Brighthouse Financial, Inc. (BHF)
Quantitative Summary
DeterministicAt 10.5x earnings — a 45% discount to the sector average of 19.2x — BHF is in the lower valuation range. Financial health is average: Piotroski 5/9, Altman Z 0.0.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of Brighthouse Financial reveal a significant divergence between top-line expansion and capital efficiency. While revenue surged 46.3% year-over-year, the company's return on invested capital stands at just 0.2%, creating a negative spread of -7.3% against its weighted average cost of capital of 7.5%. This indicates that recent growth is destroying value rather than generating alpha relative to the cost of funds. Compounding this concern are distress signals from quality metrics: an Altman Z-Score of 0.0 suggests elevated bankruptcy risk, while a Piotroski F-Score of 5/9 reflects moderate but not robust financial strength compared to sector peers.
Valuation multiples present a stark contrast to these underlying operational realities. The stock trades at a forward P/E of 10.5x, which is substantially below the sector average of 18.9x and implies significant downside risk relative to historical norms if earnings quality does not improve. Although the current price appears discounted on an absolute basis, the low multiple likely reflects market skepticism regarding sustainability rather than undervaluation; the combination of negative ROIC-WACC spread and a zero Altman Z-Score suggests the market is pricing in potential capital erosion or restructuring costs that could further compress earnings power before any mean reversion occurs.
The risk/reward profile appears skewed heavily toward downside volatility given the confluence of value-destructive growth, high distress indicators, and a valuation gap driven by fundamental deterioration rather than temporary dislocation. Investors must weigh whether the depressed multiple offers sufficient margin of safety against the probability that continued negative spreads on capital allocation will prevent any meaningful recovery in shareholder returns without significant operational or strategic pivots.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Valuation Context
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
Balance Sheet Health
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 MDYV, the fund manager is mechanically forced to buy or sell BHF shares regardless of Brighthouse Financial, Inc.'s individual fundamentals. We estimate $110M of passive capital is structurally linked to BHF through 8 tracked ETFs. Passive flows have a limited but growing influence on BHF's daily trading dynamics.
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 Brighthouse Financial, Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If Brighthouse Financial, Inc. (BHF) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies UNUM GROUP (UNM) as the most exposed collateral stock, sharing 3 ETFs with BHF. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 8 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
BHF Ownership Dynamics
ETFs with Highest BHF Exposure
Float lock-up computed from 8 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.
| Date | Failed Shares | Close Price | Notional Value |
|---|---|---|---|
| 2026-05-13 | 26 | $61.09 | $1,588.34 |
| 2026-05-11 | 1 | $61.38 | $61.38 |
| 2026-05-07 | 150 | $62.57 | $9,385.5 |
| 2026-05-01 | 25 | $62.26 | $1,556.5 |
| 2026-04-30 | 25 | $61.93 | $1,548.25 |
| 2026-04-29 | 25 | $61.72 | $1,543 |
| 2026-04-22 | 22 | $61.90 | $1,361.8 |
| 2026-04-06 | 3,328 | $59.78 | $198,947.84 |
| 2026-04-02 | 3,328 | $59.63 | $198,448.64 |
| 2026-03-31 | 7,702 | $59.92 | $461,503.84 |
| 2026-03-30 | 1,640 | $59.98 | $98,367.2 |
| 2026-03-27 | 728 | $60.47 | $44,022.16 |
| 2026-03-26 | 7,201 | $60.54 | $435,948.54 |
| 2026-02-27 | 314,804 | $60.21 | $19.0M |
| 2026-02-24 | 559 | $62.54 | $34,959.86 |
| 2026-02-23 | 6,500 | $63.93 | $415,545 |
| 2026-02-19 | 7,227 | $63.98 | $462,383.46 |
| 2026-02-18 | 7,009 | $63.91 | $447,945.19 |
| 2026-02-12 | 23,080 | $63.87 | $1.5M |
| 2026-02-11 | 20,043 | $63.82 | $1.3M |
| 2026-02-05 | 2,056 | $63.85 | $131,275.6 |
| 2026-02-04 | 2,042 | $63.68 | $130,034.56 |
| 2026-01-23 | 4,720 | $64.35 | $303,732 |
| 2026-01-22 | 120 | $64.14 | $7,696.8 |
| 2026-01-20 | 5,815 | $64.04 | $372,392.6 |
| 2026-01-16 | 4,315 | $64.09 | $276,548.35 |
| 2026-01-08 | 4,947 | $64.98 | $321,456.06 |
| 2026-01-07 | 9,242 | $65.05 | $601,192.1 |
| 2026-01-02 | 1,647 | $64.79 | $106,709.13 |
| 2025-12-19 | 5,385 | $64.98 | $349,917.3 |
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 BHF 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.