FIG (FIG)
Quantitative Summary
DeterministicBelow-average fundamentals indicated by Piotroski score of 3/9.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of FIG present a stark divergence between top-line expansion and bottom-line destruction. While revenue growth accelerates at 41% year-over-year, indicating strong market demand or pricing power, the company operates with a net margin contraction to -118.4%, signaling that operating expenses are consuming nearly twice the generated profit. This inefficiency is compounded by an ROIC of -64.8%, which suggests capital allocation is actively eroding shareholder value rather than generating returns above the cost of equity. Although high gross margins at 82.4% hint at a potentially defensible product moat, this advantage is entirely negated by operational overhead or significant other-than-operating losses. Qualitative risk indicators further amplify concerns; a Piotroski F-Score of 3/9 reflects weak financial health across nine criteria, while the Beneish M-Score of -4.56 falls well below the typical threshold for manipulation detection, raising red flags regarding earnings quality and potential accounting irregularities despite the aggressive growth narrative.
Valuation metrics currently reflect extreme skepticism from the market, pricing in a complete resolution to the company's profitability crisis before any recovery is realized. The disparity between current trading levels and the DCF-derived fair value of $5 implies that investors are heavily discounting future cash flows due to the persistent negative net margins and capital destruction evident in recent periods. This valuation gap suggests the market expects either a fundamental restructuring or a significant turnaround in operating leverage, as traditional multiples cannot be meaningfully assessed given the loss-making status. The implied growth required to justify current prices would need to be substantial enough to offset the massive drag on returns caused by the -64.8% ROIC, creating a scenario where even robust revenue expansion of 41% may not suffice to restore intrinsic value without corresponding margin normalization.
The risk-reward profile is heavily skewed toward downside volatility driven by deteriorating quality scores and negative capital efficiency. The combination of low Piotroski fundamentals and an M-Score suggesting potential earnings manipulation creates a high-risk environment where reported growth figures may lack sustainability or transparency. Unless there is undisclosed operational leverage turning those razor-thin gross margins into profitable net results, the current trajectory indicates continued value destruction that could widen the gap between market price and intrinsic worth.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $6 | $5 | $4 |
| 3% | $7 | $5 | $4 |
| 4% | $9 | $6 | $5 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $5 (+0.0%). Not investment advice.
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 ARKW or ARKK, the fund manager is mechanically forced to buy or sell FIG shares regardless of FIG's individual fundamentals. We estimate $126M of passive capital is structurally linked to FIG through 3 tracked ETFs. Passive flows have a limited but growing influence on FIG's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 3 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in FIG to visualize passive redemption contagion across ETFs and collateral stocks.
If FIG (FIG) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies TESLA INC (TSLA) as the most exposed collateral stock, sharing 2 ETFs with FIG. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 3 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
FIG Ownership Dynamics
ETFs with Highest FIG Exposure
Float lock-up computed from 4 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 |
|---|---|---|---|
| 2026-05-11 | 7,984 | $20.66 | $164,949.44 |
| 2026-05-08 | 993,171 | $20.56 | $20.4M |
| 2026-05-07 | 1,012,620 | $19.29 | $19.5M |
| 2026-05-05 | 22,618 | $19.96 | $451,455.28 |
| 2026-05-04 | 96,694 | $18.74 | $1.8M |
| 2026-05-01 | 570,726 | $17.70 | $10.1M |
| 2026-04-30 | 23,805 | $16.86 | $401,352.3 |
| 2026-04-29 | 111,162 | $17.18 | $1.9M |
| 2026-04-28 | 11,293 | $17.31 | $195,481.83 |
| 2026-04-27 | 2,351,495 | $17.47 | $41.1M |
| 2026-04-23 | 124,741 | $19.17 | $2.4M |
| 2026-04-20 | 3,892 | $18.92 | $73,636.64 |
| 2026-04-15 | 4,057 | $18.42 | $74,729.94 |
| 2026-04-13 | 5,788 | $18.16 | $105,110.08 |
| 2026-04-10 | 5,788 | $19.08 | $110,435.04 |
| 2026-04-08 | 3,055 | $21.19 | $64,735.45 |
| 2026-04-07 | 453 | $21.42 | $9,703.26 |
| 2026-04-06 | 1,252 | $21.27 | $26,630.04 |
| 2026-04-01 | 212 | $21.14 | $4,481.68 |
| 2026-03-31 | 271,467 | $20.16 | $5.5M |
| 2026-03-30 | 85,009 | $20.19 | $1.7M |
| 2026-03-26 | 700,000 | $21.09 | $14.8M |
| 2026-03-25 | 1,042,024 | $21.87 | $22.8M |
| 2026-03-24 | 491,122 | $23.20 | $11.4M |
| 2026-03-23 | 914,274 | $23.73 | $21.7M |
| 2026-03-20 | 264,663 | $24.22 | $6.4M |
| 2026-03-19 | 26,251 | $25.26 | $663,100.26 |
| 2026-03-18 | 84,560 | $27.45 | $2.3M |
| 2026-03-11 | 11,263 | $28.35 | $319,306.05 |
| 2026-03-04 | 544,087 | $30.74 | $16.7M |
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 FIG 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.