Exelon Corporation (EXC)
Quantitative Summary
DeterministicAt 16.7x earnings — a 31% discount to the sector average of 24.4x — EXC is in the lower valuation range. Financial health is average: Piotroski 6/9, Altman Z 0.8.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedExelon's capital allocation efficiency presents a structural constraint, evidenced by an ROIC of 4.0% that falls significantly short of the estimated cost of equity at 6.1%, resulting in a negative spread of -2.1%. This value destruction is partially masked within a DuPont-decomposed Return on Equity of 9.6%, which relies heavily on financial leverage rather than operational efficiency, as indicated by an Asset Turnover ratio of merely 0.21x and an Equity Multiplier of 4.05x. While the Piotroski F-Score of 6/9 suggests moderate fundamental stability and a Beneish M-Score of -2.33 points to low earnings manipulation risk, the Altman Z-Score of 0.8 flags elevated distress risks typical for capital-intensive utility models operating with thin margins relative to their asset base.
Valuation metrics indicate the market is pricing in growth expectations that exceed current operational realities, as the stock's P/E ratio of 18.1x trades at a substantial discount to the sector average of 22.5x despite generating revenue growth of only 5.3% year-over-year. This divergence suggests the market may be anticipating mean reversion in margins or efficiency improvements not yet reflected in current financial statements, rather than rewarding the existing capital structure where net margins sit at 11.4%. The discrepancy between the low ROIC and a valuation that implies future expansion creates a tension between the company's ability to generate cash flows above its cost of capital and the premium investors are currently willing to pay for those anticipated returns.
From an asset pricing perspective, Exelon exhibits distinct factor characteristics with a Fama-French Alpha of 10.19% annually, coupled with a positive Value Factor exposure (HML) of 0.521 that aligns with its depressed valuation relative to peers. However, the Profitability Factor score of -0.026 indicates neutral-to-negative performance on profitability adjustments, suggesting that traditional value premiums may be insufficient to fully compensate for underlying operational inefficiencies. With insider activity remaining flat over the past 90 days at $0, there is no immediate signal of management confidence or distress driving trading volume, leaving the risk-reward profile dependent entirely on whether future capital expenditures can successfully narrow the gap between ROIC and WACC.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Valuation Context
Currently trading 6% above its 5-year average P/E of 16.8x.
Price Chart with Moving Averages
Technical Setup
AI GeneratedExelon Corporation's current price of $44.62 within the Utilities sector presents a neutral-to-defensive technical profile often associated with institutional risk management rather than aggressive capital deployment. The absence of significant bullish or bearish momentum in the provided snapshot suggests that larger market participants may be positioning for stability, utilizing the stock as a ballast against broader volatility. In this context, any potential Simple Moving Average crossovers would likely reflect large-cap funds rebalancing portfolios to maintain exposure to regulated utility flows without committing new capital based on speculative price breaks. Volume trends in such sectors typically mirror institutional sentiment regarding dividend reliability and long-term yield preservation rather than short-term speculation. If trading activity remains subdued relative to historical averages, it implies that major players are not actively accumulating or distributing shares at these levels, instead waiting for clearer macroeconomic signals before committing significant liquidity. This consolidation phase often indicates a strategic pause where institutions assess regulatory headwinds or interest rate impacts before adjusting their utility allocations. The price action hovering near $44.62 without extreme deviations suggests that institutional order flow is currently balanced between buyers seeking income and sellers protecting capital from potential stagnation. Such behavior points to a market environment where large entities prioritize certainty over growth, treating the asset as a core holding subject to periodic re-evaluation rather than a vehicle for directional bets. Ultimately, the technical landscape reflects a cautious stance by sophisticated investors who are monitoring external factors before making material adjustments to their positions in this sector leader.
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 |
|---|---|---|
| 2026-03-02 | $0.4200 | +5.0% |
| 2025-11-10 | $0.4000 | 0.0% |
| 2025-08-11 | $0.4000 | 0.0% |
| 2025-05-12 | $0.4000 | 0.0% |
| 2025-02-24 | $0.4000 | +5.3% |
| 2024-11-08 | $0.3800 | 0.0% |
| 2024-08-12 | $0.3800 | 0.0% |
| 2024-05-10 | $0.3800 | 0.0% |
| 2024-03-01 | $0.3800 | +5.6% |
| 2023-11-14 | $0.3600 | 0.0% |
| 2023-08-14 | $0.3600 | 0.0% |
| 2023-05-12 | $0.3600 | 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 XLU or VPU, the fund manager is mechanically forced to buy or sell EXC shares regardless of Exelon Corporation's individual fundamentals. We estimate $8.7B of passive capital is structurally linked to EXC through 8 tracked ETFs. This substantial passive exposure means that ETF inflows and outflows — not company fundamentals — can dominate daily volume on this stock.
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 Exelon Corporation to visualize passive redemption contagion across ETFs and collateral stocks.
If Exelon Corporation (EXC) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies NEXTERA ENERGY INC (NEE) as the most exposed collateral stock, sharing 1 ETFs with EXC. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 32 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
EXC Ownership Dynamics
Passive funds hold 1 in every 5 EXC shares, reducing daily market volatility.
Exelon Corporation (EXC) exerts notable gravity on the passive index market, currently representing 3.3% of the State Street Utilities Select Sector SPDR ETF (XLU) and 2.6% of the VPU (VPU). Across 32 tracked ETFs, approximately 194M shares (18.9% 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 EXC Exposure
Float lock-up computed from 32 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
EXC 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 Exelon Corporation over the past year sits near $44.15 (10% of 252-day volume). The current price of $45.00 trades 1.9% 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.
EXC Capital Efficiency
How efficiently does Exelon Corporation convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
Exelon Corporation converts -27% of its EBITDA into free cash flow, negative FCF conversion — the company is consuming cash faster than it generates EBITDA, which is unsustainable long-term. The 127% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-2.0%), suggesting reinvested capital is destroying 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 | 3,320 | $44.27 | $146,976.4 |
| 2026-05-04 | 2 | $46.50 | $93 |
| 2026-04-28 | 23,884 | $46.59 | $1.1M |
| 2026-04-24 | 4,944 | $46.75 | $231,132 |
| 2026-04-22 | 25,829 | $46.27 | $1.2M |
| 2026-04-17 | 445 | $47.59 | $21,177.55 |
| 2026-04-15 | 521 | $48.66 | $25,351.86 |
| 2026-04-10 | 8,199 | $49.44 | $405,358.56 |
| 2026-04-06 | 3,828 | $49.33 | $188,835.24 |
| 2026-04-01 | 3,053 | $49.02 | $149,658.06 |
| 2026-03-27 | 12,964 | $48.40 | $627,457.6 |
| 2026-03-25 | 101 | $47.29 | $4,776.29 |
| 2026-03-20 | 2,926 | $48.01 | $140,477.26 |
| 2026-03-19 | 232,044 | $49.25 | $11.4M |
| 2026-02-25 | 265 | $48.59 | $12,876.35 |
| 2026-02-24 | 190,520 | $48.20 | $9.2M |
| 2026-02-23 | 1,000 | $47.79 | $47,790 |
| 2026-02-06 | 8,878 | $44.06 | $391,164.68 |
| 2026-01-23 | 6,491 | $44.60 | $289,498.6 |
| 2025-12-29 | 144 | $43.56 | $6,272.64 |
| 2025-12-23 | 78 | $43.55 | $3,396.9 |
| 2025-12-22 | 3,218 | $43.66 | $140,497.88 |
| 2025-12-19 | 4,359 | $44.28 | $193,016.52 |
| 2025-12-18 | 8,071 | $44.22 | $356,899.62 |
| 2025-12-16 | 4,329 | $43.87 | $189,913.23 |
| 2025-12-03 | 80,486 | $45.00 | $3.6M |
| 2025-12-02 | 85,513 | $45.69 | $3.9M |
| 2025-12-01 | 235,597 | $47.12 | $11.1M |
| 2025-11-26 | 67,091 | $45.78 | $3.1M |
| 2025-11-25 | 16,692 | $46.23 | $771,671.16 |
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 | |
| FE | 0.783 | 0.786 | High co-movement |
| AEE | 0.772 | 0.771 | High co-movement |
| DUK | 0.764 | 0.691 | High co-movement |
| PPL | 0.742 | 0.740 | High co-movement |
| AEP | 0.732 | 0.648 | High co-movement |
| LNT | 0.730 | 0.755 | High co-movement |
| WEC | 0.724 | 0.643 | High co-movement |
| SO | 0.721 | 0.638 | High co-movement |
| EVRG | 0.720 | 0.728 | High co-movement |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare EXC 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.