Diodes (DIOD) Amortizatization of Intangibles (2019 - 2026)
Diodes (DIOD) recorded Amortizatization of Intangibles of $3.91 million in Q2 2026, down 33.0% from $5.84 million a year earlier and down 0.8% from the prior quarter.
Diodes (DIOD) Amortizatization of Intangibles (2019 - 2026) Analysis & Trends
On a TTM basis, Diodes' Amortizatization of Intangibles came in at $18.42 million as of Jun 30, 2026, down 10.1% year-over-year; for FY2025, it came in at $22.23 million, up 34.7% from FY2024.
- Annual Amortizatization of Intangibles has a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $16.5 million in FY2024 (+7.8%), $15.3 million in FY2023 (-2.0%), $15.61 million in FY2022 (-3.7%) and $16.22 million in FY2021 (-0.5%).
- The Q2 2026 figure is the lowest quarterly Amortizatization of Intangibles since Q3 2024.
- On a year-over-year basis, Amortizatization of Intangibles has declined for three consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 52.9% in Q1 2025, against a decline of 33.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.94 million (Q1 2026), $4.71 million (Q4 2025) and $5.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 2.04 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 544.00 Mn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 235.00 Mn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | - |
| 10 | Diodes | 3.88 Bn | 2.26 Bn | 147.57 Mn | 3.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.91 Mn |
| Mar 31, 2026 | 3.94 Mn |
| Dec 31, 2025 | 4.71 Mn |
| Sep 30, 2025 | 5.85 Mn |
| Jun 30, 2025 | 5.84 Mn |
| Mar 31, 2025 | 5.82 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 3.83 Mn |
| Jun 30, 2024 | 3.85 Mn |
| Mar 31, 2024 | 3.81 Mn |
| Dec 31, 2023 | 3.82 Mn |
| Sep 30, 2023 | 3.81 Mn |
| Jun 30, 2023 | 3.82 Mn |
| Mar 31, 2023 | 3.85 Mn |
| Dec 31, 2022 | 3.83 Mn |
| Sep 30, 2022 | 3.94 Mn |
| Jun 30, 2022 | 3.98 Mn |
| Mar 31, 2022 | 3.86 Mn |
| Dec 31, 2021 | 4.08 Mn |
| Sep 30, 2021 | 4.06 Mn |
Diodes Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=DIOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "DIOD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=DIOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();