Ambarella (AMBA) Assets (2012 - 2026)
Ambarella (AMBA) reported Assets of $780.21 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 10.4% from $706.43 million a year earlier but down 1.8% from the prior quarter.
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Analysis
Ambarella (AMBA) Assets (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ambarella posted Assets of $798.6 million, up 15.9% from FY2025.
- Assets has a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- By fiscal year, Assets came in at $688.97 million in FY2025 (+4.8%), $657.66 million in FY2024 (-7.4%), $710.2 million in FY2023 (+8.0%) and $657.55 million in FY2022 (+14.7%).
- Five-year quarterly Assets spans a low of $633.36 million in fiscal Q3 2022 and a high of $798.6 million in fiscal Q4 2026.
- Year over year, Assets has now increased in each of the last seven quarters, with growth averaging 9.1% over the last eight quarters.
- The high point for year-over-year Assets in five years was fiscal Q4 2026 (growth of 15.9%); the low point was fiscal Q1 2025 (a decline of 9.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $794.84 million (Q1 2027), $798.6 million (Q4 2026) and $751.89 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,129.37 Bn | 4,903.53 Bn | 72.14 Bn | 320.27 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.41 Bn | 1,793.27 Bn | 27.22 Bn | 294.22 Bn |
| 3 | Broadcom | 1,543.53 Bn | 1,469.57 Bn | 20.46 Bn | 188.15 Bn |
| 4 | Micron Technology | 990.29 Bn | 895.93 Bn | 47.05 Bn | 195.89 Bn |
| 5 | Advanced Micro Devices | 844.82 Bn | 801.56 Bn | 6.20 Bn | 84.46 Bn |
| 6 | Asml Holding | 610.89 Bn | 566.57 Bn | 5.90 Bn | 59.40 Bn |
| 7 | Intel | 442.63 Bn | 311.76 Bn | 6.51 Bn | 202.44 Bn |
| 8 | Applied Materials | 300.82 Bn | 266.26 Bn | 4.59 Bn | 43.52 Bn |
| 9 | Lam Research | 287.72 Bn | 263.77 Bn | 4.30 Bn | 26.35 Bn |
| 10 | Ambarella | 2.93 Bn | 1.77 Bn | 62.42 Mn | 780.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 780.21 Mn |
| Apr 30, 2026 | 794.84 Mn |
| Jan 31, 2026 | 798.60 Mn |
| Oct 31, 2025 | 751.89 Mn |
| Jul 31, 2025 | 706.43 Mn |
| Apr 30, 2025 | 701.92 Mn |
| Jan 31, 2025 | 688.97 Mn |
| Oct 31, 2024 | 670.79 Mn |
| Jul 31, 2024 | 650.33 Mn |
| Apr 30, 2024 | 638.66 Mn |
| Jan 31, 2024 | 657.66 Mn |
| Oct 31, 2023 | 684.63 Mn |
| Jul 31, 2023 | 696.24 Mn |
| Apr 30, 2023 | 704.78 Mn |
| Jan 31, 2023 | 710.20 Mn |
| Oct 31, 2022 | 687.46 Mn |
| Jul 31, 2022 | 674.42 Mn |
| Apr 30, 2022 | 668.67 Mn |
| Jan 31, 2022 | 657.55 Mn |
| Oct 31, 2021 | 633.36 Mn |
API Access
Ambarella Assets 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=assets&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();