FULT (FULT)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 5/9, Altman Z 0.2. DCF fair value of $15 implies 30% downside based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
DCF Sandbox
Interactive5-year two-stage DCF. Terminal growth 3%. Default sliders match the pre-computed base case. Drag to explore scenarios. Not investment advice.
The growth rate the market implicitly expects over the next 10 years to justify today's price. Compare with historical growth of 11% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 7.2% | 9.2% | 11.2% |
|---|---|---|---|
| 2% | $18 | $14 | $11 |
| 3% | $21 | $15 | $12 |
| 4% | $26 | $17 | $13 |
Center = base case. Green = >10% upside, Red = >10% downside vs $21.69.
Pre-computed DCF: WACC=9.2%, terminal growth 3%. Fair value $15 (-30.0%). Not investment advice.
Price Chart with Moving Averages
Technical Setup
AI GeneratedFULT is currently trading at $21.41, a specific price point that requires contextual analysis against its moving averages to determine the prevailing trend direction and momentum strength. Without explicit data regarding whether this price sits above or below key short-term or long-term moving averages, it remains impossible to definitively characterize the asset as being in an uptrend, downtrend, or consolidation phase based solely on the provided figure. The absence of these comparative metrics limits the ability to assess if recent price action represents a continuation of prior movement or a potential reversal signal. Regarding short-term momentum indicators like the Relative Strength Index (RSI), no numerical values are available in the current dataset to evaluate overbought or oversold conditions. Consequently, there is insufficient information to infer whether buying pressure has intensified significantly or if selling dominance might be emerging within the immediate timeframe. A complete technical assessment typically relies on synthesizing price position relative to trend lines with oscillator readings; however, this specific snapshot lacks the necessary variables to construct such a profile. The available data point of $21.41 serves only as an entry-level observation without context from historical averages or momentum oscillators. Any interpretation regarding future directional bias would be speculative in the absence of moving average crossovers or RSI levels that confirm market sentiment. Stakeholders must await further data points, such as specific MA positions and oscillator readings, before forming a comprehensive view on the stock's technical trajectory.
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.
Dividend History
| Date | Amount | Change |
|---|---|---|
| 2026-04-01 | $0.1900 | 0.0% |
| 2025-12-31 | $0.1900 | +5.6% |
| 2025-10-01 | $0.1800 | 0.0% |
| 2025-07-01 | $0.1800 | 0.0% |
| 2025-04-01 | $0.1800 | 0.0% |
| 2024-12-31 | $0.1800 | +5.9% |
| 2024-10-01 | $0.1700 | 0.0% |
| 2024-07-01 | $0.1700 | 0.0% |
| 2024-03-28 | $0.1700 | 0.0% |
| 2023-12-29 | $0.1700 | +6.3% |
| 2023-09-29 | $0.1600 | 0.0% |
| 2023-06-30 | $0.1600 | +6.7% |
Dividend and split data from SEC filings and market data. Amounts are per share, not adjusted for splits. Source: yfinance.
Risk Profile
Sharpe = risk-adjusted return (higher is better). Max drawdown = largest peak-to-trough decline. 1,200+ trading days.
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 KRE or KBE, the fund manager is mechanically forced to buy or sell FULT shares regardless of FULT's individual fundamentals. We estimate $215M of passive capital is structurally linked to FULT through 8 tracked ETFs. Passive flows have a limited but growing influence on FULT'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 FULT to visualize passive redemption contagion across ETFs and collateral stocks.
If FULT (FULT) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies ATLANTIC UNION BANKSHARES CO (AUB) as the most exposed collateral stock, sharing 4 ETFs with FULT. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 11 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
FULT Ownership Dynamics
Passive funds hold 1 in every 18 FULT shares, reducing daily market volatility.
FULT (FULT) exerts measurable gravity on the passive index market, currently representing 1.3% of the KRE (KRE) and 1.0% of the KBE (KBE). Across 11 tracked ETFs, approximately 11M shares (5.7% of float) are held by passive funds and rarely trade on the open market. As passive ownership grows, index inclusion changes may increasingly drive price discovery.
ETFs with Highest FULT Exposure
Float lock-up computed from 11 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
FULT Institutional Volume Profile
252-day volume distribution by price level. The Point of Control (POC) marks — the price where the most institutional volume transacted — an implicit support/resistance floor.
The highest-volume price zone for FULT over the past year sits near $19.84 (9% of 252-day volume). The current price of $21.69 trades 9.3% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target.
Volume Profile computed from 252 trading days of OHLCV data. Volume allocated to price bins proportionally based on daily high-low range. 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 |
|---|---|---|---|
| 2026-05-13 | 5,869 | $21.13 | $124,011.97 |
| 2026-05-06 | 1 | $21.58 | $21.58 |
| 2026-05-05 | 1 | $21.20 | $21.2 |
| 2026-05-04 | 1 | $21.62 | $21.62 |
| 2026-05-01 | 27,072 | $21.59 | $584,484.48 |
| 2026-04-30 | 173 | $21.39 | $3,700.47 |
| 2026-04-29 | 187 | $21.73 | $4,063.51 |
| 2026-04-28 | 1 | $21.92 | $21.92 |
| 2026-04-27 | 1 | $21.43 | $21.43 |
| 2026-04-24 | 1 | $22.08 | $22.08 |
| 2026-04-23 | 1 | $21.84 | $21.84 |
| 2026-04-22 | 1 | $21.86 | $21.86 |
| 2026-04-21 | 1 | $22.12 | $22.12 |
| 2026-04-20 | 1 | $21.99 | $21.99 |
| 2026-04-17 | 9 | $21.44 | $192.96 |
| 2026-04-16 | 1 | $21.74 | $21.74 |
| 2026-04-15 | 1 | $21.72 | $21.72 |
| 2026-04-14 | 1 | $21.62 | $21.62 |
| 2026-04-13 | 1 | $21.54 | $21.54 |
| 2026-04-10 | 35 | $21.82 | $763.7 |
| 2026-04-09 | 1 | $21.33 | $21.33 |
| 2026-04-08 | 635 | $20.80 | $13,208 |
| 2026-04-07 | 1 | $20.77 | $20.77 |
| 2026-04-06 | 1 | $20.53 | $20.53 |
| 2026-04-02 | 25 | $20.58 | $514.5 |
| 2026-04-01 | 65,833 | $20.34 | $1.3M |
| 2026-03-27 | 1,523 | $20.16 | $30,703.68 |
| 2026-03-23 | 1,409 | $19.62 | $27,644.58 |
| 2026-03-16 | 3,088 | $19.65 | $60,679.2 |
| 2026-03-13 | 59 | $19.72 | $1,163.48 |
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.
Price Correlations
Statistical correlation of daily returns with other stocks. High correlations indicate stocks that move together; negative correlations can offer diversification.
| Peer | 252-Day (1Y) | 126-Day (6M) | Direction |
|---|---|---|---|
| WTGXX | NaN | NaN | |
| ASB | 0.897 | 0.905 | High co-movement |
| FNB | 0.896 | 0.895 | High co-movement |
| HWC | 0.887 | 0.886 | High co-movement |
| AUB | 0.887 | 0.880 | High co-movement |
| ONB | 0.887 | 0.901 | High co-movement |
| WTFC | 0.878 | 0.883 | High co-movement |
| CFG | 0.864 | 0.856 | High co-movement |
| VLY | 0.859 | 0.847 | High co-movement |
| ZION | 0.858 | 0.857 | High co-movement |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare FULT to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.
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.