Dow (DOW) Depreciation and Depletion (2009 - 2026)
Dow (DOW) reported Depreciation and Depletion of $505 million for Q2 2026, down 6.1% from $538 million a year earlier and down 3.3% from the prior quarter.
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Analysis
Dow (DOW) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dow's Depreciation and Depletion came in at $2.1 billion, up 1.3% year-over-year; for FY2025, it was $2.12 billion, up 6.5% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $1.99 billion in FY2024 (+3.1%), $1.93 billion in FY2023 (-1.3%), $1.96 billion in FY2022 (-5.1%) and $2.06 billion in FY2021 (-1.4%).
- The Q2 2026 figure ranks as the lowest quarterly Depreciation and Depletion since Q3 2024.
- Year over year, Depreciation and Depletion gained in seven of the last eight quarters, with growth averaging 4.1%.
- The high point for year-over-year Depreciation and Depletion in five years was Q2 2025 (growth of 10.2%); the low point was Q3 2022 (a decline of 6.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $522 million (Q1 2026), $536 million (Q4 2025) and $536 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | - |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 368.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 98.50 Mn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 108.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 72.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 505.00 Mn |
| 10 | Qnity Electronics | 22.74 Bn | 20.16 Bn | 666.00 Mn | 47.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 505.00 Mn |
| Mar 31, 2026 | 522.00 Mn |
| Dec 31, 2025 | 536.00 Mn |
| Sep 30, 2025 | 536.00 Mn |
| Jun 30, 2025 | 538.00 Mn |
| Mar 31, 2025 | 512.00 Mn |
| Dec 31, 2024 | 522.00 Mn |
| Sep 30, 2024 | 501.00 Mn |
| Jun 30, 2024 | 488.00 Mn |
| Mar 31, 2024 | 481.00 Mn |
| Dec 31, 2023 | 489.00 Mn |
| Sep 30, 2023 | 484.00 Mn |
| Jun 30, 2023 | 484.00 Mn |
| Mar 31, 2023 | 475.00 Mn |
| Dec 31, 2022 | 499.00 Mn |
| Sep 30, 2022 | 482.00 Mn |
| Jun 30, 2022 | 486.00 Mn |
| Mar 31, 2022 | 491.00 Mn |
| Dec 31, 2021 | 513.00 Mn |
| Sep 30, 2021 | 517.00 Mn |
API Access
Dow Depreciation and Depletion 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=depreciation-and-depletion&ticker=DOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();