Enovix (ENVX) Operating Expenses (2020 - 2026)
Enovix (ENVX) posted Operating Expenses of $44.6 million for Q2 2026, down 2.4% from $45.68 million a year earlier and down 1.9% from the prior quarter.
Enovix (ENVX) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Operating Expenses at Enovix was $184.91 million, up 7.1% year-over-year; for FY2025, it came in at $183.36 million, down 23.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 55.5% (FY2020 to FY2025).
- In prior years, Enovix's Operating Expenses was $240.62 million in FY2024 (+37.6%), $174.84 million in FY2023 (+52.1%) and $114.94 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 5.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 134.0%; the weakest was Q2 2025, with a decline of 48.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $45.45 million (Q1 2026), $46.49 million (Q4 2025) and $48.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 1.71 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 191.66 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 166.95 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 137.77 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 846.88 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 355.46 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 174.80 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 148.18 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 114.30 Mn |
| 10 | Enovix | 349.36 Mn | -1.57 Bn | 3.33 Mn | 42.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2026 | 42.62 Mn |
| Jul 5, 2026 | 44.60 Mn |
| Apr 5, 2026 | 45.45 Mn |
| Dec 28, 2025 | 46.49 Mn |
| Sep 28, 2025 | 48.37 Mn |
| Jun 29, 2025 | 45.68 Mn |
| Mar 30, 2025 | 42.82 Mn |
| Dec 29, 2024 | 35.57 Mn |
| Sep 29, 2024 | 48.63 Mn |
| Jun 30, 2024 | 88.10 Mn |
| Mar 31, 2024 | 68.34 Mn |
| Dec 31, 2023 | 52.39 Mn |
| Oct 1, 2023 | 33.77 Mn |
| Jul 2, 2023 | 37.65 Mn |
| Apr 2, 2023 | 51.02 Mn |
| Oct 2, 2022 | 27.06 Mn |
| Jul 3, 2022 | 27.39 Mn |
| Apr 3, 2022 | 24.60 Mn |
| Dec 31, 2021 | -31.41 Mn |
| Oct 3, 2021 | 19.09 Mn |
Enovix 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=ENVX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ENVX", "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=ENVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();