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JBLU

JetBlue Airways Corporation Industrials As of 2026-06-18
Quality Weak
Valuation Cheaper
Risk High vol
5.68 Close (USD)
+35.56% 60-day
  • Quality is weaker than peers. Operating margin is only around the 29th percentile. TTM ROE is about -39.4%.
  • Valuation is cheaper than most peers. TTM P/E is in the 27th percentile, lower than most liquid US common stocks.
  • Recent volatility is elevated. 60-day annualized volatility is in the 84th percentile. Average 20-day dollar volume is about $139.4M.

Factor profile

Factor radar Neutral Valuation
48
ValuationQualityGrowthMomentumRisk / liquidity

Valuation

Indicators in this group are ranked by market percentile; lower valuation and volatility are better.

48 Neutral
TTM P/E -2.93
Fair
Price / book 1.16
Fair
Free-cash-flow yield (%) -45.39
Lagging

Historical evidence

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 0Insufficient data
20-40 0Insufficient data
40-60 0Insufficient data
60-80 0Insufficient data
80-100 You are here0Insufficient data

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 57.38, placing it in the 93.3 own-history percentile, inside the 80-100 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
Insufficient data
(0d)
Insufficient data
(9d)
Insufficient data
(0d)
60-day momentum down
-50.1%
Win rate 0% Excess -108.1%
47d
Insufficient data
(2d)
Now
Insufficient data
(1d)

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 94,737 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.40%, a 58.3% positive-return rate, and +3.10 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.

9 times historically; 60-day forward avg -27.87%, win rate 22.2%, beating the market by -25.25 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.

11 times historically; 60-day forward avg -7.28%, win rate 45.5%, beating the market by -11.23 pts on average.

Filed revenue acceleration

Pending

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

EPS surprise beat

Pending

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

28 times historically; 60-day forward avg -1.01%, win rate 40.7%, beating the market by -4.76 pts on average.

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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.