Axalta Coating Systems (AXTA) Property, Plant & Equipment (Net) (2013 - 2026)
Axalta Coating Systems (AXTA) posted Property, Plant & Equipment (Net) of $1.3 billion for Q2 2026, up 3.6% from $1.26 billion a year earlier and up 0.5% from the prior quarter.
Axalta Coating Systems (AXTA) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
Since Q4 2013, Axalta Coating Systems has reported Property, Plant & Equipment (Net) for 49 quarters.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In prior years, Axalta Coating Systems' Property, Plant & Equipment (Net) was $1.18 billion in FY2024 (-1.9%), $1.2 billion in FY2023 (+1.2%), $1.19 billion in FY2022 (+0.3%) and $1.19 billion in FY2021 (-0.7%).
- The Q2 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) since Q3 2018.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last six quarters, with growth averaging 4.9% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q4 2025, with growth of 10.0%; the weakest was Q3 2022, with a decline of 6.0%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $1.29 billion (Q1 2026), $1.3 billion (Q4 2025) and $1.28 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.70 Bn | 217.28 Bn | 4.43 Bn | 29.17 Bn |
| 2 | Corning | 108.32 Bn | 100.89 Bn | 1.63 Bn | 14.93 Bn |
| 3 | Sherwin Williams | 82.88 Bn | 81.92 Bn | 3.34 Bn | 4.22 Bn |
| 4 | Air Products & Chemicals | 68.58 Bn | 63.77 Bn | 1.04 Bn | 25.00 Bn |
| 5 | LyondellBasell Industries | 42.35 Bn | 31.85 Bn | 2.04 Bn | 15.69 Bn |
| 6 | Nutrien | 33.79 Bn | 30.61 Bn | 3.25 Bn | 22.67 Bn |
| 7 | Ppg Industries | 24.61 Bn | 17.26 Bn | 1.81 Bn | 4.02 Bn |
| 8 | International Flavors & Fragrances | 23.87 Bn | 21.53 Bn | 853.00 Mn | 2.67 Bn |
| 9 | Dow | 23.17 Bn | 6.66 Bn | 2.17 Bn | 22.21 Bn |
| 10 | Axalta Coating Systems | 7.34 Bn | 4.83 Bn | 465.00 Mn | 1.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.30 Bn |
| Mar 31, 2026 | 1.29 Bn |
| Dec 31, 2025 | 1.30 Bn |
| Sep 30, 2025 | 1.28 Bn |
| Jun 30, 2025 | 1.26 Bn |
| Mar 31, 2025 | 1.20 Bn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 30, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.16 Bn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 1.20 Bn |
| Sep 30, 2023 | 1.17 Bn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 1.20 Bn |
| Dec 31, 2022 | 1.19 Bn |
| Sep 30, 2022 | 1.12 Bn |
| Jun 30, 2022 | 1.15 Bn |
| Mar 31, 2022 | 1.18 Bn |
| Dec 31, 2021 | 1.19 Bn |
| Sep 30, 2021 | 1.19 Bn |
Axalta Coating Systems Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AXTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();