Axalta Coating Systems (AXTA) Cash & Equivalents (2012 - 2026)
Axalta Coating Systems (AXTA) recorded Cash & Equivalents of $633 million in Q2 2026, up 1.3% from $625 million a year earlier and up 4.1% from the prior quarter.
Axalta Coating Systems (AXTA) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2025, Axalta Coating Systems reported Cash & Equivalents of $657 million, up 10.8% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $593 million in FY2024 (-15.3%), $700 million in FY2023 (+8.5%), $645 million in FY2022 (-23.3%) and $840.6 million in FY2021 (-38.2%).
- Quarterly Cash & Equivalents has ranged from $500.2 million in Q2 2022 to $840.6 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for four consecutive quarters, with an average decline of 3.8% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 62.2% in Q2 2024, against a decline of 59.4% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $608 million (Q1 2026), $657 million (Q4 2025) and $606 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 4.90 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 2.50 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 293.50 Mn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 980.50 Mn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 2.63 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 921.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 1.52 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 569.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 3.97 Bn |
| 10 | Axalta Coating Systems | 7.50 Bn | 5.05 Bn | 465.00 Mn | 633.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 633.00 Mn |
| Mar 31, 2026 | 608.00 Mn |
| Dec 31, 2025 | 657.00 Mn |
| Sep 30, 2025 | 606.00 Mn |
| Jun 30, 2025 | 625.00 Mn |
| Mar 31, 2025 | 575.00 Mn |
| Dec 31, 2024 | 593.00 Mn |
| Sep 30, 2024 | 567.00 Mn |
| Jun 30, 2024 | 840.00 Mn |
| Mar 31, 2024 | 624.00 Mn |
| Dec 31, 2023 | 700.00 Mn |
| Sep 30, 2023 | 606.00 Mn |
| Jun 30, 2023 | 518.00 Mn |
| Mar 31, 2023 | 512.00 Mn |
| Dec 31, 2022 | 645.00 Mn |
| Sep 30, 2022 | 517.40 Mn |
| Jun 30, 2022 | 500.20 Mn |
| Mar 31, 2022 | 576.20 Mn |
| Dec 31, 2021 | 840.60 Mn |
| Sep 30, 2021 | 627.70 Mn |
Axalta Coating Systems Cash & Equivalents 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=cash-and-equivalents&ticker=AXTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();