Newmarket (NEU) Non-Current Assets (2009 - 2026)
Newmarket's (NEU) quarterly Non-Current Assets came in at $2.5 billion in Q2 2026, up 16.17% year-over-year from $2.1 billion in Q2 2025, and up 1.28% quarter-over-quarter from $2.4 billion in Q1 2026.
Newmarket (NEU) Non-Current Assets (2009 - 2026) Analysis & Trends
Newmarket has disclosed Non-Current Assets across 18 years of filings, most recently posting $2.5 billion for Q2 2026.
- In Q2 2026, Non-Current Assets rose 16.17% year-over-year to $2.5 billion; the TTM figure through Jun 2026 stood at $9.5 billion (up 13.29% YoY), while the FY2025 annual figure was $2.4 billion, up 15.85% from the prior year.
- Non-Current Assets came in at $2.5 billion for Q2 2026 at Newmarket, up from $2.4 billion in the prior quarter.
- In the past five years, Non-Current Assets ranged from a high of $2.5 billion in Q2 2026 to a low of $1.2 billion in Q3 2022.
- Average Non-Current Assets over 5 years is $1.8 billion, with a median of $2.0 billion recorded in 2024.
- Year-over-year, Non-Current Assets surged 67.17% in 2024 and advanced 3.48% in 2025.
- Over 5 years, Non-Current Assets stood at $1.2 billion in 2022, then climbed by 4.5% to $1.3 billion in 2023, then surged by 65.44% to $2.1 billion in 2024, then gained by 15.85% to $2.4 billion in 2025, then advanced by 1.56% to $2.5 billion in 2026.
- Per Business Quant data, the three most recent Non-Current Assets figures were $2.5 billion in Q2 2026, $2.4 billion in Q1 2026, and $2.4 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 23.22 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 87.98 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 87.87 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 24.52 Bn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | 29.63 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 111.37 Bn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 5.81 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 64.56 Bn |
| 10 | Newmarket | 8.20 Bn | 8.11 Bn | 242.43 Mn | 2.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.47 Bn |
| Mar 31, 2026 | 2.44 Bn |
| Dec 31, 2025 | 2.43 Bn |
| Sep 30, 2025 | 2.13 Bn |
| Jun 30, 2025 | 2.13 Bn |
| Mar 31, 2025 | 2.11 Bn |
| Dec 31, 2024 | 2.10 Bn |
| Sep 30, 2024 | 2.03 Bn |
| Jun 30, 2024 | 2.03 Bn |
| Mar 31, 2024 | 2.04 Bn |
| Dec 31, 2023 | 1.27 Bn |
| Sep 30, 2023 | 1.22 Bn |
| Jun 30, 2023 | 1.23 Bn |
| Mar 31, 2023 | 1.22 Bn |
| Dec 31, 2022 | 1.21 Bn |
| Sep 30, 2022 | 1.16 Bn |
| Jun 30, 2022 | 1.17 Bn |
| Mar 31, 2022 | 1.17 Bn |
| Dec 31, 2021 | 1.17 Bn |
| Sep 30, 2021 | 1.07 Bn |
Newmarket Non-Current Assets 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=non-current-assets&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();