Primo Brands (PRMB) Exchange Rate Effect (2024 - 2026)
Primo Brands' (PRMB) quarterly Exchange Rate Effect came in at -$300000.0 in Q2 2026, down 118.75% year-over-year from $1.6 million in Q2 2025, and up 40.0% quarter-over-quarter from -$500000.0 in Q1 2026.
Primo Brands (PRMB) Exchange Rate Effect (2024 - 2026) Analysis & Trends
Primo Brands (PRMB) has reported Exchange Rate Effect for 3 consecutive years, with -$300000.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 118.75% year-over-year to -$300000.0 in Q2 2026; TTM through Jun 2026 was -$800000.0, a 180.0% decrease from a year earlier, with the FY2025 full-year figure at $2.1 million, up 240.0% from the prior year.
- Exchange Rate Effect was -$300000.0 for Q2 2026 at Primo Brands, up from -$500000.0 in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $1.6 million in Q2 2025 and troughed at -$1.2 million in Q4 2024.
- A 3-year average of -$20000.0 and a median of -$200000.0 in 2024 frame the typical range for Exchange Rate Effect.
- The widest YoY moves for Exchange Rate Effect: up 1700.0% in 2025, down 700.0% in 2025.
- Over 3 years, Exchange Rate Effect stood at -$1.2 million in 2024, then jumped by 150.0% to $600000.0 in 2025, then slumped by 150.0% to -$300000.0 in 2026.
- The last three Exchange Rate Effect figures came in at -$300000.0 (Q2 2026), -$500000.0 (Q1 2026), and $600000.0 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | -1.00 Mn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn | - |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn | 148.00 Mn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | -7.28 Mn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | -152.65 Mn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | -164.00 Mn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | 10.53 Mn |
| 10 | Primo Brands | 7.16 Bn | 6.80 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();