Axalta Coating Systems (AXTA) Selling, General & Administrative (2013 - 2026)
Axalta Coating Systems (AXTA) reported Selling, General & Administrative of $213 million for Q2 2026, up 2.4% from $208 million a year earlier and up 6.5% from the prior quarter.
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Analysis
Axalta Coating Systems (AXTA) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Axalta Coating Systems' Selling, General & Administrative came in at $808 million, down 3.5% year-over-year; for FY2025, it was $805 million, down 5.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $847 million in FY2024 (+0.8%), $840 million in FY2023 (+8.8%), $772 million in FY2022 (+4.5%) and $738.7 million in FY2021 (+6.3%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q4 2024.
- Year over year, Selling, General & Administrative gained in three of the last eight quarters, with an average decline of 2.1%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2023 (growth of 12.1%); the low point was Q4 2025 (a decline of 8.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $200 million (Q1 2026), $198 million (Q4 2025) and $197 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 233.91 Bn | 215.48 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 107.04 Bn | 99.61 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 81.97 Bn | 81.01 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 68.09 Bn | 63.28 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 41.85 Bn | 31.36 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.68 Bn | 30.51 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Ppg Industries | 24.38 Bn | 17.04 Bn | 1.81 Bn | 931.00 Mn |
| 8 | International Flavors & Fragrances | 23.70 Bn | 21.36 Bn | 853.00 Mn | 437.00 Mn |
| 9 | Dow | 22.76 Bn | 6.25 Bn | 2.17 Bn | 535.00 Mn |
| 10 | Axalta Coating Systems | 7.30 Bn | 4.79 Bn | 465.00 Mn | 213.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 213.00 Mn |
| Mar 31, 2026 | 200.00 Mn |
| Dec 31, 2025 | 198.00 Mn |
| Sep 30, 2025 | 197.00 Mn |
| Jun 30, 2025 | 208.00 Mn |
| Mar 31, 2025 | 202.00 Mn |
| Dec 31, 2024 | 216.00 Mn |
| Sep 30, 2024 | 211.00 Mn |
| Jun 30, 2024 | 213.00 Mn |
| Mar 31, 2024 | 207.00 Mn |
| Dec 31, 2023 | 215.00 Mn |
| Sep 30, 2023 | 209.00 Mn |
| Jun 30, 2023 | 210.00 Mn |
| Mar 31, 2023 | 206.00 Mn |
| Dec 31, 2022 | 200.40 Mn |
| Sep 30, 2022 | 186.40 Mn |
| Jun 30, 2022 | 191.70 Mn |
| Mar 31, 2022 | 193.50 Mn |
| Dec 31, 2021 | 194.40 Mn |
| Sep 30, 2021 | 181.00 Mn |
API Access
Axalta Coating Systems 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=AXTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "AXTA", "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=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();