Axalta Coating Systems (AXTA) Long-Term Debt Repayments (2014 - 2026)
Axalta Coating Systems (AXTA) recorded Long-Term Debt Repayments of $80 million in Q2 2026, compared with $5 million a year earlier and up 45.5% from the prior quarter.
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Analysis
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 $355 million as of Jun 30, 2026, up 46.7% 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 1 of the last six quarters, with an average decline of 45.2%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 140.8% in Q1 2024, against a decline of 99.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $55 million (Q1 2026), $205 million (Q4 2025) and $15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 26.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 678.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 74.10 Mn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | -36.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | - |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | - |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 214.00 Mn |
| 10 | Axalta Coating Systems | 7.50 Bn | 5.05 Bn | 465.00 Mn | 80.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 5.90 Mn |
API Access
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_KEYimport 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();