Dow (DOW) Operating Leases (2019 - 2026)
Dow (DOW) posted Operating Leases of $1.09 billion for Q2 2026, up 11.2% from $982 million a year earlier but down 4.7% from the prior quarter.
Analysis
Dow (DOW) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Dow's Operating Leases came in at $1.1 billion, up 11.5% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -6.3% (FY2020 to FY2025).
- In prior years, Dow's Operating Leases was $984 million in FY2024 (-4.7%), $1.03 billion in FY2023 (+3.5%), $997 million in FY2022 (-13.2%) and $1.15 billion in FY2021 (-24.5%).
- Quarterly Operating Leases has run from a low of $982 million in Q2 2025 to a high of $1.43 billion in Q3 2021 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last four quarters, with growth averaging 2.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q1 2026, with growth of 12.2%; the weakest was Q3 2022, with a decline of 29.1%.
- According to Business Quant data, Operating Leases for the three prior quarters was $1.15 billion (Q1 2026), $1.1 billion (Q4 2025) and $1.05 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 230.91 Bn | 212.49 Bn | 4.43 Bn |
| 2 | Corning | 114.13 Bn | 106.70 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 82.04 Bn | 81.08 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 66.61 Bn | 61.80 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 40.65 Bn | 30.15 Bn | 2.04 Bn |
| 6 | Nutrien | 33.49 Bn | 30.32 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 24.91 Bn | 22.05 Bn | 666.00 Mn |
| 8 | Ati | 24.83 Bn | 22.85 Bn | 309.80 Mn |
| 9 | Ppg Industries | 24.27 Bn | 16.93 Bn | 1.81 Bn |
| 10 | Dow | 21.78 Bn | 5.27 Bn | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 Bn |
| Mar 31, 2026 | 1.15 Bn |
| Dec 31, 2025 | 1.10 Bn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 982.00 Mn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 984.00 Mn |
| Sep 30, 2024 | 1.02 Bn |
| Jun 30, 2024 | 1.03 Bn |
| Mar 31, 2024 | 1.07 Bn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 1.02 Bn |
| Jun 30, 2023 | 1.04 Bn |
| Mar 31, 2023 | 1.01 Bn |
| Dec 31, 2022 | 997.00 Mn |
| Sep 30, 2022 | 1.01 Bn |
| Jun 30, 2022 | 1.04 Bn |
| Mar 31, 2022 | 1.09 Bn |
| Dec 31, 2021 | 1.15 Bn |
| Sep 30, 2021 | 1.43 Bn |
API Access
Dow Operating Leases 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=operating-leases&ticker=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();