Ambiq Micro (AMBQ) EBITDA (2024 - 2026)
Ambiq Micro (AMBQ) recorded EBITDA of -$6.94 million in Q2 2026, compared with -$6.94 million a year earlier.
Powered by 
Analysis
Ambiq Micro (AMBQ) EBITDA (2024 - 2026) Analysis & Trends
On a TTM basis, Ambiq Micro's EBITDA came in at -$35.5 million as of Jun 30, 2026; for FY2025, it came in at -$32.33 million.
- Across earlier years, EBITDA came in at -$34.37 million in FY2024.
- The Q2 2026 figure is the highest quarterly EBITDA since Q1 2025.
- Per Business Quant, the preceding three quarters came in at -$9.95 million (Q1 2026), -$10.32 million (Q4 2025) and -$8.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 64.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 18.17 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Ambiq Micro | 1.65 Bn | 790.62 Mn | 15.27 Mn | -6.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.94 Mn |
| Mar 31, 2026 | -9.95 Mn |
| Dec 31, 2025 | -10.32 Mn |
| Sep 30, 2025 | -8.29 Mn |
| Jun 30, 2025 | -6.94 Mn |
| Mar 31, 2025 | -6.78 Mn |
| Dec 31, 2024 | -8.76 Mn |
| Sep 30, 2024 | -8.63 Mn |
API Access
Ambiq Micro EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebitda&ticker=AMBQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "AMBQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=AMBQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();