Linde (LIN) Operating Expenses (2018 - 2026)
Linde (LIN) reported Operating Expenses of $928 million for Q2 2026, up 2.2% from $908 million a year earlier but down 0.3% from the prior quarter.
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Analysis
Linde (LIN) Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Linde's Operating Expenses came in at $3.93 billion, up 7.7% year-over-year; for FY2025, it was $7.1 billion, up 3.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $6.86 billion in FY2024 (+1.6%), $6.75 billion in FY2023 (-14.7%), $7.91 billion in FY2022 (+5.3%) and $7.52 billion in FY2021 (-2.5%).
- Five-year quarterly Operating Expenses spans a low of $820 million in Q3 2022 and a high of $1.8 billion in Q2 2022.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 6.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 69.9%); the low point was Q2 2023 (a decline of 50.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $931 million (Q1 2026), $1.14 billion (Q4 2025) and $922 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Ppg Industries | 23.77 Bn | 16.57 Bn | 1.81 Bn | 1.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 928.00 Mn |
| Mar 31, 2026 | 931.00 Mn |
| Dec 31, 2025 | 1.14 Bn |
| Sep 30, 2025 | 922.00 Mn |
| Jun 30, 2025 | 908.00 Mn |
| Mar 31, 2025 | 879.00 Mn |
| Dec 31, 2024 | 853.00 Mn |
| Sep 30, 2024 | 1.01 Bn |
| Jun 30, 2024 | 876.00 Mn |
| Mar 31, 2024 | 898.00 Mn |
| Dec 31, 2023 | 869.00 Mn |
| Sep 30, 2023 | 846.00 Mn |
| Jun 30, 2023 | 890.00 Mn |
| Mar 31, 2023 | 876.00 Mn |
| Dec 31, 2022 | 825.00 Mn |
| Sep 30, 2022 | 820.00 Mn |
| Jun 30, 2022 | 1.80 Bn |
| Mar 31, 2022 | 833.00 Mn |
| Dec 31, 2021 | 876.00 Mn |
| Sep 30, 2021 | 855.00 Mn |
API Access
Linde 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=LIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LIN", "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=LIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();