FNF (FNF)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 4/9, Altman Z 0.3.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe equity economics reveal a capital-intensive structure where high leverage, evidenced by an Equity Multiplier of 12.15x, is the primary driver sustaining a modest DuPont ROE of 6.7%, rather than operational efficiency or pricing power. This reliance on financial engineering to generate returns contrasts sharply with underlying profitability metrics; while revenue expanded at a healthy 5.9% year-over-year, net margins remain compressed at just 4.3%. The fundamental quality appears fragile, underscored by an ROIC of only 1.2%, which suggests the firm is currently failing to deploy capital efficiently relative to its cost of equity, and further weakened by a low Piotroski F-Score of 4/9 that signals deteriorating financial health or weak balance sheet momentum compared to historical norms.
Valuation metrics present a complex picture where the current multiple of 21.0x sits at a premium relative to implied growth rates given the modest margin profile, yet it remains below the DCF-derived fair value estimate of $429 if one accepts the model's specific growth and terminal assumptions. This discrepancy implies that market pricing currently discounts the company significantly more than what traditional discounted cash flow analysis suggests under baseline scenarios, potentially reflecting skepticism regarding future capital allocation efficiency or concerns over the sustainability of returns generated through leverage rather than organic operational expansion.
Risk factors are accentuated by significant insider activity, with $335,400 in net selling observed over the last ninety days, which often precedes downward revisions to earnings expectations or signals a lack of confidence from those closest to the business operations. Combined with the low F-Score and sub-par ROIC, these elements suggest that while the DCF model may theoretically support higher valuations based on static inputs, the operational trajectory and governance signals currently weigh heavily against immediate multiple expansion, creating an asymmetry where downside risks related to capital efficiency appear more pronounced than potential upside from valuation mean reversion.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 7.3% | 9.3% | 11.3% |
|---|---|---|---|
| 2% | $534 | $380 | $293 |
| 3% | $641 | $429 | $320 |
| 4% | $814 | $497 | $355 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=9.3%, terminal growth 3%. Fair value $429 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
✅ Conservative payout — room for dividend increases.
DuPont Analysis — ROE Decomposition
Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.
Balance Sheet Health
Insider Activity (Last 90 Days)
Open-market buys vs sells by company insiders. Source: yfinance.
Earnings Surprise History
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.
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.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like KIE or DVY, the fund manager is mechanically forced to buy or sell FNF shares regardless of FNF's individual fundamentals. We estimate $1.1B of passive capital is structurally linked to FNF through 8 tracked ETFs. Index rebalances and ETF creation/redemption cycles can create noticeable volume spikes unrelated to company news.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 8 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in FNF to visualize passive redemption contagion across ETFs and collateral stocks.
If FNF (FNF) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Seagate Technology Holdings PL (STX) as the most exposed collateral stock, sharing 1 ETFs with FNF. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 17 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
FNF Ownership Dynamics
ETFs with Highest FNF Exposure
Float lock-up computed from 19 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
FNF Capital Efficiency
How efficiently does FNF convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
FNF converts 229% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. However, the ROIC-WACC spread is negative (-8.1%), suggesting reinvested capital is destroying shareholder value.
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.
| Date | Failed Shares | Close Price | Notional Value |
|---|---|---|---|
| 2026-04-28 | 4,861 | $51.87 | $252,140.07 |
| 2026-04-24 | 137,007 | $51.54 | $7.1M |
| 2026-04-06 | 63,727 | $45.69 | $2.9M |
| 2026-03-10 | 33,413 | $49.45 | $1.7M |
| 2026-02-24 | 37,819 | $51.03 | $1.9M |
| 2026-02-20 | 40,359 | $54.21 | $2.2M |
| 2026-02-18 | 74,201 | $57.46 | $4.3M |
| 2026-02-17 | 108 | $56.74 | $6,127.92 |
| 2026-02-13 | 6,473 | $57.00 | $368,961 |
| 2026-02-04 | 11,067 | $54.58 | $604,036.86 |
| 2026-02-03 | 63,164 | $55.14 | $3.5M |
| 2026-02-02 | 2,181 | $54.39 | $118,624.59 |
| 2026-01-28 | 35,405 | $54.53 | $1.9M |
| 2026-01-27 | 48,907 | $54.80 | $2.7M |
| 2026-01-21 | 53,946 | $52.33 | $2.8M |
| 2026-01-13 | 397 | $53.57 | $21,267.29 |
| 2025-12-03 | 13,605 | $58.52 | $796,164.6 |
| 2025-12-02 | 33,905 | $59.54 | $2.0M |
| 2025-11-20 | 413 | $57.31 | $23,669.03 |
| 2025-11-19 | 29,435 | $57.77 | $1.7M |
| 2025-11-12 | 146 | $58.71 | $8,571.66 |
| 2025-10-23 | 13,588 | $56.44 | $766,906.72 |
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 FNF 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.