Snowflake Inc. (SNOW)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 5/9, Altman Z 2.2. DCF fair value of $89 implies 33% downside based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of Snowflake reveal a company grappling with significant capital inefficiency, evidenced by an ROIC-WACC spread that is deeply negative at -17.7%, signaling substantial value destruction relative to the cost of equity. This weakness permeates the DuPont decomposition, where a net margin contraction to -35.4% drives the return on equity down to -42.8%, despite asset turnover and leverage factors remaining static; such persistent losses are reflected in a Piotroski F-Score of 4/9, indicating moderate financial health but failing to meet robust criteria for quality earnings. Conversely, the Beneish M-Score of -3.91 suggests management actions appear consistent with genuine growth rather than manipulation attempts, yet this is counterbalanced by severe profitability factor (RMW) exposure at -1.680 and a value factor tilt of -0.408 that penalizes the stock for its high-growth characteristics while lacking current income generation.
Valuation metrics present a stark divergence between intrinsic models and market pricing, with a DCF fair value estimate of $116 implying approximately 23% downside from current levels based on an assumed long-term free cash flow growth rate of 18.4%. The significant gap between the negative ROIC-WACC spread and the implied future FCF growth highlights that the market is currently pricing in a rapid transition to profitability that has not yet materialized, creating substantial uncertainty regarding whether the premium valuation can be sustained through this turnaround phase.
Risk assessment data further complicates the investment thesis, as the stock exhibits a negative annual Fama-French alpha of -9.88%, suggesting underperformance relative to its factor exposures over time. This is compounded by notable insider activity, with $117.99 million in net selling recorded over the past 90 days, which may signal management's view on near-term liquidity or capital allocation priorities amidst continued burn rates.
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 29% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 9.9% | 11.9% | 13.9% |
|---|---|---|---|
| 2% | $105 | $82 | $67 |
| 3% | $117 | $89 | $72 |
| 4% | $134 | $98 | $77 |
Center = base case. Green = >10% upside, Red = >10% downside vs $261.14.
Pre-computed DCF: WACC=11.9%, terminal growth 3%. Fair value $89 (-33.4%). Not investment advice.
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.
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 VXF or VOT, the fund manager is mechanically forced to buy or sell SNOW shares regardless of Snowflake Inc.'s individual fundamentals. We estimate $3.3B of passive capital is structurally linked to SNOW 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 Snowflake Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If Snowflake Inc. (SNOW) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies NVIDIA Corp. (NVDA) as the most exposed collateral stock, sharing 2 ETFs with SNOW. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 13 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
SNOW Ownership Dynamics
Passive funds hold 1 in every 13 SNOW shares, reducing daily market volatility.
Snowflake Inc. (SNOW) exerts measurable gravity on the passive index market, currently representing 0.6% of the VXF (VXF) and 0.5% of the VOT (VOT). Across 14 tracked ETFs, approximately 27M shares (7.7% 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 SNOW Exposure
Float lock-up computed from 14 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
SNOW 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 Snowflake Inc. over the past year sits near $222.49 (13% of 252-day volume). The current price of $261.14 trades 17.4% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target. The highly concentrated volume profile (13% 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.
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 | 3,784 | $152.37 | $576,568.08 |
| 2026-05-11 | 200 | $152.45 | $30,490 |
| 2026-05-08 | 132 | $153.72 | $20,291.04 |
| 2026-04-30 | 1,383 | $141.22 | $195,307.26 |
| 2026-04-24 | 4,581 | $146.40 | $670,658.4 |
| 2026-04-15 | 100 | $135.47 | $13,547 |
| 2026-04-14 | 5 | $134.24 | $671.2 |
| 2026-04-13 | 189,279 | $121.11 | $22.9M |
| 2026-04-10 | 38,351 | $132.24 | $5.1M |
| 2026-04-07 | 500 | $149.38 | $74,690 |
| 2026-03-24 | 1,236 | $174.20 | $215,311.2 |
| 2026-03-18 | 800 | $174.60 | $139,680 |
| 2026-03-17 | 387 | $174.40 | $67,492.8 |
| 2026-03-12 | 11,385 | $179.43 | $2.0M |
| 2026-03-11 | 28,107 | $175.32 | $4.9M |
| 2026-03-09 | 1,574 | $180.48 | $284,075.52 |
| 2026-03-05 | 29 | $168.26 | $4,879.54 |
| 2026-03-03 | 2,023 | $170.33 | $344,577.59 |
| 2026-03-02 | 200 | $168.41 | $33,682 |
| 2026-02-27 | 9,959 | $173.06 | $1.7M |
| 2026-02-25 | 206,220 | $161.06 | $33.2M |
| 2026-02-20 | 1,482 | $179.20 | $265,574.4 |
| 2026-02-18 | 9,478 | $177.10 | $1.7M |
| 2026-02-10 | 461 | $175.95 | $81,112.95 |
| 2026-02-09 | 4,480 | $168.43 | $754,566.4 |
| 2026-02-05 | 11,295 | $165.29 | $1.9M |
| 2026-01-30 | 200 | $199.37 | $39,874 |
| 2026-01-27 | 225 | $211.27 | $47,535.75 |
| 2026-01-20 | 20,753 | $210.38 | $4.4M |
| 2026-01-16 | 44 | $207.74 | $9,140.56 |
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 | |
| CRWD | 0.628 | 0.741 | Moderate |
| ZS | 0.590 | 0.625 | Moderate |
| DDOG | 0.585 | 0.594 | Moderate |
| NET | 0.580 | 0.607 | Moderate |
| NOW | 0.565 | 0.581 | Moderate |
| TENB | 0.560 | 0.673 | Moderate |
| OKTA | 0.555 | 0.706 | Moderate |
| S | 0.555 | 0.650 | Moderate |
| RBRK | 0.532 | 0.549 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare SNOW 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.