Dow (DOW) EBITDA (2009 - 2026)
Dow (DOW) posted EBITDA of $1.59 billion for Q2 2026, up 776.2% from $181 million a year earlier and up 116.1% from the prior quarter.
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Analysis
Dow (DOW) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Dow was $2.9 billion, down 5.8% year-over-year; for FY2025, it was $1.37 billion, down 72.7% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -23.2% (FY2020 to FY2025).
- In prior years, Dow's EBITDA was $5.01 billion in FY2024 (+11.1%), $4.51 billion in FY2023 (-48.1%), $8.68 billion in FY2022 (-21.9%) and $11.11 billion in FY2021 (+116.9%).
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q3 2022.
- On a year-over-year basis, EBITDA increased in three of the last seven quarters, with growth averaging 90.4%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2021, with growth of 835.0%; the weakest was Q2 2025, with a decline of 87.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $734 million (Q1 2026), -$290 million (Q4 2025) and $865 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 230.52 Bn | 212.10 Bn | 4.43 Bn | 3.52 Bn |
| 2 | Corning | 114.23 Bn | 106.80 Bn | 1.63 Bn | 1.09 Bn |
| 3 | Sherwin Williams | 81.80 Bn | 80.84 Bn | 3.34 Bn | 1.42 Bn |
| 4 | Air Products & Chemicals | 66.46 Bn | 61.65 Bn | 1.04 Bn | -1.71 Bn |
| 5 | LyondellBasell Industries | 40.85 Bn | 30.36 Bn | 2.04 Bn | 1.89 Bn |
| 6 | Nutrien | 33.40 Bn | 30.23 Bn | 3.25 Bn | 2.38 Bn |
| 7 | Qnity Electronics | 24.89 Bn | 22.03 Bn | 666.00 Mn | 465.00 Mn |
| 8 | Ati | 24.68 Bn | 22.71 Bn | 309.80 Mn | 264.00 Mn |
| 9 | Ppg Industries | 24.14 Bn | 16.80 Bn | 1.81 Bn | 796.00 Mn |
| 10 | Dow | 21.84 Bn | 5.33 Bn | 2.17 Bn | 1.59 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.59 Bn |
| Mar 31, 2026 | 734.00 Mn |
| Dec 31, 2025 | -290.00 Mn |
| Sep 30, 2025 | 865.00 Mn |
| Jun 30, 2025 | 181.00 Mn |
| Mar 31, 2025 | 611.00 Mn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 1.18 Bn |
| Jun 30, 2024 | 1.42 Bn |
| Mar 31, 2024 | 1.31 Bn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 1.22 Bn |
| Jun 30, 2023 | 1.57 Bn |
| Mar 31, 2023 | 687.00 Mn |
| Dec 31, 2022 | 1.31 Bn |
| Sep 30, 2022 | 1.86 Bn |
| Jun 30, 2022 | 2.80 Bn |
| Mar 31, 2022 | 2.71 Bn |
| Dec 31, 2021 | 2.60 Bn |
| Sep 30, 2021 | 3.34 Bn |
API Access
Dow EBITDA 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=ebitda&ticker=DOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();