Verisk Analytics, Inc. (VRSK)
Quantitative Summary
DeterministicAt 26.7x earnings — a 40% discount to the sector average of 44.7x — VRSK is in the lower valuation range. Financial health metrics are strong: Piotroski 7/9, Altman Z 5.4 (above 3.0 safe zone threshold). DCF fair value of $59 implies 65% downside based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of this Industrials sector leader reveal a highly leveraged capital structure generating exceptional returns, with an ROIC-WACC spread of +18.0% indicating robust value creation potential. This high efficiency is mathematically driven primarily by significant financial leverage rather than operational intensity; the DuPont decomposition shows equity turnover at 20x while asset turnover remains modest at 0.50x, resulting in a staggering ROE of 293.2%. Quality metrics reinforce this stability, evidenced by a Piotroski F-Score of 7/9 and an Altman Z-Score of 6.0 that suggests low distress probability, alongside a Beneish M-Score of -3.09 pointing to minimal earnings manipulation risk. Despite these strengths, the revenue base expanded at only 6.6% year-over-year while maintaining a net margin of 29.6%, highlighting a business model reliant on scale and leverage rather than explosive volume growth.
Valuation analysis presents a stark divergence between market pricing and intrinsic value models. The current P/E multiple of 28.6x trades at a significant discount to the sector average of 44.2x, yet this compression is not reflected in discounted cash flow assumptions which imply substantial downside risk relative to fair value estimates. Specifically, DCF modeling suggests a fair value of $59, implying an upside gap of -68.8% from current levels, indicating that the market may be pricing in aggressive growth expectations inconsistent with the implied 10-year FCF growth rate of 25.1%. This disconnect between high historical profitability factors and depressed relative multiples suggests a complex re-rating dynamic where value is not yet fully recognized despite superior fundamentals compared to peers.
Risk-adjusted performance metrics indicate that recent alpha generation has been negative, with an annualized Fama-French Alpha of -42.48%, suggesting the stock has underperformed its factor benchmarks over the measured period. While the Profitability Factor (RMW) sits at a neutral -0.065 and Value Factor (HML) is marginally positive at 0.060, insider activity shows $367,396 in net buying over the last 90 days, which may signal confidence from management despite the negative alpha trajectory. The combination of strong quality scores against a backdrop of significant valuation compression and recent underperformance creates an asymmetric risk profile where future returns depend heavily on whether the market re-evaluates the sustainability of its high-leverage return model.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
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 7% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 7.2% | 9.2% | 11.2% |
|---|---|---|---|
| 2% | $74 | $52 | $40 |
| 3% | $90 | $59 | $44 |
| 4% | $116 | $69 | $49 |
Center = base case. Green = >10% upside, Red = >10% downside vs $179.10.
Pre-computed DCF: WACC=9.2%, terminal growth 3%. Fair value $59 (-64.7%). Not investment advice.
Valuation Context
Currently trading 81% below its 5-year average P/E of 136.5x.
Price Chart with Moving Averages
Technical Setup
AI GeneratedVerisk's stock is trading slightly below its 50-day simple moving average, indicating a recent loss of short-term upward momentum, while it remains well under the longer-term 200-day SMA, suggesting an overall downward trend in the medium term. The RSI at 52.5 shows that the stock is neither overbought nor oversold and sits right around neutral territory, implying balanced near-term buying and selling pressures.
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 |
|---|---|---|
| 2026-03-13 | $0.5000 | +11.1% |
| 2025-12-15 | $0.4500 | 0.0% |
| 2025-09-15 | $0.4500 | 0.0% |
| 2025-06-13 | $0.4500 | 0.0% |
| 2025-03-14 | $0.4500 | +15.4% |
| 2024-12-13 | $0.3900 | 0.0% |
| 2024-09-13 | $0.3900 | 0.0% |
| 2024-06-14 | $0.3900 | 0.0% |
| 2024-03-14 | $0.3900 | +14.7% |
| 2023-12-14 | $0.3400 | 0.0% |
| 2023-09-14 | $0.3400 | 0.0% |
| 2023-06-14 | $0.3400 | 0.0% |
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.
Fama-French 5-Factor Exposure
Academic factor model decomposition — what's really driving this stock's returns.
Fama-French 5-Factor Model. Data: Kenneth French Data Library. Regression over 3 years of daily returns.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like VOT or XLI, the fund manager is mechanically forced to buy or sell VRSK shares regardless of Verisk Analytics, Inc.'s individual fundamentals. We estimate $4.4B of passive capital is structurally linked to VRSK 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 Verisk Analytics, Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If Verisk Analytics, Inc. (VRSK) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies CATERPILLAR INC (CAT) as the most exposed collateral stock, sharing 1 ETFs with VRSK. 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.
VRSK Ownership Dynamics
Passive funds hold 1 in every 6 VRSK shares, reducing daily market volatility.
Verisk Analytics, Inc. (VRSK) exerts notable gravity on the passive index market, currently representing 0.6% of the VOT (VOT) and 0.5% of the State Street Industrial Select Sector SPDR ETF (XLI). Across 31 tracked ETFs, approximately 24M shares (18.1% of float) are held by passive funds and rarely trade on the open market. This level of passive ownership means index rebalances can create outsized volume events.
ETFs with Highest VRSK Exposure
Float lock-up computed from 31 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
VRSK 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 Verisk Analytics, Inc. over the past year sits near $217.93 (17% of 252-day volume). The current price of $179.10 sits 17.8% below the POC — suggesting potential mean-reversion upside if institutional demand reasserts at this level. The highly concentrated volume profile (17% at POC) indicates strong consensus on fair value — institutional participants have repeatedly transacted near this price.
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.
VRSK Capital Efficiency
How efficiently does Verisk Analytics, Inc. convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
Verisk Analytics, Inc. converts 71% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. The positive ROIC-WACC spread of 18.1% 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.
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 |
|---|---|---|---|
| 2026-05-07 | 27 | $170.94 | $4,615.38 |
| 2026-05-06 | 13,036 | $180.45 | $2.4M |
| 2026-05-04 | 9 | $181.11 | $1,629.99 |
| 2026-04-29 | 3 | $176.66 | $529.98 |
| 2026-04-22 | 4,852 | $182.09 | $883,500.68 |
| 2026-04-15 | 3 | $170.63 | $511.89 |
| 2026-04-14 | 21 | $167.87 | $3,525.27 |
| 2026-04-09 | 236 | $175.43 | $41,401.48 |
| 2026-04-02 | 271 | $183.50 | $49,728.5 |
| 2026-04-01 | 30 | $189.75 | $5,692.5 |
| 2026-03-27 | 3,640 | $185.75 | $676,130 |
| 2026-03-26 | 2,421 | $185.05 | $448,006.05 |
| 2026-03-25 | 4,696 | $194.73 | $914,452.08 |
| 2026-03-23 | 6 | $201.75 | $1,210.5 |
| 2026-03-19 | 61 | $204.39 | $12,467.79 |
| 2026-03-18 | 340 | $203.79 | $69,288.6 |
| 2026-03-13 | 134 | $198.04 | $26,537.36 |
| 2026-03-10 | 655 | $210.28 | $137,733.4 |
| 2026-03-06 | 7 | $211.22 | $1,478.54 |
| 2026-03-04 | 29,617 | $214.75 | $6.4M |
| 2026-02-17 | 14,759 | $181.21 | $2.7M |
| 2026-02-13 | 27,085 | $179.00 | $4.8M |
| 2026-02-09 | 17,476 | $179.10 | $3.1M |
| 2026-01-28 | 70,577 | $216.28 | $15.3M |
| 2026-01-21 | 314,152 | $218.49 | $68.6M |
| 2026-01-02 | 148 | $223.69 | $33,106.12 |
| 2025-12-26 | 91,730 | $218.85 | $20.1M |
| 2025-12-23 | 48 | $220.44 | $10,581.12 |
| 2025-12-22 | 5,384 | $218.03 | $1.2M |
| 2025-12-15 | 132 | $217.14 | $28,662.48 |
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 | |
| SPGI | 0.607 | 0.681 | Moderate |
| FDS | 0.560 | 0.602 | Moderate |
| MCO | 0.532 | 0.591 | Moderate |
| ADP | 0.519 | 0.508 | Moderate |
| MSCI | 0.513 | 0.606 | Moderate |
| RSG | 0.462 | 0.372 | Moderate |
| PAYX | 0.450 | 0.419 | Moderate |
| MMC | 0.444 | 0.333 | Moderate |
| NDAQ | 0.437 | 0.498 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare VRSK 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.