Axalta Coating Systems (AXTA) Operating Expenses (2013 - 2026)
Axalta Coating Systems' Operating Expenses came in at $231 million for Q2 2026, up 1.3% from $228 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Axalta Coating Systems (AXTA) Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Axalta Coating Systems reported Operating Expenses of $878 million, down 3.7% year-over-year; for FY2025, it came in at $876 million, down 4.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $921 million in FY2024 (+0.8%), $914 million in FY2023 (+9.1%), $838 million in FY2022 (+4.6%) and $801.1 million in FY2021 (+6.8%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2024.
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 2.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 11.9%), and the weakest in Q4 2025 (a decline of 8.9%).
- Business Quant data shows AXTA's Operating Expenses at $218 million (Q1 2026), $214 million (Q4 2025) and $215 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 907.00 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 | 3.15 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.63 Bn |
| 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 | 298.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Axalta Coating Systems | 6.89 Bn | 4.43 Bn | 465.00 Mn | 231.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 231.00 Mn |
| Mar 31, 2026 | 218.00 Mn |
| Dec 31, 2025 | 214.00 Mn |
| Sep 30, 2025 | 215.00 Mn |
| Jun 30, 2025 | 228.00 Mn |
| Mar 31, 2025 | 219.00 Mn |
| Dec 31, 2024 | 235.00 Mn |
| Sep 30, 2024 | 230.00 Mn |
| Jun 30, 2024 | 231.00 Mn |
| Mar 31, 2024 | 225.00 Mn |
| Dec 31, 2023 | 233.00 Mn |
| Sep 30, 2023 | 227.00 Mn |
| Jun 30, 2023 | 229.00 Mn |
| Mar 31, 2023 | 225.00 Mn |
| Dec 31, 2022 | 216.80 Mn |
| Sep 30, 2022 | 202.90 Mn |
| Jun 30, 2022 | 208.40 Mn |
| Mar 31, 2022 | 209.90 Mn |
| Dec 31, 2021 | 210.00 Mn |
| Sep 30, 2021 | 196.40 Mn |
API Access
Axalta Coating Systems 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=AXTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();