Ceco Environmental (CECO) Cost of Revenue (2010 - 2026)
Ceco Environmental's Cost of Revenue was $198.49 million in Q2 2026, up 67.8% from $118.28 million a year earlier and up 39.8% from the prior quarter.
Ceco Environmental (CECO) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ceco Environmental's Cost of Revenue was $612.83 million through Jun 30, 2026, up 44.2% year-over-year; for FY2025, it was $505.16 million, up 39.6% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $361.79 million in FY2024 (-3.2%), $373.83 million in FY2023 (+27.0%), $294.4 million in FY2022 (+31.9%) and $223.22 million in FY2021 (+5.8%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2010.
- Compared with a year earlier, Cost of Revenue has increased for seven straight quarters, with growth averaging 29.6% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q2 2026 (growth of 67.8%); the worst was Q3 2024 (a decline of 15.1%).
- Per Business Quant data, CECO's Cost of Revenue in the three quarters before Q2 2026 was $142 million (Q1 2026), $139.32 million (Q4 2025) and $133.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 2.47 Bn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 1.37 Bn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 572.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 131.55 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | 198.49 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 125.12 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | 3.04 Mn |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | 1.00 Mn |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | - |
| 10 | LanzaTech Global | 79.06 Mn | -36.08 Mn | 1.91 Mn | 7.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 198.49 Mn |
| Mar 31, 2026 | 142.00 Mn |
| Dec 31, 2025 | 139.32 Mn |
| Sep 30, 2025 | 133.02 Mn |
| Jun 30, 2025 | 118.28 Mn |
| Mar 31, 2025 | 114.54 Mn |
| Dec 31, 2024 | 101.87 Mn |
| Sep 30, 2024 | 90.25 Mn |
| Jun 30, 2024 | 88.48 Mn |
| Mar 31, 2024 | 81.20 Mn |
| Dec 31, 2023 | 100.53 Mn |
| Sep 30, 2023 | 106.27 Mn |
| Jun 30, 2023 | 89.36 Mn |
| Mar 31, 2023 | 77.67 Mn |
| Dec 31, 2022 | 78.71 Mn |
| Sep 30, 2022 | 75.99 Mn |
| Jun 30, 2022 | 73.70 Mn |
| Mar 31, 2022 | 66.01 Mn |
| Dec 31, 2021 | 65.05 Mn |
| Sep 30, 2021 | 57.25 Mn |
Ceco Environmental Cost of Revenue 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=cost-of-revenue&ticker=CECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();