Westlake (WLK) Total Non-Current Liabilities (2010 - 2026)
Westlake's Total Non-Current Liabilities was $9.71 billion in Q2 2026, up 0.7% from $9.64 billion a year earlier but down 4.4% from the prior quarter.
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Analysis
Westlake (WLK) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Westlake came in at $10.17 billion, up 8.9% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $9.35 billion in FY2024 (-5.9%), $9.93 billion in FY2023 (+1.6%), $9.77 billion in FY2022 (+0.9%) and $9.69 billion in FY2021 (+37.3%).
- Quarterly Total Non-Current Liabilities has moved between $9.03 billion (Q3 2021) and $10.22 billion (Q1 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with growth averaging 0.4% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2022 (growth of 45.7%); the worst was Q4 2024 (a decline of 5.9%).
- Per Business Quant data, WLK's Total Non-Current Liabilities in the three quarters before Q2 2026 was $10.16 billion (Q1 2026), $10.17 billion (Q4 2025) and $9.41 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 5.75 Bn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 13.30 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 3.41 Bn |
| 10 | Westlake | 7.80 Bn | -1.58 Bn | 652.00 Mn | 9.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.71 Bn |
| Mar 31, 2026 | 10.16 Bn |
| Dec 31, 2025 | 10.17 Bn |
| Sep 30, 2025 | 9.41 Bn |
| Jun 30, 2025 | 9.64 Bn |
| Mar 31, 2025 | 9.46 Bn |
| Dec 31, 2024 | 9.35 Bn |
| Sep 30, 2024 | 9.57 Bn |
| Jun 30, 2024 | 9.67 Bn |
| Mar 31, 2024 | 9.76 Bn |
| Dec 31, 2023 | 9.93 Bn |
| Sep 30, 2023 | 9.80 Bn |
| Jun 30, 2023 | 9.61 Bn |
| Mar 31, 2023 | 9.66 Bn |
| Dec 31, 2022 | 9.77 Bn |
| Sep 30, 2022 | 9.95 Bn |
| Jun 30, 2022 | 10.13 Bn |
| Mar 31, 2022 | 10.22 Bn |
| Dec 31, 2021 | 9.69 Bn |
| Sep 30, 2021 | 9.03 Bn |
API Access
Westlake Total Non-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-non-current-liabilities&ticker=WLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "WLK", "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-non-current-liabilities&ticker=WLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();