Axalta Coating Systems (AXTA) Cost of Revenue (2013 - 2026)
Axalta Coating Systems (AXTA) reported Cost of Revenue of $881 million for Q2 2026, up 3.9% from $848 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Axalta Coating Systems (AXTA) Cost of Revenue (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Axalta Coating Systems' Cost of Revenue came in at $3.4 billion, down 0.1% year-over-year; for FY2025, it was $3.36 billion, down 3.5% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $3.48 billion in FY2024 (-2.5%), $3.57 billion in FY2023 (+2.9%), $3.47 billion in FY2022 (+16.0%) and $2.99 billion in FY2021 (+21.5%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue since Q2 2024.
- Year over year, Cost of Revenue gained in two of the last eight quarters, with an average decline of 1.7%.
- The high point for year-over-year Cost of Revenue in five years was Q1 2022 (growth of 22.3%); the low point was Q2 2025 (a decline of 4.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $838 million (Q1 2026), $840 million (Q4 2025) and $838 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn | 4.86 Bn |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn | 2.88 Bn |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn | 3.45 Bn |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn | 2.13 Bn |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn | 7.14 Bn |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn | 7.36 Bn |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn | 2.69 Bn |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn | 1.10 Bn |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn | 9.89 Bn |
| 10 | Axalta Coating Systems | 7.31 Bn | 4.85 Bn | 465.00 Mn | 881.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 881.00 Mn |
| Mar 31, 2026 | 838.00 Mn |
| Dec 31, 2025 | 840.00 Mn |
| Sep 30, 2025 | 838.00 Mn |
| Jun 30, 2025 | 848.00 Mn |
| Mar 31, 2025 | 829.00 Mn |
| Dec 31, 2024 | 864.00 Mn |
| Sep 30, 2024 | 858.00 Mn |
| Jun 30, 2024 | 891.00 Mn |
| Mar 31, 2024 | 865.00 Mn |
| Dec 31, 2023 | 874.00 Mn |
| Sep 30, 2023 | 886.00 Mn |
| Jun 30, 2023 | 904.00 Mn |
| Mar 31, 2023 | 902.00 Mn |
| Dec 31, 2022 | 865.60 Mn |
| Sep 30, 2022 | 876.60 Mn |
| Jun 30, 2022 | 886.40 Mn |
| Mar 31, 2022 | 837.40 Mn |
| Dec 31, 2021 | 804.70 Mn |
| Sep 30, 2021 | 745.30 Mn |
API Access
Axalta Coating Systems Cost of Revenue 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=cost-of-revenue&ticker=AXTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();