Ppg Industries (PPG) Depreciation & Amortization - Total (2009 - 2026)
Ppg Industries' Depreciation & Amortization - Total was $108 million in Q2 2026, up 5.9% from $102 million a year earlier and up 2.9% from the prior quarter.
Ppg Industries (PPG) Depreciation & Amortization - Total (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ppg Industries' Depreciation & Amortization - Total was $425 million through Jun 30, 2026, up 15.8% year-over-year; for FY2025, it was $403 million, up 11.9% from FY2024.
- Depreciation & Amortization - Total shows a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization - Total was $360 million in FY2024 (unchanged), $360 million in FY2023 (+0.8%), $357 million in FY2022 (-8.2%) and $389 million in FY2021 (+4.9%).
- The Q2 2026 figure marks the highest quarterly Depreciation & Amortization - Total in data going back to Q1 2009.
- Compared with a year earlier, Depreciation & Amortization - Total has increased for five straight quarters, with growth averaging 9.9% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization - Total over five years was Q4 2025 (growth of 21.8%); the worst was Q4 2022 (a decline of 40.8%).
- Per Business Quant data, PPG's Depreciation & Amortization - Total in the three quarters before Q2 2026 was $105 million (Q1 2026), $106 million (Q4 2025) and $106 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | - |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | - |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | - |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | - |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | - |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | - |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | - |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | - |
| 10 | Ppg Industries | 23.19 Bn | 15.99 Bn | 1.81 Bn | 108.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.00 Mn |
| Mar 31, 2026 | 105.00 Mn |
| Dec 31, 2025 | 106.00 Mn |
| Sep 30, 2025 | 106.00 Mn |
| Jun 30, 2025 | 102.00 Mn |
| Mar 31, 2025 | 89.00 Mn |
| Dec 31, 2024 | 87.00 Mn |
| Sep 30, 2024 | 89.00 Mn |
| Jun 30, 2024 | 89.00 Mn |
| Mar 31, 2024 | 95.00 Mn |
| Dec 31, 2023 | 73.00 Mn |
| Sep 30, 2023 | 102.00 Mn |
| Jun 30, 2023 | 93.00 Mn |
| Mar 31, 2023 | 92.00 Mn |
| Dec 31, 2022 | 61.00 Mn |
| Sep 30, 2022 | 95.00 Mn |
| Jun 30, 2022 | 99.00 Mn |
| Mar 31, 2022 | 102.00 Mn |
| Dec 31, 2021 | 103.00 Mn |
| Sep 30, 2021 | 100.00 Mn |
Ppg Industries Depreciation & Amortization - Total 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-amortization-total&ticker=PPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "PPG", "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-amortization-total&ticker=PPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();