BATS.L (BATS.L)
Quantitative Summary
DeterministicStrong operational fundamentals (Piotroski 7/9) with Altman Z of 1.9.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency at BATS.L demonstrates a robust spread of 2.8%, with ROIC significantly exceeding the WACC, indicating that the business generates returns well above its cost of capital. This profitability is underpinned by exceptional margin quality; an 83.5% gross margin and 30.3% net margin suggest strong pricing power or low variable costs typical of high-margin service models. However, the DuPont decomposition reveals a tension between operational leverage and growth momentum, as revenue contracted slightly year-over-year (-1.0%) despite these expansive margins. The balance sheet health presents a mixed signal: while the Piotroski F-Score of 7/9 reflects strong fundamental stability in profitability and asset management, an Altman Z-Score of 1.9 places the entity in the gray zone between safety and potential distress, warranting scrutiny regarding liquidity or leverage dynamics not fully captured by margin metrics alone.
Valuation currently sits at a 12.6x P/E multiple, which appears compressed relative to the company's high-margin profile but requires context against historical averages and sector peers to determine if this represents an undervalued opportunity or a market discount for growth concerns. The DCF model implies a fair value of $31, suggesting that current pricing may be below intrinsic estimates derived from projected cash flows discounted at the 7% WACC; however, this calculation hinges on specific assumptions about future revenue trajectory and margin sustainability given the recent contraction in top-line activity. The market appears to be pricing in limited growth visibility rather than penalizing the high-quality earnings generation evident in the net margins.
Risk assessment highlights a divergence between operational strength and solvency indicators, as evidenced by the gap between the favorable Piotroski score and the borderline Altman Z-Score. This discrepancy suggests that while profitability trends are resilient, capital structure or liquidity constraints could pose headwinds not immediately apparent from earnings quality metrics alone. Without additional data on insider activity or Fama-French alpha factors to gauge relative risk-adjusted performance versus the broader factor model, the investment case rests primarily on whether the market is overreacting to minor revenue declines given the substantial ROIC-WACC spread and high-margin economics.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 6% | 7% | 9% |
|---|---|---|---|
| 2% | $33 | $24 | $14 |
| 3% | $45 | $31 | $17 |
| 4% | $70 | $43 | $22 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=7.0%, terminal growth 3%. Fair value $31 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
⚠️ Dividend consumes >80% of FCF — sustainability risk.
Balance Sheet Health
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 EWU or DWM, the fund manager is mechanically forced to buy or sell BATS.L shares regardless of BATS.L's individual fundamentals. We estimate $137M of passive capital is structurally linked to BATS.L through 2 tracked ETFs. Passive flows have a limited but growing influence on BATS.L's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 2 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in BATS.L to visualize passive redemption contagion across ETFs and collateral stocks.
If BATS.L (BATS.L) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies HSBC Holdings PLC (HSBA.L) as the most exposed collateral stock, sharing 2 ETFs with BATS.L. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 2 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
BATS.L Ownership Dynamics
ETFs with Highest BATS.L Exposure
Float lock-up computed from 0 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
BATS.L Capital Efficiency
How efficiently does BATS.L convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
BATS.L converts 40% of its EBITDA into free cash flow, a healthy conversion rate indicating efficient capital management — the business generates substantial cash after reinvestment. The 60% reinvestment rate signals aggressive capacity expansion. The positive ROIC-WACC spread of 2.8% confirms that reinvested capital creates shareholder value.
Capital efficiency = Free Cash Flow ÷ EBITDA. Reinvestment = (EBITDA − FCF) ÷ EBITDA. Metrics from latest annual filings. Not investment advice.
Compare BATS.L 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.