Newmarket (NEU) Research & Development (2009 - 2026)
Newmarket's (NEU) quarterly Research & Development came in at $30.4 million in Q2 2026, down 6.13% year-over-year from $32.4 million in Q2 2025, and down 3.94% quarter-over-quarter from $31.6 million in Q1 2026.
Newmarket (NEU) Research & Development (2009 - 2026) Analysis & Trends
Newmarket has disclosed Research & Development across 18 years of filings, most recently posting $30.4 million for Q2 2026.
- In Q2 2026, Research & Development fell 6.13% year-over-year to $30.4 million; the TTM figure through Jun 2026 stood at $128.6 million (down 1.55% YoY), while the FY2025 annual figure was $132.1 million, up 5.76% from the prior year.
- Research & Development came in at $30.4 million for Q2 2026 at Newmarket, down from $31.6 million in the prior quarter.
- In the past five years, Research & Development ranged from a high of $39.0 million in Q4 2023 to a low of $28.7 million in Q2 2024.
- Average Research & Development over 5 years is $33.2 million, with a median of $33.0 million recorded in 2023.
- Year-over-year, Research & Development gained 13.95% in 2023 and retreated 15.77% in 2024.
- Over 5 years, Research & Development stood at $34.2 million in 2022, then advanced by 13.95% to $39.0 million in 2023, then fell by 15.77% to $32.8 million in 2024, then dropped by 4.03% to $31.5 million in 2025, then decreased by 3.58% to $30.4 million in 2026.
- Per Business Quant data, the three most recent Research & Development figures were $30.4 million in Q2 2026, $31.6 million in Q1 2026, and $31.5 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (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 | 460.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -4.05 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 2.27 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 | 252.82 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Newmarket | 8.20 Bn | 8.11 Bn | 242.43 Mn | 30.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.39 Mn |
| Mar 31, 2026 | 31.64 Mn |
| Dec 31, 2025 | 31.52 Mn |
| Sep 30, 2025 | 35.02 Mn |
| Jun 30, 2025 | 32.37 Mn |
| Mar 31, 2025 | 33.18 Mn |
| Dec 31, 2024 | 32.84 Mn |
| Sep 30, 2024 | 32.19 Mn |
| Jun 30, 2024 | 28.66 Mn |
| Mar 31, 2024 | 31.20 Mn |
| Dec 31, 2023 | 38.99 Mn |
| Sep 30, 2023 | 31.89 Mn |
| Jun 30, 2023 | 33.96 Mn |
| Mar 31, 2023 | 33.16 Mn |
| Dec 31, 2022 | 34.22 Mn |
| Sep 30, 2022 | 34.39 Mn |
| Jun 30, 2022 | 35.40 Mn |
| Mar 31, 2022 | 36.25 Mn |
| Dec 31, 2021 | 36.71 Mn |
| Sep 30, 2021 | 35.39 Mn |
Newmarket Research & Development 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=research-and-development&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();