Axalta Coating Systems (AXTA) Return on Sales [ROS] (2013 - 2026)
Axalta Coating Systems' Return on Sales [ROS] was 12.41% in Q2 2026, down 2.38 percentage points from 14.79% a year earlier but up 0.76 percentage points from the prior quarter.
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Analysis
Axalta Coating Systems (AXTA) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Axalta Coating Systems' Return on Sales [ROS] was 13.18% through Jun 30, 2026, down 1.22 percentage points year-over-year; for FY2025, it was 14.36%, up 0.98 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, with a five-year change of +6.19 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 13.38% in FY2024 (+2.04 pp), 11.34% in FY2023 (+2.68 pp), 8.66% in FY2022 (-1.81 pp) and 10.47% in FY2021 (+2.30 pp).
- Quarterly Return on Sales [ROS] has moved between 7.35% (Q1 2022) and 15.84% (Q3 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of +0.41 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2025 (a gain of 4.60 percentage points); the worst was Q2 2022 (a drop of 8.51 percentage points).
- Per Business Quant data, AXTA's Return on Sales [ROS] in the three quarters before Q2 2026 was 11.64% (Q1 2026), 12.84% (Q4 2025) and 15.84% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 14.73% |
| 10 | Axalta Coating Systems | 6.81 Bn | 4.36 Bn | 465.00 Mn | 12.41% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.41% |
| Mar 31, 2026 | 11.64% |
| Dec 31, 2025 | 12.84% |
| Sep 30, 2025 | 15.84% |
| Jun 30, 2025 | 14.79% |
| Mar 31, 2025 | 13.95% |
| Dec 31, 2024 | 14.26% |
| Sep 30, 2024 | 14.62% |
| Jun 30, 2024 | 15.17% |
| Mar 31, 2024 | 9.35% |
| Dec 31, 2023 | 12.49% |
| Sep 30, 2023 | 12.45% |
| Jun 30, 2023 | 10.66% |
| Mar 31, 2023 | 9.74% |
| Dec 31, 2022 | 8.87% |
| Sep 30, 2022 | 9.97% |
| Jun 30, 2022 | 8.39% |
| Mar 31, 2022 | 7.35% |
| Dec 31, 2021 | 8.33% |
| Sep 30, 2021 | 11.46% |
API Access
Axalta Coating Systems Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=AXTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();