SL Green Realty Corp. (SLG)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 4/9, Altman Z 0.4.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of SL Green Realty Corp. present a stark divergence between top-line expansion and bottom-line erosion, as evidenced by revenue growth of 8.4% occurring alongside a net margin contraction to -9.4%. This profitability collapse is mathematically decomposed in the DuPont analysis: while asset turnover remains low at 0.08x and leverage sits at 2.55x, the primary driver of the negative return on equity (-2.0%) is the severe operating inefficiency reflected in the net margin. Compounding this operational distress is a critically weak capital allocation profile; with an ROIC of merely 1.2% against a WACC of 8.9%, the company generates returns that fall significantly short of its cost of capital, resulting in a negative spread of -7.6%. This value-destructive trajectory is corroborated by risk metrics: an Altman Z-Score of 0.4 signals extreme proximity to insolvency thresholds, and a Fama-French alpha of -69.37% indicates substantial underperformance relative to standard market factors over the annualized period.
Valuation multiples appear detached from these deteriorating fundamentals when compared against sector norms. While the stock trades at a P/E multiple that is difficult to contextualize given negative earnings, it sits in contrast to a reported sector average of 89.5x, suggesting either a severe discount due to distress or an anomaly where price-to-book metrics would be more relevant than price-to-earnings for this specific asset class. The market pricing currently reflects these structural headwinds rather than growth potential; the negative Piotroski F-Score of 4/9 suggests weakening financial health, while the Beneish M-Score of -2.30 indicates no signs of earnings manipulation masking poor performance. Consequently, the current valuation does not appear to incorporate a recovery scenario but rather prices in persistent operational challenges and capital destruction inherent to the real estate sector's cyclical pressures.
From an asset pricing perspective, the security exhibits distinct factor characteristics that further complicate its risk-reward profile. The stock displays a positive Value Factor (HML) of 0.518, aligning it with value-oriented portfolios, yet this is counterbalanced by a robust Profitability Factor score (RMW) of only 0.391, which typically rewards high-margin businesses—ironically, SLG's margins are deeply negative. The absence of insider flow over the last 90 days remains neutral, offering no clear signal of management conviction amidst these headwinds. Collectively, the data paints a picture of an asset trapped in a cycle where revenue growth fails to translate into capital accretion, leaving investors exposed to significant downside risk without the safety net of strong profitability or efficient capital deployment.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Price Chart with Moving Averages
Technical Setup
AI GeneratedSLG is trading below both its 50-day and 200-day moving averages, indicating a downtrend in the short to medium term, while the RSI at 41.3 suggests it's approaching oversold territory but hasn't quite reached it yet.
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
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
Dividend History
| Date | Amount | Change |
|---|---|---|
| 2026-03-31 | $0.6180 | +139.5% |
| 2025-11-28 | $0.2580 | 0.0% |
| 2025-10-31 | $0.2580 | 0.0% |
| 2025-09-30 | $0.2580 | 0.0% |
| 2025-08-29 | $0.2580 | 0.0% |
| 2025-07-31 | $0.2580 | 0.0% |
| 2025-06-30 | $0.2580 | 0.0% |
| 2025-05-30 | $0.2580 | 0.0% |
| 2025-04-30 | $0.2580 | 0.0% |
| 2025-03-31 | $0.2580 | 0.0% |
| 2025-02-28 | $0.2580 | 0.0% |
| 2025-01-31 | $0.2580 | 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 SLYV or SPSM, the fund manager is mechanically forced to buy or sell SLG shares regardless of SL Green Realty Corp.'s individual fundamentals. We estimate $204M of passive capital is structurally linked to SLG through 6 tracked ETFs. Passive flows have a limited but growing influence on SLG's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 6 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in SL Green Realty Corp. to visualize passive redemption contagion across ETFs and collateral stocks.
If SL Green Realty Corp. (SLG) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Vanguard Real Estate II Index Fund Institutional Plus Shares (VRTPX) as the most exposed collateral stock, sharing 1 ETFs with SLG. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 6 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
SLG Ownership Dynamics
Passive funds hold 1 in every 14 SLG shares, reducing daily market volatility.
SL Green Realty Corp. (SLG) exerts measurable gravity on the passive index market, currently representing 0.4% of the SLYV (SLYV) and 0.2% of the SPSM (SPSM). Across 6 tracked ETFs, approximately 5M shares (7.2% 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 SLG Exposure
Float lock-up computed from 6 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
SLG 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 SL Green Realty Corp. over the past year sits near $44.70 (11% of 252-day volume). The current price of $45.14 trades 1.0% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target.
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 |
|---|---|---|---|
| 2026-05-13 | 31,272 | $43.65 | $1.4M |
| 2026-05-12 | 269 | $44.22 | $11,895.18 |
| 2026-05-11 | 92,686 | $45.75 | $4.2M |
| 2026-05-08 | 17 | $45.28 | $769.76 |
| 2026-05-07 | 612 | $44.71 | $27,362.52 |
| 2026-05-06 | 4,643 | $43.74 | $203,084.82 |
| 2026-05-04 | 26 | $42.85 | $1,114.1 |
| 2026-05-01 | 9,543 | $42.41 | $404,718.63 |
| 2026-04-30 | 1,502 | $42.41 | $63,699.82 |
| 2026-04-27 | 4,869 | $42.16 | $205,277.04 |
| 2026-04-24 | 337 | $42.06 | $14,174.22 |
| 2026-04-23 | 43,485 | $43.03 | $1.9M |
| 2026-04-20 | 4,841 | $43.28 | $209,518.48 |
| 2026-04-17 | 13 | $40.81 | $530.53 |
| 2026-04-16 | 55,222 | $41.63 | $2.3M |
| 2026-04-15 | 7 | $40.66 | $284.62 |
| 2026-04-13 | 4,676 | $38.42 | $179,651.92 |
| 2026-04-09 | 17 | $38.61 | $656.37 |
| 2026-04-08 | 500 | $37.56 | $18,780 |
| 2026-04-06 | 29 | $36.06 | $1,045.74 |
| 2026-03-31 | 280 | $35.88 | $10,046.4 |
| 2026-03-30 | 492 | $35.33 | $17,382.36 |
| 2026-03-23 | 177 | $37.48 | $6,633.96 |
| 2026-03-19 | 20,748 | $38.37 | $796,100.76 |
| 2026-03-11 | 24,312 | $38.57 | $937,713.84 |
| 2026-03-10 | 217 | $39.14 | $8,493.38 |
| 2026-03-05 | 2,298 | $40.97 | $94,149.06 |
| 2026-03-04 | 9 | $39.05 | $351.45 |
| 2026-03-03 | 123,418 | $37.59 | $4.6M |
| 2026-03-02 | 2,278 | $36.85 | $83,944.3 |
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 | |
| VNO | 0.822 | 0.794 | High co-movement |
| BXP | 0.777 | 0.713 | High co-movement |
| VRTPX | 0.590 | 0.483 | Moderate |
| JLL | 0.524 | 0.497 | Moderate |
| HST | 0.523 | 0.506 | Moderate |
| FRT | 0.517 | 0.404 | Moderate |
| ONB | 0.508 | 0.494 | Moderate |
| CBRE | 0.508 | 0.483 | Moderate |
| UMBF | 0.500 | 0.522 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare SLG 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.