Ambarella (AMBA) Change in Accrued Expenses (2012 - 2026)
Ambarella (AMBA) posted Change in Accured Expenses of -$7.08 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with $1.89 million a year earlier.
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Analysis
Ambarella (AMBA) Change in Accrued Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Change in Accured Expenses at Ambarella was $5.55 million, down 67.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $13 million, down 57.2% from FY2025.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 1.5% (FY2021 to FY2026).
- In prior fiscal years, Ambarella's Change in Accured Expenses was $30.38 million in FY2025, -$6.66 million in FY2024, $5.23 million in FY2023 and -$1.95 million in FY2022.
- The fiscal Q2 2027 figure stands as the lowest quarterly Change in Accured Expenses since fiscal Q4 2024.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $826,000 (Q1 2027), -$825,000 (Q4 2026) and $12.63 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 1.06 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 252.00 Mn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -619.00 Mn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 5.38 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 323.00 Mn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 165.00 Mn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Ambarella | 2.65 Bn | 1.50 Bn | 62.42 Mn | -7.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -7.08 Mn |
| Apr 30, 2026 | 826,000.00 |
| Jan 31, 2026 | -825,000.00 |
| Oct 31, 2025 | 12.63 Mn |
| Jul 31, 2025 | 1.89 Mn |
| Apr 30, 2025 | -692,000.00 |
| Jan 31, 2025 | 5.05 Mn |
| Oct 31, 2024 | 10.64 Mn |
| Jul 31, 2024 | 8.89 Mn |
| Apr 30, 2024 | 5.81 Mn |
| Jan 31, 2024 | -13.60 Mn |
| Oct 31, 2023 | 6.81 Mn |
| Jul 31, 2023 | 2.74 Mn |
| Apr 30, 2023 | -2.61 Mn |
| Jan 31, 2023 | 2.41 Mn |
| Oct 31, 2022 | -1.57 Mn |
| Jul 31, 2022 | 6.90 Mn |
| Apr 30, 2022 | -2.52 Mn |
| Jan 31, 2022 | -4.31 Mn |
| Oct 31, 2021 | 2.98 Mn |
API Access
Ambarella Change in Accrued 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=change-in-accured-expenses&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();