Newmarket (NEU) Current Leases (2019 - 2026)
Newmarket's (NEU) quarterly Current Leases came in at $18.0 million in Q2 2026, up 4.68% year-over-year from $17.2 million in Q2 2025, and up 11.35% quarter-over-quarter from $16.1 million in Q1 2026.
Newmarket (NEU) Current Leases (2019 - 2026) Analysis & Trends
Newmarket has disclosed Current Leases across 8 years of filings, most recently posting $18.0 million for Q2 2026.
- In Q2 2026, Current Leases rose 4.68% year-over-year to $18.0 million; the TTM figure through Jun 2026 stood at $18.0 million (up 4.68% YoY), while the FY2025 annual figure was $16.2 million, up 5.66% from the prior year.
- Current Leases came in at $18.0 million for Q2 2026 at Newmarket, up from $16.1 million in the prior quarter.
- In the past five years, Current Leases ranged from a high of $18.0 million in Q2 2026 to a low of $14.0 million in Q3 2023.
- Average Current Leases over 5 years is $15.8 million, with a median of $15.7 million recorded in 2022.
- Year-over-year, Current Leases fell 11.3% in 2023 and rose 15.5% in 2025.
- Over 5 years, Current Leases stood at $15.6 million in 2022, then slipped by 3.18% to $15.1 million in 2023, then advanced by 1.74% to $15.3 million in 2024, then climbed by 5.66% to $16.2 million in 2025, then gained by 10.91% to $18.0 million in 2026.
- Per Business Quant data, the three most recent Current Leases figures were $18.0 million in Q2 2026, $16.1 million in Q1 2026, and $16.2 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Leases (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 | -2.32 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 | 17.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.97 Mn |
| Mar 31, 2026 | 16.14 Mn |
| Dec 31, 2025 | 16.21 Mn |
| Sep 30, 2025 | 16.91 Mn |
| Jun 30, 2025 | 17.17 Mn |
| Mar 31, 2025 | 16.30 Mn |
| Dec 31, 2024 | 15.34 Mn |
| Sep 30, 2024 | 15.68 Mn |
| Jun 30, 2024 | 14.87 Mn |
| Mar 31, 2024 | 15.51 Mn |
| Dec 31, 2023 | 15.07 Mn |
| Sep 30, 2023 | 13.96 Mn |
| Jun 30, 2023 | 14.53 Mn |
| Mar 31, 2023 | 14.95 Mn |
| Dec 31, 2022 | 15.57 Mn |
| Sep 30, 2022 | 15.74 Mn |
| Jun 30, 2022 | 16.02 Mn |
| Mar 31, 2022 | 16.17 Mn |
| Dec 31, 2021 | 15.71 Mn |
| Sep 30, 2021 | 15.23 Mn |
Newmarket Current Leases 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=current-leases&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-leases", "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=current-leases&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();