Ambarella (AMBA) Inventory (2012 - 2026)
Ambarella's Inventory was $76.92 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 127.5% from $33.81 million a year earlier but down 4.3% from the prior quarter.
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Analysis
Ambarella (AMBA) Inventory (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Inventory at Ambarella came in at $52.25 million, up 51.8% from FY2025.
- Inventory shows a five-year compound annual growth rate of 14.9% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $34.43 million in FY2025 (+18.5%), $29.04 million in FY2024 (-28.3%), $40.49 million in FY2023 (-10.5%) and $45.22 million in FY2022 (+73.4%).
- Quarterly Inventory has moved between $28.33 million (fiscal Q1 2025) and $80.36 million (fiscal Q1 2027) over five years.
- Compared with a year earlier, Inventory has increased for eight straight quarters, with growth averaging 47.2% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q2 2027 (growth of 127.5%); the worst was fiscal Q3 2024 (a decline of 32.2%).
- Per Business Quant data, AMBA's Inventory in the three fiscal quarters before Q2 2027 was $80.36 million (Q1 2027), $52.25 million (Q4 2026) and $39.16 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn | 12.10 Bn |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn | 10.37 Bn |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn | 13.43 Bn |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn | 6.56 Bn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn | 4.55 Bn |
| 10 | Ambarella | 2.97 Bn | 1.81 Bn | 62.42 Mn | 76.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 76.92 Mn |
| Apr 30, 2026 | 80.36 Mn |
| Jan 31, 2026 | 52.25 Mn |
| Oct 31, 2025 | 39.16 Mn |
| Jul 31, 2025 | 33.81 Mn |
| Apr 30, 2025 | 39.29 Mn |
| Jan 31, 2025 | 34.43 Mn |
| Oct 31, 2024 | 36.59 Mn |
| Jul 31, 2024 | 30.66 Mn |
| Apr 30, 2024 | 28.33 Mn |
| Jan 31, 2024 | 29.04 Mn |
| Oct 31, 2023 | 30.78 Mn |
| Jul 31, 2023 | 34.77 Mn |
| Apr 30, 2023 | 41.22 Mn |
| Jan 31, 2023 | 40.49 Mn |
| Oct 31, 2022 | 45.40 Mn |
| Jul 31, 2022 | 40.10 Mn |
| Apr 30, 2022 | 41.52 Mn |
| Jan 31, 2022 | 45.22 Mn |
| Oct 31, 2021 | 47.04 Mn |
API Access
Ambarella Inventory 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=inventory&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();