On Semiconductor (ON) EBITDA (2009 - 2026)
On Semiconductor's EBITDA was $399.9 million in Q2 2026, up 14.3% from $349.8 million a year earlier and up 71.4% from the prior quarter.
On Semiconductor (ON) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, On Semiconductor's EBITDA was $1.46 billion through Jul 3, 2026, up 29.5% year-over-year; for FY2025, it was $770.2 million, down 68.0% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In earlier years, EBITDA was $2.41 billion in FY2024 (-23.4%), $3.15 billion in FY2023 (+8.1%), $2.91 billion in FY2022 (+54.5%) and $1.88 billion in FY2021 (+93.5%).
- Quarterly EBITDA has moved between -$405.5 million (Q1 2025) and $842.4 million (Q3 2023) over five years.
- Compared with a year earlier, EBITDA was higher in 1 of the last six quarters, with an average decline of 22.6%.
- The best year-over-year quarter for EBITDA over five years was Q1 2022 (growth of 182.1%); the worst was Q2 2025 (a decline of 36.2%).
- Per Business Quant data, ON's EBITDA in the three quarters before Q2 2026 was $233.3 million (Q1 2026), $415 million (Q4 2025) and $410.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 64.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 30.46 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 18.23 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 46.39 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 3.23 Bn |
| 10 | On Semiconductor | 28.62 Bn | 16.93 Bn | 616.30 Mn | 403.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 403.70 Mn |
| Apr 3, 2026 | 236.20 Mn |
| Dec 31, 2025 | 417.80 Mn |
| Oct 3, 2025 | 413.80 Mn |
| Jul 4, 2025 | 352.60 Mn |
| Apr 4, 2025 | -402.60 Mn |
| Dec 31, 2024 | 577.10 Mn |
| Sep 27, 2024 | 610.80 Mn |
| Jun 28, 2024 | 551.00 Mn |
| Mar 29, 2024 | 682.80 Mn |
| Dec 31, 2023 | 775.00 Mn |
| Sep 29, 2023 | 845.30 Mn |
| Jun 30, 2023 | 826.40 Mn |
| Mar 31, 2023 | 712.80 Mn |
| Dec 31, 2022 | 839.90 Mn |
| Sep 30, 2022 | 566.70 Mn |
| Jul 1, 2022 | 725.20 Mn |
| Apr 1, 2022 | 791.00 Mn |
| Dec 31, 2021 | 623.30 Mn |
| Oct 1, 2021 | 552.00 Mn |
On Semiconductor EBITDA 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=ebitda&ticker=ON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();