Koppers Holdings (KOP) Total Current Liabilities (2009 - 2026)
Koppers Holdings (KOP) reported Total Current Liabilities of $291.4 million for Q2 2026, up 7.0% from $272.3 million a year earlier and up 18.2% from the prior quarter.
Koppers Holdings (KOP) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Koppers Holdings posted Total Current Liabilities of $227.1 million, down 30.3% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $325.8 million in FY2024 (unchanged), $325.9 million in FY2023 (+0.6%), $324 million in FY2022 (+13.4%) and $285.7 million in FY2021 (-2.2%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities since Q4 2024.
- Year over year, Total Current Liabilities gained in 1 of the last eight quarters, with an average decline of 8.3%.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2022 (growth of 14.4%); the low point was Q4 2025 (a decline of 30.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $246.5 million (Q1 2026), $227.1 million (Q4 2025) and $259.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 16.13 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 6.02 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 9.63 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 4.58 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 7.11 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | - |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 1.41 Bn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 1.44 Bn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 5.23 Bn |
| 10 | Koppers Holdings | 799.17 Mn | 639.77 Mn | 109.00 Mn | 291.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 291.40 Mn |
| Mar 31, 2026 | 246.50 Mn |
| Dec 31, 2025 | 227.10 Mn |
| Sep 30, 2025 | 259.80 Mn |
| Jun 30, 2025 | 272.30 Mn |
| Mar 31, 2025 | 262.20 Mn |
| Dec 31, 2024 | 325.80 Mn |
| Sep 30, 2024 | 287.00 Mn |
| Jun 30, 2024 | 284.90 Mn |
| Mar 31, 2024 | 308.90 Mn |
| Dec 31, 2023 | 325.90 Mn |
| Sep 30, 2023 | 312.90 Mn |
| Jun 30, 2023 | 294.10 Mn |
| Mar 31, 2023 | 316.00 Mn |
| Dec 31, 2022 | 324.00 Mn |
| Sep 30, 2022 | 293.80 Mn |
| Jun 30, 2022 | 303.30 Mn |
| Mar 31, 2022 | 299.80 Mn |
| Dec 31, 2021 | 285.70 Mn |
| Sep 30, 2021 | 266.80 Mn |
Koppers Holdings Total Current Liabilities 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=total-current-liabilities&ticker=KOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=KOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();