Diodes (DIOD) Accumulated Expenses (2009 - 2026)
Diodes (DIOD) recorded Accumulated Expenses of $191.1 million in Q2 2026, up 10.2% from $173.35 million a year earlier and up 6.4% from the prior quarter.
Powered by 
Analysis
Diodes (DIOD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Diodes reported Accumulated Expenses of $170.26 million, down 8.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $186.58 million in FY2024 (+3.8%), $179.67 million in FY2023 (-16.2%), $214.43 million in FY2022 (+16.1%) and $184.65 million in FY2021 (+15.3%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses since Q3 2023.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 1.2%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 74.2% in Q3 2021, against a decline of 16.3% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $179.59 million (Q1 2026), $170.26 million (Q4 2025) and $175.24 million (Q3 2025).
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 |
|---|---|
| Jun 30, 2026 | 191.10 Mn |
| Mar 31, 2026 | 179.59 Mn |
| Dec 31, 2025 | 170.26 Mn |
| Sep 30, 2025 | 175.24 Mn |
| Jun 30, 2025 | 173.35 Mn |
| Mar 31, 2025 | 169.33 Mn |
| Dec 31, 2024 | 186.58 Mn |
| Sep 30, 2024 | 161.88 Mn |
| Jun 30, 2024 | 167.44 Mn |
| Mar 31, 2024 | 164.57 Mn |
| Dec 31, 2023 | 179.67 Mn |
| Sep 30, 2023 | 193.38 Mn |
| Jun 30, 2023 | 198.88 Mn |
| Mar 31, 2023 | 176.95 Mn |
| Dec 31, 2022 | 214.43 Mn |
| Sep 30, 2022 | 220.50 Mn |
| Jun 30, 2022 | 205.15 Mn |
| Mar 31, 2022 | 167.39 Mn |
| Dec 31, 2021 | 184.65 Mn |
| Sep 30, 2021 | 179.91 Mn |
API Access
Diodes Accumulated Expenses 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=accumulated-expenses&ticker=DIOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DIOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();