Dow (DOW) Shares Outstanding (Entity) (2009 - 2026)
Dow (DOW) reported Shares Outstanding (Entity) of 723.88 million for Q3 2026, up 1.8% from 710.77 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Dow (DOW) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Dow posted Shares Outstanding (Entity) of 717.53 million, up 1.9% from FY2024.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 703.83 million in FY2024 (+0.2%), 702.29 million in FY2023 (-0.4%), 704.88 million in FY2022 (-4.2%) and 735.75 million in FY2021 (-1.1%).
- The Q3 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) since Q1 2022.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last eight quarters, with growth averaging 1.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q1 2026 (growth of 2.0%); the low point was Q3 2022 (a decline of 4.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 722.34 million (Q2 2026), 720.74 million (Q1 2026) and 717.53 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.83 Bn | 221.97 Bn | 4.44 Bn | 459.08 Mn |
| 2 | Corning | 99.72 Bn | 91.40 Bn | 1.81 Bn | 861.40 Mn |
| 3 | Sherwin Williams | 86.17 Bn | 85.18 Bn | 3.28 Bn | 241.60 Mn |
| 4 | Air Products & Chemicals | 69.05 Bn | 64.24 Bn | 1.04 Bn | 222.69 Mn |
| 5 | LyondellBasell Industries | 38.34 Bn | 26.40 Bn | 1.50 Bn | - |
| 6 | Nutrien | 35.09 Bn | 31.62 Bn | 1.86 Bn | - |
| 7 | Ppg Industries | 27.86 Bn | 20.78 Bn | 1.76 Bn | 220.90 Mn |
| 8 | Qnity Electronics | 26.20 Bn | 22.35 Bn | 743.00 Mn | 209.04 Mn |
| 9 | Ati | 25.21 Bn | 23.17 Bn | 380.20 Mn | 135.82 Mn |
| 10 | Dow | 22.43 Bn | 6.39 Bn | 1.38 Bn | 723.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 723.88 Mn |
| Jun 30, 2026 | 722.34 Mn |
| Mar 31, 2026 | 720.74 Mn |
| Dec 31, 2025 | 717.53 Mn |
| Sep 30, 2025 | 710.77 Mn |
| Jun 30, 2025 | 709.50 Mn |
| Mar 31, 2025 | 706.90 Mn |
| Dec 31, 2024 | 703.83 Mn |
| Sep 30, 2024 | 700.09 Mn |
| Jun 30, 2024 | 700.92 Mn |
| Mar 31, 2024 | 703.21 Mn |
| Dec 31, 2023 | 702.29 Mn |
| Sep 30, 2023 | 701.40 Mn |
| Jun 30, 2023 | 703.07 Mn |
| Mar 31, 2023 | 707.31 Mn |
| Dec 31, 2022 | 704.88 Mn |
| Sep 30, 2022 | 703.76 Mn |
| Jun 30, 2022 | 718.17 Mn |
| Mar 31, 2022 | 728.10 Mn |
| Dec 31, 2021 | 735.75 Mn |
API Access
Dow Shares Outstanding (Entity) 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-entity&ticker=DOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();