Dow (DOW) Shares Outstanding (2009 - 2026)
Dow (DOW) posted Weighted Average Shares Outstanding of 725.5 million for Q3 2026, up 1.9% from 711.8 million a year earlier and up 0.3% from the prior quarter.
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Analysis
Dow (DOW) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Dow's Weighted Average Shares Outstanding came in at 711.6 million, up 1.1% from FY2024.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Dow's Weighted Average Shares Outstanding was 703.8 million in FY2024 (-0.3%), 705.7 million in FY2023 (-2.1%), 721 million in FY2022 (-3.0%) and 743.6 million in FY2021 (+0.4%).
- The Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding since Q2 2022.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last seven quarters, with growth averaging 1.2% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q1 2026, with growth of 2.0%; the weakest was Q3 2022, with a decline of 4.1%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 723.5 million (Q2 2026), 721.2 million (Q1 2026) and 711.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 460.61 Mn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 863.00 Mn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 240.70 Mn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 222.80 Mn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 646.00 Mn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | 486.34 Mn |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 222.20 Mn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 209.40 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 136.10 Mn |
| 10 | Dow | 22.14 Bn | 6.10 Bn | 1.38 Bn | 725.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 725.50 Mn |
| Jun 30, 2026 | 723.50 Mn |
| Mar 31, 2026 | 721.20 Mn |
| Dec 31, 2025 | 711.60 Mn |
| Sep 30, 2025 | 711.80 Mn |
| Jun 30, 2025 | 709.50 Mn |
| Mar 31, 2025 | 706.90 Mn |
| Dec 31, 2024 | 703.80 Mn |
| Sep 30, 2024 | 702.30 Mn |
| Jun 30, 2024 | 703.80 Mn |
| Mar 31, 2024 | 704.50 Mn |
| Dec 31, 2023 | 705.70 Mn |
| Sep 30, 2023 | 704.00 Mn |
| Jun 30, 2023 | 707.00 Mn |
| Mar 31, 2023 | 708.20 Mn |
| Dec 31, 2022 | 721.00 Mn |
| Sep 30, 2022 | 714.30 Mn |
| Jun 30, 2022 | 725.70 Mn |
| Mar 31, 2022 | 734.60 Mn |
| Dec 31, 2021 | 743.60 Mn |
API Access
Dow Shares Outstanding 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=shares-outstanding&ticker=DOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();