LyondellBasell Industries (LYB) Operating Expenses (2010 - 2026)
LyondellBasell Industries (LYB) posted Operating Expenses of $7.63 billion for Q2 2026, up 3.5% from $7.37 billion a year earlier and up 9.7% from the prior quarter.
LyondellBasell Industries (LYB) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at LyondellBasell Industries was $30.42 billion, up 0.2% year-over-year; for FY2019, it came in at $30.61 billion, down 9.4% from FY2018.
- Annual Operating Expenses shows a five-year compound annual growth rate of -5.1% (FY2014 to FY2019).
- In prior years, LyondellBasell Industries' Operating Expenses was $33.77 billion in FY2018 (+16.4%), $29.02 billion in FY2017 (+20.3%), $24.12 billion in FY2016 (-9.4%) and $26.61 billion in FY2015 (-33.3%).
- Quarterly Operating Expenses has run from a low of $6.96 billion in Q1 2026 to a high of $12.7 billion in Q2 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last six quarters, with an average decline of 3.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 54.8%; the weakest was Q2 2023, with a decline of 26.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Ppg Industries | 23.55 Bn | 16.36 Bn | 1.81 Bn | 1.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.63 Bn |
| Mar 31, 2026 | 6.96 Bn |
| Sep 30, 2025 | 8.46 Bn |
| Jun 30, 2025 | 7.37 Bn |
| Mar 31, 2025 | 7.56 Bn |
| Sep 30, 2024 | 7.74 Bn |
| Jun 30, 2024 | 7.68 Bn |
| Mar 31, 2024 | 7.65 Bn |
| Sep 30, 2023 | 9.61 Bn |
| Jun 30, 2023 | 9.30 Bn |
| Mar 31, 2023 | 9.53 Bn |
| Sep 30, 2022 | 11.44 Bn |
| Jun 30, 2022 | 12.70 Bn |
| Mar 31, 2022 | 11.50 Bn |
| Sep 30, 2021 | 10.45 Bn |
| Jun 30, 2021 | 9.04 Bn |
| Mar 31, 2021 | 7.99 Bn |
| Sep 30, 2020 | 6.75 Bn |
| Jun 30, 2020 | 5.21 Bn |
| Mar 31, 2020 | 7.19 Bn |
LyondellBasell Industries Operating Expenses 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=operating-expenses&ticker=LYB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LYB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=LYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();