On Semiconductor (ON) Restructuring Costs (2009 - 2026)
On Semiconductor (ON) recorded Restructuring Costs of $41.2 million in Q2 2026, down 16.3% from $49.2 million a year earlier and down 87.5% from the prior quarter.
On Semiconductor (ON) Restructuring Costs (2009 - 2026) Analysis & Trends
On a TTM basis, On Semiconductor's Restructuring Costs came in at $448.9 million as of Jul 3, 2026, down 30.8% year-over-year; for FY2025, it came in at $666.9 million, up 398.1% from FY2024.
- Annual Restructuring Costs has increased for three straight years, with a five-year compound annual growth rate of 59.2% (FY2020 to FY2025).
- Across earlier years, Restructuring Costs came in at $133.9 million in FY2024 (+78.8%), $74.9 million in FY2023 (+318.4%), $17.9 million in FY2022 (-74.9%) and $71.4 million in FY2021 (+9.5%).
- Quarterly Restructuring Costs has ranged from -$13 million in Q1 2022 to $539.3 million in Q1 2025 over the past five years.
- On a year-over-year basis, Restructuring Costs rose in three of the last seven quarters, with growth averaging 50.1%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 209.6% in Q3 2024, against a decline of 97.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $329.3 million (Q1 2026), $58.8 million (Q4 2025) and $19.6 million (Q3 2025).
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 | On Semiconductor | 28.62 Bn | 16.93 Bn | 616.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 41.20 Mn |
| Apr 3, 2026 | 329.30 Mn |
| Dec 31, 2025 | 58.80 Mn |
| Oct 3, 2025 | 19.60 Mn |
| Jul 4, 2025 | 49.20 Mn |
| Apr 4, 2025 | 539.30 Mn |
| Dec 31, 2024 | 30.90 Mn |
| Sep 27, 2024 | 29.10 Mn |
| Jun 28, 2024 | 72.50 Mn |
| Mar 29, 2024 | 1.40 Mn |
| Dec 31, 2023 | 11.40 Mn |
| Sep 29, 2023 | 9.40 Mn |
| Jun 30, 2023 | 2.60 Mn |
| Mar 31, 2023 | 51.50 Mn |
| Dec 31, 2022 | -7.70 Mn |
| Sep 30, 2022 | 40.30 Mn |
| Jul 1, 2022 | -1.70 Mn |
| Apr 1, 2022 | -13.00 Mn |
| Dec 31, 2021 | 13.10 Mn |
| Oct 1, 2021 | -1.70 Mn |
On Semiconductor 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=ON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();