Ambarella (AMBA) Cash & Equivalents (2011 - 2026)
Ambarella (AMBA) reported Cash & Equivalents of $101.85 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 28.6% from $142.74 million a year earlier and down 11.0% from the prior quarter.
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Analysis
Ambarella (AMBA) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ambarella posted Cash & Equivalents of $191.02 million, up 32.1% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of -4.6% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $144.62 million in FY2025 (-0.2%), $144.91 million in FY2024 (+27.6%), $113.54 million in FY2023 (-33.6%) and $171.04 million in FY2022 (-29.1%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Cash & Equivalents since fiscal Q4 2013.
- Year over year, Cash & Equivalents gained in three of the last eight quarters, with growth averaging 1.2%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2022 (growth of 103.0%); the low point was fiscal Q3 2023 (a decline of 75.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $114.44 million (Q1 2027), $191.02 million (Q4 2026) and $174.06 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn | 7.04 Bn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn | 7.44 Bn |
| 10 | Ambarella | 2.97 Bn | 1.81 Bn | 62.42 Mn | 101.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 101.85 Mn |
| Apr 30, 2026 | 114.44 Mn |
| Jan 31, 2026 | 191.02 Mn |
| Oct 31, 2025 | 174.06 Mn |
| Jul 31, 2025 | 142.74 Mn |
| Apr 30, 2025 | 141.29 Mn |
| Jan 31, 2025 | 144.62 Mn |
| Oct 31, 2024 | 127.12 Mn |
| Jul 31, 2024 | 153.93 Mn |
| Apr 30, 2024 | 131.81 Mn |
| Jan 31, 2024 | 144.91 Mn |
| Oct 31, 2023 | 143.79 Mn |
| Jul 31, 2023 | 122.52 Mn |
| Apr 30, 2023 | 127.74 Mn |
| Jan 31, 2023 | 113.54 Mn |
| Oct 31, 2022 | 112.84 Mn |
| Jul 31, 2022 | 194.94 Mn |
| Apr 30, 2022 | 200.64 Mn |
| Jan 31, 2022 | 171.04 Mn |
| Oct 31, 2021 | 457.76 Mn |
API Access
Ambarella Cash & Equivalents 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=cash-and-equivalents&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();