RGA (RGA)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 0.3.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency appears constrained, as the ROIC of 1.0% falls significantly below typical cost-of-capital thresholds, suggesting limited value creation from deployed assets despite a high equity multiplier of 11.56x driving the DuPont ROE to 8.7%. This leverage-dependent return structure relies heavily on thin net margins of 5.0% and low asset turnover of 0.15x rather than operational pricing power or efficiency gains. While the Piotroski F-Score of 6/9 indicates a moderately strong financial position relative to peers, the combination of subpar returns on invested capital and modest revenue growth of 7.4% points to a business model that may struggle to generate compounding value without significant margin expansion or asset base optimization.
Valuation metrics present an apparent discount relative to historical norms, with the current P/E ratio at 11.4x implying a market expectation for continued stagnation in profitability rather than re-rating based on growth potential. This compression suggests investors are pricing in persistent constraints on operating leverage and margin improvement consistent with the low net margins observed. Without evidence of accelerating top-line momentum or an increase in ROIC, the multiple appears to reflect skepticism regarding the sustainability of returns given the high financial leverage inherent in the equity structure.
The absence of insider trading activity over the preceding 90 days provides no contrarian signal from management, while the neutral flow contrasts with potential capital flight if investors perceived deteriorating fundamentals. The risk-reward profile remains ambiguous; although the valuation offers a margin of safety relative to historical averages, the underlying economics characterized by weak ROIC and reliance on leverage limit upside catalysts unless fundamental drivers such as asset turnover or net margins improve materially in subsequent quarters.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
DuPont Analysis — ROE Decomposition
Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.
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 RGA shares regardless of RGA's individual fundamentals. We estimate $996M of passive capital is structurally linked to RGA through 8 tracked ETFs. Passive flows have a limited but growing influence on RGA'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 RGA to visualize passive redemption contagion across ETFs and collateral stocks.
If RGA (RGA) 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 RGA. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 16 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
RGA Ownership Dynamics
ETFs with Highest RGA Exposure
Float lock-up computed from 16 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 | 18,411 | $210.18 | $3.9M |
| 2026-04-22 | 175 | $209.90 | $36,732.5 |
| 2026-03-23 | 801 | $197.99 | $158,589.99 |
| 2026-02-09 | 11 | $225.36 | $2,478.96 |
| 2026-02-03 | 108 | $205.15 | $22,156.2 |
| 2025-12-12 | 184 | $202.93 | $37,339.12 |
| 2025-11-12 | 3 | $185.90 | $557.7 |
| 2025-10-30 | 82 | $189.61 | $15,548.02 |
| 2025-10-14 | 157 | $194.50 | $30,536.5 |
| 2025-10-01 | 691 | $192.13 | $132,761.83 |
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 RGA 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.