Lsb Industries (LXU) Cash & Equivalents (2009 - 2026)
Lsb Industries (LXU) posted Cash & Equivalents of $37.7 million for Q3 2026, up 34.9% from $27.95 million a year earlier and up 85.2% from the prior quarter.
Lsb Industries (LXU) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Lsb Industries' Cash & Equivalents came in at $19.51 million, down 3.6% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- In prior years, Lsb Industries' Cash & Equivalents was $20.23 million in FY2024 (-79.5%), $98.5 million in FY2023 (+54.5%), $63.77 million in FY2022 (-22.4%) and $82.14 million in FY2021 (+405.1%).
- The Q3 2026 figure stands as the highest quarterly Cash & Equivalents since Q3 2024.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 4.1% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2022, with growth of 610.5%; the weakest was Q2 2025, with a decline of 97.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $20.36 million (Q2 2026), $20.64 million (Q1 2026) and $19.51 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 3.95 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 2.54 Bn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 264.20 Mn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | 1.33 Bn |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 3.23 Bn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | 919.00 Mn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 1.59 Bn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 1.12 Bn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 442.30 Mn |
| 10 | Lsb Industries | 803.55 Mn | 51.30 Mn | 43.10 Mn | 37.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.70 Mn |
| Jun 30, 2026 | 20.36 Mn |
| Mar 31, 2026 | 20.64 Mn |
| Dec 31, 2025 | 19.51 Mn |
| Sep 30, 2025 | 27.95 Mn |
| Jun 30, 2025 | 5.61 Mn |
| Mar 31, 2025 | 15.03 Mn |
| Dec 31, 2024 | 20.23 Mn |
| Sep 30, 2024 | 42.28 Mn |
| Jun 30, 2024 | 216.26 Mn |
| Mar 31, 2024 | 125.99 Mn |
| Dec 31, 2023 | 98.50 Mn |
| Sep 30, 2023 | 46.82 Mn |
| Jun 30, 2023 | 45.07 Mn |
| Mar 31, 2023 | 48.95 Mn |
| Dec 31, 2022 | 63.77 Mn |
| Sep 30, 2022 | 19.64 Mn |
| Jun 30, 2022 | 125.23 Mn |
| Mar 31, 2022 | 254.30 Mn |
| Dec 31, 2021 | 82.14 Mn |
Lsb Industries Cash & Equivalents 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=cash-and-equivalents&ticker=LXU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LXU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();