Newmarket (NEU) Operating Expenses (2009 - 2026)
Newmarket (NEU) reported Operating Expenses of $78.76 million for Q2 2026, up 1.2% from $77.8 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Newmarket (NEU) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Newmarket's Operating Expenses came in at $316.13 million, up 4.3% year-over-year; for FY2025, it came in at $313.68 million, up 5.9% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $296.31 million in FY2024 (+2.4%), $289.47 million in FY2023 (+1.4%), $285.36 million in FY2022 (-1.6%) and $289.93 million in FY2021 (+2.4%).
- Five-year quarterly Operating Expenses spans a low of $69.28 million in Q3 2023 and a high of $80.75 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last six quarters, with growth averaging 4.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 10.8%); the low point was Q3 2022 (a decline of 7.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $77.65 million (Q1 2026), $80.75 million (Q4 2025) and $78.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 298.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 1.15 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Newmarket | 8.11 Bn | 7.76 Bn | 242.43 Mn | 78.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 75.12 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();