Newmarket (NEU) Retained Earnings (2009 - 2026)
Newmarket's (NEU) quarterly Retained Earnings came in at $1.7 billion in Q2 2026, up 2395.84% year-over-year from $69.7 million in Q2 2025, and up 6.46% quarter-over-quarter from $1.6 billion in Q1 2026.
Newmarket (NEU) Retained Earnings (2009 - 2026) Analysis & Trends
Newmarket has disclosed Retained Earnings across 18 years of filings, most recently posting $1.7 billion for Q2 2026.
- In Q2 2026, Retained Earnings rose 2395.84% year-over-year to $1.7 billion; the TTM figure through Jun 2026 stood at $1.7 billion (up 2395.84% YoY), while the FY2025 annual figure was $1.7 billion, up 4977.68% from the prior year.
- Retained Earnings came in at $1.7 billion for Q2 2026 at Newmarket, up from $1.6 billion in the prior quarter.
- In the past five years, Retained Earnings ranged from a high of $1.7 billion in Q2 2026 to a low of -$148.6 million in Q3 2022.
- Average Retained Earnings over 5 years is $339.1 million, with a median of -$25.0 million recorded in 2023.
- Year-over-year, Retained Earnings gained 12.44% in 2022 and surged 11134.83% in 2025.
- Over 5 years, Retained Earnings stood at -$72.0 million in 2022, then soared by 70.73% to -$21.1 million in 2023, then surged by 256.0% to $32.9 million in 2024, then soared by 4977.68% to $1.7 billion in 2025, then increased by 4.23% to $1.7 billion in 2026.
- Per Business Quant data, the three most recent Retained Earnings figures were $1.7 billion in Q2 2026, $1.6 billion in Q1 2026, and $1.7 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 20.47 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 90.95 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 12.59 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 223.99 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 62.00 Mn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | 8.29 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 49.29 Bn |
| 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 | 1.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.74 Bn |
| Mar 31, 2026 | 1.63 Bn |
| Dec 31, 2025 | 1.67 Bn |
| Sep 30, 2025 | 1.62 Bn |
| Jun 30, 2025 | 69.70 Mn |
| Mar 31, 2025 | 43.90 Mn |
| Dec 31, 2024 | 32.87 Mn |
| Sep 30, 2024 | -14.64 Mn |
| Jun 30, 2024 | -34.10 Mn |
| Mar 31, 2024 | -28.87 Mn |
| Dec 31, 2023 | -21.07 Mn |
| Sep 30, 2023 | -66.78 Mn |
| Jun 30, 2023 | -54.76 Mn |
| Mar 31, 2023 | -61.55 Mn |
| Dec 31, 2022 | -72.00 Mn |
| Sep 30, 2022 | -148.63 Mn |
| Jun 30, 2022 | -114.41 Mn |
| Mar 31, 2022 | -85.27 Mn |
| Dec 31, 2021 | -82.23 Mn |
| Sep 30, 2021 | -172.37 Mn |
Newmarket 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=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();