Axalta Coating Systems (AXTA) Research & Development (2013 - 2026)
Axalta Coating Systems (AXTA) posted Research & Development of $18 million for Q3 2026, unchanged from $18 million a year earlier and unchanged from the prior quarter.
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Analysis
Axalta Coating Systems (AXTA) Research & Development (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Research & Development at Axalta Coating Systems was $70 million, down 5.4% year-over-year; for FY2025, it was $71 million, down 4.1% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In prior years, Axalta Coating Systems' Research & Development was $74 million in FY2024 (unchanged), $74 million in FY2023 (+12.1%), $66 million in FY2022 (+5.8%) and $62.4 million in FY2021 (+13.0%).
- Quarterly Research & Development has run from a low of $15.6 million in Q4 2021 to a high of $20 million in Q2 2025 over five years.
- On a year-over-year basis, Research & Development increased in three of the last eight quarters, with an average decline of 1.8%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q1 2023, with growth of 15.9%; the weakest was Q4 2025, with a decline of 15.8%.
- According to Business Quant data, Research & Development for the three prior quarters was $18 million (Q2 2026), $18 million (Q1 2026) and $16 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | 37.00 Mn |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | 314.00 Mn |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | - |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | 25.40 Mn |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | 35.00 Mn |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | - |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | 106.00 Mn |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | - |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | 105.00 Mn |
| 10 | Axalta Coating Systems | 7.83 Bn | 5.32 Bn | 434.00 Mn | 18.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.00 Mn |
| Jun 30, 2026 | 18.00 Mn |
| Mar 31, 2026 | 18.00 Mn |
| Dec 31, 2025 | 16.00 Mn |
| Sep 30, 2025 | 18.00 Mn |
| Jun 30, 2025 | 20.00 Mn |
| Mar 31, 2025 | 17.00 Mn |
| Dec 31, 2024 | 19.00 Mn |
| Sep 30, 2024 | 19.00 Mn |
| Jun 30, 2024 | 18.00 Mn |
| Mar 31, 2024 | 18.00 Mn |
| Dec 31, 2023 | 18.00 Mn |
| Sep 30, 2023 | 18.00 Mn |
| Jun 30, 2023 | 19.00 Mn |
| Mar 31, 2023 | 19.00 Mn |
| Dec 31, 2022 | 16.40 Mn |
| Sep 30, 2022 | 16.50 Mn |
| Jun 30, 2022 | 16.70 Mn |
| Mar 31, 2022 | 16.40 Mn |
| Dec 31, 2021 | 15.60 Mn |
API Access
Axalta Coating Systems Research & Development 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=research-and-development&ticker=AXTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();