Newmarket (NEU) Receivables - Net (2009 - 2026)
Newmarket's (NEU) quarterly Receivables - Net came in at $480.7 million in Q2 2026, up 5.95% year-over-year from $453.7 million in Q2 2025, and up 9.64% quarter-over-quarter from $438.4 million in Q1 2026.
Newmarket (NEU) Receivables - Net (2009 - 2026) Analysis & Trends
Newmarket has disclosed Receivables - Net across 18 years of filings, most recently posting $480.7 million for Q2 2026.
- In Q2 2026, Receivables - Net rose 5.95% year-over-year to $480.7 million; the TTM figure through Jun 2026 stood at $480.7 million (up 5.95% YoY), while the FY2025 annual figure was $422.1 million, up 6.74% from the prior year.
- Receivables - Net came in at $480.7 million for Q2 2026 at Newmarket, up from $438.4 million in the prior quarter.
- In the past five years, Receivables - Net ranged from a high of $515.0 million in Q2 2022 to a low of $395.4 million in Q4 2024.
- Average Receivables - Net over 5 years is $455.7 million, with a median of $455.5 million recorded in 2023.
- Year-over-year, Receivables - Net gained 28.95% in 2022 and declined 15.29% in 2023.
- Over 5 years, Receivables - Net stood at $453.7 million in 2022, then decreased by 4.7% to $432.3 million in 2023, then dropped by 8.53% to $395.4 million in 2024, then rose by 6.74% to $422.1 million in 2025, then gained by 13.89% to $480.7 million in 2026.
- Per Business Quant data, the three most recent Receivables - Net figures were $480.7 million in Q2 2026, $438.4 million in Q1 2026, and $422.1 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 | 480.73 Mn |
| Mar 31, 2026 | 438.44 Mn |
| Dec 31, 2025 | 422.08 Mn |
| Sep 30, 2025 | 438.79 Mn |
| Jun 30, 2025 | 453.71 Mn |
| Mar 31, 2025 | 463.34 Mn |
| Dec 31, 2024 | 395.45 Mn |
| Sep 30, 2024 | 487.61 Mn |
| Jun 30, 2024 | 495.52 Mn |
| Mar 31, 2024 | 464.69 Mn |
| Dec 31, 2023 | 432.35 Mn |
| Sep 30, 2023 | 427.76 Mn |
| Jun 30, 2023 | 436.25 Mn |
| Mar 31, 2023 | 457.20 Mn |
| Dec 31, 2022 | 453.69 Mn |
| Sep 30, 2022 | 476.06 Mn |
| Jun 30, 2022 | 515.00 Mn |
| Mar 31, 2022 | 464.51 Mn |
| Dec 31, 2021 | 391.78 Mn |
| Sep 30, 2021 | 414.85 Mn |
Newmarket Receivables - Net 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=receivables-net&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();