Dow (DOW) Operating Expenses (2009 - 2026)
Dow's Operating Expenses was $1.25 billion in Q2 2026, up 10.6% from $1.13 billion a year earlier and up 99.2% from the prior quarter.
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Analysis
Dow (DOW) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dow's Operating Expenses was $3.97 billion through Jun 30, 2026, up 27.4% year-over-year; for FY2025, it was $4 billion, up 60.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.49 billion in FY2024 (-16.4%), $2.98 billion in FY2023 (+12.9%), $2.64 billion in FY2022 (+5.4%) and $2.51 billion in FY2021 (-14.9%).
- Quarterly Operating Expenses has moved between $543 million (Q4 2022) and $1.55 billion (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 31.6%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 162.5%); the worst was Q3 2021 (a decline of 64.1%).
- Per Business Quant data, DOW's Operating Expenses in the three quarters before Q2 2026 was $625 million (Q1 2026), $1.55 billion (Q4 2025) and $554 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 99.60 Mn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 1.15 Bn |
| 10 | Dow | 22.21 Bn | 5.70 Bn | 2.17 Bn | 1.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 613.00 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();