General Mills (GIS) Exchange Rate Effect (2009 - 2026)
General Mills' Exchange Rate Effect was -$200,000 in fiscal Q1 2027 (quarter ended Aug 30, 2026), compared with $4.4 million a year earlier.
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Analysis
General Mills (GIS) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Mills' Exchange Rate Effect was $13.8 million through Aug 30, 2026, up 263.2% year-over-year; for FY2026 (ended May 31, 2026), it was $18.4 million, up 581.5% from FY2025.
- Exchange Rate Effect shows a five-year compound annual growth rate of -24.0% (FY2021 to FY2026).
- In earlier fiscal years, Exchange Rate Effect was $2.7 million in FY2025, -$400,000 in FY2024, -$12 million in FY2023 and -$58 million in FY2022.
- Quarterly Exchange Rate Effect has moved between -$28.4 million (fiscal Q4 2022) and $20.4 million (fiscal Q3 2026) over five years.
- Per Business Quant data, GIS's Exchange Rate Effect in the three fiscal quarters before Q1 2027 was -$500,000 (Q4 2026), $20.4 million (Q3 2026) and -$5.9 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 2.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 2.60 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -5.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | -200,000.00 |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | -1.30 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | -4.60 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 1.29 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | -300,000.00 |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 200,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | -200,000.00 |
| May 31, 2026 | -500,000.00 |
| Feb 22, 2026 | 20.40 Mn |
| Nov 23, 2025 | -5.90 Mn |
| Aug 24, 2025 | 4.40 Mn |
| May 25, 2025 | 17.70 Mn |
| Feb 23, 2025 | 1.10 Mn |
| Nov 24, 2024 | -19.40 Mn |
| Aug 25, 2024 | 3.30 Mn |
| May 26, 2024 | 200,000.00 |
| Feb 25, 2024 | -2.90 Mn |
| Nov 26, 2023 | 5.30 Mn |
| Aug 27, 2023 | -3.00 Mn |
| May 28, 2023 | 4.00 Mn |
| Feb 26, 2023 | 4.60 Mn |
| Nov 27, 2022 | -100,000.00 |
| Aug 28, 2022 | -20.50 Mn |
| May 29, 2022 | -28.40 Mn |
| Feb 27, 2022 | 5.50 Mn |
| Nov 28, 2021 | -17.00 Mn |
API Access
General Mills 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=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "GIS", "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=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();