Ecovyst (ECVT) Non Operating Interest Expenses (2016 - 2026)
Ecovyst (ECVT) recorded Non Operating Interest Expenses of $3.46 million in Q2 2026, down 59.1% from $8.46 million a year earlier but up 9.2% from the prior quarter.
Ecovyst (ECVT) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Ecovyst's Non Operating Interest Expenses came in at $24.4 million as of Jun 30, 2026, down 28.5% year-over-year; for FY2025, it came in at $34.2 million, down 6.3% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $36.49 million in FY2024 (+15.1%), $31.7 million in FY2023 (-14.8%), $37.22 million in FY2022 (+0.6%) and $36.99 million in FY2021 (-26.6%).
- Quarterly Non Operating Interest Expenses has ranged from $885,000 in Q4 2023 to $13.41 million in Q1 2024 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses has declined for three consecutive quarters, with growth averaging 93.0% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 964.4% in Q4 2024, against a decline of 91.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.17 million (Q1 2026), $9.4 million (Q4 2025) and $8.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 61.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 94.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 135.90 Mn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 49.40 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 47.00 Mn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 138.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 173.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 61.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | - |
| 10 | Ecovyst | 1.07 Bn | 544.40 Mn | 49.85 Mn | 3.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.46 Mn |
| Mar 31, 2026 | 3.17 Mn |
| Dec 31, 2025 | 9.40 Mn |
| Sep 30, 2025 | 8.37 Mn |
| Jun 30, 2025 | 8.46 Mn |
| Mar 31, 2025 | 8.35 Mn |
| Dec 31, 2024 | 9.42 Mn |
| Sep 30, 2024 | 7.91 Mn |
| Jun 30, 2024 | 12.90 Mn |
| Mar 31, 2024 | 13.41 Mn |
| Dec 31, 2023 | 885,000.00 |
| Sep 30, 2023 | 11.81 Mn |
| Jun 30, 2023 | 9.17 Mn |
| Mar 31, 2023 | 9.83 Mn |
| Dec 31, 2022 | 10.34 Mn |
| Sep 30, 2022 | 9.54 Mn |
| Jun 30, 2022 | 8.89 Mn |
| Mar 31, 2022 | 8.45 Mn |
| Dec 31, 2021 | 8.79 Mn |
| Sep 30, 2021 | 9.01 Mn |
Ecovyst Non Operating Interest 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=non-operating-interest-expenses&ticker=ECVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ECVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();