Lsb Industries (LXU) Cost of Revenue (2010 - 2026)
Lsb Industries (LXU) recorded Cost of Revenue of $156.63 million in Q2 2026, up 22.3% from $128.12 million a year earlier and up 17.2% from the prior quarter.
Lsb Industries (LXU) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Lsb Industries' Cost of Revenue came in at $544.06 million as of Jun 30, 2026, up 8.1% year-over-year; for FY2025, it came in at $510.91 million, up 7.6% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $474.6 million in FY2024 (-6.5%), $507.45 million in FY2023 (-8.3%), $553.34 million in FY2022 (+32.6%) and $417.26 million in FY2021 (+24.8%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue since Q3 2022.
- On a year-over-year basis, Cost of Revenue rose in six of the last eight quarters, with growth averaging 8.0%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 47.7% in Q3 2022, against a decline of 27.4% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $133.69 million (Q1 2026), $123.85 million (Q4 2025) and $129.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 4.86 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 2.88 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 3.45 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 2.13 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 7.14 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 7.36 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 763.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 951.30 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 2.69 Bn |
| 10 | Lsb Industries | 711.34 Mn | 10.82 Mn | 11.46 Mn | 156.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 156.63 Mn |
| Mar 31, 2026 | 133.69 Mn |
| Dec 31, 2025 | 123.85 Mn |
| Sep 30, 2025 | 129.89 Mn |
| Jun 30, 2025 | 128.12 Mn |
| Mar 31, 2025 | 129.05 Mn |
| Dec 31, 2024 | 128.86 Mn |
| Sep 30, 2024 | 117.16 Mn |
| Jun 30, 2024 | 112.66 Mn |
| Mar 31, 2024 | 115.93 Mn |
| Dec 31, 2023 | 120.60 Mn |
| Sep 30, 2023 | 117.67 Mn |
| Jun 30, 2023 | 129.81 Mn |
| Mar 31, 2023 | 139.36 Mn |
| Dec 31, 2022 | 141.07 Mn |
| Sep 30, 2022 | 162.14 Mn |
| Jun 30, 2022 | 141.88 Mn |
| Mar 31, 2022 | 108.25 Mn |
| Dec 31, 2021 | 111.76 Mn |
| Sep 30, 2021 | 109.75 Mn |
Lsb Industries Cost of Revenue 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=cost-of-revenue&ticker=LXU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LXU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();