General Mills (GIS) Tax Provisions (2009 - 2026)
General Mills (GIS) reported Tax Provisions of $122.8 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 70.1% from $410.9 million a year earlier.
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Analysis
General Mills (GIS) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 30, 2026, General Mills' Tax Provisions came in at $126.2 million, down 84.7% year-over-year; for FY2026 (ended May 31, 2026), it came in at $414.3 million, down 27.8% from FY2025.
- Tax Provisions has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -8.0% (FY2021 to FY2026).
- By fiscal year, Tax Provisions came in at $573.7 million in FY2025 (-3.5%), $594.5 million in FY2024 (-2.9%), $612.2 million in FY2023 (+4.4%) and $586.3 million in FY2022 (-6.8%).
- Five-year quarterly Tax Provisions spans a low of -$240.4 million in fiscal Q4 2026 and a high of $410.9 million in fiscal Q1 2026.
- Year over year, Tax Provisions gained in three of the last seven quarters, with growth averaging 3.8%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q1 2026 (growth of 161.1%); the low point was fiscal Q1 2027 (a decline of 70.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -$240.4 million (Q4 2026), $99.9 million (Q3 2026) and $143.9 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 364.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 130.62 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -916.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 122.80 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 103.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 63.50 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 43.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 31.40 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 58.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 122.80 Mn |
| May 31, 2026 | -240.40 Mn |
| Feb 22, 2026 | 99.90 Mn |
| Nov 23, 2025 | 143.90 Mn |
| Aug 24, 2025 | 410.90 Mn |
| May 25, 2025 | 69.10 Mn |
| Feb 23, 2025 | 152.40 Mn |
| Nov 24, 2024 | 194.80 Mn |
| Aug 25, 2024 | 157.40 Mn |
| May 26, 2024 | 136.00 Mn |
| Feb 25, 2024 | 149.30 Mn |
| Nov 26, 2023 | 136.00 Mn |
| Aug 27, 2023 | 173.20 Mn |
| May 28, 2023 | 140.70 Mn |
| Feb 26, 2023 | 108.30 Mn |
| Nov 27, 2022 | 147.10 Mn |
| Aug 28, 2022 | 216.10 Mn |
| May 29, 2022 | 134.50 Mn |
| Feb 27, 2022 | 123.20 Mn |
| Nov 28, 2021 | 159.70 Mn |
API Access
General Mills Tax Provisions 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=tax-provisions&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();