Newmarket (NEU) Goodwill & Intangibles (2009 - 2026)
Newmarket's (NEU) quarterly Goodwill & Intangibles came in at $923.2 million in Q2 2026, up 25.09% year-over-year from $738.0 million in Q2 2025, and down 0.99% quarter-over-quarter from $932.4 million in Q1 2026.
Newmarket (NEU) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
Newmarket has disclosed Goodwill & Intangibles across 18 years of filings, most recently posting $923.2 million for Q2 2026.
- In Q2 2026, Goodwill & Intangibles rose 25.09% year-over-year to $923.2 million; the TTM figure through Jun 2026 stood at $923.2 million (up 25.09% YoY), while the FY2025 annual figure was $941.2 million, up 25.42% from the prior year.
- Goodwill & Intangibles came in at $923.2 million for Q2 2026 at Newmarket, down from $932.4 million in the prior quarter.
- In the past five years, Goodwill & Intangibles ranged from a high of $941.2 million in Q4 2025 to a low of $125.0 million in Q3 2023.
- Average Goodwill & Intangibles over 5 years is $503.2 million, with a median of $734.7 million recorded in 2025.
- Year-over-year, Goodwill & Intangibles soared 510.32% in 2024 and fell 3.38% in 2025.
- Over 5 years, Goodwill & Intangibles stood at $126.1 million in 2022, then slipped by 0.85% to $125.0 million in 2023, then soared by 500.34% to $750.4 million in 2024, then grew by 25.42% to $941.2 million in 2025, then retreated by 1.91% to $923.2 million in 2026.
- Per Business Quant data, the three most recent Goodwill & Intangibles figures were $923.2 million in Q2 2026, $932.4 million in Q1 2026, and $941.2 million 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 | 923.18 Mn |
| Mar 31, 2026 | 932.42 Mn |
| Dec 31, 2025 | 941.16 Mn |
| Sep 30, 2025 | 731.46 Mn |
| Jun 30, 2025 | 738.00 Mn |
| Mar 31, 2025 | 744.13 Mn |
| Dec 31, 2024 | 750.42 Mn |
| Sep 30, 2024 | 757.06 Mn |
| Jun 30, 2024 | 763.47 Mn |
| Mar 31, 2024 | 769.00 Mn |
| Dec 31, 2023 | 125.00 Mn |
| Sep 30, 2023 | 125.00 Mn |
| Jun 30, 2023 | 125.42 Mn |
| Mar 31, 2023 | 126.00 Mn |
| Dec 31, 2022 | 126.07 Mn |
| Sep 30, 2022 | 126.32 Mn |
| Jun 30, 2022 | 127.00 Mn |
| Mar 31, 2022 | 127.36 Mn |
| Dec 31, 2021 | 128.00 Mn |
| Sep 30, 2021 | 128.13 Mn |
Newmarket Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();