Axalta Coating Systems (AXTA) Retained Earnings (2013 - 2026)
Axalta Coating Systems (AXTA) posted Retained Earnings of $2.23 billion for Q2 2026, up 18.5% from $1.89 billion a year earlier and up 4.1% from the prior quarter.
Axalta Coating Systems (AXTA) Retained Earnings (2013 - 2026) Analysis & Trends
At the end of FY2025, Axalta Coating Systems' Retained Earnings came in at $2.06 billion, up 22.5% from FY2024.
- Annual Retained Earnings has increased for seven consecutive years, with a five-year compound annual growth rate of 29.5% (FY2020 to FY2025).
- In prior years, Axalta Coating Systems' Retained Earnings was $1.68 billion in FY2024 (+30.4%), $1.29 billion in FY2023 (+26.2%), $1.02 billion in FY2022 (+23.2%) and $827.2 million in FY2021 (+46.8%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2013.
- On a year-over-year basis, Retained Earnings has increased in each of the last 30 quarters, with growth averaging 26.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 18.5% (Q2 2026) to 56.8% (Q3 2021).
- According to Business Quant data, Retained Earnings for the three prior quarters was $2.15 billion (Q1 2026), $2.06 billion (Q4 2025) and $2 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 18.80 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 16.75 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 2.01 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 16.30 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 7.04 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 12.69 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 23.44 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | -3.40 Bn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 16.46 Bn |
| 10 | Axalta Coating Systems | 7.50 Bn | 5.05 Bn | 465.00 Mn | 2.23 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.23 Bn |
| Mar 31, 2026 | 2.15 Bn |
| Dec 31, 2025 | 2.06 Bn |
| Sep 30, 2025 | 2.00 Bn |
| Jun 30, 2025 | 1.89 Bn |
| Mar 31, 2025 | 1.78 Bn |
| Dec 31, 2024 | 1.68 Bn |
| Sep 30, 2024 | 1.54 Bn |
| Jun 30, 2024 | 1.44 Bn |
| Mar 31, 2024 | 1.33 Bn |
| Dec 31, 2023 | 1.29 Bn |
| Sep 30, 2023 | 1.21 Bn |
| Jun 30, 2023 | 1.14 Bn |
| Mar 31, 2023 | 1.08 Bn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 975.20 Mn |
| Jun 30, 2022 | 912.80 Mn |
| Mar 31, 2022 | 868.70 Mn |
| Dec 31, 2021 | 827.20 Mn |
| Sep 30, 2021 | 774.00 Mn |
Axalta Coating Systems Retained Earnings 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=retained-earnings&ticker=AXTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();