Dow (DOW) Shares Outstanding (2009 - 2026)
Dow (DOW) posted Shares Outstanding of 723.5 million for Q2 2026, up 2.0% from 709.5 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 Shares Outstanding came in at 711.6 million, up 1.1% from FY2024.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Dow's 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 Q2 2026 figure stands as the highest quarterly Shares Outstanding since Q2 2022.
- On a year-over-year basis, Shares Outstanding has increased in each of the last six quarters, with growth averaging 0.9% over the last eight quarters.
- The strongest year-over-year quarter for 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, Shares Outstanding for the three prior quarters was 721.2 million (Q1 2026), 711.6 million (Q4 2025) and 711.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 462.53 Mn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 862.00 Mn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 243.90 Mn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 222.80 Mn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 646.00 Mn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 486.34 Mn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 136.30 Mn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 209.50 Mn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 223.00 Mn |
| 10 | Dow | 22.21 Bn | 5.70 Bn | 2.17 Bn | 723.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 744.50 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();