PFSI (PFSI)

$4.1B
Market Cap
8.5
P/E Ratio
1.44
Beta
1.50%
Dividend Yield
Piotroski 5/9Beneish M -1.94 Flag (> −2.22)

Quantitative Summary

Deterministic

Financial health is average: Piotroski 5/9. Beneish M-Score of -1.94 exceeds the -2.22 academic threshold — earnings quality may warrant further review.

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

5/9
Piotroski F-Score
Average — mixed operational signals
-1.94
Beneish M-Score
Above threshold — earnings quality may warrant further review per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

59.3%
Gross Margin
11.3%
Net Margin
2.3%
ROIC
+55.3%
Revenue Growth (YoY)
+60.9%
Earnings Growth (YoY)
-1.7B
Free Cash Flow

Balance Sheet Health

5.82x
Debt / Equity
1.71x
Current Ratio
22.5x
Net Debt / EBITDA
620.8M
EBITDA

Earnings Surprise History

Q4
✗ Miss
Est: $2.83
Act: $2.77
-2.0%
Q3
✓ Beat
Est: $3.07
Act: $4.28
+39.5%
Q2
✓ Beat
Est: $2.98
Act: $3.43
+15.1%
Q1
✗ Miss
Est: $3.23
Act: $1.96
-39.3%

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

5.7
Forward P/E
PEG Ratio
0.96
Price/Book
541466
Avg Volume
$160.36
52W High
$77.67
52W Low
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$28M
Tracked Passive Exposure
3
ETFs Holding PFSI
0.10%
Avg Weight in ETFs
$29B
Total ETF AUM

When investors buy or sell ETFs like KBE or VTWO, the fund manager is mechanically forced to buy or sell PFSI shares regardless of PFSI's individual fundamentals. We estimate $28M of passive capital is structurally linked to PFSI through 3 tracked ETFs. Passive flows have a limited but growing influence on PFSI'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 PFSI to visualize passive redemption contagion across ETFs and collateral stocks.

PFSI Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
PFSIEpicenterVTWOETFVFHETFKBEETFJPMHigh RiskBRK.BUnknownMALow RiskBACHigh RiskVLow Risk
PFSI Price Drop (%)0

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

PFSI Ownership Dynamics

Ticker
PFSI

ETFs with Highest PFSI Exposure

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

PFSI Capital Efficiency

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

Free Cash Flow
$-1,703,189,000
EBITDA
$621M
FCF Conversion
-274%
Reinvestment Rate
374%
-274% of EBITDA → Free Cash
0% (cash burn)25% (low)50% (efficient)100% (pure cash)

PFSI converts -274% 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 374% 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
2026-06-12180$80.68$14,522.4
2026-06-10184$81.76$15,043.84
2026-06-0420$80.60$1,612
2026-05-2686$85.88$7,385.68
2026-05-12284$88.35$25,091.4
2026-04-2358$90.46$5,246.68
2026-03-261,207$86.43$104,321.01
2026-02-2762$92.93$5,761.66
2026-02-2426,680$90.33$2.4M
2026-02-1997$96.06$9,317.82
2026-01-0538$131.51$4,997.38
2025-12-1044$128.47$5,652.68
2025-11-17157$127.02$19,942.14
2025-11-128,552$129.50$1.1M
2025-11-0336$125.81$4,529.16

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 PFSI 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.