Dow (DOW) Amortization - Intangibles (2009 - 2026)
Dow (DOW) posted Amortization - Intangibles of $40 million for Q3 2026, down 13.0% from $46 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Dow (DOW) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Amortization - Intangibles at Dow was $172 million, down 34.1% year-over-year; for FY2025, it was $231 million, down 25.5% from FY2024.
- Annual Amortization - Intangibles has declined for seven consecutive years, with a five-year compound annual growth rate of -10.4% (FY2020 to FY2025).
- In prior years, Dow's Amortization - Intangibles was $310 million in FY2024 (-4.3%), $324 million in FY2023 (-3.6%), $336 million in FY2022 (-13.4%) and $388 million in FY2021 (-3.2%).
- Quarterly Amortization - Intangibles has run from a low of $40 million in Q2 2026 to a high of $88 million in Q1 2022 over five years.
- On a year-over-year basis, Amortization - Intangibles has declined in each of the last ten quarters, with an average decline of 24.8% 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 1.3%; the weakest was Q3 2025, with a decline of 39.5%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $40 million (Q2 2026), $46 million (Q1 2026) and $46 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 242.21 Bn | 224.35 Bn | 4.44 Bn |
| 2 | Corning | 102.99 Bn | 95.28 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 84.72 Bn | 83.73 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 70.24 Bn | 70.24 Bn | - |
| 5 | LyondellBasell Industries | 41.26 Bn | 29.44 Bn | 1.50 Bn |
| 6 | Nutrien | 34.33 Bn | 30.90 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.04 Bn | 20.10 Bn | 1.76 Bn |
| 8 | Ati | 24.71 Bn | 22.67 Bn | 380.20 Mn |
| 9 | Qnity Electronics | 24.47 Bn | 20.62 Bn | 743.00 Mn |
| 10 | Dow | 23.74 Bn | 7.70 Bn | 1.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.00 Mn |
| Jun 30, 2026 | 40.00 Mn |
| Mar 31, 2026 | 46.00 Mn |
| Dec 31, 2025 | 46.00 Mn |
| Sep 30, 2025 | 46.00 Mn |
| Jun 30, 2025 | 63.00 Mn |
| Mar 31, 2025 | 76.00 Mn |
| Dec 31, 2024 | 76.00 Mn |
| Sep 30, 2024 | 76.00 Mn |
| Jun 30, 2024 | 77.00 Mn |
| Mar 31, 2024 | 81.00 Mn |
| Dec 31, 2023 | 81.00 Mn |
| Sep 30, 2023 | 81.00 Mn |
| Jun 30, 2023 | 81.00 Mn |
| Mar 31, 2023 | 81.00 Mn |
| Dec 31, 2022 | 80.00 Mn |
| Sep 30, 2022 | 83.00 Mn |
| Jun 30, 2022 | 85.00 Mn |
| Mar 31, 2022 | 88.00 Mn |
| Dec 31, 2021 | 87.00 Mn |
API Access
Dow 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=DOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "DOW", "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=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();