Sherwin Williams (SHW) Operating Expenses (2009 - 2026)
Sherwin Williams' Operating Expenses was $2.1 billion in Q2 2026, up 4.6% from $2.01 billion a year earlier and up 6.8% from the prior quarter.
Sherwin Williams (SHW) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sherwin Williams' Operating Expenses was $7.96 billion through Jun 30, 2026, up 5.0% year-over-year; for FY2025, it was $7.7 billion, up 3.7% from FY2024.
- Operating Expenses has now increased for 16 consecutive years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $7.42 billion in FY2024 (+5.0%), $7.07 billion in FY2023 (+11.6%), $6.33 billion in FY2022 (+7.6%) and $5.88 billion in FY2021 (+7.4%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2009.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 4.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 18.8%); the worst was Q4 2022 (a decline of 6.3%).
- Per Business Quant data, SHW's Operating Expenses in the three quarters before Q2 2026 was $1.97 billion (Q1 2026), $1.94 billion (Q4 2025) and $1.95 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 99.60 Mn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 1.15 Bn |
| 10 | International Flavors & Fragrances | 23.27 Bn | 20.93 Bn | 853.00 Mn | 613.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Bn |
| Mar 31, 2026 | 1.97 Bn |
| Dec 31, 2025 | 1.94 Bn |
| Sep 30, 2025 | 1.95 Bn |
| Jun 30, 2025 | 2.01 Bn |
| Mar 31, 2025 | 1.79 Bn |
| Dec 31, 2024 | 1.88 Bn |
| Sep 30, 2024 | 1.89 Bn |
| Jun 30, 2024 | 1.85 Bn |
| Mar 31, 2024 | 1.80 Bn |
| Dec 31, 2023 | 1.86 Bn |
| Sep 30, 2023 | 1.76 Bn |
| Jun 30, 2023 | 1.76 Bn |
| Mar 31, 2023 | 1.69 Bn |
| Dec 31, 2022 | 1.64 Bn |
| Sep 30, 2022 | 1.61 Bn |
| Jun 30, 2022 | 1.60 Bn |
| Mar 31, 2022 | 1.49 Bn |
| Dec 31, 2021 | 1.75 Bn |
| Sep 30, 2021 | 1.37 Bn |
Sherwin Williams 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=SHW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SHW", "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=SHW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();