GOOGL — analysis and forecast
🧬 Faro multibagger DNA
Does it look today like the big multibaggers (×10, ×100) did when they started? 7 traits measured with public data.
Strongest: Business quality and Balance sheet. Most lacking: Room to grow and Cash it generates.
Capped at 50 for size: it is so big that ×10 would require an off-the-charts valuation.
Worth $3.43 T. To grow ×10 it would have to reach $34.30 T.
Sales +25% last quarter (year over year) and +15% last fiscal year · accelerating.
Gross margin 61%, operating margin 32%, return on equity 44%.
Free cash flow −$1.2 B a year = -0.0% of its value (burning cash).
Trades at 7.3× sales: 0.37 per point of growth (lower is better).
Net cash equal to 3% of its value.
No recent federal contracts on the radar · outside the Faro megatrends · insiders own 1.6%.
⏱️ Timing (not scored): near its 12-month low · below its 200-day average · trailing the S&P 500 by 12 points over 12 months.
Built on the traits of 365 stocks that went ×100 (Mayer, 1962–2014) and 464 that went ×10 (Yartseva, 2009–2024), plus the Faro thesis. It does not predict the price and is not a recommendation. How it works and the ranking →
🔢 What the numbers say
The last 12 months, in plain words
- Over the last year GOOGL is down 0.9%. Over about two years: +64.8%.
- Today it sits 30.7% below its 52-week high ($402.62) and +2.0% above the low ($273.50).
- The worst drop from a peak in those 12 months was 30.7%. Anyone who bought at the top had to sit through that.
- It rose on 49% of days. Best day: +10.0%. Worst day: -12.6%.
- Annual volatility around 39%: in a normal year a ±39% move would not be unusual for this stock (the S&P 500 usually runs 15–20%).
🗓️ Forecast by horizon
Directional bias · probability of rising · expected price and likely range (68%)
| Horizon | Bias | Prob. up | Expected price | 68% range |
|---|---|---|---|---|
| 1 day | Strongly bearish | 38% | $279.27 +0.1% | $272.55 – $286.15 |
| 3 days | Strongly bearish | 38% | $279.83 +0.3% | $268.28 – $291.88 |
| 1 week | Strongly bearish | 38% | $280.39 +0.5% | $265.54 – $296.08 |
| 15 days | Strongly bearish | 38% | $281.80 +1.0% | $260.92 – $304.35 |
| 1 month | Strongly bearish | 39% | $284.92 +2.1% | $254.85 – $318.54 |
| 3 months | Strongly bearish | 43% | $297.16 +6.5% | $244.96 – $360.50 |
Recent momentum: -19.5% over 20 days · -21.3% over 60 days. The further out the horizon, the wider and more uncertain the forecast.
📈 Probability cone
📜 Government contracts
We have no notable federal contract on file for GOOGL. You can look it up yourself at USASpending.gov or in the Government Sources hub.
📚 Go deeper: Faro Library reports
PDF reports built from official filings. Your first one is free, no email; then $1.99 each or all 33 for $25 — included in Navigator and Admiral.
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Could GOOGL be the next NVIDIA?
Its Faro multibagger DNA is 50/100 (mixed): it measures how much it looks today like the big multibaggers did when they started (size, sales growth, quality, cash, price versus growth, balance sheet and public contracts). To grow ×10 it would need to be worth about 10 times today's value. Not a prediction or a recommendation.
How much has GOOGL fallen in the last year?
Alphabet (GOOGL) is down 0.9% over the last 12 months and trades at $278.99, 30.7% below its 52-week high ($402.62). 52-week range: $273.50 – $402.62.
How volatile is GOOGL stock?
Its annualized volatility is around 39% and its worst drop from a peak over the last year was 30.7%. For reference, the S&P 500 usually moves 15–20% a year.
Does GOOGL have U.S. government contracts?
There is no notable federal contract in Faro's register. You can search USASpending.gov.
Is now a good time to buy GOOGL?
Nobody can know that for sure and this page is not a buy recommendation. What the data shows today: strongly bearish technical bias, RSI 13 (oversold zone), price below its 50-day average and an estimated 39% probability of being higher in 1 month. Use it as a starting point for research, not as a signal.
🧠 How it is calculated
The verdict combines trend (20/50/200 moving averages), momentum (RSI, MACD), mean reversion (Bollinger Bands), conviction (volume) and historical drift, weighted differently for each horizon. Uncertainty is modeled with a lognormal probability cone (geometric Brownian motion). This is statistical analysis, not a crystal ball.
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