Dow (DOW) Cash from Operations (2009 - 2026)
Dow's Cash from Operations was $1.33 billion in Q2 2026, compared with -$483 million a year earlier and up 18.4% from the prior quarter.
Dow (DOW) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dow's Cash from Operations was $3.9 billion through Jun 30, 2026, up 215.5% year-over-year; for FY2025, it came in at $1.06 billion, down 63.6% from FY2024.
- Cash from Operations has now declined for three consecutive years, with a five-year compound annual growth rate of -29.9% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $2.91 billion in FY2024 (-43.9%), $5.2 billion in FY2023 (-30.6%), $7.49 billion in FY2022 (+5.9%) and $7.07 billion in FY2021 (+13.1%).
- The Q2 2026 figure marks the highest quarterly Cash from Operations since Q4 2023.
- Compared with a year earlier, Cash from Operations was higher in two of the last six quarters, with growth averaging 130.0%.
- The best year-over-year quarter for Cash from Operations over five years was Q1 2026 (growth of 980.8%); the worst was Q1 2025 (a decline of 77.6%).
- Per Business Quant data, DOW's Cash from Operations in the three quarters before Q2 2026 was $1.12 billion (Q1 2026), $298 million (Q4 2025) and $1.14 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 2.27 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 1.72 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 1.35 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 1.31 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 752.00 Mn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 2.48 Bn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 131.80 Mn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 241.00 Mn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 561.00 Mn |
| 10 | Dow | 22.21 Bn | 5.70 Bn | 2.17 Bn | 1.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.33 Bn |
| Mar 31, 2026 | 1.12 Bn |
| Dec 31, 2025 | 298.00 Mn |
| Sep 30, 2025 | 1.14 Bn |
| Jun 30, 2025 | -483.00 Mn |
| Mar 31, 2025 | 104.00 Mn |
| Dec 31, 2024 | 814.00 Mn |
| Sep 30, 2024 | 800.00 Mn |
| Jun 30, 2024 | 836.00 Mn |
| Mar 31, 2024 | 464.00 Mn |
| Dec 31, 2023 | 1.66 Bn |
| Sep 30, 2023 | 1.66 Bn |
| Jun 30, 2023 | 1.35 Bn |
| Mar 31, 2023 | 535.00 Mn |
| Dec 31, 2022 | 2.08 Bn |
| Sep 30, 2022 | 1.94 Bn |
| Jun 30, 2022 | 1.86 Bn |
| Mar 31, 2022 | 1.61 Bn |
| Dec 31, 2021 | 2.56 Bn |
| Sep 30, 2021 | 2.72 Bn |
Dow Cash from Operations 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=cash-from-operations&ticker=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();