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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Staples · ·
$115.58
▼ $3.73 (-3.1%)
Market data updated: 09/19 05:55 PM
Fundamentals updated: 09/19/2026
News analyzed: 09/19/2026
Market Cap
$22.42B
Day Range
$114.82 - $119.46
52-Week Range
$76.01 - $134.87
Beta
—
Next Earnings
03.11.2026
Support
$102.81
Resistance
$127.47
BG is a stock from the Consumer Defensive sector — Food, beverages, and household products — steady demand even in a recession, since these are essential consumer goods.
+44.7% (1Y)
Strengths: 5/28 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
🔴 Bearish
Insiders
🟢 Bullish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Revenue growth (last year)
Revenue growth (last year): 32.4%
Growth
Biggest negative driver
DCF Fair Value
Estimated fair value: -$139.25 vs. price $115.58 (-220.5%)
Fair Value
What to watch next
When today echoes the past.
81/100
Similarity
15
Historical Matches
90/100
Analog Quality
+0.8%
Median 40D Outcome
58/100
Pattern Consistency
🟢 Bullish
40%
+1.6% … +11.3%
🟡 Base
13%
-0.0% … +0.3%
🔴 Bearish
47%
-8.7% … -2.9%
Typical timeframe (based on real historical rates clearing a 60% bar): 60 trading days.
📌 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 -0.2%.
Echo #1 — Momentum Breakout
7 occurrence(s) · 43% 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 | 33% (15%–58%) | +0.2% | -1.5% … +2.5% | +0.2% |
| 10D | 60% (36%–80%) | +2.4% | -2.8% … +3.4% | +0.3% |
| 20D | 40% (20%–64%) | -0.2% | -3.4% … +1.9% | +0.3% |
| 40D | 47% (25%–70%) | +0.8% | -9.1% … +11.0% | +0.4% |
| 60D | 40% (20%–64%) | -3.2% | -9.3% … +11.7% | +0.4% |
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 |
|---|---|---|---|---|
| 2023-06-21 | 81/100 | Consolidation | +15.0% | +22.4% |
| 2022-06-09 | 78/100 | Consolidation | -20.9% | -14.6% |
| 2018-04-24 | 77/100 | ✓ Consolidation | -3.8% | -6.5% |
| 2018-02-21 | 76/100 | Uptrend | -2.8% | -5.9% |
| 2026-06-16 | 75/100 | Consolidation | -3.0% | +2.5% |
| 2022-04-29 | 75/100 | Consolidation | +1.4% | -19.1% |
| 2019-11-22 | 74/100 | Consolidation | +5.3% | -1.6% |
| 2022-05-19 | 73/100 | Consolidation | -11.6% | -9.8% |
| 2019-11-01 | 73/100 | Consolidation | -1.3% | -3.2% |
| 2021-09-22 | 73/100 | ✓ Consolidation | +13.3% | +14.2% |
| 2021-08-24 | 72/100 | Consolidation | +2.3% | +26.6% |
| 2023-12-06 | 71/100 | Consolidation | -5.9% | -12.3% |
| 2024-04-26 | 71/100 | ✓ Consolidation | +1.0% | +9.1% |
| 2026-05-15 | 70/100 | Consolidation | +0.4% | -8.7% |
| 2025-09-02 | 70/100 | Consolidation | -0.2% | +18.5% |
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 XLP (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
47
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
28d ago · $113.11
Evidence: 2 insider open-market buy(s) in the last 30 days
What happened after
28d ago · $113.11
Evidence: 5 bullish / 5 bearish technical signals agreeing
What happened after
30d ago · $114.00
Evidence: 2 insider open-market buy(s) in the last 30 days
What happened after
30d ago · $114.00
Evidence: המניה במגמת ירידה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
30d ago · $114.00
Evidence: 6 bullish / 4 bearish technical signals agreeing
What happened after
31d ago · $114.91
Evidence: 2 insider open-market buy(s) in the last 30 days
What happened after
31d ago · $114.91
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
31d ago · $114.91
Evidence: 7 bullish / 4 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
55
$114.43
Now
47
$115.58
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
40
Quality
50
Value
38
Momentum
38
Risk
48
Sentiment
92
Fundamental
45
Institutional
100
Stocks with a similar DNA right now
SCANNING BG...
Recent media coverage of Bunge Global has centered on two key developments: first, the company’s stock decline tied to broader industry challenges, including a historic U.S. cattle shortage and rising livestock costs that have squeezed profit margins across food producers; second, a positive announcement where Bunge agreed to sell two sugarcane mills in Brazil to COFCO International, aiming to streamline operations and optimize its asset base. The news reflects both operational adjustments and market pressures.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Bunge Global. News trend score: 92. Reason: 9 of the last 20 articles are positive, versus 2 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
19
🎯 Conviction (vs. Emotion)
39
Psychology
54
Fundamentals
45
Technical
38
Valuation
38
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.
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.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+3%
Market Narrative
56
Fundamental Reality
39
Narrative Gap
+17
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
Market behavior suggests a **FOMO-driven rally** with euphoric undertones, as positive momentum, volume, and sentiment dominate. The narrative-reality gap (29) hints at overestimation of upside potential, while overconfidence signals traders may ignore fundamentals. The key question: *Will momentum sustain despite modest RSI and neutral 200-day positioning?*
Updated: 09/09/2026, 12:47 AM
What could change this?
👥 What the crowd believes
"national cattle shortages... squeezed operating margins and prompted outlook cuts across the food production industry"
"Bunge announced an agreement to sell two of its Brazilian sugarcane mills to COFCO International"
📈 14D 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
Edgar Lawrence Smith — 87/100
🔴 Weakest match
Morgan Housel — 19/100
🗣️ Why do they disagree?
The stark divide in verdicts for this stock reflects deep methodological differences in risk tolerance, market timing, and valuation thresholds. Edgar Lawrence Smith’s near-perfect score suggests he’d see it as a long-term, high-conviction hold, while the majority of value-focused investors—like Benjamin Graham or Howard Marks—flag it as either overpriced or risky, with scores clustered in the mid-to-low 40s. Meanwhile, behavioral and cycle-sensitive strategists, such as Marks (Market Cycle) or Veblen, warn of late-stage speculative traits or overbought conditions, scoring it even lower. The contrast between Smith’s buy-and-hold optimism and the caution of Fisher, Schwager, or Housel highlights whether the stock’s potential lies in fundamentals (for Smith) or structural risks (for the latter group).
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 87
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)
🟢 73
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 72
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 50
Mixed — a good business, but expectations may already be high
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 48
Mixed — doesn't clearly pass Graham's tests
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 45
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?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 44
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)
🟡 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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 44
Somewhere in the middle of the cycle
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 42
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🟡 37
Liquidity position Bagehot would flag as a real risk
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 36
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 31
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 30
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
Jack Schwager
Market Wizards (1989)
🔴 26
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
Morgan Housel
The Psychology of Money (2020)
🔴 19
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 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (2 bullish · 6 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.
Low 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
4.8%
Operating Margin
—
Net Margin
1.2%
EBITDA Margin
—
ROE
5.1%
ROA
1.8%
ROIC
—
EPS
$4.95
Cash
$1.14B
Total Debt
$10.17B
Current Ratio
1.61
Debt/Equity
0.64
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 18.8.2026 | $0.720 |
| 22.5.2026 | $0.720 |
| 21.5.2026 | $0.720 |
| 17.2.2026 | $0.700 |
| 16.2.2026 | $0.700 |
| 17.11.2025 | $0.700 |
| 16.11.2025 | $0.700 |
| 19.8.2025 | $0.700 |
| 18.8.2025 | $0.700 |
| 19.5.2025 | $0.700 |
| 18.5.2025 | $0.700 |
| 18.2.2025 | $0.680 |
How is Fair Value calculated? →
Current Price
$115.58
Estimated Fair Value (DCF)
-$139.25
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-220.5%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
3.4%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 3.4% | $-908.83M | $-833.79M |
| 2 | 3.2% | $-937.65M | $-789.20M |
| 3 | 2.9% | $-965.28M | $-745.38M |
| 4 | 2.7% | $-991.57M | $-702.46M |
| 5 | 2.5% | $-1.02B | $-660.57M |
Base FCF (last actual year)
$-879.00M
Terminal Value
$-16.03B
Present Value of Terminal Value
$-10.42B
Enterprise Value
$-14.15B
Net Debt
$9.03B
Equity Value
$-23.18B
*The DCF model is an estimate based on assumptions — not a guaranteed forecast. You can change the assumptions to examine different scenarios.
Book Value per Share
$95.54
Tangible Book Value per Share (Tangible NAV)
$74.81
Sentiment based on basic keywords (not AI) — 9 positive, 9 neutral, 2 negative out of the last 20 articles.
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
MT Newswires · 10.9.2026
Benzinga · 10.9.2026
Benzinga · 10.9.2026
SeekingAlpha · 8.9.2026
ChartMill · 8.9.2026
SeekingAlpha · 8.9.2026
Yahoo · 4.9.2026
StockStory · 4.9.2026
ChartMill · 3.9.2026
ChartMill · 3.9.2026
Yahoo · 1.9.2026
MT Newswires · 1.9.2026
StockStory · 1.9.2026
MT Newswires · 1.9.2026
Benzinga · 1.9.2026
Yahoo · 1.9.2026
MT Newswires · 1.9.2026
Bunge Global (BG) currently has a StockIQ AI score of 47/100, 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.
BG currently scores 47/100 (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.
Per StockIQ's DCF model, BG's estimated fair value is -$139.25, which is 220.5% below the current price of $115.58. This is one valuation model among several signals in the fair-value category, not a price target.
BG's technical score is 38/100, 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): 32.4%; Current ratio: 1.61; Price is above the 200-day average.
Based on the real signals StockIQ computed: Estimated fair value: -$139.25 vs. price $115.58 (-220.5%); Calmar: 0.02 (3y annualized return 0.8% / max drawdown 39.7%); Earnings per share (EPS) growth: -38.5%.
Yes — BG 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 — 4 purchases and 0 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Browner Carol M. | Grant/Award from Employer | 1.9.2026 | 10 | +10 | $119.25 |
| Sears Kellie | Grant/Award from Employer | 1.9.2026 | 117 | +117 | $119.25 |
| WINSHIP HENRY WARD IV | Grant/Award from Employer | 1.9.2026 | 10 | +10 | $119.25 |
| Isman Adrian | Grant/Award from Employer | 1.9.2026 | 10 | +10 | $119.25 |
| Jojo Linda P | Grant/Award from Employer | 1.9.2026 | 10 | +10 | $119.25 |
| Simril Kenneth | Grant/Award from Employer | 1.9.2026 | 10 | +10 | $119.25 |
| Zenuk Mark N | Grant/Award from Employer | 1.9.2026 | 20 | +20 | $119.25 |
| Dimopoulos Christos | Grant/Award from Employer | 1.9.2026 | 160 | +160 | $119.25 |
| HECKMAN GREGORY A | Grant/Award from Employer | 1.9.2026 | 992 | +992 | $119.25 |
| Jensen Anne | Grant/Award from Employer | 1.9.2026 | 10 | +10 | $119.25 |
| Mahoney Christopher | Grant/Award from Employer | 1.9.2026 | 10 | +10 | $119.25 |
| McGurk Monica Houle | Grant/Award from Employer | 1.9.2026 | 10 | +10 | $119.25 |
| Simmons Jerry Matthews JR | Grant/Award from Employer | 1.9.2026 | 55 | +55 | $119.25 |
| Podwika Joseph | Grant/Award from Employer | 1.9.2026 | 139 | +139 | $119.25 |
| Lustosa de Andrade Eliane Aleixo | Grant/Award from Employer | 1.9.2026 | 10 | +10 | $119.25 |
| Mahoney Christopher | Open Market Purchase | 4.8.2026 | 1,500 | +1,500 | $107.60 |
| Mahoney Christopher | Open Market Purchase | 4.8.2026 | 14,820 | +1,500 | $107.60 |
| Mahoney Christopher | Open Market Purchase | 31.7.2026 | 5,000 | +5,000 | $105.53 |
| Mahoney Christopher | Open Market Purchase | 31.7.2026 | 13,320 | +5,000 | $105.53 |
| HECKMAN GREGORY A | Grant/Award from Employer | 1.6.2026 | 927 | +927 | $126.92 |
| WINSHIP HENRY WARD IV | Grant/Award from Employer | 1.6.2026 | 9 | +9 | $126.92 |
| Neppl John W | Grant/Award from Employer | 1.6.2026 | 237 | +237 | $126.92 |
| Jensen Anne | Grant/Award from Employer | 1.6.2026 | 9 | +9 | $126.92 |
| Podwika Joseph | Grant/Award from Employer | 1.6.2026 | 130 | +130 | $126.92 |
| Browner Carol M. | Grant/Award from Employer | 1.6.2026 | 9 | +9 | $126.92 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
6,697,437 shares short as of 2026-08-31 · vs. 5,844,405 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
57.2% of trading volume this week was short selling, vs. 52.6% 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