Axalta Coating Systems (AXTA) Total Liabilities (2013 - 2026)
Axalta Coating Systems' Total Liabilities came in at $5.13 billion for Q2 2026, down 6.2% from $5.47 billion a year earlier but up 0.8% from the prior quarter.
Axalta Coating Systems (AXTA) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Axalta Coating Systems' Total Liabilities was $5.21 billion, down 1.6% from FY2024.
- Total Liabilities has declined in each of the last four years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $5.29 billion in FY2024 (-3.7%), $5.5 billion in FY2023 (-1.1%), $5.56 billion in FY2022 (-2.1%) and $5.68 billion in FY2021 (unchanged).
- The five-year range for quarterly Total Liabilities is $5.09 billion (Q1 2026) to $5.75 billion (Q3 2021).
- Year-over-year, Total Liabilities has declined for seven consecutive quarters, with an average decline of 1.8% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2024 (growth of 3.8%), and the weakest in Q2 2026 (a decline of 6.2%).
- Business Quant data shows AXTA's Total Liabilities at $5.09 billion (Q1 2026), $5.21 billion (Q4 2025) and $5.44 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 23.85 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 16.24 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 23.80 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.74 Bn |
| 10 | Axalta Coating Systems | 6.89 Bn | 4.43 Bn | 465.00 Mn | 5.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.13 Bn |
| Mar 31, 2026 | 5.09 Bn |
| Dec 31, 2025 | 5.21 Bn |
| Sep 30, 2025 | 5.44 Bn |
| Jun 30, 2025 | 5.47 Bn |
| Mar 31, 2025 | 5.29 Bn |
| Dec 31, 2024 | 5.29 Bn |
| Sep 30, 2024 | 5.55 Bn |
| Jun 30, 2024 | 5.49 Bn |
| Mar 31, 2024 | 5.31 Bn |
| Dec 31, 2023 | 5.50 Bn |
| Sep 30, 2023 | 5.35 Bn |
| Jun 30, 2023 | 5.35 Bn |
| Mar 31, 2023 | 5.39 Bn |
| Dec 31, 2022 | 5.56 Bn |
| Sep 30, 2022 | 5.50 Bn |
| Jun 30, 2022 | 5.57 Bn |
| Mar 31, 2022 | 5.66 Bn |
| Dec 31, 2021 | 5.68 Bn |
| Sep 30, 2021 | 5.75 Bn |
Axalta Coating Systems Total Liabilities 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=total-liabilities&ticker=AXTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();