Dow (DOW) Exchange Rate Effect (2009 - 2026)
Dow's Exchange Rate Effect came in at -$3 million for Q2 2026, compared with $130 million a year earlier.
Analysis
Dow (DOW) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dow reported Exchange Rate Effect of -$54 million; for FY2025, it came in at $275 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- Going back by year, Exchange Rate Effect was -$163 million in FY2024, -$45 million in FY2023, -$237 million in FY2022 and -$99 million in FY2021.
- The five-year range for quarterly Exchange Rate Effect is -$181 million (Q4 2024) to $130 million (Q2 2025).
- Business Quant data shows DOW's Exchange Rate Effect at -$73 million (Q1 2026), $16 million (Q4 2025) and $6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 5.00 Mn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | - |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 800,000.00 |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 2.30 Mn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | -3.00 Mn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | -13.00 Mn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 500,000.00 |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | -5.00 Mn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 11.00 Mn |
| 10 | Dow | 22.21 Bn | 5.70 Bn | 2.17 Bn | -3.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.00 Mn |
| Mar 31, 2026 | -73.00 Mn |
| Dec 31, 2025 | 16.00 Mn |
| Sep 30, 2025 | 6.00 Mn |
| Jun 30, 2025 | 130.00 Mn |
| Mar 31, 2025 | 123.00 Mn |
| Dec 31, 2024 | -181.00 Mn |
| Sep 30, 2024 | 87.00 Mn |
| Jun 30, 2024 | -15.00 Mn |
| Mar 31, 2024 | -54.00 Mn |
| Dec 31, 2023 | 85.00 Mn |
| Sep 30, 2023 | -32.00 Mn |
| Jun 30, 2023 | -57.00 Mn |
| Mar 31, 2023 | -41.00 Mn |
| Dec 31, 2022 | 24.00 Mn |
| Sep 30, 2022 | -99.00 Mn |
| Jun 30, 2022 | -117.00 Mn |
| Mar 31, 2022 | -45.00 Mn |
| Dec 31, 2021 | -42.00 Mn |
| Sep 30, 2021 | -45.00 Mn |
API Access
Dow Exchange Rate Effect 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=exchange-rate-effect&ticker=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();