Newmarket (NEU) Prepaid Assets (2009 - 2026)
Newmarket's (NEU) quarterly Prepaid Assets came in at $52.5 million in Q2 2026, up 7.13% year-over-year from $49.0 million in Q2 2025, and down 9.83% quarter-over-quarter from $58.2 million in Q1 2026.
Newmarket (NEU) Prepaid Assets (2009 - 2026) Analysis & Trends
Newmarket has disclosed Prepaid Assets across 18 years of filings, most recently posting $52.5 million for Q2 2026.
- In Q2 2026, Prepaid Assets rose 7.13% year-over-year to $52.5 million; the TTM figure through Jun 2026 stood at $52.5 million (up 7.13% YoY), while the FY2025 annual figure was $57.8 million, up 12.83% from the prior year.
- Prepaid Assets came in at $52.5 million for Q2 2026 at Newmarket, down from $58.2 million in the prior quarter.
- In the past five years, Prepaid Assets ranged from a high of $58.2 million in Q1 2026 to a low of $31.9 million in Q3 2023.
- Average Prepaid Assets over 5 years is $43.4 million, with a median of $40.3 million recorded in 2022.
- Year-over-year, Prepaid Assets decreased 7.47% in 2023 and surged 35.41% in 2025.
- Over 5 years, Prepaid Assets stood at $38.3 million in 2022, then rose by 1.86% to $39.1 million in 2023, then soared by 31.12% to $51.2 million in 2024, then increased by 12.83% to $57.8 million in 2025, then dropped by 9.14% to $52.5 million in 2026.
- Per Business Quant data, the three most recent Prepaid Assets figures were $52.5 million in Q2 2026, $58.2 million in Q1 2026, and $57.8 million in Q4 2025.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.49 Mn |
| Mar 31, 2026 | 58.22 Mn |
| Dec 31, 2025 | 57.77 Mn |
| Sep 30, 2025 | 47.73 Mn |
| Jun 30, 2025 | 49.00 Mn |
| Mar 31, 2025 | 52.42 Mn |
| Dec 31, 2024 | 51.20 Mn |
| Sep 30, 2024 | 35.25 Mn |
| Jun 30, 2024 | 39.46 Mn |
| Mar 31, 2024 | 44.01 Mn |
| Dec 31, 2023 | 39.05 Mn |
| Sep 30, 2023 | 31.86 Mn |
| Jun 30, 2023 | 35.55 Mn |
| Mar 31, 2023 | 38.11 Mn |
| Dec 31, 2022 | 38.34 Mn |
| Sep 30, 2022 | 33.85 Mn |
| Jun 30, 2022 | 36.28 Mn |
| Mar 31, 2022 | 41.18 Mn |
| Dec 31, 2021 | 38.63 Mn |
| Sep 30, 2021 | 34.46 Mn |
Newmarket Prepaid Assets 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=prepaid-assets&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();