Unilever (UL) Exchange Rate Effect (2009 - 2014)
Unilever (UL) reported Exchange Rate Effect of -$562.65 million for FY2025, compared with $589.87 million in FY2024.
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Analysis
Unilever (UL) Exchange Rate Effect (2009 - 2014) Analysis & Trends
Dating back to FY2009, Unilever's Exchange Rate Effect record includes 17 years.
- The FY2025 figure ranks as the lowest annual Exchange Rate Effect since FY2015.
- According to Business Quant data, Exchange Rate Effect came in at $589.87 million in FY2024, -$128.72 million in FY2023, -$7.38 million in FY2022 and $337.27 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 2.00 Mn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 2.60 Mn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | -5.00 Mn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | -200,000.00 |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | -1.30 Mn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 200,000.00 |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 1.29 Mn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | -300,000.00 |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 500,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -182.48 Mn |
| Dec 31, 2012 | -285.32 Mn |
| Dec 31, 2010 | -200.98 Mn |
| Sep 30, 2010 | 2.58 Mn |
| Jun 30, 2010 | -360.78 Mn |
| Mar 31, 2010 | 98.31 Mn |
| Dec 31, 2009 | -255.48 Mn |
| Sep 30, 2009 | -32.89 Mn |
| Jun 30, 2009 | 25.87 Mn |
| Mar 31, 2009 | -257.62 Mn |
API Access
Unilever 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=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "UL", "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=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();