Navitas Semiconductor (NVTS) Depreciation and Depletion (2021 - 2026)
Navitas Semiconductor's Depreciation and Depletion was $730,000 in Q3 2026, down 18.9% from $900,000 a year earlier and down 18.1% from the prior quarter.
Navitas Semiconductor (NVTS) Depreciation and Depletion (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Navitas Semiconductor's Depreciation and Depletion was $3.54 million through Sep 30, 2026, up 3.8% year-over-year; for FY2025, it came in at $3.5 million, up 16.7% from FY2024.
- Depreciation and Depletion has now increased for five consecutive years, with a five-year compound annual growth rate of 59.0% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $3 million in FY2024 (+36.4%), $2.2 million in FY2023 (+120.0%), $1 million in FY2022 (+143.9%) and $410,000 in FY2021 (+19.2%).
- The Q3 2026 figure marks the lowest quarterly Depreciation and Depletion since Q2 2024.
- Compared with a year earlier, Depreciation and Depletion was higher in six of the last eight quarters, with growth averaging 13.2%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q1 2023 (growth of 304.8%); the worst was Q3 2026 (a decline of 18.9%).
- Per Business Quant data, NVTS's Depreciation and Depletion in the three quarters before Q3 2026 was $891,000 (Q2 2026), $978,000 (Q1 2026) and $942,000 (Q4 2025).
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 | Navitas Semiconductor | 2.35 Bn | 799.61 Mn | 5.51 Mn | 730,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 730,000.00 |
| Jun 30, 2026 | 891,000.00 |
| Mar 31, 2026 | 978,000.00 |
| Dec 31, 2025 | 942,000.00 |
| Sep 30, 2025 | 900,000.00 |
| Jun 30, 2025 | 900,000.00 |
| Mar 31, 2025 | 807,000.00 |
| Dec 31, 2024 | 803,000.00 |
| Sep 30, 2024 | 800,000.00 |
| Jun 30, 2024 | 700,000.00 |
| Mar 31, 2024 | 722,000.00 |
| Dec 31, 2023 | 600,000.00 |
| Sep 30, 2023 | 600,000.00 |
| Jun 30, 2023 | 500,000.00 |
| Mar 31, 2023 | 506,000.00 |
| Dec 31, 2022 | 368,000.00 |
| Sep 30, 2022 | 300,000.00 |
| Jun 30, 2022 | 200,000.00 |
| Mar 31, 2022 | 125,000.00 |
| Dec 31, 2021 | 132,000.00 |
Navitas Semiconductor 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=NVTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "NVTS", "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=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();