Newmarket (NEU) Exchange Rate Effect (2009 - 2026)
Newmarket's (NEU) quarterly Exchange Rate Effect came in at -$82000.0 in Q2 2026, down 102.78% year-over-year from $2.9 million in Q2 2025, and up 98.13% quarter-over-quarter from -$4.4 million in Q1 2026.
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Analysis
Newmarket (NEU) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Newmarket has disclosed Exchange Rate Effect across 18 years of filings, most recently posting -$82000.0 for Q2 2026.
- In Q2 2026, Exchange Rate Effect fell 102.78% year-over-year to -$82000.0; the TTM figure through Jun 2026 stood at -$8.0 million (down 224.68% YoY), while the FY2025 annual figure was $1.4 million, up 229.93% from the prior year.
- Exchange Rate Effect came in at -$82000.0 for Q2 2026 at Newmarket, up from -$4.4 million in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $3.7 million in Q3 2024 to a low of -$4.4 million in Q1 2026.
- Average Exchange Rate Effect over 5 years is -$89888.9, with a median of $169000.0 recorded in 2023.
- Year-over-year, Exchange Rate Effect jumped 1993.21% in 2022 and sank 483.81% in 2024.
- Over 5 years, Exchange Rate Effect stood at $3.1 million in 2022, then grew by 8.35% to $3.3 million in 2023, then plunged by 166.96% to -$2.2 million in 2024, then jumped by 120.22% to $450000.0 in 2025, then tumbled by 118.22% to -$82000.0 in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were -$82000.0 in Q2 2026, -$4.4 million in Q1 2026, and $450000.0 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (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 | -11.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 9.00 Mn |
| 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 | 1.80 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Newmarket | 8.20 Bn | 8.11 Bn | 242.43 Mn | -82,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -82,000.00 |
| Mar 31, 2026 | -4.40 Mn |
| Dec 31, 2025 | 450,000.00 |
| Sep 30, 2025 | -3.97 Mn |
| Jun 30, 2025 | 2.95 Mn |
| Mar 31, 2025 | 1.95 Mn |
| Dec 31, 2024 | -2.23 Mn |
| Sep 30, 2024 | 3.74 Mn |
| Jun 30, 2024 | -966,000.00 |
| Mar 31, 2024 | -1.61 Mn |
| Dec 31, 2023 | 3.32 Mn |
| Sep 30, 2023 | -2.59 Mn |
| Jun 30, 2023 | 1.14 Mn |
| Mar 31, 2023 | 420,000.00 |
| Dec 31, 2022 | 3.07 Mn |
| Sep 30, 2022 | -2.08 Mn |
| Jun 30, 2022 | -1.60 Mn |
| Mar 31, 2022 | 867,000.00 |
| Dec 31, 2021 | -162,000.00 |
| Sep 30, 2021 | -1.47 Mn |
API Access
Newmarket Exchange Rate Effect 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=exchange-rate-effect&ticker=NEU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();