Dow (DOW) Selling, General & Administrative (2009 - 2026)
Dow (DOW) reported Selling, General & Administrative of $535 million for Q2 2026, up 54.2% from $347 million a year earlier and up 28.3% from the prior quarter.
Dow (DOW) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dow's Selling, General & Administrative came in at $1.63 billion, up 11.6% year-over-year; for FY2025, it came in at $1.39 billion, down 12.0% from FY2024.
- Selling, General & Administrative has declined for three consecutive years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $1.58 billion in FY2024 (-2.8%), $1.63 billion in FY2023 (-2.9%), $1.68 billion in FY2022 (+1.8%) and $1.65 billion in FY2021 (+11.8%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q1 2018.
- Year over year, Selling, General & Administrative gained in three of the last eight quarters, with growth averaging 1.5%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2026 (growth of 54.2%); the low point was Q1 2025 (a decline of 17.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $417 million (Q1 2026), $339 million (Q4 2025) and $340 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 931.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 437.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 535.00 Mn |
| 10 | Qnity Electronics | 22.74 Bn | 20.16 Bn | 666.00 Mn | 200.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 535.00 Mn |
| Mar 31, 2026 | 417.00 Mn |
| Dec 31, 2025 | 339.00 Mn |
| Sep 30, 2025 | 340.00 Mn |
| Jun 30, 2025 | 347.00 Mn |
| Mar 31, 2025 | 366.00 Mn |
| Dec 31, 2024 | 353.00 Mn |
| Sep 30, 2024 | 396.00 Mn |
| Jun 30, 2024 | 390.00 Mn |
| Mar 31, 2024 | 442.00 Mn |
| Dec 31, 2023 | 411.00 Mn |
| Sep 30, 2023 | 380.00 Mn |
| Jun 30, 2023 | 408.00 Mn |
| Mar 31, 2023 | 428.00 Mn |
| Dec 31, 2022 | 386.00 Mn |
| Sep 30, 2022 | 356.00 Mn |
| Jun 30, 2022 | 435.00 Mn |
| Mar 31, 2022 | 498.00 Mn |
| Dec 31, 2021 | 436.00 Mn |
| Sep 30, 2021 | 403.00 Mn |
Dow 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=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "DOW", "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=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();