Newmarket (NEU) Other Accumulated Expenses (2010 - 2026)
Newmarket's (NEU) quarterly Other Accumulated Expenses came in at $7.0 million in Q2 2026, up 3.16% year-over-year from $6.7 million in Q2 2025, and up 55.29% quarter-over-quarter from $4.5 million in Q1 2026.
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Analysis
Newmarket (NEU) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
Newmarket has disclosed Other Accumulated Expenses across 17 years of filings, most recently posting $7.0 million for Q2 2026.
- In Q2 2026, Other Accumulated Expenses rose 3.16% year-over-year to $7.0 million; the TTM figure through Jun 2026 stood at $7.0 million (up 3.16% YoY), while the FY2025 annual figure was $13.9 million, up 126.17% from the prior year.
- Other Accumulated Expenses came in at $7.0 million for Q2 2026 at Newmarket, up from $4.5 million in the prior quarter.
- In the past five years, Other Accumulated Expenses ranged from a high of $16.1 million in Q4 2023 to a low of $4.5 million in Q3 2025.
- Average Other Accumulated Expenses over 5 years is $8.1 million, with a median of $6.8 million recorded in 2025.
- Year-over-year, Other Accumulated Expenses sank 61.68% in 2024 and jumped 126.17% in 2025.
- Over 5 years, Other Accumulated Expenses stood at $11.6 million in 2022, then jumped by 38.94% to $16.1 million in 2023, then slumped by 61.68% to $6.2 million in 2024, then jumped by 126.17% to $13.9 million in 2025, then sank by 50.05% to $7.0 million in 2026.
- Per Business Quant data, the three most recent Other Accumulated Expenses figures were $7.0 million in Q2 2026, $4.5 million in Q1 2026, and $13.9 million in Q4 2025.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.95 Mn |
| Mar 31, 2026 | 4.48 Mn |
| Dec 31, 2025 | 13.92 Mn |
| Sep 30, 2025 | 4.47 Mn |
| Jun 30, 2025 | 6.74 Mn |
| Mar 31, 2025 | 5.78 Mn |
| Dec 31, 2024 | 6.16 Mn |
| Sep 30, 2024 | 6.04 Mn |
| Jun 30, 2024 | 12.24 Mn |
| Mar 31, 2024 | 5.40 Mn |
| Dec 31, 2023 | 16.06 Mn |
| Sep 30, 2023 | 5.88 Mn |
| Jun 30, 2023 | 11.20 Mn |
| Mar 31, 2023 | 5.83 Mn |
| Dec 31, 2022 | 11.56 Mn |
| Sep 30, 2022 | 9.13 Mn |
| Jun 30, 2022 | 7.28 Mn |
| Mar 31, 2022 | 7.08 Mn |
| Dec 31, 2021 | 7.65 Mn |
| Sep 30, 2021 | 13.03 Mn |
API Access
Newmarket Other 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=other-accumulated-expenses&ticker=NEU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();