Newmarket (NEU) Dividends payables (2010 - 2026)
Newmarket's (NEU) quarterly Dividends payables came in at $24.0 million in Q2 2026, up 11.7% year-over-year from $21.5 million in Q2 2025, and down 2.87% quarter-over-quarter from $24.7 million in Q1 2026.
Newmarket (NEU) Dividends payables (2010 - 2026) Analysis & Trends
Newmarket has disclosed Dividends payables across 17 years of filings, most recently posting $24.0 million for Q2 2026.
- In Q2 2026, Dividends payables rose 11.7% year-over-year to $24.0 million; the TTM figure through Jun 2026 stood at $24.0 million (up 11.7% YoY), while the FY2025 annual figure was $23.8 million, up 8.02% from the prior year.
- Dividends payables came in at $24.0 million for Q2 2026 at Newmarket, down from $24.7 million in the prior quarter.
- In the past five years, Dividends payables ranged from a high of $24.7 million in Q1 2026 to a low of $16.4 million in Q1 2022.
- Average Dividends payables over 5 years is $20.5 million, with a median of $21.4 million recorded in 2024.
- Year-over-year, Dividends payables decreased 11.79% in 2022 and grew 19.62% in 2024.
- Over 5 years, Dividends payables stood at $17.8 million in 2022, then grew by 7.63% to $19.2 million in 2023, then rose by 14.7% to $22.0 million in 2024, then gained by 8.02% to $23.8 million in 2025, then rose by 0.7% to $24.0 million in 2026.
- Per Business Quant data, the three most recent Dividends payables figures were $24.0 million in Q2 2026, $24.7 million in Q1 2026, and $23.8 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | - |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | - |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | - |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | -53.00 Mn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | - |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Newmarket | 8.20 Bn | 8.11 Bn | 242.43 Mn | 23.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.97 Mn |
| Mar 31, 2026 | 24.68 Mn |
| Dec 31, 2025 | 23.81 Mn |
| Sep 30, 2025 | 21.57 Mn |
| Jun 30, 2025 | 21.46 Mn |
| Mar 31, 2025 | 21.70 Mn |
| Dec 31, 2024 | 22.04 Mn |
| Sep 30, 2024 | 21.42 Mn |
| Jun 30, 2024 | 21.41 Mn |
| Mar 31, 2024 | 21.37 Mn |
| Dec 31, 2023 | 19.21 Mn |
| Sep 30, 2023 | 18.89 Mn |
| Jun 30, 2023 | 18.90 Mn |
| Mar 31, 2023 | 17.86 Mn |
| Dec 31, 2022 | 17.85 Mn |
| Sep 30, 2022 | 19.36 Mn |
| Jun 30, 2022 | 16.56 Mn |
| Mar 31, 2022 | 16.42 Mn |
| Dec 31, 2021 | 16.65 Mn |
| Sep 30, 2021 | 20.60 Mn |
Newmarket Dividends payables 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=dividends-payables&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "ticker": "NEU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividends-payables&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();