Campbell'S (CPB) Exchange Rate Effect (2009 - 2026)
Campbell'S's Exchange Rate Effect came in at -$2 million for fiscal Q4 2026 (quarter ended Aug 2, 2026), compared with $1 million a year earlier.
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Analysis
Campbell'S (CPB) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 2, 2026), Campbell'S's Exchange Rate Effect was -$1 million.
- Going back by fiscal year, Exchange Rate Effect was -$1 million in FY2025, -$1 million in FY2024 and -$1 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.00 Mn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 2.60 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -5.00 Mn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | -200,000.00 |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | -4.60 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | -1.30 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 1.29 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | -300,000.00 |
| 10 | Campbell'S | 5.98 Bn | 4.76 Bn | 583.00 Mn | -2.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | -2.00 Mn |
| Feb 1, 2026 | 1.00 Mn |
| Aug 3, 2025 | 1.00 Mn |
| Apr 27, 2025 | -1.00 Mn |
| Oct 27, 2024 | -1.00 Mn |
| Jul 28, 2024 | -1.00 Mn |
| Jan 29, 2023 | 1.00 Mn |
| Oct 30, 2022 | -1.00 Mn |
| Jan 30, 2022 | -1.00 Mn |
| May 2, 2021 | 1.00 Mn |
| Jan 31, 2021 | 1.00 Mn |
| Aug 2, 2020 | 1.00 Mn |
| Apr 26, 2020 | -2.00 Mn |
| Jan 26, 2020 | 1.00 Mn |
| Oct 27, 2019 | -1.00 Mn |
| Jul 28, 2019 | -2.00 Mn |
| Apr 28, 2019 | -2.00 Mn |
| Jan 27, 2019 | 1.00 Mn |
| Oct 28, 2018 | -4.00 Mn |
| Jul 29, 2018 | -7.00 Mn |
API Access
Campbell'S 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=CPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CPB", "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=CPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();