Ppg Industries (PPG) Selling, General & Administrative (2009 - 2026)
Ppg Industries' Selling, General & Administrative was $931 million in Q2 2026, up 6.8% from $872 million a year earlier and up 5.2% from the prior quarter.
Ppg Industries (PPG) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ppg Industries' Selling, General & Administrative was $3.55 billion through Jun 30, 2026, up 4.5% year-over-year; for FY2025, it was $3.44 billion, up 1.4% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $3.39 billion in FY2024 (-0.3%), $3.4 billion in FY2023 (+12.0%), $3.04 billion in FY2022 (-19.7%) and $3.78 billion in FY2021 (+11.5%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q3 2023.
- Compared with a year earlier, Selling, General & Administrative has increased for three straight quarters, with growth averaging 23.0% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2024 (growth of 185.0%); the worst was Q4 2022 (a decline of 84.8%).
- Per Business Quant data, PPG's Selling, General & Administrative in the three quarters before Q2 2026 was $885 million (Q1 2026), $905 million (Q4 2025) and $824 million (Q3 2025).
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 | 931.00 Mn |
| Mar 31, 2026 | 885.00 Mn |
| Dec 31, 2025 | 905.00 Mn |
| Sep 30, 2025 | 824.00 Mn |
| Jun 30, 2025 | 872.00 Mn |
| Mar 31, 2025 | 838.00 Mn |
| Dec 31, 2024 | 835.00 Mn |
| Sep 30, 2024 | 848.00 Mn |
| Jun 30, 2024 | 858.00 Mn |
| Mar 31, 2024 | 850.00 Mn |
| Dec 31, 2023 | 293.00 Mn |
| Sep 30, 2023 | 1.05 Bn |
| Jun 30, 2023 | 1.07 Bn |
| Mar 31, 2023 | 992.00 Mn |
| Dec 31, 2022 | 150.00 Mn |
| Sep 30, 2022 | 931.00 Mn |
| Jun 30, 2022 | 982.00 Mn |
| Mar 31, 2022 | 974.00 Mn |
| Dec 31, 2021 | 984.00 Mn |
| Sep 30, 2021 | 950.00 Mn |
Ppg Industries 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=PPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "PPG", "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=PPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();