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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Financials · ·
$127.51
▲ $2.98 (+2.4%)
Market data updated: 09/17 03:46 PM
Fundamentals updated: 09/16/2026
News analyzed: 09/17/2026
Market Cap
$75.30B
Day Range
$126.17 - $128.71
52-Week Range
$99.56 - $153.29
Beta
—
Next Earnings
02.11.2026
APO is a stock from the Financials sector — Banks, insurance, and asset management — profitability sensitive to interest rates and credit cycles.
-8.2% (1Y)
Strengths: 1/24 factors positiveRisk: High
This score and all analysis on this page are for informational and educational purposes only and do not constitute investment advice. Read the full disclaimer
Weighted: Technical 25% · Fundamental 20% · Growth 15% · Valuation 15% · News 10% · Quality 10% · Risk 5%
Overall Score
🔴 Bearish
Technical Trend
🔴 Bearish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Revenue growth (last year)
Revenue growth (last year): 22.7%
Growth
Biggest negative driver
Calmar Ratio (return vs. drawdown)
Calmar: 0.25 (3y annualized return 10.8% / max drawdown 43.8%)
Risk
What to watch next
When today echoes the past.
87/100
Similarity
15
Historical Matches
91/100
Analog Quality
+2.0%
Median 40D Outcome
52/100
Pattern Consistency
🟢 Bullish
40%
+5.2% … +9.0%
🟡 Base
7%
+0.9% … +0.9%
🔴 Bearish
53%
-13.4% … -4.2%
📌 Bottom line: Out of 15 similar historical cases for this stock, 40% (95% CI 20%–64%) saw the stock rise within 20 trading days, with a median gain of -1.9%.
Echo #1 — Oversold Reversal
1 occurrence(s) · 0% historical success
Historical outcome rate is not a probability — it's what happened in this specific historical sample, with a 95% confidence range.
| Horizon | Positive rate (95% CI) | Median | 25th–75th pct | Baseline median |
|---|---|---|---|---|
| 5D | 40% (20%–64%) | -1.1% | -3.3% … +1.7% | +0.5% |
| 10D | 60% (36%–80%) | +1.3% | -3.8% … +3.6% | +1.0% |
| 20D | 40% (20%–64%) | -1.9% | -7.2% … +5.8% | +1.8% |
| 40D | 53% (30%–75%) | +2.0% | -12.9% … +11.3% | +4.3% |
| 60D | 53% (30%–75%) | +4.0% | -7.0% … +14.7% | +5.6% |
Sample size: 15 analogs, each at least 10 trading days apart (no double-counted overlapping events).
What happened after each historical match (20-day return)
| Date | Similarity | Regime | 20D outcome | 60D outcome |
|---|---|---|---|---|
| 2019-06-04 | 87/100 | Consolidation | +15.6% | +20.2% |
| 2021-03-05 | 85/100 | Consolidation | -3.8% | +14.3% |
| 2021-08-24 | 84/100 | Consolidation | +3.0% | +30.8% |
| 2017-11-09 | 83/100 | Consolidation | +4.6% | +10.7% |
| 2025-08-14 | 83/100 | Consolidation | -1.9% | -5.9% |
| 2026-06-01 | 83/100 | Consolidation | -7.7% | +4.3% |
| 2021-07-22 | 82/100 | Consolidation | -4.3% | +15.2% |
| 2025-06-02 | 81/100 | Consolidation | +8.5% | +4.0% |
| 2020-08-19 | 81/100 | Consolidation | -6.8% | -10.2% |
| 2026-01-14 | 81/100 | Uptrend | -13.0% | -23.7% |
| 2021-01-13 | 80/100 | Uptrend | +7.1% | +0.9% |
| 2025-02-14 | 80/100 | Consolidation | -14.8% | -10.9% |
| 2025-08-28 | 79/100 | Downtrend | +0.9% | -4.7% |
| 2023-05-02 | 79/100 | Consolidation | +9.1% | +33.5% |
| 2026-01-30 | 77/100 | Consolidation | -20.9% | -8.2% |
Every accepted match is compared to today across 6 domains (price structure, momentum, technical, volatility, volume, relative strength) using z-scored feature distances — no single indicator dominates. Matches within 10 trading days of each other count as one event, not independent evidence. Outcome rates use a Wilson confidence interval (never a raw percentage alone), the mean return is winsorized against extreme outliers, and "Analog Quality" separately captures sample size, data completeness, and regime match — distinct from raw similarity. Relative strength is measured against SPY and against XLF (this stock's sector).
Cross-stock analogs — real other companies, not this stock's own history.
TIME ECHO identifies historical situations that resemble the current market state. Historical outcomes are not guarantees of future performance. Similarity does not imply causation, and results may change as new data becomes available.
🗓️ What Changed This Week
🌱 Building History
We don't have a real data point from a week ago for this stock yet. The weekly comparison will appear once enough history has accumulated.
📊 Score History
42
Today
60
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
15d ago · $131.88
Evidence: Narrative Gap moved from 22 to -4 day-over-day
What happened after
26d ago · $132.69
Evidence: 6 bullish / 2 bearish technical signals agreeing
What happened after
28d ago · $135.17
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
28d ago · $135.17
Evidence: 8 bullish / 2 bearish technical signals agreeing
What happened after
29d ago · $133.60
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
29d ago · $133.60
Evidence: 8 bullish / 2 bearish technical signals agreeing
What happened after
🐂🐻 Investment Thesis
🐂 Bull Case
🐻 Bear Case
🔍 What Could Prove This Wrong
This isn't a price-direction forecast — just a synthesis of real, already-computed data, and future conditions that could change the picture.
🕰️ StockIQ Time Machine
What did StockIQ know — and when? Pick a date from the real accumulated history.
As of August 18, 2026
Then
60
$133.78
Now
42
$127.51
What happened since
Signals detected by this date
No signals detected by this date
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
46
Quality
50
Value
50
Momentum
16
Risk
42
Sentiment
56
Fundamental
53
Institutional
0
Stocks with a similar DNA right now
SCANNING APO...
Recent media coverage on **Apollo Global Management** is limited, as none of the provided sources directly mention the company. The headlines instead focus on broader financial and industry trends—such as private equity investments (e.g., KKR’s $2B garage door company bet), AI’s labor impact, mental health initiatives in workplaces, and market movements (e.g., S&P 500 activity). Without explicit Apollo-related details, no specific themes or events can be summarized.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Apollo Global Management. News trend score: 56. Reason: 8 of the last 20 articles are positive, versus 7 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
11
🎯 Conviction (vs. Emotion)
38
Psychology
19
Fundamentals
53
Technical
16
Valuation
50
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
Extreme momentum, price far above its moving average, and a large premium over fair value.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
-7%
Market Narrative
39
Fundamental Reality
38
Narrative Gap
+1
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market’s dominant **herding** behavior suggests investors are aligning with peers rather than acting on independent signals. The identical -1.4% move for APO and its peers today reflects a collective response, possibly to broader sector or macro factors. Low FOMO/Euphoria scores imply no urgency or overconfidence, while neutral volatility and sentiment rule out panic or euphoria. The key question is whether this synchronization stems from shared catalysts or mere inertia—without external triggers, the herd may lack a clear direction. The narrative-reality gap (6 points) hints at potential misalignment, but no immediate behavioral shift is evident.
Updated: 09/09/2026, 03:13 AM
What could change this?
👥 What the crowd believes
"Leon Black, the co-founder of Apollo Global Management, didn't show up before the House Oversight Committee to answer questions regarding his ties to Jeffrey Epstein."
📈 16D Investor Psychology
Signal classification confidence: High (confidence in the behavioral read, not a price prediction). Describes observable market behavior, not what any individual investor thinks, and is not a buy/sell signal.
🏛️ Investor DNA — Historical Investors
A Historical Strategy Simulation: assuming each investor follows their documented principles, how would they rate this stock today? This is not a prediction of what they would actually do.
🟢 Best match
Charles Mackay — 96/100
🔴 Weakest match
Benjamin Graham (Enterprising Investor) — 0/100
🗣️ Why do they disagree?
This stock sparks a sharp divide among methodologies, with some legendary investors seeing strong potential while others dismiss it outright. Edgar Lawrence Smith and Charles Mackay both rate it highly—Smith’s ‘buy and hold for a decade’ verdict and Mackay’s lack of crowd-mania signals suggest a rare, undervalued opportunity with steady fundamentals. However, Fisher and Marks, despite acknowledging moderate merit, still fall short of their thresholds for exceptional quality or risk-adjusted pricing. Meanwhile, Graham’s strict valuation rules and Veblen’s critique of speculative growth trends slam the door shut entirely, while efficient-market theorists and Schwager’s disciplined wizards see no clear edge over passive strategies or trend-following. The contrast between Smith’s long-term optimism and Graham’s outright rejection highlights how the same stock can be either a ‘decades-long hold’ or a ‘statistical failure’ depending on whether you prioritize patience, defensive metrics, or disciplined valuation.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 96
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 90
Looks like a real 'buy and hold for a decade' candidate
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 82
Cycle position looks favorable — closer to oversold than overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🟢 71
Not enough balance-sheet data for a real Bagehot read
Key question
Does this company have enough liquidity to survive real stress?
⚠️ Partial data for this stock — score is less reliable — Data availability: 25%
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟢 66
Risk appears reasonably priced — no obvious cycle-timing red flag
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 66
Looks early-to-mid cycle, not overextended
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 65
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
⚠️ Partial data for this stock — score is less reliable — Data availability: 35%
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 46
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 44
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 43
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 31
Weak case — Malkiel/Bogle would say a low-cost index is the simpler bet
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 24
Negative trend — against Livermore's core rule of trading with the trend
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🔴 24
No real setup here — the discipline Schwager's wizards shared would say stay out
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 23
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 20
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 0
Not statistically cheap enough for the Enterprising Investor's looser safety bar
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Based on the last 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 9 bearish · 2 neutral)
A market-structure read based purely on real price and volume data — not full classic Wyckoff schematic identification (Phase A-E), but a quantitative analysis of what can reliably be computed: trading ranges, "effort vs. result", volume within the range, and Spring/Upthrust detection.
The stock is in a clear uptrend with no defined trading range in the period examined.
Medium confidence
The Wyckoff Method, developed by Richard Wyckoff in the early 20th century, reads the balance of supply and demand through price and volume, based on the premise that large investors ("smart money") quietly accumulate shares before rallies and quietly distribute them before declines. The read here is based solely on real price and volume data — full, precise identification of classic Wyckoff patterns (such as Phases A-E) requires human chart-reading experience and judgment, so this is an approximate algorithmic read, not a substitute for professional analysis. This should not be considered investment advice.
Gross Margin
—
Operating Margin
—
Net Margin
10.9%
EBITDA Margin
—
ROE
15.0%
ROA
0.8%
ROIC
—
EPS
$5.58
Cash
$20.59B
Total Debt
$13.36B
Current Ratio
—
Debt/Equity
0.57
אין נתונים היסטוריים זמינים.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 19.8.2026 | $0.563 |
| 19.5.2026 | $0.563 |
| 18.5.2026 | $0.563 |
| 19.2.2026 | $0.510 |
| 18.2.2026 | $0.510 |
| 17.11.2025 | $0.510 |
| 16.11.2025 | $0.510 |
| 18.8.2025 | $0.510 |
| 17.8.2025 | $0.510 |
| 16.5.2025 | $0.510 |
| 15.5.2025 | $0.510 |
| 18.2.2025 | $0.463 |
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$39.32
Tangible Book Value per Share (Tangible NAV)
$29.35
Sentiment based on basic keywords (not AI) — 8 positive, 5 neutral, 7 negative out of the last 20 articles.
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Benzinga · 17.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Benzinga · 16.9.2026
SeekingAlpha · 16.9.2026
Benzinga · 16.9.2026
CNBC · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Benzinga · 15.9.2026
Yahoo · 15.9.2026
Yahoo · 15.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 15.9.2026
Apollo Global Management (APO) currently has a StockIQ AI score of 42/100, rated "Weak". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
APO currently scores 42/100 (Weak) across the categories we measure. StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
APO's technical score is 16/100, which currently reads as bearish — based on real price/volume signals (moving averages, RSI, MACD, and more), not a prediction of what happens next.
Based on the real signals StockIQ computed: Revenue growth (last year): 22.7%.
Based on the real signals StockIQ computed: Calmar: 0.25 (3y annualized return 10.8% / max drawdown 43.8%); Earnings per share (EPS) growth: -24.4%; Net income growth: -23.7%.
Yes — APO has a real recorded dividend payment history on StockIQ. See the Dividends section on this page for the actual per-share amounts and dates.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 1 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Kelly Martin | Gift | 14.8.2026 | 1,534 | -1,534 | — |
| Kelly Martin | Open Market Sale | 14.8.2026 | 3,000 | -3,000 | $140.85 |
| BLACK LEON D | Other Transaction | 7.8.2026 | 1 | +1 | — |
| LDB 2014 LLC | Other Transaction | 29.7.2026 | 3,647,120 | -3,000,000 | — |
| LDB 2014 LLC | Other Transaction | 29.7.2026 | 3,000,000 | -3,000,000 | — |
| Leach Brian | Grant/Award from Employer | 1.7.2026 | 1,589 | +1,589 | — |
| COHN GARY D | Grant/Award from Employer | 1.7.2026 | 1,986 | +1,986 | — |
| BIBLIOWICZ JESSICA M | Grant/Award from Employer | 1.7.2026 | 1,589 | +1,589 | — |
| BEILINSON MARC A | Grant/Award from Employer | 1.7.2026 | 1,589 | +1,589 | — |
| SWANN LYNN C | Grant/Award from Employer | 1.7.2026 | 1,589 | +1,589 | — |
| O'Neill Mitra | Grant/Award from Employer | 1.7.2026 | 1,589 | +1,589 | — |
| Healey Kerry Murphy | Grant/Award from Employer | 1.7.2026 | 1,589 | +1,589 | — |
| JOYNER PAMELA J | Grant/Award from Employer | 1.7.2026 | 1,589 | +1,589 | — |
| Toomey Patrick | Grant/Award from Employer | 1.7.2026 | 1,589 | +1,589 | — |
| BIBLIOWICZ JESSICA M | Grant/Award from Employer | 1.7.2026 | 17,635 | +1,589 | — |
| SWANN LYNN C | Grant/Award from Employer | 1.7.2026 | 20,051 | +1,589 | — |
| BEILINSON MARC A | Grant/Award from Employer | 1.7.2026 | 115,296 | +1,589 | — |
| JOYNER PAMELA J | Grant/Award from Employer | 1.7.2026 | 16,524 | +1,589 | — |
| COHN GARY D | Grant/Award from Employer | 1.7.2026 | 7,139 | +1,986 | — |
| Leach Brian | Grant/Award from Employer | 1.7.2026 | 43,505 | +1,589 | — |
| O'Neill Mitra | Grant/Award from Employer | 1.7.2026 | 33,704 | +1,589 | — |
| Healey Kerry Murphy | Grant/Award from Employer | 1.7.2026 | 22,294 | +1,589 | — |
| Toomey Patrick | Grant/Award from Employer | 1.7.2026 | 11,380 | +1,589 | — |
| Kelly Martin | Gift | 9.6.2026 | 1,300 | -1,300 | — |
| Kelly Martin | Gift | 9.6.2026 | 399,767 | -1,300 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
23,497,787 shares short as of 2026-08-31 · vs. 23,431,793 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
59.5% of trading volume this week was short selling, vs. 62.5% the prior week
Based on daily short-sale volume (Reg SHO) — a different metric from the open short interest above: this is daily trading volume, not an open position, so it updates weekly rather than biweekly.
Full breakdown of every data type and its source: Data Sources · Methodology