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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.11 Bn | 212.69 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 116.04 Bn | 108.61 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 81.99 Bn | 81.03 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 67.21 Bn | 62.39 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 40.60 Bn | 30.11 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.06 Bn | 29.89 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Qnity Electronics | 25.15 Bn | 22.29 Bn | 666.00 Mn | 298.00 Mn |
| 8 | Ati | 24.82 Bn | 22.85 Bn | 309.80 Mn | 99.60 Mn |
| 9 | Ppg Industries | 24.38 Bn | 17.03 Bn | 1.81 Bn | 1.15 Bn |
| 10 | International Flavors & Fragrances | 23.24 Bn | 20.90 Bn | 853.00 Mn | 613.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.63 Bn |
| Mar 31, 2026 | 6.96 Bn |
| Dec 31, 2025 | 7.18 Bn |
| Sep 30, 2025 | 8.46 Bn |
| Jun 30, 2025 | 7.37 Bn |
| Mar 31, 2025 | 7.56 Bn |
| Dec 31, 2024 | 8.41 Bn |
| Sep 30, 2024 | 7.74 Bn |
| Jun 30, 2024 | 7.68 Bn |
| Mar 31, 2024 | 7.65 Bn |
| Dec 31, 2023 | 2.17 Bn |
| Sep 30, 2023 | 9.61 Bn |
| Jun 30, 2023 | 9.30 Bn |
| Mar 31, 2023 | 9.53 Bn |
| Dec 31, 2022 | 9.72 Bn |
| Sep 30, 2022 | 11.44 Bn |
| Jun 30, 2022 | 12.70 Bn |
| Mar 31, 2022 | 11.50 Bn |
| Dec 31, 2021 | 11.92 Bn |
| Sep 30, 2021 | 10.45 Bn |
API Access
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_KEYimport 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();