Ambarella (AMBA) Intangibles (2012 - 2026)
Ambarella (AMBA) reported Intangibles of $56.67 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 35.3% from $41.88 million a year earlier but down 4.0% from the prior quarter.
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Analysis
Ambarella (AMBA) Intangibles (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ambarella posted Intangibles of $58.05 million, up 22.8% from FY2025.
- Intangibles has a five-year compound annual growth rate of 25.4% (FY2021 to FY2026).
- By fiscal year, Intangibles came in at $47.28 million in FY2025 (-14.3%), $55.14 million in FY2024 (-5.7%), $58.5 million in FY2023 (+26.3%) and $46.3 million in FY2022 (+147.6%).
- Five-year quarterly Intangibles spans a low of $15.27 million in fiscal Q3 2022 and a high of $63.12 million in fiscal Q2 2024.
- Year over year, Intangibles has now increased in each of the last three quarters, with growth averaging 1.3% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was fiscal Q2 2023 (growth of 213.7%); the low point was fiscal Q3 2025 (a decline of 23.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $59.02 million (Q1 2027), $58.05 million (Q4 2026) and $37.95 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn | 3.00 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn | 26.33 Bn |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn | 15.64 Bn |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn | 634.47 Mn |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn | 2.55 Bn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn | 315.00 Mn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn | - |
| 10 | Ambarella | 2.97 Bn | 1.81 Bn | 62.42 Mn | 56.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 56.67 Mn |
| Apr 30, 2026 | 59.02 Mn |
| Jan 31, 2026 | 58.05 Mn |
| Oct 31, 2025 | 37.95 Mn |
| Jul 31, 2025 | 41.88 Mn |
| Apr 30, 2025 | 44.90 Mn |
| Jan 31, 2025 | 47.28 Mn |
| Oct 31, 2024 | 44.96 Mn |
| Jul 31, 2024 | 48.40 Mn |
| Apr 30, 2024 | 51.10 Mn |
| Jan 31, 2024 | 55.14 Mn |
| Oct 31, 2023 | 58.81 Mn |
| Jul 31, 2023 | 63.12 Mn |
| Apr 30, 2023 | 55.54 Mn |
| Jan 31, 2023 | 58.50 Mn |
| Oct 31, 2022 | 47.55 Mn |
| Jul 31, 2022 | 49.56 Mn |
| Apr 30, 2022 | 48.48 Mn |
| Jan 31, 2022 | 46.30 Mn |
| Oct 31, 2021 | 15.27 Mn |
API Access
Ambarella 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=intangibles&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();