Ambarella (AMBA) Other Accumulated Expenses (2012 - 2026)
Ambarella's Other Accumulated Expenses came in at $5.27 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.6% from $5.04 million a year earlier but down 11.7% from the prior quarter.
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Analysis
Ambarella (AMBA) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ambarella's Other Accumulated Expenses was $4.54 million, up 3.4% from FY2025.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 6.7% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $4.39 million in FY2025 (-20.7%), $5.54 million in FY2024 (-30.9%), $8.01 million in FY2023 (+45.8%) and $5.5 million in FY2022 (+67.5%).
- The five-year range for quarterly Other Accumulated Expenses is $4.39 million (fiscal Q4 2025) to $8.05 million (fiscal Q1 2024).
- Year-over-year, Other Accumulated Expenses has increased for six consecutive quarters, with an average decline of 2.0% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q3 2022 (growth of 119.7%), and the weakest in fiscal Q1 2025 (a decline of 39.4%).
- Business Quant data shows AMBA's Other Accumulated Expenses at $5.97 million (Q1 2027), $4.54 million (Q4 2026) and $4.96 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 | 5,109.17 Bn | 4,883.33 Bn | 72.14 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 |
| 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 |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn |
| 10 | Ambarella | 2.97 Bn | 1.81 Bn | 62.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.27 Mn |
| Apr 30, 2026 | 5.97 Mn |
| Jan 31, 2026 | 4.54 Mn |
| Oct 31, 2025 | 4.96 Mn |
| Jul 31, 2025 | 5.04 Mn |
| Apr 30, 2025 | 5.14 Mn |
| Jan 31, 2025 | 4.39 Mn |
| Oct 31, 2024 | 4.79 Mn |
| Jul 31, 2024 | 4.96 Mn |
| Apr 30, 2024 | 4.88 Mn |
| Jan 31, 2024 | 5.54 Mn |
| Oct 31, 2023 | 6.86 Mn |
| Jul 31, 2023 | 6.65 Mn |
| Apr 30, 2023 | 8.05 Mn |
| Jan 31, 2023 | 8.01 Mn |
| Oct 31, 2022 | 7.50 Mn |
| Jul 31, 2022 | 7.70 Mn |
| Apr 30, 2022 | 6.66 Mn |
| Jan 31, 2022 | 5.50 Mn |
| Oct 31, 2021 | 6.22 Mn |
API Access
Ambarella Other 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=other-accumulated-expenses&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();