Axalta Coating Systems (AXTA) Tax Provisions (2013 - 2026)
Axalta Coating Systems (AXTA) posted Tax Provisions of $33 million for Q3 2026, down 26.7% from $45 million a year earlier and down 26.7% from the prior quarter.
Axalta Coating Systems (AXTA) Tax Provisions (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Tax Provisions at Axalta Coating Systems was $151 million, up 37.3% year-over-year; for FY2025, it was $167 million, up 59.0% from FY2024.
- Annual Tax Provisions has increased for three consecutive years, with a five-year compound annual growth rate of 284.0% (FY2020 to FY2025).
- In prior years, Axalta Coating Systems' Tax Provisions was $105 million in FY2024 (+22.1%), $86 million in FY2023 (+32.3%), $65 million in FY2022 (-14.6%) and $76.1 million in FY2021.
- Quarterly Tax Provisions has run from a low of $2 million in Q4 2024 to a high of $59 million in Q4 2025 over five years.
- On a year-over-year basis, Tax Provisions increased in three of the last seven quarters, with an average decline of 13.9%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2024, with growth of 230.8%; the weakest was Q4 2024, with a decline of 92.9%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $45 million (Q2 2026), $14 million (Q1 2026) and $59 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | 449.00 Mn |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | 222.00 Mn |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | 242.50 Mn |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | 198.90 Mn |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | 187.00 Mn |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | 195.00 Mn |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | 153.00 Mn |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | 51.50 Mn |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | 51.00 Mn |
| 10 | Axalta Coating Systems | 7.83 Bn | 5.32 Bn | 434.00 Mn | 33.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.00 Mn |
| Jun 30, 2026 | 45.00 Mn |
| Mar 31, 2026 | 14.00 Mn |
| Dec 31, 2025 | 59.00 Mn |
| Sep 30, 2025 | 45.00 Mn |
| Jun 30, 2025 | 33.00 Mn |
| Mar 31, 2025 | 30.00 Mn |
| Dec 31, 2024 | 2.00 Mn |
| Sep 30, 2024 | 40.00 Mn |
| Jun 30, 2024 | 43.00 Mn |
| Mar 31, 2024 | 20.00 Mn |
| Dec 31, 2023 | 28.00 Mn |
| Sep 30, 2023 | 30.00 Mn |
| Jun 30, 2023 | 13.00 Mn |
| Mar 31, 2023 | 15.00 Mn |
| Dec 31, 2022 | 13.40 Mn |
| Sep 30, 2022 | 21.80 Mn |
| Jun 30, 2022 | 18.80 Mn |
| Mar 31, 2022 | 11.00 Mn |
| Dec 31, 2021 | 9.20 Mn |
Axalta Coating Systems Tax Provisions 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=tax-provisions&ticker=AXTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();