JBLU (JBLU)

Market Cap
P/E Ratio
Beta
Dividend Yield
Piotroski 3/9Beneish M -2.48 Clean

Quantitative Summary

Deterministic

Below-average fundamentals indicated by Piotroski score of 3/9.

Generated deterministically from quant metrics and financial statements. Not a recommendation.

Price Chart with Moving Averages

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SMA 50 SMA 200

Quant Health Deep Dive

3/9
Piotroski F-Score
Weak — below-average operational and profitability metrics
-2.48
Beneish M-Score
Below threshold — no statistical earnings quality concern per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

14.8%
Gross Margin
-6.6%
Net Margin
-1.3%
ROIC
-2.3%
Revenue Growth (YoY)
+24.3%
Earnings Growth (YoY)
-1.2B
Free Cash Flow

Balance Sheet Health

6.82x
Debt / Equity
0.74x
Current Ratio
-0.3x
Interest Coverage
11.7x
Net Debt / EBITDA
493.0M
EBITDA

Earnings Surprise History

Q4
✓ Beat
Est: $-0.63
Act: $-0.59
+6.5%
Q3
✓ Beat
Est: $-0.32
Act: $-0.16
+50.2%
Q2
✓ Beat
Est: $-0.42
Act: $-0.40
+5.0%
Q1
✗ Miss
Est: $-0.46
Act: $-0.49
-6.1%

EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.

Underwater (Drawdown from Peak)

How far below the all-time high the price has been over time. Deeper = more pain for holders.

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Rolling 60-Day Beta vs S&P 500 (VOO)

How the stock's sensitivity to market moves changes over time. β > 1 = more volatile than the market.

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Rolling Beta Market (β = 1.0)

Fundamentals

Forward P/E
PEG Ratio
Price/Book
Avg Volume
52W High
52W Low
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$28M
Tracked Passive Exposure
5
ETFs Holding JBLU
0.07%
Avg Weight in ETFs
$38B
Total ETF AUM

When investors buy or sell ETFs like XTN or SLYV, the fund manager is mechanically forced to buy or sell JBLU shares regardless of JBLU's individual fundamentals. We estimate $28M of passive capital is structurally linked to JBLU through 5 tracked ETFs. Passive flows have a limited but growing influence on JBLU's daily trading dynamics.

Passive exposure = Σ (ETF AUM × stock weight in ETF) across 5 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.

ETF Contagion Visualizer

Simulate a price drop in JBLU to visualize passive redemption contagion across ETFs and collateral stocks.

JBLU Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
JBLUEpicenterSPSMETFSPTMETFVISETFNVDALow RiskAAPLLow RiskCATLow RiskRXOMed RiskMSFTLow Risk
JBLU Price Drop (%)0

If JBLU (JBLU) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies NVIDIA CORP (NVDA) as the most exposed collateral stock, sharing 1 ETFs with JBLU. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.

Contagion model based on shared ETF exposure and constituent weights across 5 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

JBLU Ownership Dynamics

Ticker
JBLU

Float lock-up computed from 5 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

JBLU Capital Efficiency

How efficiently does JBLU convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.

Free Cash Flow
$-1,216,000,000
EBITDA
$493M
FCF Conversion
-247%
Reinvestment Rate
347%
-247% of EBITDA → Free Cash
0% (cash burn)25% (low)50% (efficient)100% (pure cash)

JBLU converts -247% of its EBITDA into free cash flow, negative FCF conversion — the company is consuming cash faster than it generates EBITDA, which is unsustainable long-term. The 347% reinvestment rate signals aggressive capacity expansion.

Capital efficiency = Free Cash Flow ÷ EBITDA. Reinvestment = (EBITDA − FCF) ÷ EBITDA. Metrics from latest annual filings. Not investment advice.

Fails-to-Deliver (FTD) History

SEC-reported settlement failures. Elevated FTDs can indicate high short-selling pressure, operational settlement issues, or naked shorting activity.

DateFailed SharesClose PriceNotional Value
2026-05-12200$4.96$992
2026-05-11100$5.11$511
2026-05-071,054,333$5.04$5.3M
2026-05-061,505$4.84$7,284.2
2026-05-05100$4.79$479
2026-04-3020,743$4.84$100,396.12
2026-04-272,217$5.27$11,683.59
2026-04-24651$5.25$3,417.75
2026-04-231,817$5.08$9,230.36
2026-04-20100,078$5.87$587,457.86
2026-04-17100$5.51$551
2026-04-16104$5.66$588.64
2026-04-131,046$4.74$4,958.04
2026-04-109$4.93$44.37
2026-04-096,114$5.04$30,814.56
2026-04-0618,331$4.52$82,856.12
2026-03-30455$4.22$1,920.1
2026-03-261,803,123$4.75$8.6M
2026-03-23140,038$4.03$564,353.14
2026-03-20333,015$4.11$1.4M
2026-03-191,516,906$4.06$6.2M
2026-03-18152,472$4.21$641,907.12
2026-03-17946,926$4.26$4.0M
2026-03-16355,616$4.12$1.5M
2026-03-13110,822$4.16$461,019.52
2026-03-101,080$4.52$4,881.6
2026-03-0618,323$4.56$83,552.88
2026-03-046,899$5.12$35,322.88
2026-03-02200$5.54$1,108
2026-02-252,438$5.73$13,969.74

Source: SEC Regulation SHO FTD data. Data is reported with a ~30 day delay. High FTD quantities relative to average daily volume may indicate settlement stress.

Compare JBLU to Peers

Quant metrics computed deterministically from financial statements and price data. Updated: N/A.

SecuritiesDB provides programmatic data aggregation for informational purposes only. None of the metrics, summaries, or algorithmic flags constitute a recommendation to buy or sell any security.