The AES Corporation (AES)
Quantitative Summary
DeterministicAt 10.7x earnings — a 56% discount to the sector average of 24.4x — AES is in the lower valuation range. Financial 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 AES Corporation present a significant capital efficiency challenge, characterized by an ROIC-WACC spread of -3.1%, indicating that the company is currently destroying value relative to its cost of capital. While the DuPont decomposition reveals how management leverages equity multipliers at 5.69x to sustain a reported ROE of 10.0% through net margins of 7.4% and asset turnover of just 0.24x, this leverage-driven return masks underlying operational stagnation evidenced by flat revenue growth of -0.4%. Risk assessment metrics further highlight structural fragility; the Altman Z-Score of 0.4 signals a high probability of financial distress, while the low Piotroski F-Score of 4/9 suggests deteriorating fundamentals compared to historical strength, despite a clean Beneish M-Score of -2.74 that points away from earnings manipulation.
Valuation metrics currently reflect a substantial discount relative to broader utility sector norms, with a P/E ratio of 10.7x trading well below the industry average of 24.5x. This divergence suggests the market is pricing in significant downside risks rather than growth potential, as implied by the negative ROIC spread and lack of insider flow activity over the last ninety days which remains neutral at zero dollars. The current multiple implies that investors are compensating for the high cost of capital and low operational efficiency with a steep equity risk premium, effectively treating the stock as deep value only if there is an imminent catalyst to reverse the negative return on invested capital trend.
The convergence of a distressed Altman Z-Score and a sub-par Piotroski score creates a scenario where downside protection may be limited despite the attractive valuation multiple. Without evidence of improved asset turnover or margin expansion, the current pricing appears to fully account for the company's inability to generate returns above its weighted average cost of capital, leaving little room for upside based on traditional fundamental improvement models.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Valuation Context
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
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
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.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like SPYD or XLU, the fund manager is mechanically forced to buy or sell AES shares regardless of The AES Corporation's individual fundamentals. We estimate $1.6B of passive capital is structurally linked to AES 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 The AES Corporation to visualize passive redemption contagion across ETFs and collateral stocks.
If The AES Corporation (AES) 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 AES. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 22 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
AES Ownership Dynamics
ETFs with Highest AES Exposure
Float lock-up computed from 22 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
AES Capital Efficiency
How efficiently does The AES Corporation convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
The AES Corporation converts -55% 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 155% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-3.3%), 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 | 24,564 | $14.43 | $354,458.52 |
| 2026-05-06 | 4,124 | $14.37 | $59,261.88 |
| 2026-05-05 | 808 | $14.28 | $11,538.24 |
| 2026-05-04 | 2 | $14.28 | $28.56 |
| 2026-04-27 | 637 | $14.49 | $9,230.13 |
| 2026-04-15 | 6 | $14.40 | $86.4 |
| 2026-04-06 | 922 | $14.30 | $13,184.6 |
| 2026-03-31 | 44,642 | $14.02 | $625,880.84 |
| 2026-03-30 | 45,541 | $14.00 | $637,574 |
| 2026-03-25 | 2,071 | $14.13 | $29,263.23 |
| 2026-03-20 | 89 | $14.15 | $1,259.35 |
| 2026-03-18 | 400 | $14.20 | $5,680 |
| 2026-03-13 | 1,580 | $14.22 | $22,467.6 |
| 2026-03-11 | 64 | $14.21 | $909.44 |
| 2026-03-02 | 2,300 | $17.28 | $39,744 |
| 2026-02-23 | 588,896 | $16.51 | $9.7M |
| 2026-02-18 | 1,041 | $16.39 | $17,061.99 |
| 2026-02-17 | 1,046 | $16.28 | $17,028.88 |
| 2026-02-13 | 69 | $16.20 | $1,117.8 |
| 2026-02-09 | 1,825 | $16.05 | $29,291.25 |
| 2026-01-20 | 3,570 | $14.19 | $50,658.3 |
| 2025-12-29 | 2,079 | $14.07 | $29,251.53 |
| 2025-12-08 | 540 | $13.92 | $7,516.8 |
| 2025-11-24 | 740 | $13.75 | $10,175 |
| 2025-11-07 | 113 | $14.19 | $1,603.47 |
| 2025-11-06 | 37 | $14.22 | $526.14 |
| 2025-10-31 | 122,539 | $14.02 | $1.7M |
| 2025-10-24 | 837 | $14.20 | $11,885.4 |
| 2025-10-16 | 10,839 | $14.75 | $159,875.25 |
| 2025-10-14 | 26,452 | $14.44 | $381,966.88 |
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.
Compare AES to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: N/A.
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.