Lsb Industries (LXU) Total Current Liabilities (2010 - 2026)
Lsb Industries' Total Current Liabilities came in at $113.91 million for Q3 2026, up 19.5% from $95.3 million a year earlier but down 20.0% from the prior quarter.
Lsb Industries (LXU) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lsb Industries' Total Current Liabilities was $105.51 million, down 22.2% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $135.63 million in FY2024 (+14.4%), $118.53 million in FY2023 (-16.7%), $142.31 million in FY2022 (+35.6%) and $104.93 million in FY2021 (-2.2%).
- The five-year range for quarterly Total Current Liabilities is $95.3 million (Q3 2025) to $147.64 million (Q3 2022).
- Year-over-year, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 4.0%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2026 (growth of 47.6%), and the weakest in Q3 2023 (a decline of 32.5%).
- Business Quant data shows LXU's Total Current Liabilities at $142.47 million (Q2 2026), $104.56 million (Q1 2026) and $105.51 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 15.64 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 6.59 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 9.85 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 4.58 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 6.79 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | 11.04 Bn |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 5.22 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 1.54 Bn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 1.10 Bn |
| 10 | Lsb Industries | 777.94 Mn | 25.69 Mn | 43.10 Mn | 113.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 113.91 Mn |
| Jun 30, 2026 | 142.47 Mn |
| Mar 31, 2026 | 104.56 Mn |
| Dec 31, 2025 | 105.51 Mn |
| Sep 30, 2025 | 95.30 Mn |
| Jun 30, 2025 | 96.51 Mn |
| Mar 31, 2025 | 119.47 Mn |
| Dec 31, 2024 | 135.63 Mn |
| Sep 30, 2024 | 124.35 Mn |
| Jun 30, 2024 | 97.31 Mn |
| Mar 31, 2024 | 109.64 Mn |
| Dec 31, 2023 | 118.53 Mn |
| Sep 30, 2023 | 99.68 Mn |
| Jun 30, 2023 | 96.22 Mn |
| Mar 31, 2023 | 130.67 Mn |
| Dec 31, 2022 | 142.31 Mn |
| Sep 30, 2022 | 147.64 Mn |
| Jun 30, 2022 | 117.29 Mn |
| Mar 31, 2022 | 123.59 Mn |
| Dec 31, 2021 | 104.93 Mn |
Lsb Industries 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=LXU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=LXU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();