SBMT — 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: Room to grow and Balance sheet. Most lacking: Business quality and Cash it generates.
Worth $193 M. To grow ×10 it would have to reach $1.9 B.
Not enough sales data.
Gross margin 0%, operating margin 0%, return on equity -17%.
Free cash flow −$8 M a year = -3.9% of its value (burning cash).
Trades at —× sales with no growth to back it.
Net cash equal to 29% of its value.
No recent federal contracts on the radar · inside a Faro megatrend · insiders own 13.3%.
⏱️ Timing (not scored): near its 12-month low · below its 200-day average · trailing the S&P 500 by 50 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 122 sessions we have for SBMT it moved -39.3%.
- Today it sits 39.3% below its 52-week high ($10.75) and +6.0% above the low ($6.15).
- The worst drop from a peak in those 12 months was 42.8%. Anyone who bought at the top had to sit through that.
- It rose on 39% of days. Best day: +12.4%. Worst day: -16.7%.
- Annual volatility around 79%: in a normal year a ±79% 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% | $6.50 -0.2% | $6.19 – $6.84 |
| 3 days | Strongly bearish | 37% | $6.47 -0.7% | $5.94 – $7.06 |
| 1 week | Strongly bearish | 36% | $6.44 -1.2% | $5.76 – $7.20 |
| 15 days | Strongly bearish | 34% | $6.37 -2.4% | $5.44 – $7.46 |
| 1 month | Strongly bearish | 32% | $6.20 -4.9% | $4.93 – $7.80 |
| 3 months | Strongly bearish | 25% | $5.61 -13.9% | $3.78 – $8.34 |
Recent momentum: -22.9% over 20 days · -4.7% 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 SBMT. 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 30 for $25 — included in Navigator and Admiral.
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Practical guide: How to read an earnings report in 15 minutesEvery three months companies publish their numbers. The market reacts in seconds. A 7-step method, with real 2026 exampl…6 pp. · Free preview →❓ Frequently asked questions about SBMT
Could SBMT be the next NVIDIA?
Its Faro multibagger DNA is 48/100 (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 SBMT fallen in the last year?
Silver Bow Mining (SBMT) is down 39.3% over the period with data and trades at $6.52, 39.3% below its 52-week high ($10.75). 52-week range: $6.15 – $10.75.
How volatile is SBMT stock?
Its annualized volatility is around 79% and its worst drop from a peak over the last year was 42.8%. For reference, the S&P 500 usually moves 15–20% a year.
Does SBMT 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 SBMT?
Nobody can know that for sure and this page is not a buy recommendation. What the data shows today: strongly bearish technical bias, RSI 14 (oversold zone), price below its 50-day average and an estimated 32% 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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