Newmarket (NEU) Tax Provisions (2009 - 2026)
Newmarket's (NEU) quarterly Tax Provisions came in at $36.6 million in Q2 2026, little changed year-over-year from $36.4 million in Q2 2025, and up 8.93% quarter-over-quarter from $33.6 million in Q1 2026.
Newmarket (NEU) Tax Provisions (2009 - 2026) Analysis & Trends
Newmarket has disclosed Tax Provisions across 18 years of filings, most recently posting $36.6 million for Q2 2026.
- In Q2 2026, Tax Provisions changed 0.39% year-over-year to $36.6 million; the TTM figure through Jun 2026 stood at $137.4 million (up 1.79% YoY), while the FY2025 annual figure was $141.8 million, up 16.53% from the prior year.
- Tax Provisions came in at $36.6 million for Q2 2026 at Newmarket, up from $33.6 million in the prior quarter.
- In the past five years, Tax Provisions ranged from a high of $38.2 million in Q1 2025 to a low of $14.2 million in Q1 2022.
- Average Tax Provisions over 5 years is $27.9 million, with a median of $28.8 million recorded in 2023.
- Year-over-year, Tax Provisions dropped 27.82% in 2022 and surged 94.27% in 2023.
- Over 5 years, Tax Provisions stood at $17.8 million in 2022, then soared by 36.27% to $24.2 million in 2023, then dropped by 2.9% to $23.5 million in 2024, then soared by 35.55% to $31.9 million in 2025, then rose by 14.81% to $36.6 million in 2026.
- Per Business Quant data, the three most recent Tax Provisions figures were $36.6 million in Q2 2026, $33.6 million in Q1 2026, and $31.9 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (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 | 407.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -291.00 Mn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 2.01 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 | 160.68 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Newmarket | 8.20 Bn | 8.11 Bn | 242.43 Mn | 36.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.59 Mn |
| Mar 31, 2026 | 33.59 Mn |
| Dec 31, 2025 | 31.87 Mn |
| Sep 30, 2025 | 35.34 Mn |
| Jun 30, 2025 | 36.44 Mn |
| Mar 31, 2025 | 38.16 Mn |
| Dec 31, 2024 | 23.51 Mn |
| Sep 30, 2024 | 36.85 Mn |
| Jun 30, 2024 | 31.37 Mn |
| Mar 31, 2024 | 29.96 Mn |
| Dec 31, 2023 | 24.21 Mn |
| Sep 30, 2023 | 23.24 Mn |
| Jun 30, 2023 | 25.09 Mn |
| Mar 31, 2023 | 27.57 Mn |
| Dec 31, 2022 | 17.77 Mn |
| Sep 30, 2022 | 17.10 Mn |
| Jun 30, 2022 | 19.14 Mn |
| Mar 31, 2022 | 14.19 Mn |
| Dec 31, 2021 | 12.76 Mn |
| Sep 30, 2021 | 9.12 Mn |
Newmarket Tax Provisions 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=tax-provisions&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();