Newmarket (NEU) EBIT (2009 - 2026)
Newmarket's (NEU) quarterly EBIT came in at $163.7 million in Q2 2026, up 14.33% year-over-year from $143.2 million in Q2 2025, and up 14.27% quarter-over-quarter from $143.2 million in Q1 2026.
Newmarket (NEU) EBIT (2009 - 2026) Analysis & Trends
Newmarket has disclosed EBIT across 18 years of filings, most recently posting $163.7 million for Q2 2026.
- In Q2 2026, EBIT rose 14.33% year-over-year to $163.7 million; the TTM figure through Jun 2026 stood at $547.6 million (down 9.53% YoY), while the FY2025 annual figure was $543.7 million, down 7.85% from the prior year.
- EBIT came in at $163.7 million for Q2 2026 at Newmarket, up from $143.2 million in the prior quarter.
- In the past five years, EBIT ranged from a high of $169.5 million in Q3 2024 to a low of $78.7 million in Q3 2022.
- Average EBIT over 5 years is $126.6 million, with a median of $131.6 million recorded in 2023.
- Year-over-year, EBIT jumped 209.16% in 2022 and retreated 22.92% in 2025.
- Over 5 years, EBIT stood at $109.5 million in 2022, then retreated by 7.48% to $101.3 million in 2023, then soared by 31.01% to $132.8 million in 2024, then slipped by 17.12% to $110.0 million in 2025, then soared by 48.75% to $163.7 million in 2026.
- Per Business Quant data, the three most recent EBIT figures were $163.7 million in Q2 2026, $143.2 million in Q1 2026, and $110.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (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 | -3.91 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 3.16 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 10.53 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | -1.07 Bn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 703.29 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Newmarket | 8.20 Bn | 8.11 Bn | 242.43 Mn | 163.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.67 Mn |
| Mar 31, 2026 | 143.23 Mn |
| Dec 31, 2025 | 110.03 Mn |
| Sep 30, 2025 | 130.68 Mn |
| Jun 30, 2025 | 143.15 Mn |
| Mar 31, 2025 | 159.87 Mn |
| Dec 31, 2024 | 132.76 Mn |
| Sep 30, 2024 | 169.52 Mn |
| Jun 30, 2024 | 146.95 Mn |
| Mar 31, 2024 | 140.80 Mn |
| Dec 31, 2023 | 101.34 Mn |
| Sep 30, 2023 | 132.43 Mn |
| Jun 30, 2023 | 124.24 Mn |
| Mar 31, 2023 | 125.04 Mn |
| Dec 31, 2022 | 109.53 Mn |
| Sep 30, 2022 | 78.73 Mn |
| Jun 30, 2022 | 83.59 Mn |
| Mar 31, 2022 | 83.29 Mn |
| Dec 31, 2021 | 35.43 Mn |
| Sep 30, 2021 | 63.11 Mn |
Newmarket EBIT 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=ebit&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();