Newmarket (NEU) Inventory (2009 - 2026)
Newmarket's (NEU) quarterly Inventory came in at $523.5 million in Q2 2026, up 5.8% year-over-year from $494.8 million in Q2 2025, and up 5.78% quarter-over-quarter from $495.0 million in Q1 2026.
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Analysis
Newmarket (NEU) Inventory (2009 - 2026) Analysis & Trends
Newmarket has disclosed Inventory across 18 years of filings, most recently posting $523.5 million for Q2 2026.
- In Q2 2026, Inventory rose 5.8% year-over-year to $523.5 million; the TTM figure through Jun 2026 stood at $523.5 million (up 5.8% YoY), while the FY2025 annual figure was $502.3 million, down 0.63% from the prior year.
- Inventory came in at $523.5 million for Q2 2026 at Newmarket, up from $495.0 million in the prior quarter.
- In the past five years, Inventory ranged from a high of $631.4 million in Q4 2022 to a low of $456.2 million in Q4 2023.
- Average Inventory over 5 years is $521.4 million, with a median of $508.8 million recorded in 2024.
- Year-over-year, Inventory gained 26.65% in 2022 and fell 27.74% in 2023.
- Over 5 years, Inventory stood at $631.4 million in 2022, then declined by 27.74% to $456.2 million in 2023, then climbed by 10.78% to $505.4 million in 2024, then declined by 0.63% to $502.3 million in 2025, then rose by 4.24% to $523.5 million in 2026.
- Per Business Quant data, the three most recent Inventory figures were $523.5 million in Q2 2026, $495.0 million in Q1 2026, and $502.3 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 13.30 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 12.44 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 6.93 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 6.59 Bn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | 10.53 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 324.00 Mn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 1.44 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 5.26 Bn |
| 10 | Newmarket | 8.20 Bn | 8.11 Bn | 242.43 Mn | 523.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 523.55 Mn |
| Mar 31, 2026 | 494.96 Mn |
| Dec 31, 2025 | 502.26 Mn |
| Sep 30, 2025 | 512.17 Mn |
| Jun 30, 2025 | 494.85 Mn |
| Mar 31, 2025 | 489.76 Mn |
| Dec 31, 2024 | 505.43 Mn |
| Sep 30, 2024 | 534.46 Mn |
| Jun 30, 2024 | 492.64 Mn |
| Mar 31, 2024 | 493.55 Mn |
| Dec 31, 2023 | 456.23 Mn |
| Sep 30, 2023 | 503.41 Mn |
| Jun 30, 2023 | 537.38 Mn |
| Mar 31, 2023 | 566.14 Mn |
| Dec 31, 2022 | 631.38 Mn |
| Sep 30, 2022 | 592.22 Mn |
| Jun 30, 2022 | 530.19 Mn |
| Mar 31, 2022 | 524.09 Mn |
| Dec 31, 2021 | 498.54 Mn |
| Sep 30, 2021 | 479.04 Mn |
API Access
Newmarket Inventory 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&ticker=NEU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();