Dow (DOW) EBITDA (2009 - 2026)
Dow (DOW) posted EBITDA of $1.45 billion for Q3 2026, up 67.3% from $865 million a year earlier but down 8.8% from the prior quarter.
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Analysis
Dow (DOW) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Dow was $3.48 billion, up 26.3% 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%).
- Quarterly EBITDA has run from a low of -$290 million in Q4 2025 to a high of $2.8 billion in Q2 2022 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 100.4% over the last seven quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2026, with growth of 776.2%; the weakest was Q2 2025, with a decline of 87.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $1.59 billion (Q2 2026), $734 million (Q1 2026) and -$290 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.83 Bn | 221.97 Bn | 4.44 Bn | 3.12 Bn |
| 2 | Corning | 99.72 Bn | 91.40 Bn | 1.81 Bn | 1.30 Bn |
| 3 | Sherwin Williams | 86.17 Bn | 85.18 Bn | 3.28 Bn | 1.40 Bn |
| 4 | Air Products & Chemicals | 69.05 Bn | 64.24 Bn | 1.04 Bn | -1.71 Bn |
| 5 | LyondellBasell Industries | 38.34 Bn | 26.40 Bn | 1.50 Bn | 1.44 Bn |
| 6 | Nutrien | 35.09 Bn | 31.62 Bn | 1.86 Bn | 2.34 Bn |
| 7 | Ppg Industries | 27.86 Bn | 20.78 Bn | 1.76 Bn | 782.00 Mn |
| 8 | Qnity Electronics | 26.20 Bn | 22.35 Bn | 743.00 Mn | 536.00 Mn |
| 9 | Ati | 25.21 Bn | 23.17 Bn | 380.20 Mn | 316.80 Mn |
| 10 | Dow | 22.43 Bn | 6.39 Bn | 1.38 Bn | 1.45 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.45 Bn |
| 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 |
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();