Constellation Brands (STZ) Exchange Rate Effect (2009 - 2026)
Constellation Brands (STZ) posted Exchange Rate Effect of -$400000.0 for Q2 2026, down 119.05% on a QoQ basis from $2.1 million in Q1 2026, and down 117.39% year-over-year from $2.3 million in Q2 2025.
Constellation Brands (STZ) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Constellation Brands has reported Exchange Rate Effect for 18 years, with the latest figure at -$400000.0 in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 117.39% year-over-year to -$400000.0 in Q2 2026; TTM through May 2026 was $2.1 million, a 90.91% increase from a year earlier, with the FY2026 full-year figure at $4.8 million, up 4700.0% from the prior year.
- Exchange Rate Effect was -$400000.0 for Q2 2026 at Constellation Brands, down from $2.1 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $2.3 million in Q2 2025, with the low at -$2.2 million in Q3 2022.
- Average Exchange Rate Effect over 5 years is $23529.4, with a median of -$200000.0 recorded in 2025.
- The sharpest annual moves came in 2022 and 2024: Exchange Rate Effect slumped 2300.0% in 2022, then soared 550.0% in 2024.
- Over 5 years, Exchange Rate Effect stood at $1.5 million in 2022, then sank by 126.67% to -$400000.0 in 2023, then slumped by 75.0% to -$700000.0 in 2024, then surged by 71.43% to -$200000.0 in 2025, then sank by 100.0% to -$400000.0 in 2026.
- The last three Exchange Rate Effect figures came in at -$400000.0 (Q2 2026), $2.1 million (Q1 2026), and -$200000.0 (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 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn | -400,000.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -400,000.00 |
| Feb 28, 2026 | 2.10 Mn |
| Nov 30, 2025 | -200,000.00 |
| Aug 31, 2025 | 600,000.00 |
| May 31, 2025 | 2.30 Mn |
| Feb 28, 2025 | -700,000.00 |
| Nov 30, 2024 | -700,000.00 |
| Aug 31, 2024 | 200,000.00 |
| May 31, 2024 | 1.30 Mn |
| Feb 29, 2024 | -1.30 Mn |
| Nov 30, 2023 | -400,000.00 |
| Aug 31, 2023 | 900,000.00 |
| May 31, 2023 | 200,000.00 |
| Feb 28, 2023 | -1.00 Mn |
| Nov 30, 2022 | 1.50 Mn |
| Aug 31, 2022 | -2.20 Mn |
| May 31, 2022 | -1.80 Mn |
| Nov 30, 2021 | -1.70 Mn |
| Aug 31, 2021 | 100,000.00 |
| May 31, 2021 | 300,000.00 |
Constellation 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=STZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "STZ", "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=STZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();