Axalta Coating Systems (AXTA) Capital Expenditures (2013 - 2026)
Axalta Coating Systems' Capital Expenditures was $46 million in Q3 2026, down 8.0% from $50 million a year earlier and down 4.2% from the prior quarter.
Axalta Coating Systems (AXTA) Capital Expenditures (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Axalta Coating Systems' Capital Expenditures was $202 million through Sep 30, 2026, up 1.0% year-over-year; for FY2025, it was $196 million, up 40.0% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $140 million in FY2024 (+1.4%), $138 million in FY2023 (-8.6%), $151 million in FY2022 (+24.2%) and $121.6 million in FY2021 (+48.1%).
- The Q3 2026 figure marks the lowest quarterly Capital Expenditures since Q2 2025.
- Compared with a year earlier, Capital Expenditures was higher in six of the last eight quarters, with growth averaging 42.4%.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2025 (growth of 95.7%); the worst was Q1 2024 (a decline of 47.6%).
- Per Business Quant data, AXTA's Capital Expenditures in the three quarters before Q3 2026 was $48 million (Q2 2026), $50 million (Q1 2026) and $58 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | 1.39 Bn |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | 545.00 Mn |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | 128.70 Mn |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | 849.40 Mn |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | 303.00 Mn |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | -525.00 Mn |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | 155.00 Mn |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | 92.80 Mn |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | 78.00 Mn |
| 10 | Axalta Coating Systems | 7.83 Bn | 5.32 Bn | 434.00 Mn | 46.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.00 Mn |
| Jun 30, 2026 | 48.00 Mn |
| Mar 31, 2026 | 50.00 Mn |
| Dec 31, 2025 | 58.00 Mn |
| Sep 30, 2025 | 50.00 Mn |
| Jun 30, 2025 | 45.00 Mn |
| Mar 31, 2025 | 43.00 Mn |
| Dec 31, 2024 | 62.00 Mn |
| Sep 30, 2024 | 33.00 Mn |
| Jun 30, 2024 | 23.00 Mn |
| Mar 31, 2024 | 22.00 Mn |
| Dec 31, 2023 | 33.00 Mn |
| Sep 30, 2023 | 31.00 Mn |
| Jun 30, 2023 | 32.00 Mn |
| Mar 31, 2023 | 42.00 Mn |
| Dec 31, 2022 | 43.50 Mn |
| Sep 30, 2022 | 35.50 Mn |
| Jun 30, 2022 | 29.50 Mn |
| Mar 31, 2022 | 42.50 Mn |
| Dec 31, 2021 | 22.90 Mn |
Axalta Coating Systems Capital Expenditures 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=capital-expenditures&ticker=AXTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();