Ecovyst (ECVT) Operating Expenses (2016 - 2026)
Ecovyst's Operating Expenses was $13.13 million in Q2 2026, up 94.0% from $6.77 million a year earlier and up 176.4% from the prior quarter.
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Analysis
Ecovyst (ECVT) Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ecovyst's Operating Expenses was $34.72 million through Jun 30, 2026, up 95.4% year-over-year; for FY2025, it came in at $27.19 million, up 111.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $12.86 million in FY2024 (-21.4%), $16.36 million in FY2023 (-53.1%), $34.91 million in FY2022 (+43.8%) and $24.27 million in FY2021 (+36.0%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q3 2019.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 72.8% over the last seven quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2025 (growth of 237.3%); the worst was Q2 2024 (a decline of 50.4%).
- Per Business Quant data, ECVT's Operating Expenses in the three quarters before Q2 2026 was $4.75 million (Q1 2026), $8.69 million (Q4 2025) and $8.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.83 Bn | 221.97 Bn | 4.44 Bn | 1.35 Bn |
| 2 | Corning | 99.72 Bn | 91.40 Bn | 1.81 Bn | 877.00 Mn |
| 3 | Sherwin Williams | 86.17 Bn | 85.18 Bn | 3.28 Bn | 2.07 Bn |
| 4 | Air Products & Chemicals | 69.05 Bn | 64.24 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 38.34 Bn | 26.40 Bn | 1.50 Bn | 7.43 Bn |
| 6 | Nutrien | 35.09 Bn | 31.62 Bn | 1.86 Bn | 158.00 Mn |
| 7 | Ppg Industries | 27.86 Bn | 20.78 Bn | 1.76 Bn | 1.12 Bn |
| 8 | Qnity Electronics | 26.20 Bn | 22.35 Bn | 743.00 Mn | 305.00 Mn |
| 9 | Ati | 25.21 Bn | 23.17 Bn | 380.20 Mn | 108.60 Mn |
| 10 | Ecovyst | 1.18 Bn | 658.43 Mn | 58.71 Mn | 9.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.04 Mn |
| Jun 30, 2026 | 13.13 Mn |
| Mar 31, 2026 | 4.75 Mn |
| Dec 31, 2025 | 8.69 Mn |
| Sep 30, 2025 | 8.14 Mn |
| Jun 30, 2025 | 6.77 Mn |
| Mar 31, 2025 | 3.58 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 2.41 Mn |
| Jun 30, 2024 | 3.11 Mn |
| Mar 31, 2024 | 3.67 Mn |
| Dec 31, 2023 | -925,000.00 |
| Sep 30, 2023 | 4.31 Mn |
| Jun 30, 2023 | 6.26 Mn |
| Mar 31, 2023 | 6.72 Mn |
| Dec 31, 2022 | 9.81 Mn |
| Sep 30, 2022 | 7.67 Mn |
| Jun 30, 2022 | 9.67 Mn |
| Mar 31, 2022 | 7.76 Mn |
| Dec 31, 2021 | 7.49 Mn |
API Access
Ecovyst 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=ECVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ECVT", "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=ECVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();