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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$108.53
▲ $0.32 (+0.3%)
Market data updated: 09/21 09:26 AM
Fundamentals updated: 09/21/2026
News analyzed: 09/21/2026
Market Cap
$4.17B
Day Range
$106.68 - $108.62
52-Week Range
$53.83 - $114.53
Beta
—
Next Earnings
21.10.2026
Support
$94.84
Resistance
$114.53
BFH is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
+69.4% (1Y)
Strengths: 13/23 factors positiveRisk: Medium
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
🟡 Mixed
Technical Trend
🟢 Bullish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Earnings per share (EPS) growth
Earnings per share (EPS) growth: 98.4%
Growth
Biggest negative driver
Return on assets (ROA)
Return on assets (ROA): 2.3% — weak
Fundamental
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 2 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 2
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
68
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
today · $108.53
Evidence: FOMO score jumped from 8 to 35 day-over-day
What happened after
Still awaiting outcome
🐂🐻 Investment Thesis
🐂 Bull Case
🐻 Bear Case
🔍 What Could Prove This Wrong
Not enough data yet to generate this synthesis.
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 September 21, 2026
Then
68
$108.53
Now
68
$108.53
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
66
Quality
50
Value
55
Momentum
90
Risk
50
Sentiment
100
Fundamental
51
Institutional
0
Stocks with a similar DNA right now
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Everyone's writing about Bread Financial Holdings, Inc.. News trend score: 100. Reason: 13 of the last 20 articles are positive, versus 1 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
36
🎯 Conviction (vs. Emotion)
50
Psychology
45
Fundamentals
51
Technical
90
Valuation
55
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
The price rise has far outpaced the actual improvement in fundamental data.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price (3M)
+6%
Market Narrative
72
Fundamental Reality
50
Narrative Gap
+22
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 Market Brain events driving this
📈 3D 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
Peter Lynch — 88/100
🔴 Weakest match
Morgan Housel — 14/100
Peter Lynch
One Up on Wall Street (1989)
🟢 88
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 66
Mixed — doesn't clearly pass Graham's tests
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 59
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 50
Not enough fundamentals data for a real Fisher read
Key question
How exceptional is this business, really?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 50
Reasonable but not a clear long-term holding
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 49
Some discount, but not the deep 'net-net' bargain Graham's enterprising bar sets
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 44
Mixed case — the evidence for picking this stock over an index is not strong
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 44
Pattern consistent with a crowd delusion Mackay would flag
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 37
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 34
Risk profile Loeb would flag as a real threat to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🔴 31
Risk/valuation combination Marks would flag as a caution sign
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 31
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🔴 29
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 24
Looks late-cycle — the position Marks would treat with extra caution
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🔴 16
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
Morgan Housel
The Psychology of Money (2020)
🔴 14
The kind of volatility that tends to shake patient holders out
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Based on the last 281 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (10 bullish · 0 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
—
EBITDA Margin
—
ROE
15.6%
ROA
2.3%
ROIC
—
EPS
$11.07
Cash
$3.60B
Total Debt
$4.31B
Current Ratio
—
Debt/Equity
1.29
אין נתונים היסטוריים זמינים.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 31.8.2026 | $0.230 |
| 29.5.2026 | $0.230 |
| 28.5.2026 | $0.230 |
| 27.2.2026 | $0.230 |
| 26.2.2026 | $0.230 |
| 7.11.2025 | $0.230 |
| 6.11.2025 | $0.230 |
| 8.8.2025 | $0.210 |
| 7.8.2025 | $0.210 |
| 9.5.2025 | $0.210 |
| 8.5.2025 | $0.210 |
| 14.2.2025 | $0.210 |
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$69.89
Tangible Book Value per Share (Tangible NAV)
$54.85
Sentiment based on basic keywords (not AI) — 13 positive, 6 neutral, 1 negative out of the last 20 articles.
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Bread Financial Holdings, Inc. (BFH) currently has a StockIQ AI score of 68/100, rated "Moderate". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
BFH currently scores 68/100 (Moderate) 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.
BFH's technical score is 90/100, which currently reads as bullish — 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: Earnings per share (EPS) growth: 98.4%; Net income growth: 87.0%; Price is above the 50-day average.
Based on the real signals StockIQ computed: Return on assets (ROA): 2.3% — weak.
Yes — BFH 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 7 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Lakhwara Praniti | Open Market Sale | 28.7.2026 | 2,802 | -2,802 | $106.12 |
| Lakhwara Praniti | Open Market Sale | 28.7.2026 | 4,458 | -2,802 | $106.12 |
| Gerspach John C | Grant/Award from Employer | 15.7.2026 | 730 | +730 | — |
| Gerspach John C | Grant/Award from Employer | 15.7.2026 | 49,574 | +730 | — |
| TURNEY SHAREN J | Grant/Award from Employer | 15.6.2026 | 1,638 | +1,638 | — |
| St Clair Joyce | Grant/Award from Employer | 15.6.2026 | 1,638 | +1,638 | — |
| Tucker Laurie Anne | Grant/Award from Employer | 15.6.2026 | 1,638 | +1,638 | — |
| THERIAULT TIMOTHY J | Grant/Award from Employer | 15.6.2026 | 1,638 | +1,638 | — |
| Fawcett John J. | Grant/Award from Employer | 15.6.2026 | 1,638 | +1,638 | — |
| Gerspach John C | Grant/Award from Employer | 15.6.2026 | 1,638 | +1,638 | — |
| Lakhwara Praniti | Grant/Award from Employer | 15.6.2026 | 1,638 | +1,638 | — |
| Natarajan Rajesh | Grant/Award from Employer | 15.6.2026 | 1,638 | +1,638 | — |
| THERIAULT TIMOTHY J | Grant/Award from Employer | 15.6.2026 | 27,384 | +1,638 | — |
| Gerspach John C | Grant/Award from Employer | 15.6.2026 | 48,844 | +1,638 | — |
| TURNEY SHAREN J | Grant/Award from Employer | 15.6.2026 | 23,174 | +1,638 | — |
| Tucker Laurie Anne | Grant/Award from Employer | 15.6.2026 | 35,459 | +1,638 | — |
| St Clair Joyce | Grant/Award from Employer | 15.6.2026 | 11,307 | +1,638 | — |
| Fawcett John J. | Grant/Award from Employer | 15.6.2026 | 12,638 | +1,638 | — |
| Natarajan Rajesh | Grant/Award from Employer | 15.6.2026 | 21,442 | +1,638 | — |
| Lakhwara Praniti | Grant/Award from Employer | 15.6.2026 | 7,260 | +1,638 | — |
| Andretta Ralph J | Open Market Sale | 29.5.2026 | 1,000 | -1,000 | $89.57 |
| Andretta Ralph J | Open Market Sale | 29.5.2026 | 12,500 | -12,500 | $89.17 |
| Andretta Ralph J | Open Market Sale | 29.5.2026 | 1,500 | -1,500 | $88.23 |
| Andretta Ralph J | Open Market Sale | 29.5.2026 | 595,741 | -1,500 | $88.23 |
| Andretta Ralph J | Open Market Sale | 29.5.2026 | 583,241 | -12,500 | $89.17 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
3,092,605 shares short as of 2026-08-31 · vs. 2,758,377 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
80.5% of trading volume this week was short selling, vs. 76.0% 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