Dow (DOW) Retained Earnings (2009 - 2026)
Dow (DOW) posted Retained Earnings of $16.46 billion for Q2 2026, down 12.3% from $18.77 billion a year earlier but up 2.9% from the prior quarter.
Analysis
Dow (DOW) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Dow's Retained Earnings came in at $16.78 billion, down 19.7% from FY2024.
- Annual Retained Earnings has declined for three consecutive years, though with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In prior years, Dow's Retained Earnings was $20.91 billion in FY2024 (-4.0%), $21.77 billion in FY2023 (-6.1%), $23.18 billion in FY2022 (+12.4%) and $20.62 billion in FY2021 (+26.0%).
- Quarterly Retained Earnings has run from a low of $15.99 billion in Q1 2026 to a high of $23.18 billion in Q4 2022 over five years.
- On a year-over-year basis, Retained Earnings has declined in each of the last 13 quarters, with an average decline of 11.9% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q1 2022, with growth of 28.8%; the weakest was Q1 2026, with a decline of 20.4%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $15.99 billion (Q1 2026), $16.78 billion (Q4 2025) and $18.58 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 18.80 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 16.75 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 2.01 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 16.30 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 7.04 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 12.69 Bn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 738.50 Mn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 260.00 Mn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 23.44 Bn |
| 10 | Dow | 22.21 Bn | 5.70 Bn | 2.17 Bn | 16.46 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.46 Bn |
| Mar 31, 2026 | 15.99 Bn |
| Dec 31, 2025 | 16.78 Bn |
| Sep 30, 2025 | 18.58 Bn |
| Jun 30, 2025 | 18.77 Bn |
| Mar 31, 2025 | 20.10 Bn |
| Dec 31, 2024 | 20.91 Bn |
| Sep 30, 2024 | 21.46 Bn |
| Jun 30, 2024 | 21.74 Bn |
| Mar 31, 2024 | 21.80 Bn |
| Dec 31, 2023 | 21.77 Bn |
| Sep 30, 2023 | 22.38 Bn |
| Jun 30, 2023 | 22.57 Bn |
| Mar 31, 2023 | 22.58 Bn |
| Dec 31, 2022 | 23.18 Bn |
| Sep 30, 2022 | 23.07 Bn |
| Jun 30, 2022 | 22.83 Bn |
| Mar 31, 2022 | 21.67 Bn |
| Dec 31, 2021 | 20.62 Bn |
| Sep 30, 2021 | 19.36 Bn |
API Access
Dow Retained Earnings 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=retained-earnings&ticker=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();