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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Information Technology · ·
$135.47
▼ $3.00 (-2.2%)
Market data updated: 09/19 04:23 PM
Fundamentals updated: 09/19/2026
News analyzed: 09/19/2026
Market Cap
$140.08B
Day Range
$135.07 - $139.94
52-Week Range
$81.24 - $194.73
Beta
—
Next Earnings
27.10.2026
Support
$91.53
Resistance
$149.60
NOW is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
-28.7% (1Y)
Strengths: 14/30 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
🟡 Mixed
Technical Trend
🟢 Bullish
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): 20.9%
Growth
Biggest negative driver
DCF Fair Value
Estimated fair value: $105.83 vs. price $135.47 (-21.9%)
Fair Value
Signal tension
Growth scores strong (82/100), but fair-value analysis scores this stock as relatively expensive (33/100) — the growth story and the current price aren't fully aligned.
What to watch next
When today echoes the past.
74/100
Similarity
15
Historical Matches
87/100
Analog Quality
+3.9%
Median 40D Outcome
44/100
Pattern Consistency
🟢 Bullish
47%
+8.1% … +20.5%
🟡 Base
13%
-0.5% … +0.5%
🔴 Bearish
40%
-5.6% … -3.2%
Typical timeframe (based on real historical rates clearing a 60% bar): 40 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 47% (95% CI 25%–70%) saw the stock rise within 20 trading days, with a median gain of +0.9%.
Echo #1 — Trend Acceleration
1 occurrence(s) · 100% historical success
Echo #2 — 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%) | -0.0% | -4.8% … +1.5% | +0.6% |
| 10D | 40% (20%–64%) | +0.1% | -3.7% … +5.8% | +1.2% |
| 20D | 47% (25%–70%) | +0.9% | -3.6% … +12.0% | +2.4% |
| 40D | 60% (36%–80%) | +3.9% | -9.3% … +17.5% | +4.7% |
| 60D | 67% (42%–85%) | +15.8% | -15.7% … +19.3% | +7.2% |
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 |
|---|---|---|---|---|
| 2022-07-11 | 74/100 | High Volatility | +0.9% | -16.1% |
| 2022-08-16 | 70/100 | Consolidation | -7.9% | -27.3% |
| 2023-02-16 | 68/100 | Uptrend | -2.8% | +2.1% |
| 2023-03-07 | 68/100 | Uptrend | +7.0% | +22.1% |
| 2023-03-24 | 67/100 | Consolidation | +9.3% | +26.3% |
| 2020-09-17 | 67/100 | Consolidation | +14.7% | +18.4% |
| 2025-04-16 | 66/100 | High Volatility | +29.9% | +20.1% |
| 2024-12-27 | 65/100 | Uptrend | +5.7% | -23.5% |
| 2022-12-08 | 65/100 | ✓ High Volatility | -4.5% | +12.8% |
| 2025-04-02 | 64/100 | Downtrend | +16.3% | +24.8% |
| 2023-01-04 | 64/100 | Consolidation | +24.7% | +18.0% |
| 2022-03-03 | 64/100 | Downtrend | -1.0% | -15.3% |
| 2022-11-17 | 63/100 | ✓ High Volatility | -1.6% | +15.8% |
| 2025-10-14 | 63/100 | Consolidation | -5.6% | -22.2% |
| 2025-03-19 | 63/100 | Downtrend | -5.6% | +17.1% |
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 XLK (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
66
Today
—
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 · $145.59
Evidence: +5.4pp vs. sector average today
What happened after
15d ago · $145.59
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
15d ago · $145.59
Evidence: 11 bullish / 0 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 26, 2026
Then
69
$127.00
Now
66
$135.47
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
82
Quality
63
Value
33
Momentum
66
Risk
40
Sentiment
100
Fundamental
68
Institutional
0
Stocks with a similar DNA right now
SCANNING NOW...
Recent headlines focus ServiceNow as a top “new buy” in Dow Jones futures coverage, repeatedly cited alongside Twilio as a leading pick amid Fed‑rate‑hike concerns and market volatility. A separate Yahoo report also notes billionaire Ray Dalio’s Bridgewater Associates added a 635,000‑share position in ServiceNow, highlighting institutional interest. Overall, coverage emphasizes ServiceNow’s strong investor momentum and its prominence in market‑watch analysis.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about ServiceNow. News trend score: 100. Reason: 16 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
28
🎯 Conviction (vs. Emotion)
42
Psychology
47
Fundamentals
68
Technical
66
Valuation
33
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.
The price rise has far outpaced the actual improvement in fundamental data.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price (3M)
+42%
Market Narrative
65
Fundamental Reality
42
Narrative Gap
+23
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for NOW suggests a dominant euphoric state, where extreme valuation (+27% above DCF) and perfect sentiment (100/100) align with overconfidence. The narrative gap (84 vs. 42) implies investors may be overestimating fundamentals. Key open question: Will momentum sustain despite widening valuation disconnect? The disconnect between peer performance and NOW’s underperformance hints at selective euphoria rather than broad herd behavior.
Updated: 09/09/2026, 06:55 AM
What could change this?
👥 What the crowd believes
"BTIG Adjusts Price Target on ServiceNow to $170 From $150, Keeps Buy Rating"
"ServiceNow Jumps 25% in 3 Months: Buy, Sell or Hold the Stock?"
"ServiceNow is in a buy zone after breaking out of a cup base with a buy point of 139.20"
"ServiceNow is rated Sell, as its 30% rally is disconnected from company fundamentals"
📈 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
Philip Fisher — 78/100
🔴 Weakest match
Benjamin Graham (Enterprising Investor) — 6/100
🗣️ Why do they disagree?
Based on their documented principles, the model estimates that early‑growth investors like Philip Fisher and Edgar Lawrence Smith would see NOW as an exceptionally high‑quality, long‑term hold candidate, assigning scores of 78 and 73 respectively. Mid‑range analysts such as Morgan Housel, Peter Lynch and Samuel Armstrong Nelson acknowledge solid growth but note that the price already reflects much of it, resulting in moderate scores around 52‑63 and verdicts that the stock is only "holdable" or "mid‑cycle." Risk‑focused thinkers—Howard Marks (cycle and risk/valuation), Jesse Livermore, and Walter Bagehot—flag liquidity and trend concerns, delivering lower scores in the low 40s and below with warnings about risk or market timing. Finally, strict defensive frameworks like Benjamin Graham’s criteria and the efficient‑market view assign very low scores (15, 6, 47) because the stock fails basic safety and valuation tests and offers little advantage over a broad index, leading the model to view it as unsuitable under those principles.
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 78
Exceptional company quality by Fisher's standards
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 73
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)
🟢 70
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
Morgan Housel
The Psychology of Money (2020)
🟡 63
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 59
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 54
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 52
Mixed — growth exists but the price already reflects much of it
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 50
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 46
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
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 41
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 41
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
Walter Bagehot
Lombard Street (1873)
🟡 40
Liquidity position Bagehot would flag as a real risk
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 36
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
Jack Schwager
Market Wizards (1989)
🔴 30
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)
🔴 15
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 6
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?
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 an uptrend (5 bullish · 2 bearish · 3 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
77.5%
Operating Margin
13.7%
Net Margin
13.2%
EBITDA Margin
—
ROE
13.5%
ROA
6.7%
ROIC
—
EPS
$1.69
Cash
$3.73B
Total Debt
—
Current Ratio
1.00
Debt/Equity
0.12
How is Fair Value calculated? →
Current Price
$135.47
Estimated Fair Value (DCF)
$105.83
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-21.9%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
22.4%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 22.4% | $5.60B | $5.14B |
| 2 | 17.4% | $6.58B | $5.53B |
| 3 | 12.4% | $7.39B | $5.71B |
| 4 | 7.5% | $7.95B | $5.63B |
| 5 | 2.5% | $8.14B | $5.29B |
Base FCF (last actual year)
$4.58B
Terminal Value
$128.43B
Present Value of Terminal Value
$83.47B
Enterprise Value
$110.77B
Net Debt
$0
Equity Value
$110.77B
*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
$12.38
Tangible Book Value per Share (Tangible NAV)
$11.31
Sentiment based on basic keywords (not AI) — 16 positive, 3 neutral, 1 negative out of the last 20 articles.
SeekingAlpha · 19.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
ChartMill · 18.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 15.9.2026
Yahoo · 15.9.2026
Yahoo · 15.9.2026
ServiceNow (NOW) currently has a StockIQ AI score of 66/100, 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.
NOW currently scores 66/100 (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, NOW's estimated fair value is $105.83, which is 21.9% below the current price of $135.47. This is one valuation model among several signals in the fair-value category, not a price target.
NOW's technical score is 66/100, 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: Revenue growth (last year): 20.9%; Earnings per share (EPS) growth: 21.9%; Free cash flow growth: 34.0%.
Based on the real signals StockIQ computed: Estimated fair value: $105.83 vs. price $135.47 (-21.9%); ATR: 4.7% of price; Calmar: 0.09 (3y annualized return 5.8% / max drawdown 64.5%).
StockIQ has no recorded dividend payment history for NOW.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 4 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Fipps Paul | Open Market Sale | 31.8.2026 | 2,034 | -2,034 | $147.87 |
| Canney Jacqueline P | Open Market Sale | 28.8.2026 | 7,847 | -7,847 | $138.00 |
| Chamberlain Paul Edward | Open Market Sale | 27.8.2026 | 2,700 | -2,700 | $135.50 |
| Chamberlain Paul Edward | Open Market Sale | 27.8.2026 | 43,990 | -2,700 | $135.50 |
| McDermott William R | Tax Withholding in Shares | 17.8.2026 | 2,236 | -2,236 | $117.70 |
| Fipps Paul | Exercise of Derivative Securities | 17.8.2026 | 300 | -300 | — |
| Fipps Paul | Exercise of Derivative Securities | 17.8.2026 | 340 | -340 | — |
| Canney Jacqueline P | Tax Withholding in Shares | 17.8.2026 | 496 | -496 | $117.70 |
| Fipps Paul | Exercise of Derivative Securities | 17.8.2026 | 340 | +340 | — |
| Canney Jacqueline P | Exercise of Derivative Securities | 17.8.2026 | 970 | +970 | — |
| Mastantuono Gina | Exercise of Derivative Securities | 17.8.2026 | 1,595 | +1,595 | — |
| Fipps Paul | Tax Withholding in Shares | 17.8.2026 | 120 | -120 | $117.70 |
| Fipps Paul | Tax Withholding in Shares | 17.8.2026 | 136 | -136 | $117.70 |
| McDermott William R | Exercise of Derivative Securities | 17.8.2026 | 4,160 | +4,160 | — |
| Fontaine Danielle | Exercise of Derivative Securities | 17.8.2026 | 485 | -485 | — |
| Fontaine Danielle | Tax Withholding in Shares | 17.8.2026 | 168 | -168 | $117.70 |
| Mastantuono Gina | Exercise of Derivative Securities | 17.8.2026 | 1,595 | -1,595 | — |
| Fontaine Danielle | Exercise of Derivative Securities | 17.8.2026 | 485 | +485 | — |
| Canney Jacqueline P | Exercise of Derivative Securities | 17.8.2026 | 970 | -970 | — |
| McDermott William R | Exercise of Derivative Securities | 17.8.2026 | 4,160 | -4,160 | — |
| Mastantuono Gina | Tax Withholding in Shares | 17.8.2026 | 858 | -858 | $117.70 |
| Fipps Paul | Exercise of Derivative Securities | 17.8.2026 | 300 | +300 | — |
| Fontaine Danielle | Exercise of Derivative Securities | 14.8.2026 | 740 | -740 | — |
| Fontaine Danielle | Tax Withholding in Shares | 14.8.2026 | 256 | -256 | $124.00 |
| Fontaine Danielle | Exercise of Derivative Securities | 14.8.2026 | 235 | -235 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
30,315,334 shares short as of 2026-08-31 · vs. 36,794,698 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
56.2% of trading volume this week was short selling, vs. 49.3% 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