Axalta Coating Systems (AXTA) Return on Capital Employed [ROCE] (2014 - 2026)
Axalta Coating Systems' Return on Capital Employed [ROCE] was 11.18% in Q3 2026, down 0.67 percentage points from 11.86% a year earlier and down 0.77 percentage points from the prior quarter.
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Analysis
Axalta Coating Systems (AXTA) Return on Capital Employed [ROCE] (2014 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Axalta Coating Systems came in at 12.14%, up 0.19 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for three consecutive years, with a five-year change of +6.88 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 11.95% in FY2024 (+1.70 pp), 10.25% in FY2023 (+2.90 pp), 7.35% in FY2022 (-0.55 pp) and 7.90% in FY2021 (+2.64 pp).
- The Q3 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q2 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for four straight quarters, with an average year-over-year change of +0.42 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2022 (a gain of 3.58 percentage points); the worst was Q2 2022 (a drop of 2.08 percentage points).
- Per Business Quant data, AXTA's Return on Capital Employed [ROCE] in the three quarters before Q3 2026 was 11.96% (Q2 2026), 11.32% (Q1 2026) and 11.65% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | 12.62% |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | 10.83% |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | 23.55% |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | - |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | 9.92% |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | - |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | 12.90% |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | 18.14% |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | 11.12% |
| 10 | Axalta Coating Systems | 7.83 Bn | 5.32 Bn | 434.00 Mn | 11.18% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.18% |
| Jun 30, 2026 | 11.96% |
| Mar 31, 2026 | 11.32% |
| Dec 31, 2025 | 11.65% |
| Sep 30, 2025 | 11.86% |
| Jun 30, 2025 | 12.10% |
| Mar 31, 2025 | 12.68% |
| Dec 31, 2024 | 11.73% |
| Sep 30, 2024 | 11.39% |
| Jun 30, 2024 | 11.10% |
| Mar 31, 2024 | 9.99% |
| Dec 31, 2023 | 10.30% |
| Sep 30, 2023 | 9.46% |
| Jun 30, 2023 | 8.71% |
| Mar 31, 2023 | 8.03% |
| Dec 31, 2022 | 7.62% |
| Sep 30, 2022 | 7.38% |
| Jun 30, 2022 | 7.21% |
| Mar 31, 2022 | 8.55% |
| Dec 31, 2021 | 7.85% |
API Access
Axalta Coating Systems Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=AXTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();