Dow (DOW) Gains from Sales and Divestitures (2009 - 2026)
Dow (DOW) reported Gains from Sales and Divestitures of $45 million for Q2 2026, down 55.0% from $100 million a year earlier.
Dow (DOW) Gains from Sales and Divestitures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dow's Gains from Sales and Divestitures came in at $167 million, up 13.6% year-over-year; for FY2025, it was $220 million, up 238.5% from FY2024.
- Gains from Sales and Divestitures has a five-year compound annual growth rate of -22.8% (FY2020 to FY2025).
- By year, Gains from Sales and Divestitures came in at $65 million in FY2024 (-7.1%), $70 million in FY2023 (+268.4%), $19 million in FY2022 (-81.9%) and $105 million in FY2021 (-86.9%).
- Five-year quarterly Gains from Sales and Divestitures spans a low of -$12 million in Q2 2022 and a high of $109 million in Q3 2025.
- Year over year, Gains from Sales and Divestitures gained in three of the last six quarters, with growth averaging 18.7%.
- The high point for year-over-year Gains from Sales and Divestitures in five years was Q1 2023 (growth of 716.7%); the low point was Q4 2021 (a decline of 96.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4 million (Q1 2026), $9 million (Q4 2025) and $109 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.41 Bn | 216.99 Bn | 4.43 Bn |
| 2 | Corning | 107.42 Bn | 99.99 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 82.89 Bn | 81.93 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.59 Bn | 63.78 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 43.02 Bn | 32.53 Bn | 2.04 Bn |
| 6 | Nutrien | 33.89 Bn | 30.72 Bn | 3.25 Bn |
| 7 | Ppg Industries | 24.80 Bn | 17.45 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 24.08 Bn | 21.74 Bn | 853.00 Mn |
| 9 | Dow | 23.65 Bn | 7.14 Bn | 2.17 Bn |
| 10 | Qnity Electronics | 23.07 Bn | 20.20 Bn | 666.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.00 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 9.00 Mn |
| Sep 30, 2025 | 109.00 Mn |
| Jun 30, 2025 | 100.00 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Dec 31, 2024 | 7.00 Mn |
| Sep 30, 2024 | 38.00 Mn |
| Jun 30, 2024 | 9.00 Mn |
| Mar 31, 2024 | 11.00 Mn |
| Dec 31, 2023 | 21.00 Mn |
| Sep 30, 2023 | -2.00 Mn |
| Jun 30, 2023 | 2.00 Mn |
| Mar 31, 2023 | 49.00 Mn |
| Dec 31, 2022 | 8.00 Mn |
| Sep 30, 2022 | 17.00 Mn |
| Jun 30, 2022 | -12.00 Mn |
| Mar 31, 2022 | 6.00 Mn |
| Dec 31, 2021 | 38.00 Mn |
| Sep 30, 2021 | 17.00 Mn |
Dow Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();