Axalta Coating Systems (AXTA) Amortization - Intangibles (2013 - 2026)
Axalta Coating Systems (AXTA) recorded Amortization - Intangibles of $25 million in Q2 2026, up 4.2% from $24 million a year earlier but down 3.8% from the prior quarter.
Axalta Coating Systems (AXTA) Amortization - Intangibles (2013 - 2026) Analysis & Trends
On a TTM basis, Axalta Coating Systems' Amortization - Intangibles came in at $101 million as of Jun 30, 2026, up 5.2% year-over-year; for FY2025, it was $98 million, up 6.5% from FY2024.
- Annual Amortization - Intangibles has a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $92 million in FY2024 (+4.5%), $88 million in FY2023 (-29.6%), $125 million in FY2022 (+3.0%) and $121.4 million in FY2021 (+7.2%).
- Quarterly Amortization - Intangibles has ranged from $20 million in Q3 2023 to $33.3 million in Q4 2021 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has increased for nine consecutive quarters, with growth averaging 8.5% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 20.0% in Q3 2024, against a decline of 34.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $26 million (Q1 2026), $25 million (Q4 2025) and $25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn |
| 10 | Axalta Coating Systems | 6.89 Bn | 4.43 Bn | 465.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.00 Mn |
| Mar 31, 2026 | 26.00 Mn |
| Dec 31, 2025 | 25.00 Mn |
| Sep 30, 2025 | 25.00 Mn |
| Jun 30, 2025 | 24.00 Mn |
| Mar 31, 2025 | 24.00 Mn |
| Dec 31, 2024 | 24.00 Mn |
| Sep 30, 2024 | 24.00 Mn |
| Jun 30, 2024 | 22.00 Mn |
| Mar 31, 2024 | 22.00 Mn |
| Dec 31, 2023 | 22.00 Mn |
| Sep 30, 2023 | 20.00 Mn |
| Jun 30, 2023 | 21.00 Mn |
| Mar 31, 2023 | 25.00 Mn |
| Dec 31, 2022 | 30.10 Mn |
| Sep 30, 2022 | 30.40 Mn |
| Jun 30, 2022 | 31.70 Mn |
| Mar 31, 2022 | 32.80 Mn |
| Dec 31, 2021 | 33.30 Mn |
| Sep 30, 2021 | 29.80 Mn |
Axalta Coating Systems Amortization - Intangibles 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=amortization-intangibles&ticker=AXTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();