On Semiconductor (ON) Operating Expenses (2009 - 2026)
On Semiconductor (ON) posted Operating Expenses of $357.7 million for Q2 2026, down 0.2% from $358.5 million a year earlier and down 43.8% from the prior quarter.
On Semiconductor (ON) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Operating Expenses at On Semiconductor was $1.67 billion, down 14.5% year-over-year; for FY2025, it came in at $1.9 billion, up 31.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In prior years, On Semiconductor's Operating Expenses was $1.45 billion in FY2024 (+7.7%), $1.34 billion in FY2023 (-21.7%), $1.72 billion in FY2022 (+20.4%) and $1.43 billion in FY2021 (+4.4%).
- Quarterly Operating Expenses has run from a low of $314.1 million in Q1 2022 to a high of $867.5 million in Q1 2025 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with growth averaging 16.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2025, with growth of 164.2%; the weakest was Q3 2023, with a decline of 45.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $636.5 million (Q1 2026), $350.9 million (Q4 2025) and $322.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 2.77 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 1.51 Bn |
| 10 | On Semiconductor | 28.62 Bn | 16.93 Bn | 616.30 Mn | 357.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 357.70 Mn |
| Apr 3, 2026 | 636.50 Mn |
| Dec 31, 2025 | 350.90 Mn |
| Oct 3, 2025 | 322.80 Mn |
| Jul 4, 2025 | 358.50 Mn |
| Apr 4, 2025 | 867.50 Mn |
| Dec 31, 2024 | 370.50 Mn |
| Sep 27, 2024 | 354.00 Mn |
| Jun 28, 2024 | 395.50 Mn |
| Mar 29, 2024 | 328.40 Mn |
| Dec 31, 2023 | 329.80 Mn |
| Sep 29, 2023 | 343.70 Mn |
| Jun 30, 2023 | 318.70 Mn |
| Mar 31, 2023 | 352.60 Mn |
| Dec 31, 2022 | 316.20 Mn |
| Sep 30, 2022 | 633.80 Mn |
| Jul 1, 2022 | 453.10 Mn |
| Apr 1, 2022 | 314.10 Mn |
| Dec 31, 2021 | 351.90 Mn |
| Oct 1, 2021 | 321.60 Mn |
On Semiconductor Operating 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=operating-expenses&ticker=ON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ON", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();