Dow (DOW) Total Non-Current Liabilities (2009 - 2026)
Dow's Total Non-Current Liabilities was $34.55 billion in Q3 2026, unchanged from $34.54 billion a year earlier and down 2.9% 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 $33.82 billion, up 3.0% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $32.82 billion in FY2024 (+2.5%), $32.02 billion in FY2023 (-2.4%), $32.8 billion in FY2022 (-12.9%) and $37.65 billion in FY2021 (-10.8%).
- Quarterly Total Non-Current Liabilities has moved between $30.65 billion (Q2 2023) and $37.65 billion (Q4 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 2.2%.
- 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 Q3 2026 was $35.57 billion (Q2 2026), $34.43 billion (Q1 2026) and $33.82 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 36.25 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 14.18 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 20.37 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 21.69 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 13.29 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 5.81 Bn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 3.09 Bn |
| 10 | Dow | 22.14 Bn | 6.10 Bn | 1.38 Bn | 34.55 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.55 Bn |
| 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 |
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();