Ambarella (AMBA) Goodwill & Intangibles (2012 - 2026)
Ambarella (AMBA) reported Goodwill & Intangibles of $360.3 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 694.0% from $45.38 million a year earlier but down 0.6% from the prior quarter.
Ambarella (AMBA) Goodwill & Intangibles (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ambarella posted Goodwill & Intangibles of $361.67 million, up 3.1% from FY2025.
- Goodwill & Intangibles has a five-year compound annual growth rate of 51.5% (FY2021 to FY2026).
- By fiscal year, Goodwill & Intangibles came in at $350.9 million in FY2025 (-2.2%), $358.76 million in FY2024 (-0.9%), $362.12 million in FY2023 (+3.5%) and $349.93 million in FY2022 (+672.4%).
- Five-year quarterly Goodwill & Intangibles spans a low of $41.87 million in fiscal Q3 2022 and a high of $366.75 million in fiscal Q2 2024.
- Year over year, Goodwill & Intangibles has now increased in each of the last three quarters, with growth averaging 75.5% over the last eight quarters.
- The high point for year-over-year Goodwill & Intangibles in five years was fiscal Q3 2023 (growth of 738.8%); the low point was fiscal Q2 2026 (a decline of 87.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $362.65 million (Q1 2027), $361.67 million (Q4 2026) and $341.58 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Ambarella | 2.65 Bn | 1.50 Bn | 62.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 360.30 Mn |
| Apr 30, 2026 | 362.65 Mn |
| Jan 31, 2026 | 361.67 Mn |
| Oct 31, 2025 | 341.58 Mn |
| Jul 31, 2025 | 45.38 Mn |
| Apr 30, 2025 | 348.52 Mn |
| Jan 31, 2025 | 350.90 Mn |
| Oct 31, 2024 | 348.59 Mn |
| Jul 31, 2024 | 352.03 Mn |
| Apr 30, 2024 | 354.72 Mn |
| Jan 31, 2024 | 358.76 Mn |
| Oct 31, 2023 | 362.43 Mn |
| Jul 31, 2023 | 366.75 Mn |
| Apr 30, 2023 | 359.16 Mn |
| Jan 31, 2023 | 362.12 Mn |
| Oct 31, 2022 | 351.18 Mn |
| Jul 31, 2022 | 353.19 Mn |
| Apr 30, 2022 | 352.10 Mn |
| Jan 31, 2022 | 349.93 Mn |
| Oct 31, 2021 | 41.87 Mn |
Ambarella Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=AMBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "AMBA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=goodwill-and-intangibles&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();