Ambarella (AMBA) Operating Expenses (2011 - 2026)
Ambarella (AMBA) posted Operating Expenses of $70.56 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 9.8% from $78.22 million a year earlier and down 9.5% from the prior quarter.
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Analysis
Ambarella (AMBA) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Ambarella was $306.74 million, down 0.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $313.79 million, up 5.0% from FY2025.
- Annual Operating Expenses has increased for 15 consecutive fiscal years, with a five-year compound annual growth rate of 9.8% (FY2021 to FY2026).
- In prior fiscal years, Ambarella's Operating Expenses was $298.93 million in FY2025 (+2.6%), $291.38 million in FY2024 (+2.9%), $283.19 million in FY2023 (+19.1%) and $237.78 million in FY2022 (+20.9%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Operating Expenses since fiscal Q1 2023.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 2.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2022, with growth of 34.4%; the weakest was fiscal Q2 2027, with a decline of 9.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $78.01 million (Q1 2027), $77.35 million (Q4 2026) and $80.83 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn | 2.77 Bn |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn | - |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn | 1.51 Bn |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn | 1.02 Bn |
| 10 | Ambarella | 2.94 Bn | 1.78 Bn | 62.42 Mn | 70.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 70.56 Mn |
| Apr 30, 2026 | 78.01 Mn |
| Jan 31, 2026 | 77.35 Mn |
| Oct 31, 2025 | 80.83 Mn |
| Jul 31, 2025 | 78.22 Mn |
| Apr 30, 2025 | 77.39 Mn |
| Jan 31, 2025 | 75.73 Mn |
| Oct 31, 2024 | 75.56 Mn |
| Jul 31, 2024 | 75.03 Mn |
| Apr 30, 2024 | 72.61 Mn |
| Jan 31, 2024 | 72.57 Mn |
| Oct 31, 2023 | 71.95 Mn |
| Jul 31, 2023 | 73.80 Mn |
| Apr 30, 2023 | 73.06 Mn |
| Jan 31, 2023 | 73.09 Mn |
| Oct 31, 2022 | 71.81 Mn |
| Jul 31, 2022 | 71.25 Mn |
| Apr 30, 2022 | 67.05 Mn |
| Jan 31, 2022 | 69.66 Mn |
| Oct 31, 2021 | 58.84 Mn |
API Access
Ambarella Operating Expenses 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=operating-expenses&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();