Axalta Coating Systems (AXTA) Change in Accrued Expenses (2012 - 2026)
Axalta Coating Systems (AXTA) posted Change in Accrued Expenses of $42 million for Q3 2026, up 5.0% from $40 million a year earlier but down 25.0% from the prior quarter.
Axalta Coating Systems (AXTA) Change in Accrued Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at Axalta Coating Systems was $9 million; for FY2025, it was -$64 million.
- In prior years, Axalta Coating Systems' Change in Accrued Expenses was $36 million in FY2024 (+24.1%), $29 million in FY2023 (-35.6%), $45 million in FY2022 (-32.0%) and $66.2 million in FY2021.
- Quarterly Change in Accrued Expenses has run from a low of -$106 million in Q1 2025 to a high of $60 million in Q3 2024 over five years.
- On a year-over-year basis, Change in Accrued Expenses increased in two of the last four quarters, with an average decline of 5.0%.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q4 2022, with growth of 869.4%; the weakest was Q4 2025, with a decline of 81.6%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was $56 million (Q2 2026), -$96 million (Q1 2026) and $7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | 386.00 Mn |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | 464.00 Mn |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | - |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | -34.10 Mn |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | - |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | -2.32 Bn |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | -99.00 Mn |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | - |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | 11.00 Mn |
| 10 | Axalta Coating Systems | 7.83 Bn | 5.32 Bn | 434.00 Mn | 42.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.00 Mn |
| Jun 30, 2026 | 56.00 Mn |
| Mar 31, 2026 | -96.00 Mn |
| Dec 31, 2025 | 7.00 Mn |
| Sep 30, 2025 | 40.00 Mn |
| Jun 30, 2025 | -5.00 Mn |
| Mar 31, 2025 | -106.00 Mn |
| Dec 31, 2024 | 38.00 Mn |
| Sep 30, 2024 | 60.00 Mn |
| Jun 30, 2024 | 13.00 Mn |
| Mar 31, 2024 | -75.00 Mn |
| Dec 31, 2023 | 20.00 Mn |
| Sep 30, 2023 | 49.00 Mn |
| Jun 30, 2023 | 56.00 Mn |
| Mar 31, 2023 | -96.00 Mn |
| Dec 31, 2022 | 47.50 Mn |
| Sep 30, 2022 | 36.90 Mn |
| Jun 30, 2022 | 27.30 Mn |
| Mar 31, 2022 | -66.70 Mn |
| Dec 31, 2021 | 4.90 Mn |
Axalta Coating Systems Change in Accrued Expenses 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=change-in-accured-expenses&ticker=AXTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();