SYF (SYF)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 5/9, Altman Z 0.6.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
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
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 ONEY or VOE, the fund manager is mechanically forced to buy or sell SYF shares regardless of SYF's individual fundamentals. We estimate $3.7B of passive capital is structurally linked to SYF 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 SYF to visualize passive redemption contagion across ETFs and collateral stocks.
If SYF (SYF) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies BERKSHIRE HATHAWAY INC CL B (BRK.B) as the most exposed collateral stock, sharing 2 ETFs with SYF. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 31 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
SYF Ownership Dynamics
ETFs with Highest SYF Exposure
Float lock-up computed from 31 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 |
|---|---|---|---|
| 2026-05-14 | 2,562 | $69.81 | $178,853.22 |
| 2026-05-04 | 6 | $75.76 | $454.56 |
| 2026-04-22 | 70,408 | $77.63 | $5.5M |
| 2026-04-20 | 4,928 | $78.34 | $386,059.52 |
| 2026-04-16 | 502 | $75.99 | $38,146.98 |
| 2026-04-15 | 3 | $75.55 | $226.65 |
| 2026-04-06 | 645 | $68.42 | $44,130.9 |
| 2026-03-25 | 36 | $67.27 | $2,421.72 |
| 2026-03-23 | 32,235 | $66.19 | $2.1M |
| 2026-03-10 | 239 | $67.12 | $16,041.68 |
| 2026-03-09 | 11,185 | $66.67 | $745,703.95 |
| 2026-03-05 | 32,434 | $69.27 | $2.2M |
| 2026-03-03 | 109,982 | $68.64 | $7.5M |
| 2026-02-27 | 43,299 | $73.98 | $3.2M |
| 2026-02-23 | 74,758 | $73.37 | $5.5M |
| 2026-02-17 | 52 | $71.38 | $3,711.76 |
| 2026-02-09 | 284 | $75.16 | $21,345.44 |
| 2026-02-04 | 20 | $73.90 | $1,478 |
| 2026-02-02 | 2,900 | $72.63 | $210,627 |
| 2026-01-20 | 821 | $80.19 | $65,835.99 |
| 2026-01-13 | 602 | $79.63 | $47,937.26 |
| 2025-12-18 | 1,732 | $83.23 | $144,154.36 |
| 2025-11-18 | 70 | $70.47 | $4,932.9 |
| 2025-11-17 | 2,765 | $73.09 | $202,093.85 |
| 2025-11-12 | 104,993 | $74.42 | $7.8M |
| 2025-11-05 | 630 | $73.30 | $46,179 |
| 2025-11-04 | 748 | $74.01 | $55,359.48 |
| 2025-10-31 | 357,268 | $73.59 | $26.3M |
| 2025-10-29 | 36 | $74.72 | $2,689.92 |
| 2025-10-23 | 13,616 | $73.01 | $994,104.16 |
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 SYF 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.