Ppg Industries (PPG) Amortization - Intangibles (2009 - 2026)
Ppg Industries (PPG) posted Amortization - Intangibles of $26 million for Q3 2026, down 18.8% from $32 million a year earlier and unchanged from the prior quarter.
Ppg Industries (PPG) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Amortization - Intangibles at Ppg Industries was $107 million, down 17.1% year-over-year; for FY2025, it came in at $125 million, down 5.3% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- In prior years, Ppg Industries' Amortization - Intangibles was $132 million in FY2024 (-14.3%), $154 million in FY2023 (+6.2%), $145 million in FY2022 (-15.7%) and $172 million in FY2021 (+24.6%).
- Quarterly Amortization - Intangibles has run from a low of $20 million in Q4 2022 to a high of $46 million in Q4 2021 over five years.
- On a year-over-year basis, Amortization - Intangibles has declined in each of the last four quarters, with an average decline of 9.8% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q4 2023, with growth of 65.0%; the weakest was Q4 2022, with a decline of 56.5%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $26 million (Q2 2026), $27 million (Q1 2026) and $28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn |
| 10 | Dow | 22.79 Bn | 8.23 Bn | 1.38 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.00 Mn |
| Jun 30, 2026 | 26.00 Mn |
| Mar 31, 2026 | 27.00 Mn |
| Dec 31, 2025 | 28.00 Mn |
| Sep 30, 2025 | 32.00 Mn |
| Jun 30, 2025 | 33.00 Mn |
| Mar 31, 2025 | 32.00 Mn |
| Dec 31, 2024 | 32.00 Mn |
| Sep 30, 2024 | 30.00 Mn |
| Jun 30, 2024 | 35.00 Mn |
| Mar 31, 2024 | 35.00 Mn |
| Dec 31, 2023 | 33.00 Mn |
| Sep 30, 2023 | 40.00 Mn |
| Jun 30, 2023 | 40.00 Mn |
| Mar 31, 2023 | 41.00 Mn |
| Dec 31, 2022 | 20.00 Mn |
| Sep 30, 2022 | 40.00 Mn |
| Jun 30, 2022 | 42.00 Mn |
| Mar 31, 2022 | 43.00 Mn |
| Dec 31, 2021 | 46.00 Mn |
Ppg Industries Amortization - Intangibles 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=amortization-intangibles&ticker=PPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=PPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();