Dow (DOW) Long-Term Debt Repayments (2009 - 2026)
Dow's Long-Term Debt Repayments came in at $160 million for Q2 2026, up 1.9% from $157 million a year earlier and up 247.8% from the prior quarter.
Dow (DOW) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dow reported Long-Term Debt Repayments of $553 million, down 53.8% year-over-year; for FY2025, it was $1.46 billion, up 447.2% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -20.7% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $267 million in FY2024 (-40.1%), $446 million in FY2023 (-55.7%), $1.01 billion in FY2022 (-63.7%) and $2.77 billion in FY2021 (-40.4%).
- The five-year range for quarterly Long-Term Debt Repayments is $25 million (Q1 2022) to $957 million (Q1 2025).
- Year-over-year, Long-Term Debt Repayments increased in six of the last eight quarters, with growth averaging 186.5%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2025 (growth of 929.0%), and the weakest in Q3 2021 (a decline of 95.9%).
- Business Quant data shows DOW's Long-Term Debt Repayments at $46 million (Q1 2026), $254 million (Q4 2025) and $93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 26.00 Mn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 678.00 Mn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 74.10 Mn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | -36.00 Mn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 6.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | - |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | -21.90 Mn |
| 10 | Dow | 22.01 Bn | 5.50 Bn | 2.17 Bn | 214.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 214.00 Mn |
| Mar 31, 2026 | 46.00 Mn |
| Dec 31, 2025 | 463.00 Mn |
| Sep 30, 2025 | 218.00 Mn |
| Jun 30, 2025 | 157.00 Mn |
| Mar 31, 2025 | 957.00 Mn |
| Dec 31, 2024 | 126.00 Mn |
| Sep 30, 2024 | 41.00 Mn |
| Jun 30, 2024 | 90.00 Mn |
| Mar 31, 2024 | 93.00 Mn |
| Dec 31, 2023 | 341.00 Mn |
| Sep 30, 2023 | 35.00 Mn |
| Jun 30, 2023 | 164.00 Mn |
| Mar 31, 2023 | 156.00 Mn |
| Dec 31, 2022 | 170.00 Mn |
| Sep 30, 2022 | 30.00 Mn |
| Jun 30, 2022 | 902.00 Mn |
| Mar 31, 2022 | 25.00 Mn |
| Dec 31, 2021 | 219.00 Mn |
| Sep 30, 2021 | 81.00 Mn |
Dow Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();