Ambarella (AMBA) Accumulated Expenses (2012 - 2026)
Ambarella's Accumulated Expenses came in at $86.49 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 13.5% from $76.19 million a year earlier but down 6.5% from the prior quarter.
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Analysis
Ambarella (AMBA) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ambarella's Accumulated Expenses was $97.96 million, up 21.3% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of 15.3% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $80.78 million in FY2025 (+66.2%), $48.6 million in FY2024 (-14.2%), $56.66 million in FY2023 (+8.8%) and $52.06 million in FY2022 (+8.2%).
- The five-year range for quarterly Accumulated Expenses is $39.35 million (fiscal Q1 2023) to $97.96 million (fiscal Q4 2026).
- Year-over-year, Accumulated Expenses has increased for ten consecutive quarters, with growth averaging 30.5% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2025 (growth of 66.2%), and the weakest in fiscal Q4 2024 (a decline of 14.2%).
- Business Quant data shows AMBA's Accumulated Expenses at $92.52 million (Q1 2027), $97.96 million (Q4 2026) and $88.4 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn |
| 10 | Ambarella | 2.94 Bn | 1.78 Bn | 62.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 86.49 Mn |
| Apr 30, 2026 | 92.52 Mn |
| Jan 31, 2026 | 97.96 Mn |
| Oct 31, 2025 | 88.40 Mn |
| Jul 31, 2025 | 76.19 Mn |
| Apr 30, 2025 | 73.48 Mn |
| Jan 31, 2025 | 80.78 Mn |
| Oct 31, 2024 | 72.97 Mn |
| Jul 31, 2024 | 62.40 Mn |
| Apr 30, 2024 | 49.71 Mn |
| Jan 31, 2024 | 48.60 Mn |
| Oct 31, 2023 | 57.99 Mn |
| Jul 31, 2023 | 54.03 Mn |
| Apr 30, 2023 | 46.01 Mn |
| Jan 31, 2023 | 56.66 Mn |
| Oct 31, 2022 | 43.56 Mn |
| Jul 31, 2022 | 48.40 Mn |
| Apr 30, 2022 | 39.35 Mn |
| Jan 31, 2022 | 52.06 Mn |
| Oct 31, 2021 | 48.91 Mn |
API Access
Ambarella Accumulated 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=accumulated-expenses&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();