid Cap Value Trust declares $0.21 dividendSeeking Alpha · Nov 12, 2026Gabelli Dividend & Income Trust declares $0.15 dividendSeeking Alpha · Nov 11, 2026Gabelli Healthcare & Wellness Trust raises dividend by 17.6% to $0.20Seeking Alpha · Nov 11, 2026Gabelli Global Utility & Income Trust declares $0.11 dividendSeeking Alpha · Nov 11, 2026Insider trades
Our insider feed has not updated since May 26, 2026. Trades filed after that are not listed yet.
No insider trades on file.
Not enough data
Questions about Gabelli Love Our Planet & People ETF
Is Gabelli Love Our Planet & People ETF a good stock to buy?
A fund that holds many companies, so profit, growth, price and debt are not measured for it as for one company. Whether it suits you depends on your goals and the price you pay; invest-like never tells anyone to buy or sell. The AI analysis lays out the case for and against. Read the Gabelli Love Our Planet & People ETF AI analysis
What does Gabelli Love Our Planet & People ETF do?
The Love Our Planet & People (LOPP) ETF seeks to invest in companies committed to sustainable practices such as renewable energy, reduction or recycling of long-lived water conservation wastes and clean mobility. It is in Asset Management.
How has Gabelli Love Our Planet & People ETF stock done over the past year?
Up 8.7% over the past twelve months, to $35.58. It traded between $31.75 and $39.84 and is 10.7% below its high.
Prices: daily closes to Nov 6, 2026. Fundamentals: company reports via invest-like data.