Lsb Industries (LXU) Non-Current Assets (2010 - 2026)
Lsb Industries (LXU) recorded Non-Current Assets of $879.03 million in Q2 2026, up 0.7% from $872.87 million a year earlier and up 1.0% from the prior quarter.
Lsb Industries (LXU) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Lsb Industries reported Non-Current Assets of $880.25 million, up 0.3% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $877.47 million in FY2024 (+1.9%), $861.44 million in FY2023 (-1.3%), $873.22 million in FY2022 (-1.9%) and $889.7 million in FY2021 (-3.7%).
- Quarterly Non-Current Assets has ranged from $854.96 million in Q3 2023 to $911.59 million in Q3 2021 over the past five years.
- On a year-over-year basis, Non-Current Assets rose in seven of the last eight quarters, with growth averaging 1.1%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 1.9% in Q4 2024, against a decline of 4.1% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $870.06 million (Q1 2026), $880.25 million (Q4 2025) and $878.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 74.17 Bn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 22.04 Bn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 19.95 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | 35.48 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 25.29 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 22.82 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | - |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 11.44 Bn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 2.46 Bn |
| 10 | Lsb Industries | 695.50 Mn | -5.02 Mn | 11.46 Mn | 879.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 879.03 Mn |
| Mar 31, 2026 | 870.06 Mn |
| Dec 31, 2025 | 880.25 Mn |
| Sep 30, 2025 | 878.93 Mn |
| Jun 30, 2025 | 872.87 Mn |
| Mar 31, 2025 | 876.61 Mn |
| Dec 31, 2024 | 877.47 Mn |
| Sep 30, 2024 | 868.70 Mn |
| Jun 30, 2024 | 857.06 Mn |
| Mar 31, 2024 | 860.88 Mn |
| Dec 31, 2023 | 861.44 Mn |
| Sep 30, 2023 | 854.96 Mn |
| Jun 30, 2023 | 862.05 Mn |
| Mar 31, 2023 | 865.94 Mn |
| Dec 31, 2022 | 873.22 Mn |
| Sep 30, 2022 | 881.68 Mn |
| Jun 30, 2022 | 869.69 Mn |
| Mar 31, 2022 | 878.76 Mn |
| Dec 31, 2021 | 889.70 Mn |
| Sep 30, 2021 | 911.59 Mn |
Lsb Industries Non-Current Assets 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=non-current-assets&ticker=LXU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=LXU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();