Linde (LIN) Selling, General & Administrative (2018 - 2026)
Linde's Selling, General & Administrative came in at $891 million for Q2 2026, up 2.4% from $870 million a year earlier but down 0.2% from the prior quarter.
Linde (LIN) Selling, General & Administrative (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Linde reported Selling, General & Administrative of $3.56 billion, up 8.1% year-over-year; for FY2025, it came in at $3.43 billion, up 2.9% from FY2024.
- Selling, General & Administrative has increased in each of the last three years, with a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $3.34 billion in FY2024 (+1.3%), $3.3 billion in FY2023 (+6.1%), $3.11 billion in FY2022 (-2.6%) and $3.19 billion in FY2021 (-0.1%).
- The five-year range for quarterly Selling, General & Administrative is $764 million (Q4 2022) to $897 million (Q3 2025).
- Year-over-year, Selling, General & Administrative has increased for five consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q1 2026 (growth of 13.6%), and the weakest in Q1 2025 (a decline of 8.6%).
- Business Quant data shows LIN's Selling, General & Administrative at $893 million (Q1 2026), $880 million (Q4 2025) and $897 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 219.10 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.16 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 387.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 200.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 95.70 Mn |
| 10 | Ppg Industries | 23.19 Bn | 15.99 Bn | 1.81 Bn | 931.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 891.00 Mn |
| Mar 31, 2026 | 893.00 Mn |
| Dec 31, 2025 | 880.00 Mn |
| Sep 30, 2025 | 897.00 Mn |
| Jun 30, 2025 | 870.00 Mn |
| Mar 31, 2025 | 786.00 Mn |
| Dec 31, 2024 | 814.00 Mn |
| Sep 30, 2024 | 823.00 Mn |
| Jun 30, 2024 | 840.00 Mn |
| Mar 31, 2024 | 860.00 Mn |
| Dec 31, 2023 | 832.00 Mn |
| Sep 30, 2023 | 808.00 Mn |
| Jun 30, 2023 | 833.00 Mn |
| Mar 31, 2023 | 822.00 Mn |
| Dec 31, 2022 | 764.00 Mn |
| Sep 30, 2022 | 770.00 Mn |
| Jun 30, 2022 | 771.00 Mn |
| Mar 31, 2022 | 802.00 Mn |
| Dec 31, 2021 | 787.00 Mn |
| Sep 30, 2021 | 793.00 Mn |
Linde Selling, General & Administrative 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=selling-general-and-administrative&ticker=LIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();