Newmarket (NEU) EV to EBITDA (2009 - 2026)
Newmarket's (NEU) quarterly EV to EBITDA came in at 43.89 in Q2 2026, down 2.16% year-over-year from 44.86 in Q2 2025, and up 7.97% quarter-over-quarter from 40.65 in Q1 2026.
Newmarket (NEU) EV to EBITDA (2009 - 2026) Analysis & Trends
Newmarket has disclosed EV to EBITDA across 18 years of filings, most recently posting 43.89 for Q2 2026.
- In Q2 2026, EV to EBITDA fell 2.16% year-over-year to 43.89; the TTM figure through Jun 2026 stood at 13.12 (up 23.65% YoY), while the FY2025 annual figure was 11.74, up 39.75% from the prior year.
- EV to EBITDA came in at 43.89 for Q2 2026 at Newmarket, up from 40.65 in the prior quarter.
- In the past five years, EV to EBITDA ranged from a high of 58.77 in Q3 2025 to a low of 26.93 in Q4 2022.
- Average EV to EBITDA over 5 years is 38.93, with a median of 37.06 recorded in 2022.
- Year-over-year, EV to EBITDA tumbled 69.15% in 2022 and jumped 91.05% in 2025.
- Over 5 years, EV to EBITDA stood at 26.93 in 2022, then soared by 87.71% to 50.55 in 2023, then fell by 26.17% to 37.32 in 2024, then surged by 55.38% to 57.99 in 2025, then dropped by 24.32% to 43.89 in 2026.
- Per Business Quant data, the three most recent EV to EBITDA figures were 43.89 in Q2 2026, 40.65 in Q1 2026, and 57.99 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 | 43.89 |
| Mar 31, 2026 | 40.65 |
| Dec 31, 2025 | 57.99 |
| Sep 30, 2025 | 58.77 |
| Jun 30, 2025 | 44.86 |
| Mar 31, 2025 | 32.69 |
| Dec 31, 2024 | 37.32 |
| Sep 30, 2024 | 30.76 |
| Jun 30, 2024 | 33.06 |
| Mar 31, 2024 | 42.41 |
| Dec 31, 2023 | 50.55 |
| Sep 30, 2023 | 32.18 |
| Jun 30, 2023 | 29.98 |
| Mar 31, 2023 | 27.54 |
| Dec 31, 2022 | 26.93 |
| Sep 30, 2022 | 36.81 |
| Jun 30, 2022 | 35.34 |
| Mar 31, 2022 | 38.92 |
| Dec 31, 2021 | 87.28 |
| Sep 30, 2021 | 50.15 |
Newmarket EV to EBITDA 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=ev-to-ebitda&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();