Axalta Coating Systems (AXTA) Depreciation and Depletion (2013 - 2026)
Axalta Coating Systems (AXTA) recorded Depreciation and Depletion of $34 million in Q2 2026, up 3.0% from $33 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Axalta Coating Systems (AXTA) Depreciation and Depletion (2013 - 2026) Analysis & Trends
On a TTM basis, Axalta Coating Systems' Depreciation and Depletion came in at $134 million as of Jun 30, 2026, up 3.9% year-over-year; for FY2025, it was $131 million, up 3.1% from FY2024.
- Annual Depreciation and Depletion has increased for three straight years, though with a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $127 million in FY2024 (+5.0%), $121 million in FY2023 (+3.4%), $117 million in FY2022 (-8.4%) and $127.7 million in FY2021 (-6.9%).
- On a year-over-year basis, Depreciation and Depletion has increased for five consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 10.7% in Q4 2023, against a decline of 10.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $33 million (Q1 2026), $34 million (Q4 2025) and $33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | - |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 368.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 98.50 Mn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 108.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 72.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 505.00 Mn |
| 10 | Axalta Coating Systems | 7.50 Bn | 5.05 Bn | 465.00 Mn | 34.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.00 Mn |
| Mar 31, 2026 | 33.00 Mn |
| Dec 31, 2025 | 34.00 Mn |
| Sep 30, 2025 | 33.00 Mn |
| Jun 30, 2025 | 33.00 Mn |
| Mar 31, 2025 | 31.00 Mn |
| Dec 31, 2024 | 33.00 Mn |
| Sep 30, 2024 | 32.00 Mn |
| Jun 30, 2024 | 31.00 Mn |
| Mar 31, 2024 | 31.00 Mn |
| Dec 31, 2023 | 31.00 Mn |
| Sep 30, 2023 | 31.00 Mn |
| Jun 30, 2023 | 30.00 Mn |
| Mar 31, 2023 | 29.00 Mn |
| Dec 31, 2022 | 28.00 Mn |
| Sep 30, 2022 | 29.00 Mn |
| Jun 30, 2022 | 29.90 Mn |
| Mar 31, 2022 | 30.10 Mn |
| Dec 31, 2021 | 31.40 Mn |
| Sep 30, 2021 | 31.50 Mn |
API Access
Axalta Coating Systems Depreciation and Depletion 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=depreciation-and-depletion&ticker=AXTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();