Newmarket (NEU) Inventory Average (2010 - 2026)
Newmarket's (NEU) quarterly Inventory Average came in at $509.3 million in Q2 2026, up 3.44% year-over-year from $492.3 million in Q2 2025, and up 2.13% quarter-over-quarter from $498.6 million in Q1 2026.
Newmarket (NEU) Inventory Average (2010 - 2026) Analysis & Trends
Newmarket has disclosed Inventory Average across 17 years of filings, most recently posting $509.3 million for Q2 2026.
- In Q2 2026, Inventory Average rose 3.44% year-over-year to $509.3 million; the TTM figure through Jun 2026 stood at $509.3 million (up 3.44% YoY), while the FY2025 annual figure was $503.8 million, up 4.79% from the prior year.
- Inventory Average came in at $509.3 million for Q2 2026 at Newmarket, up from $498.6 million in the prior quarter.
- In the past five years, Inventory Average ranged from a high of $611.8 million in Q4 2022 to a low of $474.9 million in Q1 2024.
- Average Inventory Average over 5 years is $520.7 million, with a median of $510.3 million recorded in 2022.
- Year-over-year, Inventory Average climbed 25.36% in 2022 and declined 21.57% in 2023.
- Over 5 years, Inventory Average stood at $611.8 million in 2022, then decreased by 21.57% to $479.8 million in 2023, then increased by 8.36% to $519.9 million in 2024, then declined by 2.45% to $507.2 million in 2025, then rose by 0.4% to $509.3 million in 2026.
- Per Business Quant data, the three most recent Inventory Average figures were $509.3 million in Q2 2026, $498.6 million in Q1 2026, and $507.2 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory Avg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 12.45 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 12.40 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 6.75 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 6.20 Bn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | 10.54 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 331.00 Mn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 1.40 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 4.98 Bn |
| 10 | Newmarket | 8.20 Bn | 8.11 Bn | 242.43 Mn | 509.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 509.25 Mn |
| Mar 31, 2026 | 498.61 Mn |
| Dec 31, 2025 | 507.21 Mn |
| Sep 30, 2025 | 503.51 Mn |
| Jun 30, 2025 | 492.30 Mn |
| Mar 31, 2025 | 497.59 Mn |
| Dec 31, 2024 | 519.94 Mn |
| Sep 30, 2024 | 513.55 Mn |
| Jun 30, 2024 | 493.10 Mn |
| Mar 31, 2024 | 474.89 Mn |
| Dec 31, 2023 | 479.82 Mn |
| Sep 30, 2023 | 520.40 Mn |
| Jun 30, 2023 | 551.76 Mn |
| Mar 31, 2023 | 598.76 Mn |
| Dec 31, 2022 | 611.80 Mn |
| Sep 30, 2022 | 561.20 Mn |
| Jun 30, 2022 | 527.14 Mn |
| Mar 31, 2022 | 511.32 Mn |
| Dec 31, 2021 | 488.79 Mn |
| Sep 30, 2021 | 468.50 Mn |
Newmarket Inventory Average 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=inventory-average&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory-average", "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=inventory-average&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();