Dow (DOW) Operating Expenses (2009 - 2026)
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Analysis
Dow (DOW) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 1.35 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 877.00 Mn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 2.07 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 7.43 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 1.12 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 305.00 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 108.60 Mn |
| 10 | Dow | 22.14 Bn | 6.10 Bn | 1.38 Bn | 597.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 597.00 Mn |
| Jun 30, 2026 | 1.25 Bn |
| Mar 31, 2026 | 625.00 Mn |
| Dec 31, 2025 | 1.55 Bn |
| Sep 30, 2025 | 554.00 Mn |
| Jun 30, 2025 | 1.13 Bn |
| Mar 31, 2025 | 774.00 Mn |
| Dec 31, 2024 | 589.00 Mn |
| Sep 30, 2024 | 628.00 Mn |
| Jun 30, 2024 | 586.00 Mn |
| Mar 31, 2024 | 691.00 Mn |
| Dec 31, 2023 | 603.00 Mn |
| Sep 30, 2023 | 577.00 Mn |
| Jun 30, 2023 | 621.00 Mn |
| Mar 31, 2023 | 1.18 Bn |
| Dec 31, 2022 | 543.00 Mn |
| Sep 30, 2022 | 547.00 Mn |
| Jun 30, 2022 | 652.00 Mn |
| Mar 31, 2022 | 902.00 Mn |
| Dec 31, 2021 | 645.00 Mn |
API Access
Dow Operating Expenses 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=operating-expenses&ticker=DOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();