Ambarella (AMBA) Depreciation and Depletion (2012 - 2026)
Ambarella's Depreciation and Depletion was $1.3 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 8.3% from $1.2 million a year earlier and up 8.3% from the prior quarter.
Ambarella (AMBA) Depreciation and Depletion (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ambarella's Depreciation and Depletion was $5 million through Jul 31, 2026, up 8.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $4.8 million, up 2.1% from FY2025.
- Depreciation and Depletion shows a five-year compound annual growth rate of 13.0% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $4.7 million in FY2025 (-2.1%), $4.8 million in FY2024 (+23.1%), $3.9 million in FY2023 (+39.3%) and $2.8 million in FY2022 (+7.7%).
- Compared with a year earlier, Depreciation and Depletion has increased for three straight quarters, with growth averaging 1.5% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q2 2023 (growth of 50.0%); the worst was fiscal Q4 2025 (a decline of 15.4%).
- Per Business Quant data, AMBA's Depreciation and Depletion in the three fiscal quarters before Q2 2027 was $1.2 million (Q1 2027), $1.3 million (Q4 2026) and $1.2 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,129.01 Bn | 4,903.17 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,165.84 Bn | 1,790.70 Bn | 27.22 Bn | 6.21 Bn |
| 3 | Broadcom | 1,546.69 Bn | 1,472.73 Bn | 20.46 Bn | 171.00 Mn |
| 4 | Micron Technology | 995.97 Bn | 901.61 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 845.67 Bn | 802.42 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 611.87 Bn | 567.56 Bn | 5.90 Bn | - |
| 7 | Intel | 443.97 Bn | 313.10 Bn | 6.51 Bn | 2.99 Bn |
| 8 | Applied Materials | 301.09 Bn | 266.53 Bn | 4.59 Bn | - |
| 9 | Lam Research | 288.53 Bn | 264.58 Bn | 4.30 Bn | - |
| 10 | Ambarella | 2.93 Bn | 1.77 Bn | 62.42 Mn | 1.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.30 Mn |
| Apr 30, 2026 | 1.20 Mn |
| Jan 31, 2026 | 1.30 Mn |
| Oct 31, 2025 | 1.20 Mn |
| Jul 31, 2025 | 1.20 Mn |
| Apr 30, 2025 | 1.10 Mn |
| Jan 31, 2025 | 1.10 Mn |
| Oct 31, 2024 | 1.20 Mn |
| Jul 31, 2024 | 1.20 Mn |
| Apr 30, 2024 | 1.20 Mn |
| Jan 31, 2024 | 1.30 Mn |
| Oct 31, 2023 | 1.20 Mn |
| Jul 31, 2023 | 1.20 Mn |
| Apr 30, 2023 | 1.10 Mn |
| Jan 31, 2023 | 1.10 Mn |
| Oct 31, 2022 | 1.00 Mn |
| Jul 31, 2022 | 900,000.00 |
| Apr 30, 2022 | 900,000.00 |
| Jan 31, 2022 | 900,000.00 |
| Oct 31, 2021 | 700,000.00 |
Ambarella Depreciation and Depletion 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=depreciation-and-depletion&ticker=AMBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();