Dow (DOW) Accumulated Expenses (2009 - 2026)
Dow (DOW) posted Accumulated Expenses of $3.36 billion for Q3 2026, up 22.0% from $2.76 billion a year earlier but down 0.6% from the prior quarter.
Analysis
Dow (DOW) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Dow's Accumulated Expenses came in at $2.65 billion, up 5.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -6.9% (FY2020 to FY2025).
- In prior years, Dow's Accumulated Expenses was $2.52 billion in FY2024 (-6.8%), $2.7 billion in FY2023 (-2.4%), $2.77 billion in FY2022 (-20.4%) and $3.48 billion in FY2021 (-8.2%).
- Quarterly Accumulated Expenses has run from a low of $2.36 billion in Q2 2024 to a high of $3.48 billion in Q4 2021 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 8.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2026, with growth of 27.3%; the weakest was Q2 2023, with a decline of 22.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $3.38 billion (Q2 2026), $2.8 billion (Q1 2026) and $2.65 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn |
| 10 | Dow | 22.79 Bn | 8.23 Bn | 1.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.36 Bn |
| Jun 30, 2026 | 3.38 Bn |
| Mar 31, 2026 | 2.80 Bn |
| Dec 31, 2025 | 2.65 Bn |
| Sep 30, 2025 | 2.76 Bn |
| Jun 30, 2025 | 2.66 Bn |
| Mar 31, 2025 | 2.70 Bn |
| Dec 31, 2024 | 2.52 Bn |
| Sep 30, 2024 | 2.80 Bn |
| Jun 30, 2024 | 2.36 Bn |
| Mar 31, 2024 | 2.52 Bn |
| Dec 31, 2023 | 2.70 Bn |
| Sep 30, 2023 | 2.88 Bn |
| Jun 30, 2023 | 2.62 Bn |
| Mar 31, 2023 | 2.77 Bn |
| Dec 31, 2022 | 2.77 Bn |
| Sep 30, 2022 | 3.30 Bn |
| Jun 30, 2022 | 3.38 Bn |
| Mar 31, 2022 | 3.23 Bn |
| Dec 31, 2021 | 3.48 Bn |
API Access
Dow Accumulated 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=accumulated-expenses&ticker=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();