Axalta Coating Systems (AXTA) Long-Term Debt Repayments (2014 - 2026)
Axalta Coating Systems (AXTA) recorded Long-Term Debt Repayments of $76 million in Q3 2026, up 406.7% from $15 million a year earlier but down 5.0% from the prior quarter.
Axalta Coating Systems (AXTA) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
On a TTM basis, Axalta Coating Systems' Long-Term Debt Repayments came in at $416 million as of Sep 30, 2026, up 141.9% year-over-year; for FY2025, it was $230 million, down 45.2% from FY2024.
- Annual Long-Term Debt Repayments has declined for three straight years, with a five-year compound annual growth rate of -28.4% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $420 million in FY2024 (-53.5%), $904 million in FY2023 (-55.7%), $2.04 billion in FY2022 and $26.9 million in FY2021 (-97.8%).
- Quarterly Long-Term Debt Repayments has ranged from $5 million in Q2 2024 to $2.02 billion in Q4 2022 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in two of the last six quarters, with growth averaging 32.2%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 406.7% in Q3 2026, against a decline of 99.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $80 million (Q2 2026), $55 million (Q1 2026) and $205 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | 1.01 Bn |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | 376.00 Mn |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | 500.00 Mn |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | 23.80 Mn |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | - |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | -16.00 Mn |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | - |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | 359.00 Mn |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | 366.00 Mn |
| 10 | Axalta Coating Systems | 7.83 Bn | 5.32 Bn | 434.00 Mn | 76.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.00 Mn |
| Jun 30, 2026 | 80.00 Mn |
| Mar 31, 2026 | 55.00 Mn |
| Dec 31, 2025 | 205.00 Mn |
| Sep 30, 2025 | 15.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 147.00 Mn |
| Sep 30, 2024 | 85.00 Mn |
| Jun 30, 2024 | 5.00 Mn |
| Mar 31, 2024 | 183.00 Mn |
| Dec 31, 2023 | 545.00 Mn |
| Sep 30, 2023 | 202.00 Mn |
| Jun 30, 2023 | 81.00 Mn |
| Mar 31, 2023 | 76.00 Mn |
| Dec 31, 2022 | 2.02 Bn |
| Sep 30, 2022 | 6.80 Mn |
| Jun 30, 2022 | 6.90 Mn |
| Mar 31, 2022 | 6.80 Mn |
| Dec 31, 2021 | 6.80 Mn |
Axalta Coating Systems Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AXTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();