Axalta Coating Systems (AXTA) Capital Expenditures (2013 - 2026)
Axalta Coating Systems' Capital Expenditures was $48 million in Q2 2026, up 6.7% from $45 million a year earlier but down 4.0% 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 $206 million through Jun 30, 2026, up 12.6% 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%).
- Quarterly Capital Expenditures has moved between $22 million (Q1 2024) and $62 million (Q4 2024) over five years.
- Compared with a year earlier, Capital Expenditures was higher in seven of the last eight quarters, with growth averaging 44.2%.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2021 (growth of 178.3%); the worst was Q1 2024 (a decline of 47.6%).
- Per Business Quant data, AXTA's Capital Expenditures in the three quarters before Q2 2026 was $50 million (Q1 2026), $58 million (Q4 2025) and $50 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 1.44 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 422.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 108.40 Mn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 995.70 Mn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 270.00 Mn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | -491.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 113.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 136.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 632.00 Mn |
| 10 | Axalta Coating Systems | 7.50 Bn | 5.05 Bn | 465.00 Mn | 48.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 38.40 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();