On Semiconductor (ON) Accumulated Expenses (2009 - 2026)
On Semiconductor (ON) reported Accumulated Expenses of $801 million for Q2 2026, up 1.4% from $790 million a year earlier and up 14.6% from the prior quarter.
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Analysis
On Semiconductor (ON) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, On Semiconductor posted Accumulated Expenses of $714.9 million, down 5.9% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $760 million in FY2024 (+14.6%), $663.2 million in FY2023 (-36.7%), $1.05 billion in FY2022 (+42.5%) and $734.9 million in FY2021 (+28.9%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses since Q4 2022.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 5.0%.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2022 (growth of 42.5%); the low point was Q4 2023 (a decline of 36.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $698.7 million (Q1 2026), $714.9 million (Q4 2025) and $730.8 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 | On Semiconductor | 28.62 Bn | 16.93 Bn | 616.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 801.00 Mn |
| Apr 3, 2026 | 698.70 Mn |
| Dec 31, 2025 | 714.90 Mn |
| Oct 3, 2025 | 730.80 Mn |
| Jul 4, 2025 | 790.00 Mn |
| Apr 4, 2025 | 781.30 Mn |
| Dec 31, 2024 | 760.00 Mn |
| Sep 27, 2024 | 734.30 Mn |
| Jun 28, 2024 | 684.30 Mn |
| Mar 29, 2024 | 678.10 Mn |
| Dec 31, 2023 | 663.20 Mn |
| Sep 29, 2023 | 665.40 Mn |
| Jun 30, 2023 | 654.10 Mn |
| Mar 31, 2023 | 666.00 Mn |
| Dec 31, 2022 | 1.05 Bn |
| Sep 30, 2022 | 766.70 Mn |
| Jul 1, 2022 | 754.30 Mn |
| Apr 1, 2022 | 670.40 Mn |
| Dec 31, 2021 | 734.90 Mn |
| Oct 1, 2021 | 641.80 Mn |
API Access
On Semiconductor 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=ON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();