Newmarket (NEU) Accumulated Expenses (2009 - 2026)
Newmarket (NEU) recorded Accumulated Expenses of $95.2 million in Q2 2026, up 22.7% from $77.57 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Newmarket (NEU) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Newmarket reported Accumulated Expenses of $109.77 million, up 23.0% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $89.28 million in FY2024 (+16.6%), $76.55 million in FY2023 (-14.5%), $89.51 million in FY2022 (+5.2%) and $85.1 million in FY2021 (+8.5%).
- Quarterly Accumulated Expenses has ranged from $70.46 million in Q1 2025 to $109.77 million in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 12.5% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 34.6% in Q1 2026, against a decline of 15.5% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $94.82 million (Q1 2026), $109.77 million (Q4 2025) and $83.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn |
| 10 | Newmarket | 8.05 Bn | 7.70 Bn | 242.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.20 Mn |
| Mar 31, 2026 | 94.82 Mn |
| Dec 31, 2025 | 109.77 Mn |
| Sep 30, 2025 | 83.23 Mn |
| Jun 30, 2025 | 77.57 Mn |
| Mar 31, 2025 | 70.46 Mn |
| Dec 31, 2024 | 89.28 Mn |
| Sep 30, 2024 | 82.36 Mn |
| Jun 30, 2024 | 85.11 Mn |
| Mar 31, 2024 | 72.67 Mn |
| Dec 31, 2023 | 76.55 Mn |
| Sep 30, 2023 | 72.30 Mn |
| Jun 30, 2023 | 72.92 Mn |
| Mar 31, 2023 | 72.34 Mn |
| Dec 31, 2022 | 89.51 Mn |
| Sep 30, 2022 | 85.55 Mn |
| Jun 30, 2022 | 76.18 Mn |
| Mar 31, 2022 | 73.40 Mn |
| Dec 31, 2021 | 85.10 Mn |
| Sep 30, 2021 | 86.68 Mn |
API Access
Newmarket Accumulated 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=accumulated-expenses&ticker=NEU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();