Newmarket (NEU) Operating Expenses (2009 - 2026)
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Analysis
Newmarket (NEU) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 1.35 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 877.00 Mn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 2.07 Bn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 7.43 Bn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | 158.00 Mn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 1.12 Bn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 305.00 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 108.60 Mn |
| 10 | Newmarket | 6.40 Bn | 6.08 Bn | 222.36 Mn | 79.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.42 Mn |
| Jun 30, 2026 | 78.76 Mn |
| Mar 31, 2026 | 77.65 Mn |
| Dec 31, 2025 | 80.75 Mn |
| Sep 30, 2025 | 78.97 Mn |
| Jun 30, 2025 | 77.80 Mn |
| Mar 31, 2025 | 76.15 Mn |
| Dec 31, 2024 | 74.93 Mn |
| Sep 30, 2024 | 74.32 Mn |
| Jun 30, 2024 | 71.50 Mn |
| Mar 31, 2024 | 75.57 Mn |
| Dec 31, 2023 | 75.79 Mn |
| Sep 30, 2023 | 69.28 Mn |
| Jun 30, 2023 | 71.40 Mn |
| Mar 31, 2023 | 73.00 Mn |
| Dec 31, 2022 | 70.02 Mn |
| Sep 30, 2022 | 69.58 Mn |
| Jun 30, 2022 | 73.89 Mn |
| Mar 31, 2022 | 71.87 Mn |
| Dec 31, 2021 | 71.31 Mn |
API Access
Newmarket Operating Expenses 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-expenses&ticker=NEU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();