Entegris (ENTG) Operating Expenses (2010 - 2026)
Entegris (ENTG) recorded Operating Expenses of $209.3 million in Q2 2026, up 5.0% from $199.4 million a year earlier and up 8.5% from the prior quarter.
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Analysis
Entegris (ENTG) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Entegris' Operating Expenses came in at $794.3 million as of Jun 27, 2026, up 3.4% year-over-year; for FY2025, it was $779.6 million, up 2.2% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $762.7 million in FY2024 (-10.6%), $853.5 million in FY2023 (+10.5%), $772.48 million in FY2022 (+67.9%) and $460.04 million in FY2021 (+14.7%).
- Quarterly Operating Expenses has ranged from $113 million in Q3 2021 to $291.44 million in Q3 2022 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 1.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 157.9% in Q3 2022, against a decline of 37.3% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $192.9 million (Q1 2026), $209.4 million (Q4 2025) and $182.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,752.74 Bn | 5,526.91 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,454.32 Bn | 2,078.70 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,795.45 Bn | 1,721.49 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,226.14 Bn | 1,164.90 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,055.46 Bn | 1,012.21 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 701.18 Bn | 657.01 Bn | 5.90 Bn | - |
| 7 | Intel | 577.72 Bn | 446.85 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Applied Materials | 413.66 Bn | 379.10 Bn | 4.59 Bn | 1.51 Bn |
| 9 | Lam Research | 413.46 Bn | 390.26 Bn | 3.48 Bn | 965.25 Mn |
| 10 | Entegris | 25.46 Bn | 23.90 Bn | 420.00 Mn | 209.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 209.30 Mn |
| Mar 28, 2026 | 192.90 Mn |
| Dec 31, 2025 | 209.40 Mn |
| Sep 27, 2025 | 182.70 Mn |
| Jun 28, 2025 | 199.40 Mn |
| Mar 29, 2025 | 188.10 Mn |
| Dec 31, 2024 | 191.10 Mn |
| Sep 28, 2024 | 189.40 Mn |
| Jun 29, 2024 | 198.20 Mn |
| Mar 30, 2024 | 184.00 Mn |
| Dec 31, 2023 | 212.24 Mn |
| Sep 30, 2023 | 182.86 Mn |
| Jul 1, 2023 | 216.63 Mn |
| Apr 1, 2023 | 241.77 Mn |
| Dec 31, 2022 | 207.29 Mn |
| Oct 1, 2022 | 291.44 Mn |
| Jul 2, 2022 | 139.93 Mn |
| Apr 2, 2022 | 133.82 Mn |
| Dec 31, 2021 | 123.31 Mn |
| Oct 2, 2021 | 113.00 Mn |
API Access
Entegris 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=ENTG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ENTG", "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=ENTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();