PRE (PRE)

Market Cap
P/E Ratio
Beta
Dividend Yield
Piotroski 4/9Beneish M -2.83 Clean

Quantitative Summary

Deterministic

Financial health is average: Piotroski 4/9.

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

4/9
Piotroski F-Score
Average — mixed operational signals
-2.83
Beneish M-Score
Below threshold — no statistical earnings quality concern per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

50.3%
Gross Margin
-151.2%
Net Margin
-25.7%
ROIC
+40.8%
Revenue Growth (YoY)
+26.2%
Earnings Growth (YoY)
-29.9M
Free Cash Flow

Balance Sheet Health

0.25x
Debt / Equity
2.36x
Current Ratio
-283.2x
Interest Coverage
-51.6M
EBITDA

Earnings Surprise History

Q4
✗ Miss
Est: $-0.80
Act: $-0.80
0.0%
Q3
✗ Miss
Est: $-0.71
Act: $-0.94
-32.4%
Q2
✓ Beat
Est: $-0.55
Act: $-0.53
+3.6%
Q1
✓ Beat
Est: $-0.52
Act: $-0.19
+63.2%

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

ETF Contagion Visualizer

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

PRE Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
PREEpicenterSPEMETFGWXETFEWXETF700Unknown9988Unknown2454Unknown2308Unknown2317Unknown
PRE Price Drop (%)0

If PRE (PRE) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies TENCENT HOLDINGS LTD (700) as the most exposed collateral stock, sharing 1 ETFs with PRE. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.

Contagion model based on shared ETF exposure and constituent weights across 3 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

PRE Ownership Dynamics

Ticker
PRE

ETFs with Highest PRE Exposure

Float lock-up computed from 3 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

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
2026-05-1321,716$17.99$390,670.84
2026-05-1221,716$17.55$381,115.8
2026-05-0811,205$15.87$177,823.35
2026-05-0711,224$15.90$178,461.6
2026-05-0551,954$16.50$857,241
2026-05-0451,904$17.02$883,406.08
2026-05-0120,853$16.71$348,453.63
2026-04-3046,064$17.41$801,974.24
2026-04-241,110$17.50$19,425
2026-03-2685$21.56$1,832.6
2026-03-172,834$21.73$61,582.82
2026-03-162,949$20.72$61,103.28
2026-03-1250$20.56$1,028
2026-03-1067$20.49$1,372.83
2026-03-091,678$17.80$29,868.4
2026-03-02462$16.91$7,812.42
2026-02-2638$16.94$643.72
2026-02-24304$15.61$4,745.44
2026-02-2323,635$17.05$402,976.75
2026-02-194,236$20.06$84,974.16
2026-02-1250,952$21.40$1.1M
2026-02-104,318$21.12$91,196.16
2026-02-04103$19.47$2,005.41
2026-01-20247,926$15.72$3.9M
2026-01-0929,048$16.75$486,554
2026-01-0829,473$16.49$486,009.77
2025-12-23205$18.38$3,767.9
2025-12-154,252$14.86$63,184.72
2025-12-124,999$15.47$77,334.53
2025-11-213,562$12.88$45,878.56

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 PRE 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.