Primo Brands (PRMB) Exchange Rate Effect (2024 - 2026)
Primo Brands' Exchange Rate Effect came in at -$300,000 for Q2 2026, compared with $1.6 million a year earlier.
Primo Brands (PRMB) Exchange Rate Effect (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Primo Brands reported Exchange Rate Effect of -$800,000; for FY2025, it was $2.1 million.
- Going back by year, Exchange Rate Effect was -$1.5 million in FY2024, $200,000 in FY2023 and -$200,000 in FY2022.
- The five-year range for quarterly Exchange Rate Effect is -$1.2 million (Q4 2024) to $1.6 million (Q2 2025).
- Business Quant data shows PRMB's Exchange Rate Effect at -$500,000 (Q1 2026), $600,000 (Q4 2025) and -$600,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 394.76 Bn | 381.23 Bn | 8.42 Bn | -1.00 Mn |
| 2 | Coca Cola Femsa Sab De Cv | 193.90 Bn | 193.90 Bn | 2.06 Bn | - |
| 3 | Pepsico | 175.24 Bn | 133.00 Bn | 13.75 Bn | -431.00 Mn |
| 4 | Monster Beverage | 88.77 Bn | 77.03 Bn | 1.42 Bn | -7.28 Mn |
| 5 | Diageo | 52.19 Bn | 32.26 Bn | - | - |
| 6 | Ambev | 50.68 Bn | 35.97 Bn | 2.06 Bn | -152.65 Mn |
| 7 | Coca-Cola Europacific Partners | 50.06 Bn | 42.72 Bn | - | - |
| 8 | Keurig Dr Pepper | 46.50 Bn | 42.54 Bn | 3.07 Bn | -164.00 Mn |
| 9 | Constellation Brands | 22.07 Bn | 21.62 Bn | 1.39 Bn | -200,000.00 |
| 10 | Primo Brands | 6.91 Bn | 5.45 Bn | 548.70 Mn | -300,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -300,000.00 |
| Mar 31, 2026 | -500,000.00 |
| Dec 31, 2025 | 600,000.00 |
| Sep 30, 2025 | -600,000.00 |
| Jun 30, 2025 | 1.60 Mn |
| Mar 31, 2025 | 500,000.00 |
| Dec 31, 2024 | -1.20 Mn |
| Sep 30, 2024 | 100,000.00 |
| Jun 30, 2024 | -100,000.00 |
| Mar 31, 2024 | -300,000.00 |
Primo Brands 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=PRMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "PRMB", "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=PRMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();