Westlake Chemical Partners (WLKP) EBITDA (2013 - 2026)
Westlake Chemical Partners' EBITDA was $122.34 million in Q2 2026, down 1.1% from $123.72 million a year earlier but up 1.2% from the prior quarter.
Westlake Chemical Partners (WLKP) EBITDA (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Westlake Chemical Partners' EBITDA was $493.37 million through Jun 30, 2026, up 8.5% year-over-year; for FY2025, it was $447.56 million, down 10.9% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In earlier years, EBITDA was $502.34 million in FY2024 (+7.4%), $467.91 million in FY2023 (-0.2%), $468.76 million in FY2022 (-9.8%) and $519.5 million in FY2021 (+13.9%).
- Quarterly EBITDA has moved between $73.68 million (Q1 2025) and $166.75 million (Q4 2021) over five years.
- Compared with a year earlier, EBITDA was higher in four of the last eight quarters, with growth averaging 4.8%.
- The best year-over-year quarter for EBITDA over five years was Q1 2026 (growth of 64.1%); the worst was Q1 2025 (a decline of 40.1%).
- Per Business Quant data, WLKP's EBITDA in the three quarters before Q2 2026 was $120.87 million (Q1 2026), $124.31 million (Q4 2025) and $125.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 3.52 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 1.09 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 1.42 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | -1.71 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 1.89 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 2.38 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 796.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 376.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 1.59 Bn |
| 10 | Westlake Chemical Partners | 738.40 Mn | 562.59 Mn | 94.81 Mn | 122.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.34 Mn |
| Mar 31, 2026 | 120.87 Mn |
| Dec 31, 2025 | 124.31 Mn |
| Sep 30, 2025 | 125.85 Mn |
| Jun 30, 2025 | 123.72 Mn |
| Mar 31, 2025 | 73.68 Mn |
| Dec 31, 2024 | 119.50 Mn |
| Sep 30, 2024 | 137.80 Mn |
| Jun 30, 2024 | 121.94 Mn |
| Mar 31, 2024 | 123.10 Mn |
| Dec 31, 2023 | 121.12 Mn |
| Sep 30, 2023 | 114.47 Mn |
| Jun 30, 2023 | 107.53 Mn |
| Mar 31, 2023 | 124.80 Mn |
| Dec 31, 2022 | 124.67 Mn |
| Sep 30, 2022 | 111.21 Mn |
| Jun 30, 2022 | 118.39 Mn |
| Mar 31, 2022 | 114.49 Mn |
| Dec 31, 2021 | 166.75 Mn |
| Sep 30, 2021 | 94.72 Mn |
Westlake Chemical Partners EBITDA 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=ebitda&ticker=WLKP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "WLKP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=WLKP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();