Dow (DOW) EV to FCF (2019 - 2026)
Dow's (DOW) EV to FCF came in at 8.17 for Q3 2026, down 26.3% from the prior quarter.
Analysis
Dow (DOW) EV to FCF (2019 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EV to FCF at Dow was 2.54; for FY2023, it came in at 13.76, up 133.9% from FY2022.
- In prior years, Dow's EV to FCF was 5.88 in FY2022 (-28.4%), 8.22 in FY2021 (+11.6%), 7.37 in FY2020 (-26.2%) and 9.98 in FY2019.
- The Q3 2026 figure stands as the lowest quarterly EV to FCF since Q4 2022.
- The strongest year-over-year quarter for EV to FCF in the past five years was Q3 2024, with growth of 383.2%; the weakest was Q2 2022, with a decline of 49.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn |
| 10 | Dow | 22.14 Bn | 6.10 Bn | 1.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.17 |
| Jun 30, 2026 | 11.08 |
| Sep 30, 2024 | 49.10 |
| Jun 30, 2024 | 19.86 |
| Mar 31, 2024 | 15.62 |
| Dec 31, 2023 | 13.14 |
| Sep 30, 2023 | 10.16 |
| Jun 30, 2023 | 9.38 |
| Mar 31, 2023 | 8.28 |
| Dec 31, 2022 | 5.78 |
| Sep 30, 2022 | 5.31 |
| Jun 30, 2022 | 5.58 |
| Mar 31, 2022 | 6.57 |
| Dec 31, 2021 | 8.16 |
| Sep 30, 2021 | 8.34 |
| Jun 30, 2021 | 11.09 |
| Mar 31, 2021 | 12.40 |
| Dec 31, 2020 | 7.36 |
| Sep 30, 2020 | 6.18 |
| Jun 30, 2020 | 5.65 |
API Access
Dow EV to FCF 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=ev-to-fcf&ticker=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();