Koppers Holdings (KOP) Cost of Revenue (2009 - 2026)
Koppers Holdings' Cost of Revenue was $411.1 million in Q2 2026, up 5.2% from $390.6 million a year earlier and up 11.5% from the prior quarter.
Koppers Holdings (KOP) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Koppers Holdings' Cost of Revenue was $1.47 billion through Jun 30, 2026, down 6.2% year-over-year; for FY2025, it came in at $1.43 billion, down 14.3% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $1.67 billion in FY2024 (-3.5%), $1.73 billion in FY2023 (+5.7%), $1.64 billion in FY2022 (+21.7%) and $1.34 billion in FY2021 (+2.7%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue since Q3 2024.
- Compared with a year earlier, Cost of Revenue was higher in two of the last eight quarters, with an average decline of 6.7%.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2022 (growth of 26.0%); the worst was Q4 2025 (a decline of 18.2%).
- Per Business Quant data, KOP's Cost of Revenue in the three quarters before Q2 2026 was $368.7 million (Q1 2026), $321.9 million (Q4 2025) and $368.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn | 4.86 Bn |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn | 2.88 Bn |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn | 3.45 Bn |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn | 2.13 Bn |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn | 7.14 Bn |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn | 7.36 Bn |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn | 2.69 Bn |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn | 1.10 Bn |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn | 9.89 Bn |
| 10 | Koppers Holdings | 759.87 Mn | 600.47 Mn | 109.00 Mn | 411.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 411.10 Mn |
| Mar 31, 2026 | 368.70 Mn |
| Dec 31, 2025 | 321.90 Mn |
| Sep 30, 2025 | 368.30 Mn |
| Jun 30, 2025 | 390.60 Mn |
| Mar 31, 2025 | 350.70 Mn |
| Dec 31, 2024 | 393.40 Mn |
| Sep 30, 2024 | 433.10 Mn |
| Jun 30, 2024 | 441.60 Mn |
| Mar 31, 2024 | 401.40 Mn |
| Dec 31, 2023 | 416.70 Mn |
| Sep 30, 2023 | 439.00 Mn |
| Jun 30, 2023 | 464.70 Mn |
| Mar 31, 2023 | 409.30 Mn |
| Dec 31, 2022 | 406.50 Mn |
| Sep 30, 2022 | 439.70 Mn |
| Jun 30, 2022 | 419.40 Mn |
| Mar 31, 2022 | 370.30 Mn |
| Dec 31, 2021 | 332.40 Mn |
| Sep 30, 2021 | 348.90 Mn |
Koppers Holdings 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=KOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "KOP", "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=KOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();