On Semiconductor (ON) Non Operating Interest Expenses (2009 - 2026)
On Semiconductor (ON) recorded Non Operating Interest Expenses of $13.7 million in Q2 2026, down 23.5% from $17.9 million a year earlier but up 7.9% from the prior quarter.
On Semiconductor (ON) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, On Semiconductor's Non Operating Interest Expenses came in at $61.4 million as of Jul 3, 2026, down 8.2% year-over-year; for FY2025, it was $70.9 million, up 13.8% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -15.9% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $62.3 million in FY2024 (-16.7%), $74.8 million in FY2023 (-21.2%), $94.9 million in FY2022 (-27.2%) and $130.4 million in FY2021 (-22.6%).
- Quarterly Non Operating Interest Expenses has ranged from $12.7 million in Q1 2026 to $32 million in Q4 2021 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses rose in four of the last eight quarters, with an average decline of 0.5%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 22.2% in Q1 2023, against a decline of 42.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.7 million (Q1 2026), $17.3 million (Q4 2025) and $17.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | -97.61 Mn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 778.00 Mn |
| 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 | 37.00 Mn |
| 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 | 68.00 Mn |
| 10 | On Semiconductor | 28.62 Bn | 16.93 Bn | 616.30 Mn | 13.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 13.70 Mn |
| Apr 3, 2026 | 12.70 Mn |
| Dec 31, 2025 | 17.30 Mn |
| Oct 3, 2025 | 17.70 Mn |
| Jul 4, 2025 | 17.90 Mn |
| Apr 4, 2025 | 18.00 Mn |
| Dec 31, 2024 | 15.30 Mn |
| Sep 27, 2024 | 15.70 Mn |
| Jun 28, 2024 | 15.70 Mn |
| Mar 29, 2024 | 15.60 Mn |
| Dec 31, 2023 | 15.80 Mn |
| Sep 29, 2023 | 16.20 Mn |
| Jun 30, 2023 | 16.40 Mn |
| Mar 31, 2023 | 26.40 Mn |
| Dec 31, 2022 | 27.50 Mn |
| Sep 30, 2022 | 23.70 Mn |
| Jul 1, 2022 | 22.10 Mn |
| Apr 1, 2022 | 21.60 Mn |
| Dec 31, 2021 | 32.00 Mn |
| Oct 1, 2021 | 31.90 Mn |
On Semiconductor Non Operating Interest 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=non-operating-interest-expenses&ticker=ON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();