Newmarket (NEU) Price to Earnings (2009 - 2026)
Newmarket's (NEU) quarterly Price to Earnings came in at 54.4 in Q2 2026, down 6.77% year-over-year from 58.36 in Q2 2025, and up 8.95% quarter-over-quarter from 49.93 in Q1 2026.
Newmarket (NEU) Price to Earnings (2009 - 2026) Analysis & Trends
Newmarket has disclosed Price to Earnings across 18 years of filings, most recently posting 54.4 for Q2 2026.
- In Q2 2026, Price to Earnings fell 6.77% year-over-year to 54.4; the TTM figure through Jun 2026 stood at 16.79 (up 24.21% YoY), while the FY2025 annual figure was 15.42, up 41.72% from the prior year.
- Price to Earnings came in at 54.4 for Q2 2026 at Newmarket, up from 49.93 in the prior quarter.
- In the past five years, Price to Earnings ranged from a high of 79.45 in Q4 2025 to a low of 33.34 in Q4 2022.
- Average Price to Earnings over 5 years is 50.53, with a median of 46.3 recorded in 2022.
- Year-over-year, Price to Earnings sank 83.85% in 2022 and surged 95.23% in 2023.
- Over 5 years, Price to Earnings stood at 33.34 in 2022, then surged by 95.23% to 65.1 in 2023, then tumbled by 30.19% to 45.44 in 2024, then surged by 74.84% to 79.45 in 2025, then sank by 31.53% to 54.4 in 2026.
- Per Business Quant data, the three most recent Price to Earnings figures were 54.4 in Q2 2026, 49.93 in Q1 2026, and 79.45 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.40 |
| Mar 31, 2026 | 49.93 |
| Dec 31, 2025 | 79.45 |
| Sep 30, 2025 | 77.62 |
| Jun 30, 2025 | 58.36 |
| Mar 31, 2025 | 42.43 |
| Dec 31, 2024 | 45.44 |
| Sep 30, 2024 | 40.02 |
| Jun 30, 2024 | 44.31 |
| Mar 31, 2024 | 56.52 |
| Dec 31, 2023 | 65.10 |
| Sep 30, 2023 | 39.23 |
| Jun 30, 2023 | 38.71 |
| Mar 31, 2023 | 36.00 |
| Dec 31, 2022 | 33.34 |
| Sep 30, 2022 | 46.97 |
| Jun 30, 2022 | 45.64 |
| Mar 31, 2022 | 56.08 |
| Dec 31, 2021 | 206.41 |
| Sep 30, 2021 | 69.25 |
Newmarket Price to 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=price-to-earnings&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-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=price-to-earnings&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();