Source: Financial Modeling Prep · peers by sector/industry
Stock splits
Execution date
Ratio
2005-03-16
2-for-1
Insider activity (SEC Form 4)
No recent Form 4 filings on EDGAR — either no insider transactions reported recently or this isn't a SEC-registered issuer.
Valuation
Trading at NaN× earnings vs its 5.5× historical median P/E.
Fair value ≈ $-27.18 · price $7.76 today
Fair value · 0% above
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Fair-value line = the stock's median historical P/E × earnings. Price below the orange line = cheap vs its own history; above = expensive. Not investment advice.
While everyone argues over AI stocks, $NEE is quietly showing one of the cleaner structures on our board.
All major timeframes still point higher.
Short-term breakout is active.
90.58 is the next key area.
85.10 is the level bulls want to keep holding.
Short-term estimated top window: July 17–23.
Medium-term estimated top window: July 30–August 13.
Boring can still be strong.
Market is steady on $NEE at 88.65. The long-term outlook for utility demand remains a strong tailwind. Some traders are playing the upside with calls, but keeping stops tight is the smart move.
$NEE is holding steady at $88.56. With institutional focus on AI-driven power demand, the long-term utility moat is expanding. Stay patient and accumulate.
The power trade is an interesting one to look at here, and we’ve invested in a name with 100% upside that is outside the two main categories in this theme.
(Full thesis linked)
AI needs power, etc… that’s known, that’s the baseline thesis.
You have the IPPs on one side ($GEV $VST $CEG $TLN $NEE etc…) who are combating this through raising generation capacity across the board and investing into nuclear. The issue here is the grid itself is the bottleneck not generation. You can generate all the power you want but reliably transmitting it to its destination is the real challenge here.
On the other hand, you have the on site power names (BE, CAT, FCEL, EOSE, PLUG, etc…) solving this issue by generating power on site. The issue here is that many of these names are still early stages and the capacity of their generation will be limited compared to the baseload utilities,
How to solve this?
Make the grid smarter. We have our pick:
https://kryptonresearch.substack.com/p/ai-powers-ahead
$NEE looks like it's leaning into a trend that's getting harder to ignore. As data center demand grows, access to reliable power is becoming just as important as access to chips. Proximity to major compute hubs could end up being a real advantage for utilities and infrastructure players. The bottleneck isn't always the GPU, sometimes it's the electricity behind it.
$NEE Regulated utilities and power infrastructure suppliers are expanding capacity to meet unprecedented electricity demand growth from AI data centers and electrification, with government support and long-term contracts driving sustained investment. Learn more: https://axlfi.com/themes/373
When we see a stock like this, we know how many damaged investors are out there.
Believe it or not, there’s some good news.
$NEE investors you might be surprised, but you actually have a chance to recover your losses. Don’t miss it: https://11th.com/cases/nextera-investor-settlement
China wants renewables to provide 80% of AI data-center power by 2030
The awkward part: expensive GPUs want electricity 24/7, while wind and solar don’t always arrive on schedule.
AI may create as many opportunities in grids and storage as it does in semicondctors.
$NVDA $NEE $FLNC
