Dow (DOW) Total Liabilities (2009 - 2026)
Dow (DOW) posted Total Liabilities of $44.22 billion for Q2 2026, up 9.5% from $40.4 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
Dow (DOW) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Dow's Total Liabilities came in at $41.02 billion, up 3.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- In prior years, Dow's Total Liabilities was $39.46 billion in FY2024 (+1.5%), $38.86 billion in FY2023 (-1.3%), $39.36 billion in FY2022 (-11.1%) and $44.25 billion in FY2021 (-8.7%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2021.
- On a year-over-year basis, Total Liabilities has increased in each of the last ten quarters, with growth averaging 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 9.5%; the weakest was Q1 2023, with a decline of 12.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $43.02 billion (Q1 2026), $41.02 billion (Q4 2025) and $41.93 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 230.41 Bn | 211.99 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 113.91 Bn | 106.48 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 81.80 Bn | 80.84 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 66.46 Bn | 61.65 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 40.69 Bn | 30.20 Bn | 2.04 Bn | 23.80 Bn |
| 6 | Nutrien | 33.33 Bn | 30.16 Bn | 3.25 Bn | 27.62 Bn |
| 7 | Qnity Electronics | 24.83 Bn | 21.97 Bn | 666.00 Mn | 6.79 Bn |
| 8 | Ati | 24.77 Bn | 22.80 Bn | 309.80 Mn | 3.74 Bn |
| 9 | Ppg Industries | 24.13 Bn | 16.78 Bn | 1.81 Bn | 13.94 Bn |
| 10 | Dow | 21.78 Bn | 5.27 Bn | 2.17 Bn | 44.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.22 Bn |
| Mar 31, 2026 | 43.02 Bn |
| Dec 31, 2025 | 41.02 Bn |
| Sep 30, 2025 | 41.93 Bn |
| Jun 30, 2025 | 40.40 Bn |
| Mar 31, 2025 | 40.20 Bn |
| Dec 31, 2024 | 39.46 Bn |
| Sep 30, 2024 | 40.55 Bn |
| Jun 30, 2024 | 39.73 Bn |
| Mar 31, 2024 | 39.90 Bn |
| Dec 31, 2023 | 38.86 Bn |
| Sep 30, 2023 | 38.21 Bn |
| Jun 30, 2023 | 37.79 Bn |
| Mar 31, 2023 | 38.60 Bn |
| Dec 31, 2022 | 39.36 Bn |
| Sep 30, 2022 | 40.93 Bn |
| Jun 30, 2022 | 42.64 Bn |
| Mar 31, 2022 | 43.91 Bn |
| Dec 31, 2021 | 44.25 Bn |
| Sep 30, 2021 | 44.72 Bn |
API Access
Dow Total 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-liabilities&ticker=DOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();