SAP SE (SAP)
Quantitative Summary
DeterministicAt 25.1x earnings — a 61% discount to the sector average of 65.0x — SAP is in the lower valuation range. Financial health metrics are strong: Piotroski 8/9, Altman Z 6.6 (above 3.0 safe zone threshold). DCF fair value of $268 implies 58% upside from current prices based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics demonstrate robust capital efficiency, characterized by a 16.1% ROIC that generates a substantial +7.0% spread over the cost of equity at 9.0%. This return is primarily driven by exceptional operating leverage rather than financial engineering or asset velocity; specifically, a net margin of 19.5% and gross margin of 72.9% account for the majority of returns, while the low asset turnover of 0.52x indicates capital-intensive operations are not the primary value driver. The equity multiplier of 1.56x suggests moderate leverage supports this structure without inflating risk excessively. Qualitative scores reinforce this stability: a Piotroski F-Score of 8/9 signals strong financial health, while an Altman Z-Score of 6.7 and Beneish M-Score of -2.60 effectively rule out insolvency risks or earnings manipulation concerns.
Valuation metrics present a distinct divergence between current market pricing and intrinsic value models. The stock trades at a forward P/E of 24.3x, which must be weighed against the DCF-derived fair value of $287 implying significant upside potential based on an assumed ten-year free cash flow growth rate of 7.8%. While the WACC spread suggests the business creates ample economic value, the market appears to have priced in a specific set of growth expectations that differ from the model's inputs. The discrepancy between the current multiple and the DCF floor implies either a premium for quality or an undervaluation relative to the projected cash flow trajectory embedded in the discounting process.
Risk factor analysis reveals nuanced exposure within the broader equity framework. Despite generating positive Fama-French alpha of 3.80% annually, indicating outperformance against standard benchmarks, the stock exhibits specific sensitivity deltas that warrant attention. The negative Value Factor loading of -0.177 suggests a growth tilt relative to value stocks, while the Profitability Factor score of -0.336 indicates underperformance when isolated on profitability characteristics alone. These factor exposures suggest that while total return has been strong, future performance may be sensitive to shifts in valuation regimes or if market participants begin to re-rate high-margin software names based on pure profitability metrics rather than overall risk-adjusted returns.
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 8% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 7.5% | 9.5% | 11.5% |
|---|---|---|---|
| 2% | $332 | $237 | $183 |
| 3% | $396 | $268 | $200 |
| 4% | $498 | $309 | $222 |
Center = base case. Green = >10% upside, Red = >10% downside vs $190.82.
Pre-computed DCF: WACC=9.4%, terminal growth 3%. Fair value $268 (+57.9%). Not investment advice.
Valuation Context
Currently trading 21% below its 5-year average P/E of 28.9x.
Price Chart with Moving Averages
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
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
Dividend History
| Date | Amount | Change |
|---|---|---|
| 2026-05-05 | $2.9290 | +11.4% |
| 2025-05-13 | $2.6300 | +10.3% |
| 2024-05-16 | $2.3850 | +9.1% |
| 2023-05-12 | $2.1860 | -17.8% |
| 2022-05-19 | $2.6600 | +21.5% |
| 2021-05-13 | $2.1890 | +27.9% |
| 2020-05-21 | $1.7120 | +0.9% |
| 2019-05-16 | $1.6960 | -1.8% |
| 2018-05-18 | $1.7270 | +29.8% |
| 2017-05-11 | $1.3310 | +1.6% |
| 2016-05-10 | $1.3100 | +10.3% |
| 2015-05-18 | $1.1880 | -13.0% |
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 VGK or VSGX, the fund manager is mechanically forced to buy or sell SAP shares regardless of SAP SE's individual fundamentals. We estimate $5.0B of passive capital is structurally linked to SAP 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 SAP SE to visualize passive redemption contagion across ETFs and collateral stocks.
If SAP SE (SAP) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Taiwan Semiconductor Manufacturing Co. Ltd. (2330) as the most exposed collateral stock, sharing 2 ETFs with SAP. 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.
SAP Ownership Dynamics
Passive funds hold 1 in every 35 SAP shares, reducing daily market volatility.
SAP SE (SAP) exerts measurable gravity on the passive index market, currently representing 1.1% of the VGK (VGK) and 0.6% of the VSGX (VSGX). Across 11 tracked ETFs, approximately 33M shares (2.8% 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 SAP Exposure
Float lock-up computed from 11 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
SAP 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 SAP SE over the past year sits near $170.18 (13% of 252-day volume). The current price of $190.82 trades 12.1% 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.
SAP Capital Efficiency
How efficiently does SAP SE convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
SAP SE converts 70% 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 6.6% 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 |
|---|---|---|---|
| 2026-05-14 | 1,509 | $160.82 | $242,677.38 |
| 2026-05-12 | 31,792 | $170.10 | $5.4M |
| 2026-05-11 | 33,983 | $173.70 | $5.9M |
| 2026-05-04 | 20 | $170.76 | $3,415.2 |
| 2026-05-01 | 44,192 | $169.49 | $7.5M |
| 2026-04-30 | 24,477 | $170.10 | $4.2M |
| 2026-04-29 | 5,888 | $173.49 | $1.0M |
| 2026-04-27 | 50,480 | $175.26 | $8.8M |
| 2026-04-24 | 27 | $163.25 | $4,407.75 |
| 2026-04-23 | 38,066 | $174.02 | $6.6M |
| 2026-04-22 | 155 | $176.44 | $27,348.2 |
| 2026-04-21 | 20,959 | $178.94 | $3.8M |
| 2026-04-20 | 342 | $181.22 | $61,977.24 |
| 2026-04-17 | 70,266 | $177.41 | $12.5M |
| 2026-04-16 | 2,731 | $172.90 | $472,189.9 |
| 2026-04-13 | 106 | $163.10 | $17,288.6 |
| 2026-04-09 | 113,840 | $169.18 | $19.3M |
| 2026-04-01 | 2,431 | $171.21 | $416,211.51 |
| 2026-03-30 | 879 | $164.02 | $144,173.58 |
| 2026-03-26 | 16,057 | $168.95 | $2.7M |
| 2026-03-25 | 41,780 | $171.00 | $7.1M |
| 2026-03-20 | 3,831 | $185.01 | $708,773.31 |
| 2026-03-17 | 2,145 | $191.63 | $411,046.35 |
| 2026-03-16 | 69,169 | $189.94 | $13.1M |
| 2026-03-13 | 76 | $190.50 | $14,478 |
| 2026-03-10 | 60,940 | $200.10 | $12.2M |
| 2026-03-06 | 112 | $199.48 | $22,341.76 |
| 2026-03-04 | 9,530 | $196.33 | $1.9M |
| 2026-03-02 | 851 | $201.53 | $171,502.03 |
| 2026-02-27 | 1,203 | $204.68 | $246,230.04 |
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 | |
| NOW | 0.528 | 0.634 | Moderate |
| MSFT | 0.497 | 0.646 | Moderate |
| CRM | 0.492 | 0.557 | Moderate |
| INTU | 0.480 | 0.576 | Moderate |
| WDAY | 0.475 | 0.534 | Moderate |
| ADSK | 0.456 | 0.579 | Moderate |
| ACN | 0.455 | 0.495 | Moderate |
| OKTA | 0.454 | 0.500 | Moderate |
| CDNS | 0.445 | 0.489 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare SAP 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.