PRME (PRME)

$3.21
-5.59%
$641M
Market Cap
P/E Ratio
2.36
Beta
Dividend Yield
Piotroski 3/9Altman Z -3.4 DistressROIC−WACC -72.4%

Quantitative Summary

Deterministic

Below-average fundamentals indicated by Piotroski score of 3/9; Altman Z of -3.4 falls in the academic distress zone.

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

Algorithmic Teardown

AI-Generated

The fundamental economics of PRME exhibit severe distress, characterized by a capital allocation mechanism that actively destroys value. With an ROIC-WACC spread of -72.4%, the firm generates returns far below its cost of capital, indicating inefficient deployment of equity and debt. This weakness is compounded by a Piotroski F-Score of 3/9 and an Altman Z-Score of -3.4, both signaling high probability of financial deterioration or bankruptcy under standard scoring models. The DuPont decomposition reveals that the negative ROE is driven almost entirely by catastrophic margin compression rather than leverage issues; a net margin of -4342.4% suggests structural operational failures despite revenue growth of 55.3%. Such extreme profitability erosion renders traditional valuation metrics meaningless, as earnings are volatile and likely non-recurring or one-off in nature.

Valuation analysis is further complicated by the disconnect between top-line expansion and bottom-line reality. While revenue grew significantly year-over-year, the market's pricing must account for the inability to convert this volume into profit, a scenario often priced at extreme discounts due to bankruptcy risk rather than growth potential. Any implied growth rate derived from current earnings would be mathematically impossible given the negative spread between returns and capital costs. The absence of historical P/E context is mitigated by the fact that traditional multiples fail in environments where net income is deeply negative, forcing an assessment based on asset liquidation values or normalized cash flows rather than multiple expansion.

Risk factor data underscores a significant downside skew with limited upside catalysts embedded in current metrics. The stock displays a Fama-French Alpha of -3.71% annually and a Value Factor (HML) of -0.626, confirming the market has aggressively priced it as a growth asset despite its weak profitability profile. This misalignment between valuation tilt and actual performance is exacerbated by a Profitability Factor (RMW) score of -2.865, highlighting that the security underperforms peers on fundamental quality metrics across multiple dimensions. The combination of negative alpha, poor value characteristics relative to growth expectations, and deteriorating profitability suggests the risk/reward profile is heavily weighted toward capital preservation concerns rather than return generation potential.

Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.

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
-3.4
Altman Z-Score
Distress Zone — below 1.8 threshold per academic model. Thresholds: >3 safe, 1.8–3 grey, <1.8 distress.

Profitability & Value Creation

-4342.4%
Net Margin
-53.9%
ROIC
18.5%
WACC
ROIC − WACC Spread: -72.4%— Negative spread.
+55.3%
Revenue Growth (YoY)
-2.7%
Earnings Growth (YoY)
-167.1M
Free Cash Flow

Balance Sheet Health

1.84x
Debt / Equity
4.84x
Current Ratio
-25.14%
FCF Yield
-201.0M
EBITDA

Earnings Surprise History

Q4
✗ Miss
Est: $-0.31
Act: $-0.40
-28.0%
Q3
✗ Miss
Est: $-0.34
Act: $-0.41
-20.6%
Q2
✗ Miss
Est: $-0.25
Act: $-0.32
-29.4%
Q1
✓ Beat
Est: $-0.26
Act: $-0.24
+6.9%

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

Risk Profile

90.4%
Annual Volatility
1.47
Sharpe (1Y)
-0.01
Sharpe (3Y)
-93.3%
Max Drawdown (3Y)
-94.5%
Max Drawdown (5Y)

Sharpe = risk-adjusted return (higher is better). Max drawdown = largest peak-to-trough decline. 1,200+ trading days.

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)

Fama-French 5-Factor Exposure

Academic factor model decomposition — what's really driving this stock's returns.

1.14
Market β
Mkt-RF
+1.966
Size (SMB)
Small-cap tilt
-0.626
Value (HML)
Growth tilt
-2.865
Profit (RMW)
Weak
+1.039
Invest (CMA)
Conservative
Alpha (annual): -3.71%
R²: 29.6%of variance explained by 5 factors

Fama-French 5-Factor Model. Data: Kenneth French Data Library. Regression over 3 years of daily returns.

Fundamentals

-4.1
Forward P/E
PEG Ratio
8.35
Price/Book
2M
Avg Volume
$6.94
52W High
$1.18
52W Low
35%
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$26M
Tracked Passive Exposure
3
ETFs Holding PRME
0.09%
Avg Weight in ETFs
$27B
Total ETF AUM

When investors buy or sell ETFs like ARKG or XBI, the fund manager is mechanically forced to buy or sell PRME shares regardless of PRME's individual fundamentals. We estimate $26M of passive capital is structurally linked to PRME through 3 tracked ETFs. Passive flows have a limited but growing influence on PRME's daily trading dynamics.

Passive exposure = Σ (ETF AUM × stock weight in ETF) across 3 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.

ETF Contagion Visualizer

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

PRME Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
PRMEEpicenterVHTETFXBIETFARKGETFLLYLow RiskTWSTLow RiskCRSPLow RiskJNJLow RiskTEMHigh Risk
PRME Price Drop (%)0

If PRME (PRME) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Eli Lilly & Co. (LLY) as the most exposed collateral stock, sharing 1 ETFs with PRME. 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.

PRME Ownership Dynamics

Passive funds hold 1 in every 18 PRME shares, reducing daily market volatility.

Ticker
PRME
Total Shares
181M
ETF Lock-Up
5.5%
Display Mode
Total Float Impact
5.5%Locked Float

PRME (PRME) exerts measurable gravity on the passive index market, currently representing 1.1% of the ARK Genomic Revolution ETF (ARKG) and 0.2% of the XBI (XBI). Across 4 tracked ETFs, approximately 10M shares (5.5% of float) are held by passive funds and rarely trade on the open market. As passive ownership grows, index inclusion changes may increasingly drive price discovery.

Float lock-up computed from 4 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

PRME Institutional Volume Profile

252-day volume distribution by price level. The Point of Control (POC) marks the price where the most institutional volume transacted — an implicit support/resistance floor.

TICKER
PRME
PRICE
$3.21
FLOOR (POC)
$3.63
STRENGTH
High
$1$2$2$2$2$3$3$313%$3.21$4POC 20%$417%$412%$47%$5$5$5$6$6$6$7$7
Focus Zone
Point of Control (POC) Support (below price) Resistance (above price) Current Price

The highest-volume price zone for PRME over the past year sits near $3.63 (20% of 252-day volume). The current price of $3.21 sits 11.4% below the POC — suggesting potential mean-reversion upside if institutional demand reasserts at this level. The highly concentrated volume profile (20% at POC) indicates strong consensus on fair value — institutional participants have repeatedly transacted near this price.

Volume Profile computed from 252 trading days of OHLCV data. Volume allocated to price bins proportionally based on daily high-low range. 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
2026-05-135,207$3.30$17,183.1
2026-05-0110,366$3.55$36,799.3
2026-04-271,184$3.70$4,380.8
2026-04-231,136$3.96$4,498.56
2026-04-20157$3.81$598.17
2026-04-169,644$3.79$36,550.76
2026-04-13883$3.43$3,028.69
2026-04-091,283$3.54$4,541.82
2026-04-0851,399$3.41$175,270.59
2026-03-3164,381$3.15$202,800.15
2026-03-2677,078$3.63$279,793.14
2026-03-2525$3.52$88
2026-03-1981,104$3.53$286,297.12
2026-03-1876,577$3.71$284,100.67
2026-03-1791,852$3.67$337,096.84
2026-03-161,669$3.65$6,091.85
2026-03-12364,143$3.83$1.4M
2026-03-111,289$4.05$5,220.45
2026-03-06542,637$3.93$2.1M
2026-03-0455,474$4.23$234,655.02
2026-03-0330,186$4.66$140,666.76
2026-03-02144,565$4.62$667,890.3
2026-02-26230,885$4.13$953,555.05
2026-02-2590,259$3.83$345,691.97
2026-02-1373,312$3.32$243,395.84
2026-02-12234$3.45$807.3
2026-02-06405,984$3.24$1.3M
2026-02-05323,269$3.48$1.1M
2026-02-041,135$3.81$4,324.35
2026-02-033,912$3.80$14,865.6

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.

Price Correlations

Statistical correlation of daily returns with other stocks. High correlations indicate stocks that move together; negative correlations can offer diversification.

Peer252-Day (1Y)126-Day (6M)Direction
WTGXXNaNNaN
CRSP0.5860.657Moderate
BEAM0.5820.651Moderate
RXRX0.5360.620Moderate
NTLA0.4800.572Moderate
ABSI0.4330.517Moderate
SDGR0.4120.498Moderate
PACB0.3700.508Moderate
CRCL0.3510.292Moderate
ARCT0.3300.393Moderate

Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.

Compare PRME to Peers

Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.

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.