Dow (DOW) Non Operating Interest Expenses (2012 - 2026)
Dow (DOW) reported Non Operating Interest Expenses of $210 million for Q2 2026, up 0.5% from $209 million a year earlier but down 4.1% from the prior quarter.
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Analysis
Dow (DOW) Non Operating Interest Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dow's Non Operating Interest Expenses came in at $869 million, up 3.5% year-over-year; for FY2025, it came in at $865 million, up 6.7% from FY2024.
- Non Operating Interest Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $811 million in FY2024 (+8.7%), $746 million in FY2023 (+12.7%), $662 million in FY2022 (-9.4%) and $731 million in FY2021 (-11.6%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $155 million in Q3 2022 and a high of $221 million in Q3 2025.
- Year over year, Non Operating Interest Expenses has now increased in each of the last 15 quarters, with growth averaging 5.3% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2023 (growth of 23.9%); the low point was Q4 2021 (a decline of 19.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $219 million (Q1 2026), $219 million (Q4 2025) and $221 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 61.00 Mn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 94.00 Mn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 135.90 Mn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 49.40 Mn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 138.00 Mn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 173.00 Mn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 61.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 71.00 Mn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | - |
| 10 | Dow | 22.01 Bn | 5.50 Bn | 2.17 Bn | 210.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 210.00 Mn |
| Mar 31, 2026 | 219.00 Mn |
| Dec 31, 2025 | 219.00 Mn |
| Sep 30, 2025 | 221.00 Mn |
| Jun 30, 2025 | 209.00 Mn |
| Mar 31, 2025 | 216.00 Mn |
| Dec 31, 2024 | 216.00 Mn |
| Sep 30, 2024 | 199.00 Mn |
| Jun 30, 2024 | 197.00 Mn |
| Mar 31, 2024 | 199.00 Mn |
| Dec 31, 2023 | 197.00 Mn |
| Sep 30, 2023 | 192.00 Mn |
| Jun 30, 2023 | 172.00 Mn |
| Mar 31, 2023 | 185.00 Mn |
| Dec 31, 2022 | 175.00 Mn |
| Sep 30, 2022 | 155.00 Mn |
| Jun 30, 2022 | 165.00 Mn |
| Mar 31, 2022 | 167.00 Mn |
| Dec 31, 2021 | 170.00 Mn |
| Sep 30, 2021 | 178.00 Mn |
API Access
Dow Non Operating Interest 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=non-operating-interest-expenses&ticker=DOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();