Ambiq Micro, Inc. (AMBQ) Stock Price
AMBQStock
$49.88+69.54%52W
Market Cap$1.21B
P/E—
PEG Ratio—
Div yield—
Beta2.78
AMBQ Share Price Chart
Favorite Metrics
Price vs S&P 500 (26W)56.36%
Price vs S&P 500 (4W)-28.51%
VGM Score48.63
AMBQ Earnings Surprise History
| Quarter | Report date | EPS estimate | EPS actual | Surprise |
|---|---|---|---|---|
| Q2 2026 | -$0.26 | -$0.07 | +72.78%(+$0.19) | |
| Q4 2025 | -$0.38 | -$0.32 | +16.61%(+$0.06) | |
| Q3 2025 | -$0.31 | -$0.22 | +30.06%(+$0.09) | |
| Q2 2025 | -$0.44 | -$0.13 | +70.48%(+$0.31) |
AMBQ Analyst Recommendations
Jun 2026
Jul 2026
Aug 2026
Sep 2026
4.00
4.00
4.00
4.00
Industry Peers — Semiconductors(108)
| Symbol | Value Score | Growth Score | Momentum Score | P/S Ratio (TTM) | Revenue Growth TTM (YoY) | Gross Margin (TTM) | ROE (TTM) | Price |
|---|---|---|---|---|---|---|---|---|
AMBQAmbiq Micro, Inc. | D | C | B | 12.3x | -10.8% | 43.6% | -15.2% | $49.88 |
| NVDANvidia Corp | D | A | B | 17.0x | 83.4% | 74.7% | 110.1% | $214.13 |
| TSMTaiwan Semiconductor Manufacturing Company Ltd. | D | B | B | 12.8x | 36.2% | 65.8% | 41.2% | $412.61 |
| AVGOBroadcom Inc. Common Stock | D | A | C | 17.6x | 48.7% | 68.8% | 43.9% | $328.75 |
| SKHYSK hynix Inc. American Depositary Shares | B | A | B | 4.9x | 145.0% | 76.3% | 100.1% | $136.49 |
| MUMicron Technology, Inc. | C | A | A | 7.5x | 256.3% | 80.7% | 91.8% | $878.84 |
| AMDAdvanced Micro Devices | F | B | A | 20.9x | 39.5% | 53.2% | 10.1% | $528.75 |
| INTCIntel Corp | D | D | B | 8.3x | 7.5% | 38.6% | -10.8% | $89.85 |
| AMATApplied Materials Inc | D | C | C | 10.5x | 7.8% | 49.4% | 40.4% | $409.29 |
| TXNTexas Instruments Incorporated | D | C | A | 13.0x | 16.7% | 58.3% | 35.8% | $276.48 |
| ARMArm Holdings plc American Depositary Shares | F | B | B | 50.7x | 25.1% | 97.5% | 13.0% | $227.80 |
About Ambiq Micro, Inc.
Ambiq Micro is a fabless semiconductor company providing ultra-low power chip solutions for edge AI and IoT applications. Its proprietary Sub-threshold Power Optimized Technology (SPOT) platform reduces power consumption in integrated circuits, enabling longer battery life and lower operational costs. The company addresses growing demand for efficient AI processing at the edge as computing shifts away from centralized cloud architectures.