NXP Semiconductors (NXPI) Accumulated Expenses (2009 - 2026)
NXP Semiconductors (NXPI) posted Accumulated Expenses of $83 million for Q3 2026, up 69.4% from $49 million a year earlier but down 25.2% from the prior quarter.
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Analysis
NXP Semiconductors (NXPI) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, NXP Semiconductors' Accumulated Expenses came in at $189 million, up 28.6% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 25.8% (FY2020 to FY2025).
- In prior years, NXP Semiconductors' Accumulated Expenses was $147 million in FY2024 (+59.8%), $92 million in FY2023 (+384.2%), $19 million in FY2022 (-24.0%) and $25 million in FY2021 (-58.3%).
- Quarterly Accumulated Expenses has run from a low of $8 million in Q3 2022 to a high of $189 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 39.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2023, with growth of 384.2%; the weakest was Q3 2022, with a decline of 73.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $111 million (Q2 2026), $133 million (Q1 2026) and $189 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | NXP Semiconductors | 66.82 Bn | 53.05 Bn | 2.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 83.00 Mn |
| Jun 28, 2026 | 111.00 Mn |
| Mar 29, 2026 | 133.00 Mn |
| Dec 31, 2025 | 189.00 Mn |
| Sep 28, 2025 | 49.00 Mn |
| Jun 29, 2025 | 65.00 Mn |
| Mar 30, 2025 | 75.00 Mn |
| Dec 31, 2024 | 147.00 Mn |
| Sep 29, 2024 | 52.00 Mn |
| Jun 30, 2024 | 62.00 Mn |
| Mar 31, 2024 | 68.00 Mn |
| Dec 31, 2023 | 92.00 Mn |
| Oct 1, 2023 | 16.00 Mn |
| Jul 2, 2023 | 23.00 Mn |
| Apr 2, 2023 | 27.00 Mn |
| Dec 31, 2022 | 19.00 Mn |
| Oct 2, 2022 | 8.00 Mn |
| Jul 3, 2022 | 12.00 Mn |
| Apr 3, 2022 | 16.00 Mn |
| Dec 31, 2021 | 25.00 Mn |
API Access
NXP Semiconductors 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=NXPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NXPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();