By Anton Ladnyi, CFA · ex-Goldman Sachs · ex-J.P. MorganPublished Updated
ORCL — at just 16-18x forward P/E ($130, down ~33% in a month to a 52-week low), a record $638B RPO backlog is offset by a July 9 S&P downgrade to BBB- (one notch above junk) on a forecast -$42B FY27 free cash flow deficit tied to $90-95B AI capex and ~50% OpenAI RPO concentration.
Quantitative model rating — not individualized investment advice.
How Is This Rating Calculated?
A.L. Capital Advisory Equity Composite model · calculated 2026-08-29. Four calculation steps, in order — steps 1, 2 and 4 are rules-based; step 3 is a disclosed qualitative analyst overlay mapped to a fixed numerical scale:
1. Margin of safety → quantitative grade
ORCL's margin of safety is +32.21% (base case $223 vs. price $150.85). Margin of safety here is defined as (fair value − price) / fair value — this is the formula the quant grade below is actually assigned from. It is not the same figure as the gauge's "Upside to Base" pill above, which uses (fair value − price) / price and will read a larger number for the same inputs. For comparison, the pure (unblended) DCF output alone implies a margin of safety of +4.36% (pure DCF base $158 vs. price $150.85) — the gap between this and the +32.21% blended figure above reflects the analyst-consensus blend.
Blended valuation margin-of-safety bands
Margin of safety
Quant grade
Score
MOS > 20.00%
Strong Buy
5.0
10.00% < MOS ≤ 20.00%
Buy
4.0
−10.00% < MOS ≤ 10.00%
Hold
3.0
−20.00% < MOS ≤ −10.00%
Reduce
2.0
MOS ≤ −20.00%
Avoid
1.0
2. Auto fundamental penalty
No fundamental red flags triggered · total: +0.0
Automatic fundamental-penalty rules
Rule
Threshold
Penalty
P/E extreme
Forward (or trailing) P/E > 80x
−1.0
P/E elevated
Forward (or trailing) P/E 50–80x
−0.5
Earnings deterioration, significant
Earnings growth < −20%
−1.0
Earnings deterioration, mild
Earnings growth −5% to −20%
−0.5
Stagnant top-line
Revenue growth < 3%
−0.5
Unsustainable dividend
Payout ratio > 120%
−0.5
Rules are cumulative (multiple can fire on the same ticker) and purely mechanical — no analyst judgment is involved in step 2.
3. Thesis conviction modifier
Analyst conviction: medium · modifier: +0.00. This is a qualitative analyst judgment on the written thesis, mapped to a fixed numeric modifier below — it is not algorithmically derived from a measurable indicator.
Analyst-conviction modifier scale
Conviction level
Modifier
Very High
+1.00
High
+0.60
Medium
+0.00
Low
-0.60
Very Low
-1.00
General guidance for the assigning analyst (not an algorithmic rule — conviction is assigned by editorial judgment on the written thesis, not computed): Very High/High — multiple thesis pillars confirmed by the most recent reported quarter, no unresolved red flags. Medium — mixed evidence, or a thesis not yet differentiated enough to lean either direction. Low/Very Low — one or more thesis pillars deteriorating, or a material data-quality concern. Assigned and reviewed each time the underlying thesis is updated (see the thesis "last updated" date on this page).
This is the exact formula the model runs — not a post-hoc explanation. Source: composite_grade.py, A.L. Capital Advisory Equity Composite.
ORCL Price Target & Rating
ORCL's quantitative grade is Hold, with significant tail risk (CVaR -45.4%), and quality metrics (net margin 25%, ROE 53%). Oracle Corporation (ORCL) trades at $150.85 with a Hold composite rating: a trailing P/E of 25.9x at a 19% discount to sector median, net margins of 25.4%, a blended fair-value range of $109–$358 suggesting a +32% margin of safety, beta 1.72 (highly aggressive risk profile).
What Is ORCL's DCF Intrinsic Value and Blended Fair Value Range?
ORCL's blended fair-value range is $109–$358 (base case $223), against a current price of $150.85.
ORCL blended fair-value gauge — bear case $109, base case $223, bull case $358, current price $150.85.
Price & DCF data as of
How Does ORCL's Margin of Safety Change as the Price Moves?
Drag to simulate ORCL's price moving between the blended bear ($109) and bull ($358) fair-value anchors — left for a price fall, right for a rise — and see how the margin of safety vs A.L. Capital Advisory's $223 blended base-case fair value changes. Starting point: the page's as-of price of $150.85 on 2026-08-29.
DCF Assumptions
Two-stage earnings-based DCF on forward EPS of $10.93 (Yahoo Finance forwardEps: provider-aggregated next-fiscal-year consensus estimate, not a fixed trailing-12-month window): explicit 5-year forecast at the stage-1 growth rate below, discounted at the CAPM cost of equity, plus a Gordon Growth terminal value at the terminal growth rate, also discounted at the CAPM cost of equity. This model discounts projected EPS — an equity-level metric — directly, not free cash flow, so the cost of equity is the theoretically correct discount rate; this is not a debt-weighted WACC (no cost of debt or capital-structure weighting is applied). Source: A.L. Capital Advisory DCF engine (api.py).
DCF assumptions by scenario
Input
Bear
Base
Bull
Stage-1 (near-term) growth
6.30%
14.00%
21.00%
Terminal growth
3.00%
3.00%
3.00%
CAPM cost of equity (discount rate)
15.07%
13.95%
12.83%
Forecast horizon
5 years
5 years
5 years
CAPM cost of equity = risk-free rate (4.50%, a 4.50% fallback default used because the live 10-year Treasury fetch was unavailable at page-generation time) + beta (1.72) × 5.5% equity risk premium, floored at 6% and capped at 18%. Stage-1 growth is a sector-level base rate (bear/bull apply 0.45x/1.50x multipliers); terminal growth is held constant across scenarios. Bear/bull cost of equity applies a ±8% relative adjustment to the base rate, clamped to the same 6–18% band.
The DCF output above is not the final intrinsic value shown elsewhere on this page. It is blended with the Wall Street analyst consensus price target to avoid extreme single-model divergence, weighted by analyst coverage depth (42 analysts covering this stock → 25.00% DCF / 75.00% consensus). The blended figure is the intrinsic value used for margin-of-safety and the composite rating.
DCF-to-intrinsic-value blend by scenario
Scenario
Pure DCF value
Analyst target used
Blended intrinsic value (displayed)
Bear
$106.11
$110.00
$109.03
Base
$157.72
$244.12
$222.52
Bull
$230.02
$400.00
$357.50
Blended value = (25.00% × pure DCF) + (75.00% × analyst target). Bear/bull scenarios blend against the analyst low/high target rather than the mean.
Analyst-coverage-to-consensus-weight tiers
Analyst coverage
Weight
0–1 analysts
0.00% consensus / 100.00% DCF
2–4 analysts
40.00% consensus / 60.00% DCF
5–19 analysts
65.00% consensus / 35.00% DCF
20+ analysts
75.00% consensus / 25.00% DCF
The consensus weight is a fixed step function of analyst coverage depth (above), not adjusted for target age, dispersion, or outliers — the mean/low/high analyst targets are used as reported by the data provider with no filtering.
Key Takeaways
Valuation: Hold grade — P/E 25.9x — blended fair-value range $109–$358 implies +32% margin of safety
Risk: CVaR -45.4% (95th percentile, 1-month) indicates significant tail exposure; beta of 1.72 amplifies broad market moves in both directions
Strengths: Quality 5.0/5, Size 4.5/5, 25% net margin, 53% ROE dominate the factor profile
Catalyst: Fiscal Q1 2027 earnings, expected mid-September 2026 — first quarter reflecting the new $90-95B FY2027 capex guide and post-downgrade cost of capital; also watch for any follow-on Moody's action given its separate negative outlook.
Bear catalyst: A second rating-agency downgrade pushes Oracle into speculative-grade (BB+) territory; OpenAI or another top RPO customer restructures, delays, or defaults on contracted capacity; the FY2027 FOCF deficit comes in worse than the -$42B S&P estimate, forcing a larger or more dilutive equity issuance than the planned $20B.
ORCL — Quantitative SnapshotAugust 2026
RatingHold
Price$150.85
Why HoldBalanced risk/reward — neither compellingly cheap nor expensive at current levels
Main riskSignificant tail risk — CVaR -45.4% on a one-month horizon
Tail riskCVaR -45.4% over one month at the 95th percentile
Blended fair-value range$109–$358 blended fair-value range; margin of safety +32%
Best useCore large-cap Technology holding — not a source of diversified sector exposure
Next watchEarnings delivery consistency and margin trajectory
How Does ORCL Score on the Five-Factor Quantitative Model?
ORCL's composite five-factor score is 3.7/5, led by Quality (5.0/5) and weakest on Volatility (2.0/5).
ORCL five-factor radar — Value 4.0, Quality 5.0, Momentum 3.0, Volatility 2.0, Size 4.5 (out of 5).
Value
4.0 / 5
Quality
5.0 / 5
Momentum
3.0 / 5
Volatility
2.0 / 5
Size
4.5 / 5
ORCL Five-Factor Quantitative Scores
Factor
Score
Value
4.0 / 5
Quality
5.0 / 5
Momentum
3.0 / 5
Volatility
2.0 / 5
Size
4.5 / 5
What Is ORCL's AI-Era Durability and Disruption Risk?
AI Disruption Risk: Moderate
Oracle's AI-era durability is now almost entirely an OCI backlog story: remaining performance obligations reached a record $638 billion at the end of fiscal Q4 2026 (up 363% year-over-year), driven by multibillion-dollar contracts with OpenAI, Meta, Nvidia, xAI, and AMD, with OCI revenue growing 93% year-over-year. The credibility seam is concentration and cash burn rather than demand: more than 50% of Oracle's RPO is estimated to come from a single customer, OpenAI (committed over $300 billion to Oracle infrastructure over five years), while Oracle posted negative free cash flow of $23.7 billion for fiscal 2026 funding the buildout, meaning the backlog's value depends on OpenAI's own funding durability. The trigger to watch is RPO-to-revenue conversion pace and any signal of OpenAI contract renegotiation or a second hyperscaler-scale customer diversifying the RPO base.
Key Metrics
ORCL Key Metrics — Oracle Corporation 2026
Metric
Value
Current Price
$150.85
P/E Ratio (TTM)
25.9x
Forward P/E
13.8x
PEG Ratio
0.63x
P/S Ratio
6.5
EV/EBITDA
19.0
Beta
1.72
Net Margin
25.4%
ROE
53.4%
Debt/Equity
388.9%
Dividend Yield
1.32%
CVaR (95%, 1M)
-45.4%
Market Cap
$434.5B
1-Month CVaR Methodology
The 1M CVaR-95 figure shown in Key Metrics, the peer comparison table and this page's hero card is computed as follows:
Lookback: most recent 1 year of daily prices.
Return input: daily log returns on dividend/split-adjusted close prices.
Confidence level: 95% (worst 5% of the resulting rolling-month observations).
Quantile convention: floor-based cutoff — the worst floor(N × 0.05) rolling-month observations (minimum 1), not a rounded or interpolated percentile.
CVaR: arithmetic mean of that worst-5% tail, expressed as a percentage.
Corporate actions: reflected via adjusted-close pricing (dividends and splits are accounted for).
1M CVaR-95 by lookback window
Method
1M CVaR-95
Trailing 1-year historical
-45.4%
Trailing 3-year historical
-35.4%
Trailing 5-year historical
-29.9%
The 1-year figure is what appears elsewhere on this page. Because it is built from overlapping 21-day windows over a single year, it reflects roughly the last ~11 non-independent tail events and is sensitive to the specific market regime of that year — treat it as a trailing-window historical estimate, not a structurally stable long-run risk parameter. The 3- and 5-year figures use the same methodology over longer, more regime-diverse histories.
This is a separate calculation from the 1-Day VaR/CVaR shown in the Tail Risk Profile chart below, which uses raw (non-overlapping) daily returns rather than rolling monthly sums — see that chart's own methodology note for the daily-horizon convention.
Tail Risk Profile
Historical Simulation · Daily Log Returns
ORCL — Daily Return Distribution
Oracle Corporation · 249 trading days · CVaR illustrated on real data
Sep 2025 – Aug 2026
Daily log returns
95%
-6.02%
1-Day VaR · 95%
95th-percentile loss threshold
-7.53%
1-Day CVaR · 95%
Avg loss in tail
12
Days in tail
of 249 sessions
249
Daily returns
Sep 2025 – Aug 2026
Historical VaR uses the nearest-rank convention: the worst observation within the tail (empirical (1−confidence) fraction of trading days). Historical CVaR is the arithmetic mean of all observations at or below that VaR threshold — so VaR is always included inside the CVaR tail, not one observation outside it.
Anton Ladnyi, CFA · A.L. Capital AdvisoryUpdated 2026-08-29
Rating Rationale
ORCL — at just 16-18x forward P/E ($130, down ~33% in a month to a 52-week low), a record $638B RPO backlog is offset by a July 9 S&P downgrade to BBB- (one notch above junk) on a forecast -$42B FY27 free cash flow deficit tied to $90-95B AI capex and ~50% OpenAI RPO concentration.
Investment Thesis
↑ Bull Case
$638B remaining performance obligations (record) — comparable to Microsoft's $678B commercial RPO despite Oracle trading at roughly half the forward multiple (16-18x vs. 29x) — underpins a Buy-consensus average price target of $264.64, about double the current price.
16-18x forward P/E is the cheapest multiple in large-cap cloud/AI infrastructure, reflecting a stock down 33-35% in the past month to a 52-week low near $124-132.
$5B mandatory convertible preferred (completed February 2026) plus a planned $20B equity issuance in 2026 give Oracle a funding path to preserve investment-grade status without further leaning on debt markets.
S&P's stable (not negative) outlook post-downgrade signals the agency doesn't see imminent further deterioration, even while flagging OpenAI concentration as the key swing risk.
↓ Bear Case
BBB- credit rating (cut from BBB on July 9, 2026, with short-term rating lowered to A-3) is now just one notch above speculative grade — a further cut would push Oracle into junk territory and raise borrowing costs materially.
$90-95B FY2027 capex guidance (up from S&P's prior $60B forecast) is driving a forecast free operating cash flow deficit widening to nearly $42B, from a prior -$24B estimate — a rapid deterioration in self-funding capacity.
~50% of the $638B RPO backlog is concentrated in OpenAI — if OpenAI faces financing difficulty or fails to fulfill contracted commitments, Oracle is left holding massive data-center lease obligations it may struggle to exit or re-lease profitably.
Mid-4x adjusted leverage forecast for FY2027 exceeds S&P's own 4x downgrade trigger, meaning the current BBB- rating already assumes continued equity-issuance execution — any slippage risks a second downgrade.
What Changes the Rating
↑Catalyst:OpenAI or another top-3 RPO customer signs incremental, disclosed contract commitments that reduce concentration risk; the free operating cash flow deficit narrows versus the -$42B forecast; S&P or Moody's affirms or improves its outlook rather than cutting further.
↓Model downgrade conditions:A second rating-agency downgrade pushes Oracle into speculative-grade (BB+) territory; OpenAI or another top RPO customer restructures, delays, or defaults on contracted capacity; the FY2027 FOCF deficit comes in worse than the -$42B S&P estimate, forcing a larger or more dilutive equity issuance than the planned $20B.
Anton’s personal note
Hold means what it says here — I am not selling, but I am not buying either. The risk/reward at current prices is roughly balanced, and roughly balanced is not enough reason to deploy fresh capital. The tail risk is the thing. A CVaR of -45.4% is not a number to dismiss — it means in bad months this position can move severely, and that has to be reflected in how much you size it, not just whether you own it at all. A pullback of 10–15% from here would open the margin of safety enough that I would want to add. An earnings miss at the current multiple would do the opposite — that would be the signal to reduce rather than wait.
— Anton Ladnyi, CFA
Earnings History
ORCL Earnings History — EPS Surprise Rate 2026
Quarter
EPS Est. (consensus)
EPS Actual (adjusted, consensus basis)
Surprise
Q2 2026
$1.96
$2.11
+7.5% ✓
Q1 2026
$1.69
$1.79
+5.7% ✓
Q4 2025
$1.64
$2.26
+38.0% ✓
Q3 2025
$1.48
$1.47
-0.6% ✗
EPS Actual is on the same adjusted/non-GAAP basis as the consensus estimate it is compared against (excludes one-time items, consistent with how Wall Street EPS estimates are typically constructed) — it will generally differ from the company's GAAP diluted EPS as reported in its official financial statements. Verify the GAAP figure against the issuer's original earnings release if that basis is what you need.
How Has ORCL Performed vs. Wall Street EPS Estimates?
ORCL has beaten consensus EPS estimates in 3 of the last 4 reported quarters (75%).
ORCL quarterly EPS — estimate vs. actual, 4 most recent reported quarters, 75% beat rate.
Earnings Projections
ORCL Forward EPS Consensus Estimates 2026
Quarter
EPS Est.
YoY EPS
Analysts
Q3 2026
$1.74
+18.4%
33
Q4 2026
$1.89
-16.4%
32
Q1 2027
~$2.32
+29.6%
42
Q2 2027
~$2.73
+29.4%
40
~ Estimated from annual consensus — not a direct analyst survey
What Are Wall Street's EPS Estimates for ORCL?
Wall Street's next-quarter consensus EPS estimate for ORCL is $1.74.
ORCL consensus EPS estimates, next quarter $1.74, 4 quarters shown.
ORCL — P/E 25.9x · Beta 1.72 • Composite rating: Hold • CVaR from one-year daily history · historical simulation
Editorial Analyst Scenarios
Revenue growth × exit multiple (editorial, not mechanically reproducible from disclosed inputs) · hover each scenario for detail · current price $150.85
▼
Bear Case
$85
-43.7%
Implied NTM P/E: 9.8x (target ÷ next-4Q consensus EPS — distinct from the exit multiple below, which is applied to a later-year EPS estimate)
8% revenue CAGR · 12x exit multiple
◆
Base Case
$165
+9.4%
Implied NTM P/E: 19.0x (target ÷ next-4Q consensus EPS — distinct from the exit multiple below, which is applied to a later-year EPS estimate)
16% revenue CAGR · 17x exit multiple
▲
Bull Case
$260
+72.4%
Implied NTM P/E: 30.0x (target ÷ next-4Q consensus EPS — distinct from the exit multiple below, which is applied to a later-year EPS estimate)
24% revenue CAGR · 24x exit multiple
How Correlated Is ORCL With Its Sector Peers?
0 of 10 peer pairs correlated above 0.60, indicating meaningful historical diversification across the selected names, although all remain exposed to common equity, sector and macro factors.
ORCL pairwise correlation heatmap across 5 peers — 0 of 10 pairs above 0.60.
0 of 10 peer pairs correlated above 0.60, indicating meaningful historical diversification across the selected names, although all remain exposed to common equity, sector and macro factors.
Extended Analysis — Buy, Hold or Sell? Risk Factors. Portfolio Fit.
Is ORCL a buy, hold, or sell?
ORCL carries a quantitative grade of Hold. At a trailing P/E of 25.9, the stock trades at a 19% discount to the Technology sector median of 32.0x. Our two-stage, EPS-based DCF model produces a pure model range of $106–$230. After blending with Street consensus targets, the displayed fair-value range is $109–$358 — implying a +32% margin of safety vs. blended base fair value at the current price of $150.85. The width of the range reflects genuine uncertainty in the terminal growth rate assumption: the correct framework is a probability-weighted distribution over scenarios, not a single point estimate. See the DCF valuation framework for full methodology.
The company has beaten estimates in 75% of the last 4 reported quarters. The most recent quarter delivered a 7.5% earnings surprise. Analyst estimate revisions are trending upward.
What are ORCL's key risk factors?
With a beta of 1.72, ORCL exhibits a highly aggressive risk profile relative to the broad market. The 95th-percentile CVaR of -45.4% on a one-month horizon should inform position sizing directly: at a 10% portfolio weight, this standalone tail outcome corresponds to approximately 4.5% of portfolio value before accounting for correlations with other holdings — not a marginal portfolio CVaR contribution, which depends on the full covariance structure. Net margins stand at 25.4%. Return on equity of 53.4% indicates highly efficient capital allocation. Debt-to-equity of 389% warrants monitoring for leverage risk.
Insiders have been net sellers to the tune of $1450.6M over the disclosed transactions from 2024-09-05 to 2026-06-24. While routine dispositions are common, the magnitude bears watching. Short interest is low at 2.8% of float, suggesting limited bearish conviction.
How does ORCL fit in a diversified portfolio?
At typical HENRY portfolio weights — 10–20% of the equity allocation — ORCL carries a beta of 1.72, meaning it amplifies broad market moves proportionally. The appropriate weight is not a function of conviction alone, but of the full covariance structure across all holdings. See the Ledoit-Wolf covariance framework for the methodology behind these calculations.
Among closely correlated names, ORCL shows the strongest co-movement with MSFT (0.39), GOOGL (0.20), SAP (0.18). Investors seeking diversification should note these correlation dynamics when constructing multi-asset portfolios.
True portfolio risk is a function of the full covariance structure across all holdings — not individual stock metrics. The Portfolio Health Check quantifies this at the portfolio level: it surfaces hidden concentration, marginal CVaR contributions, and the degree to which your overall allocation deviates from an optimal risk-adjusted mandate. The ORCL analysis here is a single node in that larger structure.
What is ORCL's AI-Era Durability & Disruption Risk Score?
Oracle's AI-era durability is now almost entirely an OCI backlog story: remaining performance obligations reached a record $638 billion at the end of fiscal Q4 2026 (up 363% year-over-year), driven by multibillion-dollar contracts with OpenAI, Meta, Nvidia, xAI, and AMD, with OCI revenue growing 93% year-over-year. The credibility seam is concentration and cash burn rather than demand: more than 50% of Oracle's RPO is estimated to come from a single customer, OpenAI (committed over $300 billion to Oracle infrastructure over five years), while Oracle posted negative free cash flow of $23.7 billion for fiscal 2026 funding the buildout, meaning the backlog's value depends on OpenAI's own funding durability. The trigger to watch is RPO-to-revenue conversion pace and any signal of OpenAI contract renegotiation or a second hyperscaler-scale customer diversifying the RPO base.
What is ORCL's intrinsic value and DCF price target?
A.L. Capital Advisory's model produces a blended fair-value range (25% pure DCF, 75% analyst consensus) of $109 (bear case) to $358 (bull case) for Oracle Corporation (ORCL). At $150.85, the margin of safety vs. blended base case is +32% (positive = discount to fair value; negative = premium). The bear-to-bull spread reflects genuine sensitivity to the two dominant DCF inputs: the terminal growth rate and the CAPM cost of equity (this model discounts EPS, an equity-level metric, so the cost of equity rather than a debt-weighted WACC is the applicable discount rate). Terminal value typically accounts for 60-80% of total intrinsic value in most equity DCF models, which is why a range is more analytically sound than a point estimate. The central analytical question is not what the DCF outputs as a single number but which growth trajectory the current market price already discounts. All DCF analysis follows CFA Institute standards and is conducted by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: DCF Valuation Framework →
Is ORCL a buy or sell in 2026?
Oracle Corporation (ORCL) carries a Hold quantitative rating from A.L. Capital Advisory, set by Discounted Cash Flow margin-of-safety band with no analyst-conviction overlay applied. Five-factor model scoring (Value, Quality, Momentum, Volatility, Size) and CVaR tail risk measurement are shown separately on the page. At $150.85, the margin of safety vs. blended base fair value is +32% (blended fair-value range: $109 bear – $358 bull). That places the current price in the Fair Range zone of A.L. Capital Advisory's DCF framework, which sets the quantitative grade component that determines this rating. Composite factor score: 3.7/5. Strongest factor: Quality (5.0/5). Weakest factor: Volatility (2.0/5). Trailing P/E: 25.9x. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: Rating Methodology (this page) →
What is the average analyst target price for ORCL?
Wall Street consensus target for ORCL: $244.12 (+61.8% upside from the current price of $150.85). The analyst target range spans $110.00 (most bearish) to $400.00 (most bullish). Consensus recommendation: Buy. Note that analyst price targets typically reflect a 12-month forward horizon and are derived from a blend of DCF, comparable-company, and sum-of-the-parts analysis. A.L. Capital Advisory's Hold composite rating is calculated from the blended margin-of-safety grade, applicable automatic fundamental penalties, and a disclosed qualitative analyst-conviction overlay — not from five-factor scores or CVaR, which are supporting diagnostics shown elsewhere on this page. The displayed blended fair value combines the standalone DCF output with Street consensus for well-covered names (see the DCF Assumptions box for the exact blend weight), so it does not track Street consensus mechanically, but it is not fully independent of it either. When the composite rating and the Street consensus recommendation diverge, the divergence itself is informative: it can reflect differences in time horizon, valuation methodology, or the degree to which the current price already discounts the consensus case. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: Data & Sources (this page) →
How does ORCL score on Value, Quality, Momentum, Volatility, and Size?
ORCL five-factor scores (A.L. Capital Advisory, 1–5 scale): Value 4.0/5 (above average) — measures the trailing P/E multiple versus the sector median (not the DCF or blended fair-value range, which are separate metrics on this page); Quality 5.0/5 (strong) — captures profitability metrics including return on equity (ROE: 53.4%) and net margin (25.4%) — sustained above-peer ROE and margins are the model's proxy for economic moat and pricing power; Momentum 3.0/5 (neutral) — reflects recent price trajectory and earnings surprise consistency; Volatility 2.0/5 (below average) — inverse measure derived from beta, where lower historical volatility earns a higher score; Size 4.5/5 (strong) — market capitalisation rank (mega-cap $1T+ scores 5/5). Composite: 3.7/5. Factor scores above 4.0 signal a tailwind in that dimension; below 2.0 signals a material headwind. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory.
What is ORCL's tail risk and CVaR?
The 95th-percentile Conditional Value at Risk (CVaR) for ORCL on a one-month horizon is -45.4%. CVaR represents the expected average loss in the worst 5% of monthly outcomes — a more conservative tail risk measure than standard VaR, which only marks the loss threshold. Beta of 1.72 indicates above-market systematic sensitivity with amplified drawdown exposure — beta measures historical sensitivity to market moves, not total volatility. For reference, a diversified S&P 500 ETF carries a one-month CVaR of roughly -8% to -12% in normal market conditions; individual equity CVaR is higher due to idiosyncratic risk. At the portfolio level, what matters is the marginal CVaR contribution of each holding — not its standalone figure. The A.L. Capital Advisory Portfolio Health Check quantifies each position's marginal tail-risk contribution across your entire holdings. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: CVaR & Tail-Risk Methodology →
What would trigger a rating upgrade or downgrade for ORCL?
Upgrade trigger: A price pullback that opens the margin of safety beyond +15% (approximately $93 based on the DCF bear case). Downgrade trigger: An earnings miss at current valuations (25.9x trailing P/E) where there is limited earnings cushion to absorb negative surprises; or a sustained reversal in the Quality and Momentum factor scores for two or more consecutive quarters. These triggers are reassessed each time the underlying fundamentals, price, or earnings data refresh — the current Hold rating is not held on a fixed review calendar. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: Rating Methodology (this page) →
Does ORCL consistently beat earnings estimates?
ORCL has beaten consensus EPS estimates in 3 of the 4 most recently reported quarters (75%) — indicating consistent delivery across the latest 4 reported quarters. The most recent reported quarter beat consensus by 7.5%. Sustained above-consensus delivery supports both the Momentum and Quality factor scores and provides a tailwind to the current rating. Across the 4 most recently reported quarters with valid consensus data, a beat rate above 70% signals consistent execution in this model, while a rate below 50% typically corresponds to a Momentum factor score of 3.0/5 or below. Earnings surprise magnitude and direction are incorporated into the Momentum and Quality dimensions of the five-factor scoring model. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: Earnings History (this page) →
How does ORCL contribute to portfolio risk and diversification?
ORCL carries a beta of 1.72 (high-volatility / growth-sensitive relative to the broad equity market). A beta above 1.0 means the position amplifies market moves in both directions at a typical portfolio weight. Strongest peer co-movement: MSFT (0.39), GOOGL (0.20), SAP (0.18). Holding ORCL alongside these names in the same portfolio increases concentration risk. True portfolio risk is a function of the full covariance structure — a single stock's beta does not reveal its marginal contribution to portfolio tail loss. The A.L. Capital Advisory Portfolio Health Check quantifies concentration risk (Herfindahl-Hirschman Index), pairwise correlations, and marginal CVaR contribution across all your holdings. If a single position such as this one makes up an outsized share of your net worth — employer stock, RSUs, or concentrated equity compensation — a Strategic Session builds the sequencing plan and the written allocation that follows from it. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: Ledoit-Wolf Covariance Framework →
What quantitative methodology does A.L. Capital Advisory use to analyse ORCL?
A.L. Capital Advisory analyses Oracle Corporation (ORCL) using a four-part quantitative research framework grounded in CFA Institute standards (not all four parts feed the composite rating formula directly — see below). (1) DCF Valuation: a two-stage earnings-based DCF that projects EPS (not free cash flow) under bear and bull assumptions, discounts at the CAPM cost of equity (the applicable rate for an equity-level metric like EPS, not a debt-weighted WACC) to produce an intrinsic value range with margin-of-safety calculation. (2) Five-Factor Scoring: each equity is scored 1–5 on Value, Quality, Momentum, Volatility, and Size. (3) CVaR Tail Risk: 95th-percentile Conditional Value at Risk from historical simulation of daily returns on a one-month horizon. (4) Earnings Surprise Analysis: quarterly beat rate and magnitude, shown for context alongside the factor scores. The current Hold composite rating for ORCL is calculated separately from this broader framework: it consists of a Hold quantitative grade, any automatic fundamental penalty, and a disclosed qualitative analyst-conviction overlay — see this page's Rating Methodology section for the exact formula. Five-factor scoring, CVaR and earnings surprise analysis below are supporting research diagnostics shown separately on this page; they are not direct numerical inputs into this specific composite-rating calculation. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: DCF Valuation Framework → · CVaR & Tail-Risk Methodology →
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Retrieved 2026-08-29T11:05:46+00:00 (UTC); see per-quarter analyst counts in Earnings Forecast; individual target ages/dates are not disclosed by the data provider
Most recent exchange settlement date on file with the data provider (exact settlement date not exposed by the provider's API; retrieved 2026-08-29T11:05:46+00:00 UTC)
[6] DCF valuation, five-factor model & composite rating
Calculated 2026-08-29T11:05:46+00:00 (UTC); see Rating Methodology above for the exact formula
Hand-authored thesis commentary (bull/bear case, catalysts, AI-Era Durability Score narrative) is cross-checked against the company's own investor-relations disclosures at time of writing; figures presented as A.L. Capital Advisory estimates are proprietary forecasts, not company guidance, unless explicitly attributed to the issuer.
Market-session status above is derived from the page's UTC generation time using standard NYSE hours (9:30am–4:00pm ET regular session); it does not account for US market holidays and may be inaccurate on those dates.
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Legal Disclaimer & Important Notices
This analysis is produced using a systematic quantitative framework applied to market data and does not constitute investment advice. Prose commentary is AI-assisted and generated from structured quantitative inputs. All data and metrics are as of 2026-08-29 and are point-in-time estimates subject to revision without notice. CVaR figures are based on historical simulation and do not guarantee future outcomes. DCF ranges and upgrade/downgrade triggers are forward-looking statements based on current assumptions and may not materialise. Past performance does not guarantee future results. This analysis does not account for individual circumstances, tax position, or investment objectives — consult a qualified financial advisor before making investment decisions. This content is intended for informational purposes only and does not constitute regulated investment advice under MiFID II or FCA guidelines. This content is not intended for US persons or residents of jurisdictions where its distribution would be contrary to local law or regulation. This service is not directed at residents of Finland, Sweden, Norway, Denmark, Iceland, or Poland. The author may hold long or short positions in securities mentioned in this analysis. Nothing on this page represents a solicitation to buy or sell any security. A.L. Capital Advisory is an independent private advisory practice and is not affiliated with Oracle Corporation.
CFA Portfolio Advisory — ORCL
Discuss this analysis, position sizing, or your full portfolio mandate with Anton Ladnyi, CFA.
