Diodes (DIOD) Restructuring Costs (2017 - 2025)
Diodes' Restructuring Costs was $51,000 in Q4 2025, down 90.8% from $552,000 a year earlier but up 466.7% from the prior quarter.
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Analysis
Diodes (DIOD) Restructuring Costs (2017 - 2025) Analysis & Trends
For FY2025, Restructuring Costs at Diodes came in at $394,000, down 95.4% from FY2024.
- In earlier years, Restructuring Costs was $8.59 million in FY2024 (+442.7%) and $1.58 million in FY2023.
- Quarterly Restructuring Costs has moved between -$983,000 (Q4 2023) and $8.25 million (Q2 2024) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 51,000.00 |
| Sep 30, 2025 | 9,000.00 |
| Jun 30, 2025 | 68,000.00 |
| Dec 31, 2024 | 552,000.00 |
| Sep 30, 2024 | -211,000.00 |
| Jun 30, 2024 | 8.25 Mn |
| Dec 31, 2023 | -983,000.00 |
| Sep 30, 2023 | 2.57 Mn |
| Jun 30, 2018 | 526,000.00 |
| Mar 31, 2018 | -320,000.00 |
| Dec 31, 2017 | 4.03 Mn |
| Sep 30, 2017 | 2.04 Mn |
| Jun 30, 2017 | 1.84 Mn |
| Mar 31, 2017 | 2.23 Mn |
API Access
Diodes Restructuring Costs 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=restructuring-costs&ticker=DIOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=DIOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();