Axalta Coating Systems (AXTA) Tax Provisions (2013 - 2026)
Axalta Coating Systems (AXTA) posted Tax Provisions of $45 million for Q2 2026, up 36.4% from $33 million a year earlier and up 221.4% from the prior quarter.
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Analysis
Axalta Coating Systems (AXTA) Tax Provisions (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Axalta Coating Systems was $163 million, up 55.2% 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 four of the last seven quarters, with an average decline of 5.3%.
- 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 $14 million (Q1 2026), $59 million (Q4 2025) and $45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 610.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 40.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 268.90 Mn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | -515.40 Mn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 236.00 Mn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 382.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 127.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 31.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 69.00 Mn |
| 10 | Axalta Coating Systems | 7.50 Bn | 5.05 Bn | 465.00 Mn | 45.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 24.40 Mn |
API Access
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_KEYimport 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();