Lsb Industries (LXU) Total Liabilities (2010 - 2026)
Lsb Industries (LXU) recorded Total Liabilities of $685.38 million in Q2 2026, up 8.4% from $632.28 million a year earlier and up 5.7% from the prior quarter.
Lsb Industries (LXU) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lsb Industries reported Total Liabilities of $653.57 million, down 6.0% from FY2024.
- Annual Total Liabilities has declined for three straight years, with a five-year compound annual growth rate of -6.3% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $695.55 million in FY2024 (-10.8%), $779.85 million in FY2023 (-15.6%), $923.95 million in FY2022 (+37.4%) and $672.35 million in FY2021 (-25.6%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q4 2024.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 5.3%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 42.2% in Q3 2022, against a decline of 26.7% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $648.41 million (Q1 2026), $653.57 million (Q4 2025) and $644.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 47.09 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 19.84 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 22.98 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 23.49 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | 26.94 Bn |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 13.95 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 6.83 Bn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 3.43 Bn |
| 10 | Lsb Industries | 777.94 Mn | 25.69 Mn | 43.10 Mn | 666.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 666.41 Mn |
| Jun 30, 2026 | 685.38 Mn |
| Mar 31, 2026 | 648.41 Mn |
| Dec 31, 2025 | 653.57 Mn |
| Sep 30, 2025 | 644.94 Mn |
| Jun 30, 2025 | 632.28 Mn |
| Mar 31, 2025 | 685.38 Mn |
| Dec 31, 2024 | 695.55 Mn |
| Sep 30, 2024 | 683.97 Mn |
| Jun 30, 2024 | 666.27 Mn |
| Mar 31, 2024 | 741.93 Mn |
| Dec 31, 2023 | 779.85 Mn |
| Sep 30, 2023 | 759.46 Mn |
| Jun 30, 2023 | 762.34 Mn |
| Mar 31, 2023 | 915.82 Mn |
| Dec 31, 2022 | 923.95 Mn |
| Sep 30, 2022 | 926.59 Mn |
| Jun 30, 2022 | 898.16 Mn |
| Mar 31, 2022 | 890.00 Mn |
| Dec 31, 2021 | 672.35 Mn |
Lsb Industries Total 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-liabilities&ticker=LXU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LXU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();