Dow (DOW) Total Non-Current Liabilities (2009 - 2026)
Dow's Total Non-Current Liabilities was $35.57 billion in Q2 2026, up 6.1% from $33.52 billion a year earlier and up 3.3% from the prior quarter.
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Analysis
Dow (DOW) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Dow came in at $16.89 billion, down 11.8% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $19.16 billion in FY2024 (+1.9%), $18.79 billion in FY2023 (-1.1%), $19 billion in FY2022 (-5.2%) and $20.04 billion in FY2021 (-0.5%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q2 2022.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 1.5%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2024 (growth of 9.3%); the worst was Q1 2023 (a decline of 14.9%).
- Per Business Quant data, DOW's Total Non-Current Liabilities in the three quarters before Q2 2026 was $34.43 billion (Q1 2026), $16.89 billion (Q4 2025) and $34.54 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.52 Bn | 213.10 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 115.64 Bn | 108.20 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 81.89 Bn | 80.93 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 67.31 Bn | 62.49 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 40.72 Bn | 30.23 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 33.14 Bn | 29.97 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Qnity Electronics | 25.05 Bn | 22.19 Bn | 666.00 Mn | 5.75 Bn |
| 8 | Ati | 24.63 Bn | 22.66 Bn | 309.80 Mn | 3.41 Bn |
| 9 | Ppg Industries | 24.35 Bn | 17.00 Bn | 1.81 Bn | 13.30 Bn |
| 10 | Dow | 21.82 Bn | 5.32 Bn | 2.17 Bn | 35.57 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.57 Bn |
| Mar 31, 2026 | 34.43 Bn |
| Dec 31, 2025 | 33.82 Bn |
| Sep 30, 2025 | 34.54 Bn |
| Jun 30, 2025 | 33.52 Bn |
| Mar 31, 2025 | 33.33 Bn |
| Dec 31, 2024 | 32.82 Bn |
| Sep 30, 2024 | 33.83 Bn |
| Jun 30, 2024 | 33.15 Bn |
| Mar 31, 2024 | 33.43 Bn |
| Dec 31, 2023 | 32.02 Bn |
| Sep 30, 2023 | 30.95 Bn |
| Jun 30, 2023 | 30.65 Bn |
| Mar 31, 2023 | 31.62 Bn |
| Dec 31, 2022 | 32.80 Bn |
| Sep 30, 2022 | 34.37 Bn |
| Jun 30, 2022 | 35.99 Bn |
| Mar 31, 2022 | 37.14 Bn |
| Dec 31, 2021 | 37.65 Bn |
| Sep 30, 2021 | 38.30 Bn |
API Access
Dow Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();