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 | 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 | 6.81 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | - |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 171.00 Mn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | - |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | - |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 3.04 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Ambarella | 2.65 Bn | 1.50 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();