Ceco Environmental (CECO) Non Operating Interest Expenses (2010 - 2026)
Ceco Environmental's Non Operating Interest Expenses came in at $9.1 million for Q2 2026, up 85.8% from $4.9 million a year earlier and up 115.2% from the prior quarter.
Ceco Environmental (CECO) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ceco Environmental reported Non Operating Interest Expenses of $23.13 million, up 32.4% year-over-year; for FY2025, it was $20.91 million, up 60.6% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 42.7% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $13.02 million in FY2024 (-3.0%), $13.42 million in FY2023 (+147.6%), $5.42 million in FY2022 (+83.6%) and $2.95 million in FY2021 (-16.5%).
- The Q2 2026 figure represents the highest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- Year-over-year, Non Operating Interest Expenses increased in five of the last eight quarters, with growth averaging 34.9%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2023 (growth of 241.5%), and the weakest in Q1 2026 (a decline of 32.0%).
- Business Quant data shows CECO's Non Operating Interest Expenses at $4.23 million (Q1 2026), $4.74 million (Q4 2025) and $5.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | -73.10 Mn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 7.00 Mn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 27.00 Mn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | - |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 9.10 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 320,000.00 |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | - |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 2.90 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | - |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.10 Mn |
| Mar 31, 2026 | 4.23 Mn |
| Dec 31, 2025 | 4.74 Mn |
| Sep 30, 2025 | 5.05 Mn |
| Jun 30, 2025 | 4.90 Mn |
| Mar 31, 2025 | 6.22 Mn |
| Dec 31, 2024 | 3.71 Mn |
| Sep 30, 2024 | 2.65 Mn |
| Jun 30, 2024 | 3.25 Mn |
| Mar 31, 2024 | 3.41 Mn |
| Dec 31, 2023 | 3.92 Mn |
| Sep 30, 2023 | 3.34 Mn |
| Jun 30, 2023 | 3.75 Mn |
| Mar 31, 2023 | 2.41 Mn |
| Dec 31, 2022 | 1.93 Mn |
| Sep 30, 2022 | 1.57 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 822,000.00 |
| Dec 31, 2021 | 800,000.00 |
| Sep 30, 2021 | 722,000.00 |
Ceco Environmental 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=CECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CECO", "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=CECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();