Dow (DOW) Non-Current Assets (2009 - 2026)
Dow (DOW) recorded Non-Current Assets of $40.71 billion in Q2 2026, down 1.4% from $41.28 billion a year earlier but up 1.0% from the prior quarter.
Analysis
Dow (DOW) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Dow reported Non-Current Assets of $19.94 billion, down 3.6% from FY2024.
- Annual Non-Current Assets has declined for nine straight years, with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $20.7 billion in FY2024 (-5.2%), $21.83 billion in FY2023 (-3.1%), $22.53 billion in FY2022 (-4.9%) and $23.68 billion in FY2021 (-6.4%).
- Quarterly Non-Current Assets has ranged from $19.94 billion in Q4 2025 to $41.41 billion in Q3 2024 over the past five years.
- On a year-over-year basis, Non-Current Assets has declined for four consecutive quarters, with an average decline of 0.6% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 3.6% in Q3 2024, against a decline of 6.4% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.31 billion (Q1 2026), $19.94 billion (Q4 2025) and $41.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 74.17 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 22.04 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 19.95 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 35.48 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 22.82 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | - |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 2.46 Bn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 11.44 Bn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 14.27 Bn |
| 10 | Dow | 22.21 Bn | 5.70 Bn | 2.17 Bn | 40.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.71 Bn |
| Mar 31, 2026 | 40.31 Bn |
| Dec 31, 2025 | 40.48 Bn |
| Sep 30, 2025 | 41.34 Bn |
| Jun 30, 2025 | 41.28 Bn |
| Mar 31, 2025 | 41.17 Bn |
| Dec 31, 2024 | 40.72 Bn |
| Sep 30, 2024 | 41.41 Bn |
| Jun 30, 2024 | 40.47 Bn |
| Mar 31, 2024 | 40.37 Bn |
| Dec 31, 2023 | 40.35 Bn |
| Sep 30, 2023 | 39.99 Bn |
| Jun 30, 2023 | 39.75 Bn |
| Mar 31, 2023 | 39.96 Bn |
| Dec 31, 2022 | 40.13 Bn |
| Sep 30, 2022 | 39.78 Bn |
| Jun 30, 2022 | 40.37 Bn |
| Mar 31, 2022 | 41.17 Bn |
| Dec 31, 2021 | 42.14 Bn |
| Sep 30, 2021 | 41.36 Bn |
API Access
Dow Non-Current Assets 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-current-assets&ticker=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-current-assets&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();