Axalta Coating Systems (AXTA) Accounts Payables (2013 - 2026)
Axalta Coating Systems' Accounts Payables came in at $769 million for Q2 2026, up 0.7% from $764 million a year earlier and up 6.4% from the prior quarter.
Axalta Coating Systems (AXTA) Accounts Payables (2013 - 2026) Analysis & Trends
At the end of FY2025, Axalta Coating Systems' Accounts Payables was $637 million, down 3.3% from FY2024.
- Accounts Payables has declined in each of the last three years, though with a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $659 million in FY2024 (-9.1%), $725 million in FY2023 (-1.2%), $733.5 million in FY2022 (+11.6%) and $657.4 million in FY2021 (+16.5%).
- The Q2 2026 figure represents the highest quarterly Accounts Payables in data going back to Q4 2013.
- Year-over-year, Accounts Payables increased in three of the last eight quarters, with an average decline of 0.9%.
- The fastest year-over-year change in Accounts Payables over five years came in Q1 2022 (growth of 32.4%), and the weakest in Q4 2024 (a decline of 9.1%).
- Business Quant data shows AXTA's Accounts Payables at $723 million (Q1 2026), $637 million (Q4 2025) and $691 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 2.84 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 2.36 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 2.83 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 3.53 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 3.23 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 9.30 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 4.31 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 1.06 Bn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 5.39 Bn |
| 10 | Axalta Coating Systems | 7.50 Bn | 5.05 Bn | 465.00 Mn | 769.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 769.00 Mn |
| Mar 31, 2026 | 723.00 Mn |
| Dec 31, 2025 | 637.00 Mn |
| Sep 30, 2025 | 691.00 Mn |
| Jun 30, 2025 | 764.00 Mn |
| Mar 31, 2025 | 732.00 Mn |
| Dec 31, 2024 | 659.00 Mn |
| Sep 30, 2024 | 708.00 Mn |
| Jun 30, 2024 | 715.00 Mn |
| Mar 31, 2024 | 721.00 Mn |
| Dec 31, 2023 | 725.00 Mn |
| Sep 30, 2023 | 709.90 Mn |
| Jun 30, 2023 | 702.30 Mn |
| Mar 31, 2023 | 703.50 Mn |
| Dec 31, 2022 | 733.50 Mn |
| Sep 30, 2022 | 746.60 Mn |
| Jun 30, 2022 | 746.80 Mn |
| Mar 31, 2022 | 748.00 Mn |
| Dec 31, 2021 | 657.40 Mn |
| Sep 30, 2021 | 622.50 Mn |
Axalta Coating Systems Accounts Payables 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=accounts-payables&ticker=AXTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();