Dow (DOW) Net of Acquisitions & Divestments (2009 - 2026)
Dow (DOW) recorded Net of Acquisitions & Divestments of $2 million in Q3 2026, down 50.0% from $4 million a year earlier and down 96.3% from the prior quarter.
Dow (DOW) Net of Acquisitions & Divestments (2009 - 2026) Analysis & Trends
On a TTM basis, Dow's Net of Acquisitions & Divestments came in at $64 million as of Sep 30, 2026, down 80.5% year-over-year; for FY2025, it came in at $139 million, up 27.5% from FY2024.
- Annual Net of Acquisitions & Divestments has a five-year compound annual growth rate of -29.5% (FY2020 to FY2025).
- Across earlier years, Net of Acquisitions & Divestments came in at $109 million in FY2024, -$19 million in FY2023, -$196 million in FY2022 and -$61 million in FY2021.
- The Q3 2026 figure is the lowest quarterly Net of Acquisitions & Divestments since Q3 2024.
- On a year-over-year basis, Net of Acquisitions & Divestments rose in three of the last six quarters, with growth averaging 142.6%.
- Peak year-over-year performance for Net of Acquisitions & Divestments in the last five years was growth of 977.8% in Q4 2024, against a decline of 97.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $54 million (Q2 2026), $4 million (Q1 2026) and $4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | 29.00 Mn |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | - |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | -800,000.00 |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | - |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | - |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | - |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | -39.00 Mn |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | 200,000.00 |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | - |
| 10 | Dow | 23.92 Bn | 9.36 Bn | 1.38 Bn | 2.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.00 Mn |
| Jun 30, 2026 | 54.00 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 4.00 Mn |
| Sep 30, 2025 | 4.00 Mn |
| Jun 30, 2025 | 128.00 Mn |
| Mar 31, 2025 | 3.00 Mn |
| Dec 31, 2024 | 194.00 Mn |
| Sep 30, 2024 | -93.00 Mn |
| Jun 30, 2024 | 6.00 Mn |
| Mar 31, 2024 | 2.00 Mn |
| Dec 31, 2023 | 18.00 Mn |
| Sep 30, 2023 | -42.00 Mn |
| Jun 30, 2023 | -29.00 Mn |
| Mar 31, 2023 | 34.00 Mn |
| Dec 31, 2022 | -158.00 Mn |
| Sep 30, 2022 | -43.00 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 31.00 Mn |
Dow Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();