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Help me set up FinLab and analyze NEE NextEra Energy, Inc.. Please read: https://finlab.finance/en/setup?stock=NEE

NEE

NextEra Energy, Inc. Utilities As of 2026-07-31 Updated daily after market close

strong quality, premium valuation.

This page refreshes daily after the close. Add NextEra Energy, Inc. to your watchlist to track signal changes on your next visit.
Valuation 38Quality 80Growth 73Momentum 46Risk / liquidity 90

Is NextEra Energy, Inc. a buy? Fundamentals and valuation first

  • Quality is top-tier. Operating margin ranks above roughly 84% of the liquid US common-stock universe. TTM ROE is about 16.3%.

  • Valuation is expensive. TTM P/E is in the 72th percentile, above most peers.

  • Recent volatility is comparatively low. 60-day annualized volatility is in the 17th percentile. Average 20-day dollar volume is about $823.8M.

  • Signals are active now. Filed revenue acceleration, EPS surprise beat currently holds; the tables below show what followed in this stock’s own history.

Historical evidence

Signals active now

Each active condition is tested against this stock’s own history and benchmarked versus the S&P 500.

Filed revenue acceleration

Active · now 12.054519479516589%

TTM revenue growth is at least 10% and improved versus the prior filed quarter; event date is the SEC filing date.

9 historical occurrences (since 2019-10-23)
Average forward return after Filed revenue acceleration。20-day: Win 25%, Sample 8, Median -0.68%, Excess -3.68%, Beat mkt rate 25%;60-day: Win 50%, Sample 8, Median +0.27%, Excess -9.45%, Beat mkt rate 0%;120-day: Win 33.3%, Sample 6, Median -5.69%, Excess -14.35%, Beat mkt rate 16.7%

120 days after: historical avg -5.71%

20-day -1.61%
60-day -2.19%
120-day -5.71%
20-day
60-day
120-day
Win
25%
50%
33.3%
Sample
8
8
6
Median
-0.68%
+0.27%
-5.69%
Excess
-3.68%
-9.45%
-14.35%
Beat mkt rate
25%
0%
16.7%

Over 6 occurrences, 120-day forward avg declined 5.71%, lagged the market by 14.35 pts; win rate 33.3%.

EPS surprise beat

Active · now 5.825242718446607%

Reported EPS beat consensus estimate by at least 5%; event date is the earnings-surprise timestamp.

24 historical occurrences (since 2015-04-29)
Average forward return after EPS surprise beat。20-day: Win 52.4%, Sample 21, Median +1.51%, Excess -0.76%, Beat mkt rate 52.4%;60-day: Win 66.7%, Sample 21, Median +4.91%, Excess -2.99%, Beat mkt rate 42.9%;120-day: Win 75%, Sample 20, Median +6.71%, Excess -0.71%, Beat mkt rate 55%

120 days after: historical avg +5.16%

20-day +0.63%
60-day +1.38%
120-day +5.16%
20-day
60-day
120-day
Win
52.4%
66.7%
75%
Sample
21
21
20
Median
+1.51%
+4.91%
+6.71%
Excess
-0.76%
-2.99%
-0.71%
Beat mkt rate
52.4%
42.9%
55%

Over 20 occurrences, 120-day forward avg gained 5.16%, lagged the market by 0.71 pts; win rate 75%.

Valuation regime and forward returns

Daily TTM P/E is converted into an expanding own-history percentile, then grouped into five valuation regimes. Forward returns use adjusted prices over the next 240 trading days.

PE percentile bandSample days240-day avg returnMedianWin rateAvg excess (vs index)
0-20 92+34.6% +29.7% 100% +7%
20-40 You are here286+9.8% +10.5% 68.5% -7.6%
40-60 231+6.7% +9.1% 60.2% -12.4%
60-80 201-2.8% -3% 43.3% -21.3%
80-100 573+2% +3.3% 59.5% -7.6%

Quarterly EPS is aligned by SEC filing date before it is forward-filled to daily prices. The expanding percentile uses only information available up to each day.

Current TTM P/E is about 19.49, placing it in the 29.9 own-history percentile, inside the 20-40 bucket.

Valuation × momentum analogs

Each historical day is grouped by own-history P/E tercile and 60-day momentum direction, then tested for the next 120-trading-day adjusted return.

Valuation
Momentum
Cheap (own-history bottom third)
Middle
Expensive (own-history top third)
60-day momentum up
+25.7%
Win rate 100% Excess +12.9%
38d
+2.5%
Win rate 59.6% Excess -4.8%
329d
-1%
Win rate 44.3% Excess -7.4%
438d
60-day momentum down
Now
+13.2%
Win rate 67.2% Excess -0.8%
134d
0%
Win rate 48.8% Excess -8.4%
256d
+11.3%
Win rate 81.8% Excess +4.8%
308d

Currently in “Cheap (own-history bottom third) × 60-day momentum down”: across 134 historical days, 120-day forward avg gained 13.2%, win rate 67.2%, lagged the market by 0.8%.

Days = trading days in this bucket; returns use adjusted prices, ex-costs. 60-day momentum: direction of this stock's price over the past 60 trading days.

Market-wide momentum baseline

Across 97,878 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.26%, a 58.3% positive-return rate, and +2.90 percentage points of average excess return versus the S&P 500.

Baseline: weekly samples since 2016 where a liquid US common stock ranked in the top quintile by 126-trading-day momentum. Forward return is 60 trading days; excess return is versus S&P 500 (^GSPC).

Signals not active now

Inactive signals still show the stock-specific historical forward-return distribution for context.

52-week adjusted-price high

Pending

Adjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.

28 times historically; 60-day forward avg +0.61%, win rate 57.1%, beating the market by -0.84 pts on average.

Top-quintile 6-month momentum

Pending

The stock ranks in the top 20% of the liquid US common-stock universe by 126-day adjusted return.

21 times historically; 60-day forward avg +1.29%, win rate 57.1%, beating the market by -2.62 pts on average.

Method and limits

  • Returns use us_price:adj_close, adjusted for splits and dividends where available.
  • Excess returns use world_index:^GSPC as the S&P 500 benchmark proxy.
  • Quarterly fundamentals are aligned to SEC filing dates before daily valuation studies.
  • The promoted universe starts from active NYSE/NASDAQ common stocks, then applies price and dollar-volume gates.
  • Snapshot-only tables such as analyst consensus, DCF, us_ratios, and us_key_metrics are intentionally excluded from historical evidence.
  • Overlapping event windows are descriptive distributions, not independent samples.

This page is for historical data analysis and education only. It is not investment advice. Backtests and historical return distributions do not predict future performance; evaluate risk independently before trading.