Newmarket (NEU) Operating Leases (2019 - 2026)
Newmarket's (NEU) quarterly Operating Leases came in at $67.1 million in Q2 2026, up 13.05% year-over-year from $59.4 million in Q2 2025, and up 4.79% quarter-over-quarter from $64.1 million in Q1 2026.
Newmarket (NEU) Operating Leases (2019 - 2026) Analysis & Trends
Newmarket has disclosed Operating Leases across 8 years of filings, most recently posting $67.1 million for Q2 2026.
- In Q2 2026, Operating Leases rose 13.05% year-over-year to $67.1 million; the TTM figure through Jun 2026 stood at $67.1 million (up 13.05% YoY), while the FY2025 annual figure was $62.0 million, down 11.48% from the prior year.
- Operating Leases came in at $67.1 million for Q2 2026 at Newmarket, up from $64.1 million in the prior quarter.
- In the past five years, Operating Leases ranged from a high of $70.1 million in Q4 2023 to a low of $45.6 million in Q1 2023.
- Average Operating Leases over 5 years is $58.0 million, with a median of $58.7 million recorded in 2025.
- Year-over-year, Operating Leases declined 14.14% in 2023 and soared 30.98% in 2024.
- Over 5 years, Operating Leases stood at $62.5 million in 2022, then gained by 12.14% to $70.1 million in 2023, then fell by 0.06% to $70.1 million in 2024, then fell by 11.48% to $62.0 million in 2025, then increased by 8.19% to $67.1 million in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $67.1 million in Q2 2026, $64.1 million in Q1 2026, and $62.0 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 | 67.12 Mn |
| Mar 31, 2026 | 64.05 Mn |
| Dec 31, 2025 | 62.05 Mn |
| Sep 30, 2025 | 61.93 Mn |
| Jun 30, 2025 | 59.38 Mn |
| Mar 31, 2025 | 58.10 Mn |
| Dec 31, 2024 | 70.09 Mn |
| Sep 30, 2024 | 57.62 Mn |
| Jun 30, 2024 | 58.01 Mn |
| Mar 31, 2024 | 59.71 Mn |
| Dec 31, 2023 | 70.13 Mn |
| Sep 30, 2023 | 49.09 Mn |
| Jun 30, 2023 | 47.72 Mn |
| Mar 31, 2023 | 45.59 Mn |
| Dec 31, 2022 | 62.54 Mn |
| Sep 30, 2022 | 47.90 Mn |
| Jun 30, 2022 | 50.47 Mn |
| Mar 31, 2022 | 53.10 Mn |
| Dec 31, 2021 | 68.30 Mn |
| Sep 30, 2021 | 52.32 Mn |
Newmarket Operating 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=operating-leases&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-leases&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();