Lsb Industries (LXU) Total Non-Current Liabilities (2010 - 2026)
Lsb Industries' Total Non-Current Liabilities came in at $684.85 million for Q2 2026, up 8.4% from $631.83 million a year earlier and up 5.7% from the prior quarter.
Lsb Industries (LXU) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lsb Industries' Total Non-Current Liabilities was $653.03 million, down 6.1% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -6.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $695.09 million in FY2024 (-10.8%), $779.33 million in FY2023 (-15.6%), $923.42 million in FY2022 (+38.0%) and $669.32 million in FY2021 (-25.4%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2025.
- Year-over-year, Total Non-Current Liabilities increased in 1 of the last eight quarters, with an average decline of 5.3%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2022 (growth of 43.0%), and the weakest in Q3 2021 (a decline of 26.7%).
- Business Quant data shows LXU's Total Non-Current Liabilities at $647.87 million (Q1 2026), $653.03 million (Q4 2025) and $644.48 million (Q3 2025) in the three quarters before Q2 2026.
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 | Lsb Industries | 748.66 Mn | 48.14 Mn | 11.46 Mn | 684.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 684.85 Mn |
| Mar 31, 2026 | 647.87 Mn |
| Dec 31, 2025 | 653.03 Mn |
| Sep 30, 2025 | 644.48 Mn |
| Jun 30, 2025 | 631.83 Mn |
| Mar 31, 2025 | 684.92 Mn |
| Dec 31, 2024 | 695.09 Mn |
| Sep 30, 2024 | 683.45 Mn |
| Jun 30, 2024 | 665.74 Mn |
| Mar 31, 2024 | 741.41 Mn |
| Dec 31, 2023 | 779.33 Mn |
| Sep 30, 2023 | 758.94 Mn |
| Jun 30, 2023 | 761.82 Mn |
| Mar 31, 2023 | 915.30 Mn |
| Dec 31, 2022 | 923.42 Mn |
| Sep 30, 2022 | 926.07 Mn |
| Jun 30, 2022 | 897.63 Mn |
| Mar 31, 2022 | 886.98 Mn |
| Dec 31, 2021 | 669.32 Mn |
| Sep 30, 2021 | 647.44 Mn |
Lsb Industries 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=LXU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LXU", "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=LXU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();