NXP Semiconductors (NXPI) Operating Expenses (2018 - 2026)
NXP Semiconductors' Operating Expenses was $926 million in Q2 2026, up 5.7% from $876 million a year earlier and up 2.4% from the prior quarter.
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Analysis
NXP Semiconductors (NXPI) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, NXP Semiconductors' Operating Expenses was $3.78 billion through Jun 28, 2026, up 6.0% year-over-year; for FY2025, it was $3.68 billion, up 0.9% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $3.65 billion in FY2024 (-5.9%), $3.88 billion in FY2023 (+4.1%), $3.72 billion in FY2022 (+6.9%) and $3.48 billion in FY2021 (-11.4%).
- Quarterly Operating Expenses has moved between $855 million (Q1 2025) and $1.06 billion (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with an average decline of 0.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 12.6%); the worst was Q3 2021 (a decline of 17.7%).
- Per Business Quant data, NXPI's Operating Expenses in the three quarters before Q2 2026 was $904 million (Q1 2026), $1.06 billion (Q4 2025) and $892 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | NXP Semiconductors | 61.44 Bn | 48.15 Bn | 2.00 Bn | 926.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 926.00 Mn |
| Mar 29, 2026 | 904.00 Mn |
| Dec 31, 2025 | 1.06 Bn |
| Sep 28, 2025 | 892.00 Mn |
| Jun 29, 2025 | 876.00 Mn |
| Mar 30, 2025 | 855.00 Mn |
| Dec 31, 2024 | 963.00 Mn |
| Sep 29, 2024 | 871.00 Mn |
| Jun 30, 2024 | 892.00 Mn |
| Mar 31, 2024 | 921.00 Mn |
| Dec 31, 2023 | 1.03 Bn |
| Oct 1, 2023 | 966.00 Mn |
| Jul 2, 2023 | 944.00 Mn |
| Apr 2, 2023 | 942.00 Mn |
| Dec 31, 2022 | 910.00 Mn |
| Oct 2, 2022 | 968.00 Mn |
| Jul 3, 2022 | 941.00 Mn |
| Apr 3, 2022 | 904.00 Mn |
| Dec 31, 2021 | 900.00 Mn |
| Oct 3, 2021 | 872.00 Mn |
API Access
NXP Semiconductors 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=NXPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NXPI", "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=NXPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();